Hossam A.Gabbar (Gaber), PhD, P.Eng, Fellow RAMSP, ESCL, UOIT

IEEE, SMC, TC:IGPS, Smart Energy Grids, Green Infrastructures

5-15 Jan 2016, Series of Workshops (Sponsored by Chinese Government, IEEE-SMC-TC: IGPS)

Hong Kong, Shenzhen, Guangzhou, Fuzhou, Xiangmen, Yangzhou, Nanjing, Shanghai

China Trip Schedule

• Jan 6, HK

• AM: HK Food and Health Bureau;

• PM: HONG KONG CHIU CHOW ASSOCIATION

• Jan 7 Shenzhen: Company Gala

• Jan 8

• AM: Shenzhen CHIU CHOW ASSOCIATION

• PM: Guangzhou Lougang High-tech District

• Jan 9

• AM: Guangzhou Zengcheng High-tech District

• PM: Xiangmen High-tech District

China Trip Schedule• Jan 11

• AM: Fuzhou High-tech District

• PM: Fuzhou business matching

• Jan 13

• AM: discussion with Yangzhou High-tech government

• PM: Yangzhou business matching and visited educational college

• Jan 14

• AM: travel to Nanjing and sightseeing

• PM: Nanjing Xianwu High-tech District

• Jan 15

• AM: Nanjing software High-tech District

• PM: Meeting 3D company

• Jan 16: official event, Nanjing Government-Industrial Meeting

Accomplishment Summary

• Introduce Smart Green Building Technologies and Systems

• Introduce Industrial Projects on Transportation Infrastructures Planning

• Introduce Industrial Projects on Energy Safety and Control Technologies

• Introduce Industrial Projects on High Current Plasma Generation

• Discuss Integration with Software Infrastructures

• Discuss Potential Education and Training Programs in China

• Establish Basis for Future Collaboration with China

• Recognize Opportunities for Industrial Projects in China

• Introduce and Promote IEEE SMC, IGPS in China

• Plan Exchange visits (first one was from Nanjing Software Valley to Toronto on 21-Jan-2016)

5

Intelligent Green Industrial and Commercial Facilities - Smart Green Building

Dr. Hossam A.Gabbar, IEEE-SMC, IGPS TC ChairProfessor, Director of Energy Safety and Control Lab, University of

Ontario Institute of Technology, Canada

5-15 Jan 2016, Series of Workshops (Sponsored by Chinese Government, IEEE-SMC-TC:IGPS)Hong Kong, Shenzhen, Guangzhou, Fuzhou, Xiangmen, Yangzhou, Nanjing, Shanghai

Previous Visits to China, Nanjing, Tsinghua, Beijing, Qingdao, Taiyuan, and China University of Petroleum

Collaboration Projects with ChinaLeader: Dr. Hossam Gaber (A.Gabbar)

R&D Team:

S CELEnergy Safety and

Control Lab

Canada, China, Japan, India, Egypt, Iran, Kazakhstan, Brazil, Algeria, Malaysia, KSA, Qatar, UAE, Mexico, Colombia, Bangladesh

Dr. Lingzhi Xia, PostdocDr. C.A. Barry Stoute, PostdocDr. Ahmed Othman, PostdocDr. Aboelsood Zidan, PostdocMr. Emmanuel Boafo, PhD StudentMs. Elnara Nasimi, PhD StudentMr. Yahya Koraz, PhD StudentMr. Mohamed Hendawi, PhD Student

Ms. Luping Zhang, MASc StudentMr. Daniel Bondarenko, MASc StudentMr. Jason Runge, MASc StudentMr. Manir Isham, Researcher StudentMr. Mohammed Aboughaly, MASc StudentMr. Harsh Deol, MASc StudentMr. Anas Abdel Rihem, Research StudentMr. Awais Choudhary, Research Student

Building Energy Management System

Hossam A.Gabbar 8

Hossam A.Gabbar 9

LC C O 2

0

50000

100000

150000

200000

250000

300000

CO2-

kg

Air Conditioning

Ventilation

Illum ination

Elevator

Hot W ater Supply

Room Equipm ent

Pum p

Hot W ater Service

Kitchen

ElectricityG enerationW ater Supply

Drainage

W asteM anagem ent

Fuel Change

Product Change

Demand Change

Material Change

EnterpriseEnergy

Management

Process & Facility Diagram

Proposed User Interface

Energy / Exergy Balance Equations

CAPE-ModE

Enterprise Energy Management Within SG / MG (ESN)

Energy Semantic Network

Energy LCC Analysis

Analysis of Energy Supply Scenarios

ISO 14000EMS

Analysis of Energy Use

CAPE-Energy

Risk-Based & Reliability Analysis of Energy

System

Hossam A.Gabbar 10

Control and Protection of Micro Energy Grids

Integrated Modeling & Simulation for Smart Grid Systems Engineering

Data Management

Communication / Control

Grid Physical System

GIS Layer

Application Layer

Business Process Modeling

Power / Energy Modeling

Control / Protection Modeling

Grid Topology Modeling

Network & Comm. Modeling

Grid Asset Integrity Modeling

Integrated Gird

Modeling & Simulation

Utility Companies

IESO / OPA / Licensing

Energy Technology / Service Providers

Consumers

Geographical & Environmental Modeling

Gas Network

Thermal Network

Electricity Network

Ministry of Energy

Transportation Network

Water Network

Hossam A.Gabbar 12

Process

Plant

Site

Area

City

Top-down

Bottom-up

Sustainable Energy Production Chain within Smart Grid

EG- S V- RS-

S0

RS-

M

C6 C9

RS- UPR- RS-

S1

BT-

S0BT-

M

C17

C18

BT- UP

T0

C11

C15

PTA-

SC7

C0

C1

R-

PTA- SC2

EG

PTA

C3

C4

C5 C8

C19

BT- S1BV-

S0

BV-

M

C28

C32

BV- UP

C33

CAP-

S

C29

Label-

S

C24

C25

C26 C30

T1

C21

CAPC22

C20

R- BT-

S2

LabelC23

C27 C31

T2

BV-

S1 CN-

MC35

C36

CN- UP

C34 C37

C- BT-

S0

G- BV-

S1 IN-

MC45

IN- UP

C44

C46

T4

Waste

C-

BT- S1

R- BT-

S0CL-

M

C39 C40

CL- UP

C38 C42

T3

G- BT-

S0C41 C43

R- BT-

S1

R- PTA-

S0RC-

M

C48 C49

RC- UP

C47 C52

T5

R- RS-

S0C50 C53

T6Recycle Bottle

R- RS-

S0 C12C10

V- RS-

S1 C16

Mechanical Recycle

R- BT-

S0 C51

T8

Chemical Recycle

Recycle PTA

T7

C13

C14

Material Recycle

Recycle Resin

Energy

Information

Material

Manufacturing

Stock- In

Stock- Out

Transportation

Control

Energy Production

UseSource

p1

p2

p4

p3

u1

u2u3

u6

u5

u4u7

u9

u8

s4s5

s3

s1s2

CAPE-ModE is a proposed modeling and simulation environment with decision support for the synthesis and evaluation of future energy production/supply scenarios on the