annual report 2015 - university of tasmania · dr bernardo a. león de la barra industry partner:...

Centre for Renewable Energy and Power Systems

Annual Report

2015

Centre for Renewable Energy and Power Systems Annual Report 2015 2

Contents

Staff and Students…………………………………………………………………………………………..3

Foreword……...…………………………………………………………………………………………….4

Research Program Overview……………………………………………………………………………….5

Research Projects…………………………………………………………………………………………...6

Education Training and Outreach…………………………………………………………………………21

Funding……………………………………………………………………………………………………23

List of Publications………………………………………………………………………………………..24

Refereed Journal Publications…………………………..………………………………………..24

Refereed Conference Publications……………………………..…………………………………26


Staff and Students

Academic Staff:

Prof Michael Negnevitsky (Director)

Dr Enamul Haque

Dr Alan Henderson (Program Director)

Dr Danchi Jiang

Dr Jason Lavroff

Dr Bernardo León de la Barra

Dr Sarah Lyden

Mr Graeme Vertigan

Dr Xiaolin Wang (Deputy and Program Director)

Honorary Research Professors:

Prof Vic Gosbell

Prof Gerard Ledwich

Dr Marian Piekutowski

Technical Staff:

Mr James Lamont

Mr Bernard Chenery

Mr Cal Gerard

Research students:

Omid Afshar

Seyedjavad Alavimehr

Bernd Brinkmann

James Hamilton

Saeid Seddegh Kiyaroudi

Pengcheng Ji

Jason McVicar

Benjamin Miller

Seyedbehzad Naderi

Dusan Nikolic

Zane Smith

Ahmad Tavakoli

Yunchuan Zhang

Endeavour Fellow:

Dr Ali A. Alahmer

Honours students:

Saiful Akmal Azhar

Rhys Browning

Paul Cartwright

Siti Maryam Bazilah Che Hasim

Xiang Yung Choo

Sophia Chung

Owen Clifford

Quoc Su Dinh

Junnan Dong

Mitchel Evans

Alison Farquhar

Nicholas Faleide Lester

Nik Fathi

Pawanjot Grewal

Samuel Hach

Hanif Jalaludin

Alexander Kidd

Xiaozhe Li

Wei Li

John Mansour

Laearna Maxfield

Daniel Minnucci

Pengcheng Pan

Sophiya Patel

Zaid Rafique

Maryam Saiful Bahri

Julian Warren

Edward Williams

Fiona Williams

Xinliang Zhao


FOREWORD

The Centre for Renewable Energy and Power

Systems in the School of Engineering and ICT

was established in 2007 and provides research,

consulting and professional development in

renewable energy and power systems for the

power industry, major power users, and those

with a direct interest in sustainable energy

solutions. We exist to transform the power

industry, train professionals in renewable energy

and power systems, develop knowledge and

sustainable technology and inform decision

makers. The vision of the Centre is to be a world

class research and teaching institution and a

leader in the area of renewable energy and power

systems.

The power grid is transitioning from a traditional

system of poles and wires to a high-tech network:

“smart grid”. The smart grid and distributed

generation technologies are demanding a new

generation of engineers equipped with a much

more diverse skillset than ever before. The power

industry will see more changes in the next decade

than it has in the past century. Only innovative

smart solutions will assure the affordable, reliable

and environmentally responsible electricity

supply for the future.

2015 was a successful year for our Centre. We

received several grants from industry including

Hydro Tasmania, Energy Networks Association

Australia, TasNetworks, Goanna Energy

Consulting, Rural Industries Research and

Development Corporation, and the Australian

Power Institute. The US Office of Naval

Research Global awarded us a large grant to

conduct a new innovative research on “no load”

diesel technology. In the next three years this

technology will be integrated and tested in the

King Island power system to maximise

penetration of renewable energy.

In 2015, our Centre together with Hydro

Tasmania organised the Isolated Power System

International Technology Forum (CONNECT

2015). We assembled an excellent team of

international, national and local speakers who

addressed a wide spectrum of issues covering

integration of intermittent renewable energy in

isolated power systems, increasing photovoltaic

(PV) penetration, microgrid technologies and

customer expectations. The Forum was so

successful and attracted so much interest we have

decided to have it as an annual event!

This report details key research activities

undertaken within the Centre, our education,

outreach and training programs during 2015. It

also lists publications associated with the Centre

in 2015.

Professor Michael Negnevitsky

Director

Centre for Renewable Energy and Power Systems


Research Program Overview

The vision of the Centre for Renewable Energy and

Power Systems is “to be a world class research and

teaching institution and a leader in the area of

renewable energy and power systems”. The Centre

for Renewable Energy and Power Systems, was

established in February 2007 to advance research in

the area of renewable energy and electrical power,

and is based within the School of Engineering and

ICT at the University of Tasmania in Hobart,

Australia. The key business drivers for the centre

are a global lack of power engineers, the need for

renewable energy in the current global climate, and

the need for renewable energy integration into

existing power grids.

We aim to enhance both fundamental and applied

research in power and energy systems in Australia

by the creation of an organised, coordinated

structure in which research is focused into defined

programs through proven research teams. The

Centre for Renewable Energy and Power Systems is

a fully integrated centre combining electrical power,

civil and mechanical engineering and is ideally

placed in an environment where the dominant

energy sources are renewable. We have access to

the renewable energy infrastructure of Tasmanian

power utilities. The research undertaken by the

Centre fits into the UTAS research theme of

Environment, Resources and Sustainability. The

Centre works closely with the Institute of Marine

and Antarctic Studies (IMAS) and Australian

Maritime College (AMC), in addition to various

representatives from industry in targeted research

projects. The Centre aims to achieve the following

objectives:

- Build sustainable links to the global power

and energy systems research community;

- Expand research activity nationally and

internationally;

- Increase the number of research fellows

and higher degree research students;

- Attract externally funded grants and

facilitate contract research;

- Develop our teaching programs in

renewable energy and power systems; and

- Help the power industry meet the

challenges of the 21st century.

At present the Centre has three research programs.

Program 1: Electrical Power (Program Leader –

Professor Michael Negnevitsky)

This program focuses on diverse and challenging

problems facing the electric power industry in the

21st century. The Centre is especially interested in

technical problems associated with integration of

distributed and renewable generation into existing

power networks, hybrid remote area power supply

systems, network operation and security control,

load modelling, smart grids, and intelligent systems

applications to power systems.

Contact: [email protected]

Program 2: Energy Systems (Program Leader –

Dr Alan Henderson)

This program focuses on optimising the efficiency

and overcoming challenges relating to energy

transfer and conversion. Research areas include

turbines and turbomachinery, energy storage and

energy transport in mechanical forms, such as water,

heat and compressed air. The Centre is interested in

efficient use of energy in cogeneration or combined

heat and power systems. Energy storage techniques

are investigated to provide stability and ability to

deliver base load generation to renewable

generation systems.


Program 3: Sustainable and emerging technologies

(Program Leader – Dr Xiaolin Wang)

This program aims at addressing the technical

challenge in the application of low grade energy

resources including geothermal energy, solar

thermal, waste energy and coal-seam gas through a

new multidisciplinary fundamental science based

approach. The centre is interested in technical

problems related to heat pump technology,

desalination, low grade energy power generation,

energy conversion among three forms: thermal,

cooling and electricity, energy storage in gas,

thermal and electric forms, and energy efficiency in

building, cooling, power systems and cold-chain

technology.


mailto:[email protected]



RESEARCH PROJECTS


Evaluation of Glaciothermal

Engines for the Generation of

Polar Renewable Energy

Zane Smith (Masters Student)

Supervisory team: Prof Michael Negnevitsky,

Dr Xiaolin Wang, Dr Kelvin Michael*

*Institute for Marine and Antarctic Studies

(IMAS)

Providing reliable power services to remote

Arctic and Antarctic locations presents a

formidable task. Delivery of fossil fuel poses

expensive logistical challenges, especially for

sites subject to restricted seasonal access. Locally

renewable wind and solar energy resources help

to supplement diesel and other hydrocarbon fuels,

but the search continues for viable energy

alternatives. Latent heat from freezing seawater

or meltwater can be used to boil a high pressure

organic working fluid and drive a fluid expander

to generate electrical power. The extreme chill of

cold polar air provides an essential heat sink to

recondense the exhaust vapour. These sources

provide an opportunity to generate power from

seawater using glaciothermal power cycles.

Ambient temperatures may drop below -80°C

during winter at elevated interior sites, or down to

-50°C at high latitude ice shelf sites. A large

amount of heat is released upon freezing water

(~335 MJ per tonne ice formed) – equivalent to

energy released from a liquid water heat source

with a temperature difference of 80 C. Net

thermal efficiencies of 4—8% at interior sites

could be achieved if ice-slurry and tube-fin

condenser technologies are properly adapted for

use in glaciothermal power cycles.

This project reviews earlier research work and

proposes specific designs for a practical

glaciothermal engine that can generate power

from freezing water. The performance of a

250 kW engine was studied and the feasibility of

using such an engine to provide power at remote

cold climate sites was investigated. The

conceptual device provides a convenient way to

explore the behaviour of various processes

intrinsic to the operation of a glaciothermal

engine cycle.

The analysis includes investigation of underlying

physical processes and device working principles,

heat transfer modelling, and optimisation of an

ice-in-tube glaciothermal boiler, twin-screw

expander, tube-fin condenser and associated

devices. Year-round performance of the

glaciothermal power generator was investigated

around Antarctica, providing an overview of

potential applications of such a device in

Antarctica. Mean annual temperatures across the

Antarctic continent were mapped using

regression analysis of ice sheet temperature data.

Various performance enhancement techniques

were also discussed and potential locations for

utilizing the glaciothermal power engine were

identified.

The analysis demonstrates that glaciothermal

power generation can potentially contribute to

providing sustainable energy in very cold climate

conditions.

RESEARCH PROJECTS


Impact of Wind Power on

Power System Transient

Stability

Seyed Behzad Naderi (PhD Candidate)


Dr Bernardo A. León de la Barra

Industry Partner: Dr Marian Piekutowski

(Hydro Tasmania)

Stability of the power system during transient

situations is one of the most challenging issues

for researchers. The transient stability is linked to

the stability of the power system during large

disturbances including symmetrical or

asymmetrical grid faults. To have stable

conditions after various grid faults, the generation

units must remain connected to the power

network both during and after the fault.

Of all renewable energy sources, wind power is

the most important, especially in places located in

high altitudes or with considerable coastlines, for

example Tasmania. With the increasing

penetration of the wind power, more attention

should be placed on fault ride-through (FRT)

capability of the wind turbines during various

power system faults. To study the transient

stability of the power system including wind

power generation, the behaviour of all types of

wind turbines should be considered during fault

conditions. Wind turbine generators can be

divided into fixed speed and variable speed

(doubly fed induction generator) types.

A large number of fixed speed wind turbines

(FSWTs), which utilise squirrel cage induction

generator (SCIG) as wind energy conversion

system (WECS), have been installed over the past

decades. These generators have a low cost of

installation and maintenance, as well as reliable

and robust characteristics. In this research, a

controllable resistive type fault current limiter

(CR-FCL) has been proposed to achieve the

maximum FRT capability of the FSWT during

symmetrical and asymmetrical grid faults. Both

the fault location and the wind speed variations

have been employed in an analytical procedure to

produce an optimum resistance by the fault

current limiter through the use of a special

frequency and duty cycle. This optimum limiting

resistance ensures the maximum FRT capability

of the FSWT after the symmetrical and

asymmetrical fault occurrences. Simulation

results from PSCAD/EMTDC software have

been obtained during different operation

conditions and various fault types, to show the

effectiveness of the CR-FCL in producing the

maximum FRT of the FSWT.

This research also considers the capability of

doubly fed induction generator (DFIG) based

wind turbines to ride through faults. DFIG based

wind turbines (like Bluff Point and Studland Bay

Wind Farms in Tasmania) are partially converter

based wind turbines. The stator of the DFIG is

directly connected to the utility and only the rotor

circuit is linked to the network through the

partial-scale back-to-back connected voltage

source converters (VSCs). To improve FRT

capability of the DFIG during all grid faults, this

research proposes a novel FRT scheme with

minimum additional component, which can be

easily implemented by industry. Continuous

operation of the DFIG is ensured even at zero grid

voltage. The effectiveness of the proposed

method has been demonstrated by analytical,

simulation and experimental results.

RESEARCH PROJECTS


Development of an Electric

Motor and Controller System

Using Artificial Intelligence for

the Optimisation of an Electric

Formula SAE Racing Vehicle

Pengcheng Ji (Masters student)

Supervisory team: Dr Jason Lavroff,

Prof Michael Negnevitsky, Dr Timothy Gale,

Prof Peter Edward Doe

Industry Partner: Dr Dave Warren (Altium)

Formerly known as the Society of Automotive

Engineers, SAE International introduced the

Formula SAE (FSAE) series student vehicle

design competitions in 1979. Undergraduate and

graduate students from universities around the

world now enter FSAE in one or more

competitions annually. In 2014 a total of nine

FSAE competitions were held around the world.

The University of Tasmania Motorsport

Engineering (UME) team represented the

University of Tasmania at the FSAE Australasia

competition at Calder Park in Victoria in 2014

and 2015. The UME team intends on continuing

their involvement in FSAE-A by entering the

Australasia competition on an annual basis with a

short term plan to convert the existing internal

combustion car to an all-electric vehicle. This

will further develop undergraduate students and

also establish a postgraduate research group to

primarily develop electric vehicle technology that

will be transferrable to other industries both in the

automotive industry as well as the power industry.

This Masters project will be a continuation into

the investigation of motor controllers for

permanent magnet synchronous motors to

develop more efficient control systems applicable

to electric vehicle design in particular Formula

SAE. The aim of the work is to establish a test

platform consisting of an electric motor,

controller and battery system to be controlled and

tested using artificial intelligence that can be

incorporated into the development of an all new

UTAS FSAE electric vehicle by 2017 to

implement traction control and vector control

algorithms. The outcomes of the project will lead

the development of electric vehicle hardware and

software specific to FSAE car design based on the

implementation of more efficient control

algorithms to improve vehicle efficiency and

overall vehicle performance.

RESEARCH PROJECTS


Energy Exchange between Vehicle-

to-Grid Aggregators, and Wind and

Conventional Generating Companies

in the Electricity Market

Ahmad Tavakoli (PhD Candidate)

Supervisory team: Prof Michael Negnevitsky, Dr

Bernardo A. León de la Barra, Dr Enamul Haque

Industry Partner: Dr Marian Piekutowski (Hydro

Tasmania)

The future of humanity is dependent on saving the

environment from global warming caused by CO2

emissions. The remedies include increasing the

penetration of renewable energy in electricity

generation and electric vehicles (EVs) in

transportation. The main operational problem

associated with a high wind penetration and EVs

comes from intermittency and unpredictability.

Power systems will face increasing uncertainties

in both generation and load sides and there is no

coordination between them. Therefore,

coordinating the EV aggregator with the

generating companies in the electricity market can

enhance the stability of the power system via

unidirectional vehicle-to-grid (V2G) technology.

This project concentrates on the impact of the

participation of the EV load aggregator and wind

power, and the coordination strategy on the market

outcomes and prices.

Firstly, power exchange between the wind

generating companies (WGenCos) and EV load

aggregators considered as price-takers in the

energy and ancillary service markets is modelled

and analysed. A two-stage stochastic linear

programming-based optimal offering/bidding

strategy model is developed for the coordinated

EV-Wind units participating in the day-ahead

energy, balancing, and regulation markets. Finally,

the EV aggregator as price-maker which is in

generation portfolio of single and multiple

strategic firms including WGenCo and

conventional generating companies (CGenCos) is

modelled and investigated. A stochastic optimal

bidding/offering strategy is developed for the EV

load aggregator providing the energy and ancillary

services in coordination with single and multiple

strategic firms in a pool-based electricity market

with endogenous formation of day-ahead and real-

time prices, and EV aggregator tariff.

The methodology consists of using stochastic

optimization categorized into single and multiple

optimization problems. In the single optimization

problem, WGenCo and EV aggregator considered

as price-takers aim to maximize their objective

function associated with equality or inequality

constraints. In multiple optimization problems, the

strategic firms such as WGenCos, EV aggregators,

and other players considered as price-makers,

submit supply-offers/demand-bids to the market

operator to participate in the electricity market.

Numerical results show the effectiveness of the

coordination strategy, which is beneficial with

increasing EV penetration in comparison with the

incoordination strategy. We conclude that EV

aggregators as an individual firm could not

compete with other conventional, dispatchable

companies. Hence, merging EV aggregators in

CGenCos’ and WGenCos’ portfolio would

increase the payoff of EV aggregators and

strategic firms. However, a sufficient EV number

is a significant factor to affect market and EV

aggregator outputs. Moreover, the numerical

results show that the EV tariff and numbers at EV-

level can influence the market price and power

generation at wholesale-level in the electricity

market. High penetration of EVs leads to

increasing the wind power penetration

RESEARCH PROJECTS


Control and Power Management

of Photovoltaic System with

Plug-In Electric Hybrid Vehicles

as Energy Storage

Yuchuan Zhang (Masters Student)

Supervisory team: Dr Bernardo A. León de la

Barra, Dr Sarah Lyden, Dr Enamul Haque

With increasing petrol prices and concern about

climate change, the penetration Plug-In Electric

Hybrid Vehicles (PHEV) is increasing in the

personal automobile market due to the

advancement in the on-board energy storage

system (ESS). As this penetration level increases,

the charging of the battery will induce additional

power consumptions in the grid. These burdens can

be mitigated by solar energy extracted from grid-

connected photovoltaic (PV) system. Thus, the

main aim of the project is to design a grid-

connected photovoltaic (PV) system with PHEV as

energy storage. The advantages of this system are

that the power flow within the system can be

controlled in an efficient manner, and the ESS

within the PHEV can store the solar energy

produced in the daytime and use for charging at

night. In order to develop this system, accurate

modelling of PV system is required to develop

maximum power point tracking (MPPT) algorithm

for efficient operation of the PV system. A single

diode model (SDM) is utilised for modelling the

PV system due to its simplicity and accuracy. The

parameter values involved in the SDM must be

accurately estimated. A new genetic algorithm

approach to parameter estimation is developed to

estimate the parameter values within the SDM.

Sometimes there are multiple-local maximum

power points (MPP) exhibited in the PV

characteristic curves under the conditions of cloud

passing or partial shading. To effectively utilise the

energy generated by PV system under such

conditions, a two-stage MPPT technique will be

developed with its first stage using simulated

annealing (SA) technique to locate the region of

MPP and its second stage tracking the MPP by

Perturb & Observe (P&O) method.

The power management strategy of the grid-

connected PV system with PHEV is also

established based on state of charge (SOC) of the

on-board batteries and supercapacitors within the

vehicle, power output of PV system and the

conditions of the grid. This strategy also considers

the properties of battery and supercapacitor as well

as their combined effects in order to obtain higher

performance of ESS.

RESEARCH PROJECTS


A Multi-agent System for the

Asynchronous Distributed

Optimisation of a Smart Grid

Benjamin Samuel Millar (PhD Candidate)

Supervisory team: Dr Danchi Jiang, Dr Enamul

Haque

The rapid increase in smart distribution

technologies such as dispatchable distributed

generators (DG), storage and curtailable loads offer

greater levels of controllability and observability

over traditional distribution networks, which may

allow for greater system stability and optimality if

properly harnessed. These new opportunities come

with new challenges which require new problem

formulations and methods. Smart grid problems

demand flexible solutions capable of handling the

dynamic expandability of the smart grid.

Traditional, centralized solutions meet limitations

in this regard, with new control and monitoring

capabilities leading to the potential for excessive

data volumes, increased computational

requirements, and privacy issues. These concerns

motivate the need for improved optimization

approaches, and in particular intelligent,

decentralized methods which are capable of

reducing centralized communication bottlenecks,

distributing the processing of data, and protecting

privacy, while still being capable of maintaining

globally optimal or near-optimal operation.

In this project we address the problem of

optimizing smart grid operation with separable

global costs, separable non-convex constraints, and

inseparable linear constraints, while considering

important aspects of network operation such as

distributed generation and load mismatch, power

flow, and nodal voltage constraints. In particular,

distributed generators are optimally operated by

forming a multi-agent system (MAS) consisting of

generator agents and load agents. Agents within the

MAS network communicate only with their

neighbours, and through this limited information

exchange gain all the knowledge required to

optimise DG power output without breaching nodal

voltage constraints.

An asynchronous averaging consensus protocol is

developed to estimate the values of inseparable

global information. Specifically, the mismatch

between DG output, load consumption and

transmission loss is discovered. The consensus

protocol is then combined with a fully distributed

primal dual optimization utilizing an augmented

Lagrange function to overcome the issues of non-

convexity in the presence of nonlinear power flow

constraints. The presented algorithm uses only

local and neighbourhood communication to

simultaneously find the mismatch between power

generation, transmission loss and loads, to

calculate nodal voltages, and to minimize

distributed costs, leading to a completely

distributed solution of the global problem.

RESEARCH PROJECTS


The Effect of Biofouling on Tidal

Turbine Performance

Omid Afshar (PhD Candidate)

Supervisory team: Dr Alan Henderson, Dr Jessica

Walker, Dr Xiaolin Wang

Due to high oil prices and environmental pollution

issues, interest in the development of alternative

energy and related research has tremendously

increased. Renewable energy, one form of

alternative energy, utilizes energy that is constantly

replenished, and is therefore theoretically

inexhaustible. Among the many sources of

renewable energy available, tidal stream energy,

which is caused by the ebb and flood of a tide due

to the gravitational pull of the moon and sun, has

many attractive features as a clean energy resource.

A key concern associated with tidal turbines is their

long-term reliability when operating in the hostile

marine environment. Appropriate selection of

materials can inhibit corrosion; however, control of

the growth of algae, mussels and barnacles is a

challenge. Biofouling changes the physical shape

and roughness of turbine components, hence

altering the overall turbine performance. This

research seeks to employ Computational Fluid

Dynamics (CFD) methods to quantify the effects of

this problem based on the obtained flow field

information. The study focuses on a research turbine

with blades based on a NACA 63-618 aerofoil. The

Reynolds Averaged Navier-Stokes (RANS)

equations with Shear Stress Transport (SST)

turbulent model are used to simulate the flow

around the model with and without simulated

fouling. Varying roughness corresponding to

quantified fouling height and density is studied on a

2D NACA 63-618 aerofoil in addition to the

research turbine. The numerical results aim to

indicate how biofouling roughness alters turbine

section performance, in terms of lift and drag

coefficients, and also the influence this has on

turbine performance. Initial simulation results

show good agreement with the previous

experimental work carried out in wind tunnel.

RESEARCH PROJECTS


Solar Thermal Energy Storage

Systems using phase change

materials (PCM)

Saeid Seddegh (PhD Candidate)

Supervisory team: Dr Xiaolin Wang, Dr Alan

Henderson

Solar energy is a clean, abundant and easily

accessible form of renewable energy. Its

intermittent and dynamic nature makes thermal

energy storage (TES) systems highly valuable for

many solar applications by providing a reservoir of

energy to adjust the mismatch between energy

supply and demand, so that energy needs may be

met at all times. Latent heat thermal energy storage

(LHTES) using phase change material (PCM) has

gained significant research attention due to its high

storage density with small temperature change

during melting/solidification processes. It offers

storage densities that are typically 5 to 10 times

higher and half the volume of sensible heat thermal

energy storage. However, the low thermal

conductivity of PCMs has hindered the

commercialization and widespread application. The

effect of this poor conductivity is reflected during

energy retrieval with an appreciable temperature

differential during the process. As a result, the

slowness of the process has hindered large scale

utilization of the technology.

In this project, we are looking for the solutions of

low thermal conductivity of PCMs to improve the

heat transfer rate in the storage system. Two main

areas have been focused on including the

configuration of the latent heat storage unit to

improve heat transfer inside the unit, and the heat

transfer mechanism in the PCM, as this aims to

improve understanding of the thermal behavior

inside a PCM unit.

In the first stage, a mathematical model has been

developed to study the heat transfer mechanism in

PCMs which is later used to compare the

performance of different heat exchangers. Then, the

experimental setup was designed to study the heat

transfer inside the PCMs. Furthermore, different

heat enhancement techniques were investigated

experimentally to increase the heat transfer rate

between the heat transfer fluid (HTF) and the PCM.

RESEARCH PROJECTS


Slam Induced Bending of High-

Speed Wave-Piercing Catamarans

Jason McVicar (PhD Candidate)


Em. Prof Michael Davis, Prof. Giles Thomas

Industry partner: INCAT Tasmania

Slamming occurs when the surface of a ship’s

hull encounters the water surface at an acute

angle with significant relative velocity. The

impact causes high fluid pressures to act on the

hull over a relatively short period of time causing

local stresses in the hull plating and framing as

well as global bending loads in the hull girder.

For wave-piercing catamarans, the impacts can be

so large that they result in the greatest

longitudinal bending requirement for the design

of the vessel. It is therefore necessary to be able

to predict the slamming loads acting on a vessel

with sufficient accuracy and certainty to

minimise vessel weight, this leading to a

reduction in fuel usage whilst also maximising

pay load thus increasing transport efficiency.

Due to the complex bow geometry in wave-

piercing catamarans it is not appropriate (or in

some instances possible) to apply the same

simplified slamming models developed for

conventional craft. Before developing simplified

slamming models appropriate for wave-piercing

catamarans, the slam loads acting on these vessels

must be well understood. The relationship

between slam loading and the induced bending

loads in the hull girder are investigated through

simulation with validation against existing

experimental data. Model scale system

identification experimentation is also conducted

to develop a representative mathematical model

of the structural system suitable for use in

simulation.

It is demonstrated that the impact duration and

structural response characteristics differ

substantially from other vessels. A solver for the

fluid domain is coupled to a solver for the

structural domain to allow two-way and one-way

coupled simulations to be conducted. In the two-

way coupled simulation, the effect of the

surrounding fluid on the structure is inherently

accounted for while in the one-way simulation a

method is developed to approximate the inertial

effect of the surrounding fluid on the hull. It is

shown that when the effect of the surrounding

fluid is properly accounted for, a one-way

coupled simulation of a wave-piercing catamaran

under slamming conditions can resolve the same

features as a two-way coupled simulation with

significantly reduced computational effort.

RESEARCH PROJECTS


Influence of Ride Control

Algorithms on the Motions

Response of High-Speed

Wave-Piercing Catamarans

Javad AlaviMehr (PhD Candidate)


Prof Michael Davis, Dr Damien Holloway,

Prof Giles Thomas, Dr Walid Amin

Industry partner: INCAT Tasmania

High-speed catamarans often encounter large

heave and pitch motions and high motion

accelerations due to their hull shape and operating

speed. Increases in vessel speed have generally

led to an increase in vessel motions, this leading

to poor passenger comfort and potential structural

damage while operating in severe sea conditions.

A motion control system is therefore required to

reduce these large motions and improve the

vessel performance.

The experimental investigation of the effect of

Ride Control Systems (RCS) on the motions and

loads of an Incat 112m high-speed wave-piercing

catamaran is by towing tank testing of a 2.5m

hydro-elastic segmented model fitted with a

model RCS.

The overall objective is to evaluate the effect of

the ride control system on motions and loads at

more controlled conditions than is possible at full

scale. The motions and loads data at model scale,

in conjunction with full scale sea trials data and

numerical computations will ultimately assist in

the optimisation of motion control system

algorithms, leading to improved ship motions,

passenger comfort and reduced structural loads.

A reduction in structural loads is a significant

outcome of this research as it will lead to

improved design by way of reducing the overall

weight of the vessel, this contributing towards

improved fuel efficiency and in particular

reduced carbon emissions.

A series of model tests in head seas at a range of

wave frequencies from 0.35 Hz to 1.1 Hz were

conducted for different control algorithms and

different wave heights at the Australian Maritime

College towing tank in order to measure the

heave and pitch motions as well as motion

induced loads and bending moments. Firstly, the

model was tested without T-Foil while the stern

tabs were acting as a passive control surface.

Then T-Foil was installed into the model and

model testing was carried out with passive RCS.

After that the model was tested at three active

RCS algorithms consisting of heave damping

mode, pitch damping mode and local damping

mode.

RESEARCH PROJECTS


Distribution Network

Observability

Bernd Brinkmann (PhD Candidate)


Dr Bernardo A. León de la Barra, Dr Thanh

Duy Nguyen (TasNetworks)

Industry partners: TasNetworks and Energy

Networks Association

In distribution networks, power flows are

traditionally unidirectional from a substation to

the consumer. Due to an increasing amount of

distributed generation, such as wind and solar, the

power flows in distribution networks can become

bidirectional. This causes security and voltage

concerns. However, before the distribution

network operator can perform security

assessments and take required control actions, a

sufficiently accurate estimate of the network state

must be obtained. The network state can be

estimated from the available set of measurements

by the state estimation process. The state of a

power network is uniquely identified by the

voltage magnitude and angle at every bus in the

network. In order to perform the state estimation,

the network has to be observable. Traditionally, a

network is classified as either observable (if the

state estimation can be performed) or

unobservable (if the state estimation becomes

impossible due to a lack of necessary

measurements). Two main methods for

calculating the observability can be identified,

namely the numerical and topological. Both

methods determine the observability depending

on the number of measurements, their type and

placement in the network. These observability

analysis methods work well in transmission

networks, where sufficient metering devices are

normally available to make the network

observable. For economic reasons, distribution

networks usually have a very limited number of

metering devices installed that provide real time

measurements. Therefore, they are often

classified as unobservable. To make a

distribution network observable, pseudo

measurements are usually used instead of real

measurements. Pseudo measurements are load

forecasts (active and reactive power) based on

historical data. Unfortunately, predicting loads

from historical data does not always provide

accurate results. Hence, if a network is made

observable using pseudo measurements, the

estimated state might be significantly different

from the actual network state while the network

is still classified as observable. Therefore, this

research aims to develop new methods for the

observability assessment, optimal meter

placement and state estimation in distribution

networks, which are robust against the usually

large measurement uncertainties in distribution

networks and are able to deliver practical results

for the network planning and operation.

RESEARCH PROJECTS


King Island Low Load Diesel

Pilot Program

James Hamilton (PhD Candidate)

Project team: Prof Michael Negnevitsky,

Dr Xiaolin Wang

Industry partners: US Office of Naval

Research Global, Rural Industries

Development Corporation, Australian

Strategic Technology Program and Hydro

Tasmania

Remote off-grid communities face high power

costs given the cost to transport diesel fuel to such

remote locations. At the same time these

communities are motivated to use less diesel fuel

given the pollution associated with diesel fuel use.

Various technologies, such as demand

management, flywheel, capacitor banks, smart

meters and energy management systems, are now

available to achieve reduced diesel use.

Unfortunately these technologies are often

expensive, and inaccessible to the communities

who would benefit most from their integration.

Low Load Diesel (LLD) application enables high

renewable penetration without these additional

technology costs, achieving many of the same

outcomes as the higher cost alternatives. At the

same time LLD will reduce emissions and

significantly improve efficiency of the system by

maximising renewable energy penetration within

a hybrid diesel power system (minimising

renewable spillage). In doing so LLD steps

remote consumers away from diesel fuel use in a

step by step approach, transitioning communities

for adoption of new renewable and storage

technologies, should they become affordable.

LLD application changes the way diesel is used

within a remote power system. Currently diesel is

used for the majority of power supply, with only

a small component of renewable generation

utilised. Under LLD application, diesel is used as

an energy reserve to back up renewable

generation and to cover periods when renewable

generation is unavailable. The effective transition

of communities from diesel to emerging energy

storage technologies relies on a systems ability to

maximise their renewable content today. LLD

will significantly reduce the cost of high

penetrations of renewable energy into remote and

off-grid power systems. Removing the barriers to

LLD operation promises to deliver the lowest cost

pathway to reduce remote community reliance on

diesel generation.

Australian companies were responsible for

establishing many of the successful prior low load

diesel pilot initiatives. Unfortunately this

pioneering experience remains unpublished, held

within private companies, where it has not been

commercialised. Such prior work explored low

temperature combustion, defining the cylinder

environment to improve low load performance. A

range of recent engine improvements indirectly

support this goal, with review of prior low load

diesel innovation now warranted to extend low

load diesel towards no load diesel application.

This research is relevant to both modern and

legacy diesel infrastructure, providing insight to

remote communities, government facilities,

tourism operations and remote industry currently

unable to assess such technologies.

This project is funded by US Office of Navy

Research, ARC and Hydro Tasmania to develop

a pilot plant for King Island, investigating LLD

integration in a real renewable energy power

system.

RESEARCH PROJECTS


Freshwater Biofouling of

Hydraulic Conduits: Impact,

Mitigation, Control and the

Consequences of Climate

Change

Project team: Dr JM Walker; Dr JE Sargison;

AssocProf PA Brandner; Dr AD Henderson;

Professor GM Hallegraeff; Dr JE Osborn;

Professor GJ Walker

Arc Linkage Project

Industry Partner: Hydro Tasmania

Biofouling, the growth of nuisance bacteria or

algae, is a significant problem in canals and

pipelines and causes efficiency losses of up to 10%

in hydroelectric power systems. This project

developed strategies to maximise renewable

electricity production through biofouling

mitigation. The project has extended the

understanding of frictional wall flows from

typical engineering roughness to more complex

interacting organic surfaces, a critical

contribution to scientific knowledge. The

potential impacts of climate change on the

development of biofouling and its impact on

operation were also investigated. Other project

outcomes were improved design methods for

conduits and industry tools to identify strategic

areas for treatment.

The target diatom fouling species Gomphonema

tarraleahae was compared with other stalk

forming diatoms to elucidate the environmental

factors promoting their stalk formation and to

determine the best strategies to mitigate their

impact. The structure of the boundary-layer for

flows over biofilms was investigated by growing

biofilms on test plates under flow conditions in

the Tarraleah No.1 hydropower canal in

Tasmania. Velocity-profile measurements

obtained using laser Doppler velocimetry in a

recirculating water tunnel showed significant

increases in drag of up to 160 % for biofouled

surfaces. The structure of the boundary layer

adhered to Townsend’s wall-similarity

hypothesis even though the scale separation

between the effective roughness height and the

boundary-layer thickness was small. An increase

in friction was observed with Reynolds number

until a critical flow speed was reached where the

biofouling sheared away from the surface causing

a sharp decrease in friction. This work was

published in the Australian Journal of Mechanical

Engineering. The physical roughness of the

biofilms was characterised using a novel

application of photogrammetry. The effective

roughness of the biofilms was found to be greater

than the physical roughness, comprising the

physical roughness plus its compliant vibrations

under flow conditions. A scoping review of

alternative non-contact methods of mapping

biofouled surfaces, specifically structured light

and laser scanning techniques, was completed.

Laboratory trials were conducted on the marine

stalking diatom Licmophora flabellata, to define

environmental factors influencing its growth.

Low light intensities produced no or poor growth,

while growth rates of 0.24-0.42 div/day were

achieved at high light intensities. High growth

rates coincided with long stationary growth

periods and long branching stalks. Data shows

that the biofouling was suppressed by high light

and inhibited by Si.

RESEARCH PROJECTS


Rapid Starting and Unsteady

Operation of Hydraulic Turbines

Project team: Dr AD Henderson;

Dr JE Sargison; Dr JM Walker; and

Professor GJ Walker

Arc Linkage Project

Industry Partner: Hydro Tasmania

Electric power utilities require rapid backup

generation capability to maintain a reliable and

secure power supply within stringent frequency

limits. The use of hydroelectric turbines allows

this to be provided from renewable sources and

minimises dam or pumped storage water wastage.

This project investigates the rapid start of Francis

turbines transitioning from spinning in air to

normal power generation mode. The transition

involves a complex two-phase flow as water

enters the turbine and expels the air. The

innovative combination of a physical model, flow

visualisation and computational fluid dynamics

were engaged to provide critical insights into the

flow physics to identify the optimum conditions

for rapidly starting generation.

The project included the development of a $150k

turbine facility located in the School of

Engineering and ICT’s Hydraulics laboratory.

This purpose built facility allows the dynamic

response of turbines to be measured under a range

of conditions, including rapid starting. The test

rig features a transparent draft tube and suction

cone for visualisation the vertical flow

downstream from the turbine.

Numerical models based on the physical

observations were able to predict performance of

the turbine and were validated against

experimental data from the model turbine and

also from full size turbine tests

The findings from the study have confirmed the

viability of this method for rapidly increasing

turbine output and have provided a detailed

explanation of the physical mechanisms

occurring during a rapid transition process.

RESEARCH PROJECTS


Post Solar Installation

Consumption Increases:

Literature Review

Project team: Dr Sarah Lyden, Prof Michael

Negnevitsky

Industry partner: Goanna Energy

This project was undertaken in response to High

Tariff 31 Consumption Post Solar complaints

received by the Tasmanian Energy Ombudsman.

Despite the admission from TasNetworks in a

media release on 16 March 2015, identifying a

programming error affecting 10,000 of

Tasmania’s 22,500 solar meters, Tariff 31

consumption is stated to be accurately recorded.

Goanna Energy requested that the University of

Tasmania prepare an international literature

review to explore this problem and highlight

issues that have been identified as potentially

contributing to high electricity consumption post

solar installation in Australia and other countries

around the world.

A comprehensive literature survey was

completed utilizing academic journals and

databases (specifically IEEExplore, Google

Scholar), and web based searches. The literature

included in the report ranges from PhD theses and

academic journals, to cases studies from other

Energy Ombudsman offices in Australia.

Early in the literature survey it was established

that a prior link has been identified between other

technological improvements and how this has

often led to increased energy consumption. The

human perception that once energy efficient

devices are utilized in the home that they can

therefore use more power, often results in an

increased consumption when energy reducing

measures are perceived to be in place.

The project concluded that there appear to be two

main categories of issues which lead to similar

high electricity consumption post solar

installation. These are user behaviour changes

and technical issues. In the literature review,

behavioural changes were described followed by

an overview of some technical issues identified

which have resulted in consumers not obtaining

the expected reduction in grid electricity

consumption anticipated upon installation of

solar systems.

The literature review suggested that changes in

human behaviour when solar systems are

installed could be a leading contributor to the

increased Tariff 31 consumption Post Solar.

Technical issues, while outlined in the literature,

were far less common in their effect on the

consumption post solar. The literature review

findings were supplied to the Tasmanian Energy

Ombudsman.

EDUCATION, TRAINING AND OUTREACH


CREPS is the only renewable energy centre in

Tasmania and is heavily involved in increasing

awareness of sustainable economic development

in the general population through professional

courses and workshops, research evenings,

university open days, visiting scholars and

outreach activities.

Professional Development Courses

A three day course in Power Systems Engineering

was offered in June 2015 and was attended by 10

engineers from local industry including

TasNetworks, Hydro Tasmania and Nyrstar. This

course was run by Graeme Vertigan and allowed

recent graduates the opportunity to extend their

appreciation of power engineering at both a

theoretical and practical level. Key topics

covered in the course included a review of key

concepts, symmetrical components, transformers,

fault calculations, earthing, energy metering and

harmonics.

Research evening

The Engineering Research evening was held on

Friday 30 October at the University Club and

provided an opportunity for research students and

honours project prize winners to present their

work in poster format to the School of

Engineering and ICT and invited industry

representatives. The event was well attended by

approximately 100 people with many industry

representatives in attendance. The event

provided an opportunity to showcase the research

in Engineering and allowed networking between

university researchers and industry. The FSAE

car was also showcased on the night.

Open Day

The Centre’s involvement in Open Day included

an electric vehicle based display and competition

run in the Engineering Foyer in addition to the

CREPS Renewable Energy Lab, Power Lab, and

Mechanical labs being open for scheduled tours.

A Nissan Leaf electric vehicle owned by the

university in addition to borrowed electric

vehicles from Mitsubishi were on display along

with the energy performance interface for King

Island being displayed on a projector in the foyer

to stimulate discussion of renewable energy

resources. An electric bike conversion

competition was run, where people from the

community could enter the draw to have their

conventional bike converted to an electric bike

using electric bike conversion kits donated by the

university. Three people were successful and

their bikes underwent a conversion to electric

vehicles on the day. Postgraduate and

undergraduate students as well as technical staff

facilitated the Centre’s open day activities.

Visitors

The Centre for Renewable Energy and Power

Systems had four key visitors under a number of

different programs in 2015. On October 2, 2015

Dr George Gross delivered a talk to the IEEE

Victorian/Tasmanian section at the University of

Tasmania. Dr Gross’ talk, ‘A practical

framework for the Implementation of Vehicle-to-

Grid (V2G) Concept’ was well received and

attended by 54 people including 18 industry

representatives, 8 academics and 28 students.

Also in October 2015, Dr Orie Sakamoto from

Sophia University visited CREPS as part of the

Australia Japan Emerging Research Leaders

Exchange program. This program aims to

establish individual and institutional research

links between Australia and Japan.

Mr Maxime Courdavault from Université de

Technologie De Belfort-Montbéliard completed a

six month internship with the Centre from

September 2015 continuing to February 2016.

During this time Mr Courdavault worked on a

project considering frequency control for a no

storage hydro wind diesel isolated microgrid.

Dr Nikita Tomin, a Senior Research Fellow at the

Energy Systems Institute of the Russian

Academy of Science, also commenced a six

month visiting academic position with the Centre

in November 2015. During his visit, Dr Tomin

presented to the School on his work on preventing

large scale blackouts in power systems utilising

computational intelligence approaches.

EDUCATION, TRAINING AND OUTREACH


King Island Energy Workshop

The Centre together with Hydro Tasmania

organised and sponsored the Isolated Power

System International Technology Forum

(CONNECT 2015) – a workshop for system

operators and owners. It was hosted at King

Island from 18-19 November, 2015.

We assembled an excellent team of international,

national and local speakers who addressed a wide

spectrum of issues covering integration of

intermittent renewable energy in isolated power

systems, increasing PV penetration, microgrid

technologies and customer expectations. The

workshop presenters and attendees discussed

their experiences and shared latest developments

in the field of remote area power supply. The

workshop involved case studies of isolated power

systems including studies presented by the

Hawaii National Energy Institute, Alaskan

Energy Authority, Pacific Power Association in

addition to Australian utility case studies

including the King Island power system.

Community engagement and outreach

In 2015, Dr Sarah Lyden was appointed in the

position of API Lecturer for a woman specialising

in Power Systems and Renewable Energy. This

position was jointly established by the Australian

Power Institute (API) and University of Tasmania

to undertake research within the scope of the

Centre, deliver and develop courses, supervise

undergraduate projects, be involved with industry

projects and participate in community

engagement activities. Approval to advertise the

position for a female only was obtained in

accordance with anti-discrimination

requirements. Throughout 2015, Dr Lyden was

an active senior member of the STEM education

and outreach team and conducted and

coordinated workshops at many schools around

the state and in Science week activities. Key

activities included the Clarence Plains Science

project which involved engaging with low

socioeconomic schools over a five week

intervention to encourage their interest in science

and engineering. This program culminated in a

wind turbine design activity utilising low cost

materials. Dr Lyden also travelled to the North

and North-west of the state with the STEM team

to facilitate renewable energy workshops at 10

schools.

FUNDING


Research

Team

Initial

Year

Duration

(Years)

Funding

Body

Title of Project 2015

cash, $

Total

cash, $ Negnevitsky M;

Wang X;

Hamilton JM

2015 3 Office of

Naval

Research

Global; Hydro

Tasmania

Low Load Diesel Technology

Demonstration

338,200 686,599

Lyden SL;

Negnevitsky M

2015 1 Goanna

Energy

Consulting

Investigation of Solar penetration in

Tasmania

3,500 3,500

Negnevitsky M;

Wang X

2014 2 Hydro

Tasmania

Investigation of lower load diesel

operation and maintenance in remote

area power systems

15,000 30,000

Negnevitsky M;

Nguyen T;

McPhail D

2014 1 Energy

Networks

Association

Development of a novel entropy-

based approach to transmission

network observability

50,000 50,000

Negnevitsky M 2014 3 Rural

Industries

Research and

Development

Corporation

Increasing renewable energy

penetration through embedded

renewable micro grids

7,500 22,500

Negnevitsky M 2008 10 Aurora

Energy;

Australian

Power Institute

Centre for Renewable Energy &

Power Systems

55,000 525,000

Blackburn DP;

Mirowski LT;

Nolan G;

Turner P; Lee;

Henderson AD

2015 2 University of

Tasmania

Sense-T Stage 2: Forest and Wood

Products – 408,079

Cahoon SC;

Gillespie WJ;

Boucher C;

Henderson AD

2015 2 Department of

Industry and

Science;

Houstons Farm

Research Connections - Houstons

Farm Cold Chain Analysis – 52,404

Dewsbury M;

Law TO;

Henderson AD;

Livingston A;

Webster D

2014 1 Department of

Justice

Tasmania

Investigation of Destructive

Condensation in Australian Cool-

temperate Buildings

– 56,000

Henderson

AD; Sargison

JE; Walker

JM; Walker

GJ

2011 5 ARC; Hydro

Tasmania

Rapid Starting and Unsteady

Operation of Hydraulic Turbines

– 223,000

Walker JM;

Sargison JE;

Brandner PA;

Henderson AD;

Hallegraeff

GM; Osborn

JE; Walker GJ

2010 6 ARC; Hydro

Tasmania

Freshwater Biofouling of Hydraulic

Conduits: Impact, Mitigation, and

Control, and the Consequences of

Climate Change

– 309,154

Lavroff J 2015 1 Incat Tasmania Incat Catamaran Motions and Loads

Research

30,000 30,000

Penesis I;

Kilpatrick SI;

Allison J; Harte

D; Symes MF;

Leon de la

Barra BA; et al

2015 1 Office for

Learning and

Teaching

Reskilling the manufacturing

workforce and developing capabilities

for the future

50,000 50,000

PUBLICATIONS


Refereed Journal Publications

1. AlaviMehr, J., Davis, M.R. and Lavroff, J., (2015) Low reynolds number performance of a model

scale t-foil, International Journal of Maritime Engineering, 157, pp. A175-A187.

2. Arnold, T., Lavroff, J., and Davis, M.R., (2015) Pressure distribution due to stern tab deflection at

model scale, Royal Institution of Naval Architects. Transactions. Part A. International Journal of

Maritime Engineering, 157, pp. 31-40.

3. Chen, H., Lee W.L. and Wang, X., (2015) Energy assessment of office buildings in China using China

building codes and LEED 2.2, Energy and Buildings, 86, 515-524.

4. Haque, A.U., Mandal, P., Meng, J. and Negnevitsky, M., (2015) Wind Speed Forecast Model for Wind

Farm Based on a Hybrid Machine Learning Algorithm, International Journal of Sustainable Energy,

34 (1), pp. 38-51.

5. Fracalossi, D.A., Haque M.E. and Davies, M., (2015) Simple method of fast discharge of capacitor

banks using delta connected transformers: modelling and experimental testing, Generation,

Transmission & Distribution, IET 9.14 : 1946-1953.

6. Giosio, D.R., Henderson, A.D., Walker, J.M., Brandner, P.A., Sargison, J.E. and Gautam, P., (2015)

Design and performance evaluation of a pump-as-turbine micro-hydro test facility with incorporated

inlet flow control, Renewable Energy, 78 pp. 1-6.

7. He, Y., Cao, F., Jin, L., Wang, X. and Xing Z., (2015) Experimental study on the performance of a

vapor injection high temperature heat pump, International Journal of Refrigeration, 60, 1 – 8.

8. He, Y., Wang, X., Cao, F. and Xing, Z., (2015) Development and field test of a high temperature heat

pump for crude oil heating, Proceedings of IMech E, Journal of Process Engineering, (in press).

9. He, Z., Wang, X. and Chua, H.T., (2015) Performance study of a four-bed silica gel-water adsorption

chiller with the passive heat recovery scheme, Mathematical Problem in Engineering, Article

ID 634347 (in press).

10. Heyman, A., Reznik, L., Negnevitsky, M. and Hoffman, A., (2015) Fuzzy System Design for Security

and Environment Control Applications, International Journal of Uncertainty, Fuzziness and

Knowledge-Based Systems, 23 (Suppl. 1), pp. 43˗56.

11. Hu, B., Cao, F., Yang, X., Wang, X., and Xing, Z., (2015) Theoretical and experimental study on

conveying behavior of a twin-screw multiphase pump, Proceedings of the Institution of Mechanical

Engineers Part E: Journal of Process Mechanical Engineering, pp. 1-13. (in press).

12. Jelinek, H.F., Abawajy, J.H., Cornforth, D.J., Kowalczyk, A., Negnevitsky, M., Chowdhury, M.U.,

Krones, R. and Kelarev, A.V., (2015) Multi-layer Attribute Selection and Classification Algorithm

for the Diagnosis of Cardiac Autonomic Neuropathy Based on HRV Attributes, AIMS Medical

Science, 2 (4), pp. 396 – 409.

13. Lavroff, J., and Davis, M.R., (2015) Slamming kinematics, impulse and energy transfer for wave-

piercing catamarans, Journal of Ship Research, 59 (3) pp. 145-161.

PUBLICATIONS


14. Liu, B., Ma, X., Wang, X., Dang, C., Wang, Q. and Bennacer, R., (2015) Experimental study of the

chimney effect in a solar hybrid double wall, Solar Energy, 115 pg. 1 – 9.

15. Lyden, S. and Haque, M.E., (2015) Maximum Power Point Tracking techniques for photovoltaic

systems: A comprehensive review and comparative analysis, Renewable and Sustainable Energy

Reviews 52: 1504-1518

16. Lyden, S. and Haque, M.E., (2015) A Simulated Annealing Global Maximum Power Point Tracking

Approach for PV Modules under Partial Shading Conditions, IEEE Transactions on Power Electronics

(in press)

17. McVicar, J.J., Lavroff, J., Davis, M.R. and Thomas, G., (2015) Effect of slam force duration on the

vibratory response of a lightweight high-speed wave-piercing catamaran, Journal of Ship Research,

59 (2) pp. 69-84.

18. Millar, B., Jiang, D. and Haque, M.E., (2015) Constrained coordinated distributed control of smart

grid with asynchronous information exchange, Journal of Modern Power Systems and Clean

Energy, 3 (4) pp. 512-525.

19. Muoka, P.I., Haque, M.E., Gargoom, A. and Negnevitsky, M., (2015) DSP-based hands-on laboratory

experiments for photovoltaic power systems, IEEE Transactions on Education, 58 (1), pp. 39 – 47.

20. Muttaqi, K. M., Le, A.D.T., Negnevitsky, M. and Ledwich, G., (2015) A Coordinated Voltage Control

Approach for Coordination of OLTC, Voltage Regulator and DG to Regulate Voltage in a Distribution

Feeder, IEEE Transactions on Industry Applications, 51 (2), pp. 1239 – 1248.

21. Muttaqi, K. M., Le, A.D.T., Negnevitsky, M. and Ledwich, G., (2015) A Novel Tuning Method for

Advanced Line Drop Compensator and its Application to Response Coordination of Distributed

Generation with Voltage Regulating Devices, IEEE Transactions on Industry Applications (in press)

22. Negnevitsky, M. and Wong, K., (2015) Demand-side Management Evaluation Tool, IEEE

Transactions on Power Systems, 30 (1), pp. 212-222.

23. Negnevitsky, M. and Wong, K., (2015) Demand response visualization tool for electric power systems,

Visualization in Engineering, 3 (1). http://www.viejournal.com/content/3/1/7

24. Negnevitsky, M., Nguyen, D. H. and Piekutowski, M., (2015) Risk Assessment for Power System

Operation Planning with High Wind Power Penetration, IEEE Transactions on Power Systems, 30 (3),

pp. 1359 – 1368.

25. Seddegh, S., Wang, X. and Henderson, A.D., (2015) A comparative study of thermal behaviour of a

horizontal and vertical shell-and-tube energy storage using phase change materials, Applied Thermal

Engineering, (in press).

26. Seddegh, S., Wang, X. and Henderson, A.D., (2015) Numerical investigation of heat transfer

mechanism in a vertical shell and tube latent heat energy storage system, Applied Thermal

Engineering, 87, 698-706

http://www.viejournal.com/content/3/1/7

PUBLICATIONS


27. Seddegh, S., Wang, X., Henderson, A.D. and Xing, Z., (2015) Solar domestic hot water systems using

latent heat energy storage medium: A review, Renewable and Sustainable Energy Reviews, 49 pp.

517 – 533.

28. Shen, J., Xing, Z., Zhang, K., He, Z. and Wang, X., (2015) Development of a water-injected twin-

screw compressor for mechanical vapor compression desalination systems, Applied Thermal


29. Tavakoli A., Negnevitsky, M. and Muttaqi, K. M., (2015) Energy Exchange Between Electric Vehicle

Load and Wind Generating Utilities, IEEE Transactions on Power Systems (in press).

30. Wang, X., He, Z. and Chua, H.T., (2015) Performance simulation of multi-bed silica gel-water

adsorption chillers, International Journal of Refrigeration, 52 pp.32 – 41.

31. Wu, H., Tang, H., Wang, X. and Xing, Z., (2015) Performance study of a twin-screw expander used

in the geothermal organic rankine cycle power generator, Energy, 90 (1), 631-642

32. Wu, X., Xing, Z., He, Z., Wang, X. and Chen, W., (2015)"Performance evaluation of a capacity-

regulated high temperature heat pump for waste heat recovery in dyeing industry", Applied Thermal


33. Yin, X., Cao, F., Jin, L., Hu, B., Shu, P., Wang, X., (2015) "Numerical and experimental investigations

of electronic evaporative cooling performance with a coiled channel", Applied Thermal Engineering,

(in press).

34. Zhang, W., Wang, T., Peng, X., Zheng, S. and Wang, X., (2015) Experimental study of the gas engine

driven heat pump with engine heat recovery, Mathematical Problem in Engineering, Article

ID 417432, ).

Refereed Conference Publications

1. Brinkmann, B., Negnevitsky, M. and Nguyen, T., “An Observability Index for Distribution Networks

using Information Entropy”, Proceedings of the 25th Australasian Universities Power Engineering

Conference, Wollongong, NSW, Australia, September 27 – 30, 2015.

2. Choo, X., Mansour, J., Negnevitsky, M. and Halley, A., “Modeling of Embedded PV Generation in

Distribution Networks”, Proceedings of the 25th Australasian Universities Power Engineering

Conference, Wollongong, NSW, Australia, September 27 – 30, 2015.

3. Hamilton, J., Negnevitsky, M. and Wang, X., “Low Load Diesel Perceptions and Practices within

Remote Area Power Systems”, Proceedings of the 2015 International Symposium on Smart Electric

Distribution Systems and Technologies, Vienna, Austria, September 8 - 11, 2015.

4. Lyden, S., and Haque, M.E., “A hybrid simulated annealing and perturb and observe method for

maximum power point tracking in PV systems under partial shading conditions.” Proceedings of the

25th Australasian Universities Power Engineering Conference, Wollongong, NSW, Australia,

September 27 – 30, 2015.

PUBLICATIONS


5. McVicar, J.J., Lavroff, J., Davis, M.R. and Thomas, G.A., “Slam excitation scales for a large wave

piercing catamaran and the effect on structural response”, Proceedings of the 13th International

Conference on Fast Sea Transportation, 1-4 September 2015, Washington DC, USA, pp. 1-10. (2015)

6. McVicar, J., Lavroff, J., Davis, M.R. and Davidson, G., “Transient slam load estimation by RANSE

simulation and by dynamic modeling of a hydroelastic segmented model”, Proceedings of the 30th

Symposium on Naval Hydrodynamics, 2-7 November 2014, Hobart, Tasmania, pp. 1-16. (2015)

7. Naderi, S.B. and Negnevitsky, M., “Soft and Fast Starting Induction Motors Using Controllable

Resistive Type Fault Current Limiter”, Proceedings of the IEEE/PES General Meeting, Denver CO,

USA, 26-30 July, 2015.

8. Naderi, S.B., Negnevitsky, M., Jalilian, A., Tarafdar Hagh, M. and Muttaqi, K. M., “Voltage Sag

Compensation of Point of Common Coupling for Low Voltage Ride-Through Enhancement of

Inverter Interfaced DG Using Bridge Type FCL”, Proceedings of the 25th Australasian Universities

Power Engineering Conference, Wollongong, NSW, Australia, September 27 – 30, 2015.

9. Naderi, S.B., Negnevitsky, M., Jalilian, A., Tarafdar Hagh, M. and Muttaqi, K. M., “Optimum

Resistive Type Fault Current Limiter: An Efficient Solution to Achieve Maximum Fault Ride-through

Capability of Fixed Speed Wind Turbines During Symmetrical and Asymmetrical Grid Faults”,

Proceedings of the IEEE Industry Applications Society Annual Meeting, Dallas, Texas, USA, October

18 – 22, 2015.

10. Nikolic D., Negnevitsky, M., and de Groot, M., “Effect of the Diesel Engine Delay on Stability of

Isolated Power Systems with High Levels of Renewable Energy Penetration”, Proceedings of the 2015

International Symposium on Smart Electric Distribution Systems and Technologies, Vienna, Austria,

September 8 - 11, 2015.

11. Negnevitsky, M., Nikolic D. and de Groot, M., “Demand Response for Increasing Renewable Energy

Penetration in Isolated Power Systems”, Proceedings of the Fifth International Conference on Smart

Grids, Green Communications and IT Energy-aware Technologies, ENERGY 2015, Rome, Italy, May

24 - 29, 2015.

12. Negnevitsky, M., Tomin, N., Kurbatsky, V., Panasetsky, D., Zhukov, A. and Rehtanz, C., “A Random

Forest-Based Approach for Voltage Security Monitoring in a Power System”, Proceedings of the

IEEE International Conference on Electric Power Engineering PowerTech 2015, Eindhoven, Norway,

June 29 – July 2, 2015

13. Patel, S., Negnevitsky, M. and Wong, K., “Evaluation Tool for Direct Load Control of Electric Vehicle

Charging and Water Heating Systems”, Proceedings of the 2015 International Symposium on Smart

Electric Distribution Systems and Technologies, Vienna, Austria, September 8 - 11, 2015.

14. Rafieshahraki, J., Davis, M.R., Shabani, B., AlaviMehr, J., Thomas, G.A., Lavroff, J. and Amin,

W.A.I., “Mitigation of slamming of large wave-piercing catamarans”, Proceedings of the 30th

Symposium on Naval Hydrodynamics, 2-7 November 2014, Hobart, Tasmania, pp. 1-13. (2015)

http://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=%22Authors%22:.QT.Negnevitsky,%20M..QT.&newsearch=true

http://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=%22Authors%22:.QT.Tomin,%20N..QT.&newsearch=true

http://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=%22Authors%22:.QT.Kurbatsky,%20V..QT.&newsearch=true

http://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=%22Authors%22:.QT.Panasetsky,%20D..QT.&newsearch=true

http://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=%22Authors%22:.QT.Zhukov,%20A..QT.&newsearch=true

http://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=%22Authors%22:.QT.Rehtanz,%20C..QT.&newsearch=true

PUBLICATIONS


15. Rafique, Z., Haque, M.E. and Mahmud M.A., “Impacts of voltage surge and resonance on a grid

connected variable speed wind turbine and their remedial measures.” Proceedings of the IEEE/PES

General Meeting, Denver CO, USA, 26-30 July, 2015.

16. Seddegh, S., Wang, X., Henderson, A. and Chen, D., “Effect of geometric parameter on energy storage

performance in a shell-and-tube latent heat energy storage system”, 7th international conference on

compressors and refrigeration, Xi’an 16 – 18 October, 2015.

17. Smith, Z., Negnevitsky, M., Wang, X. and Michael, K., “Glaciothermal Power Generation in Cold

Climate Regions”, Proceedings of the IEEE/PES General Meeting, Denver CO, USA, 26-30 July,

2015.

18. Tarafdar Hagh, M., Jalilian, A., Naderi, S.B., Negnevitsky, M. and Muttaqi, K. M., “Improving Fault

Ride-Through of Three Phase Voltage Source Inverter During Symmetrical Fault Using DC Link Fault

Current Limiter”, Proceedings of the 25th Australasian Universities Power Engineering Conference,

Wollongong, NSW, Australia, September 27 – 30, 2015.

19. Tavakoli, A., Negnevitsky, M., and Muttaqi, K.M., “A Coordinated Approach to Energy Exchange

between Electric Vehicle Load Aggregators and Wind Generation Companies under Uncertainty”,

Proceedings of the IEEE/PES General Meeting, Denver CO, USA, 26-30 July, 2015.

20. Tavakoli, A., Negnevitsky, M. and Muttaqi, K. M., “Pool Strategy of a Producer Coordinated with

Vehicle-to-Grid Services to Maximize Profitability”, Proceedings of the 25th Australasian

Universities Power Engineering Conference, Wollongong, NSW, Australia, September 27 – 30, 2015.

21. Tavakoli, A., Negnevitsky, M. and Muttaqi, K. M., “A Decentralized Model Predictive Control for

Multiple Distributed Generators in the Islanded Mode of Operation”, Proceedings of the IEEE

Industry Applications Society Annual Meeting, Dallas, Texas, USA, October 18 – 22, 2015.

22. Wu, X., Tang, H., Chen, W., Wang, X. and Xing, Z., “Development of a high temperature heat pump

for heat recovery in dyeing industry”, 24th IIR International Congress of Refrigeration, (ICR2015),

August 16 – 22, 2015, Yokohama, Japan.

23. Zhang, Y., Haque, M.E. and Mahmud M.A., “Control and charge management of a grid-connected

photovoltaic system with plug-in hybrid vehicle as energy storage.” Proceedings of the IEEE/PES

General Meeting, Denver CO, USA, 26-30 July, 2015.

annual report 2015 - university of tasmania · dr bernardo a. león de la barra industry partner:...

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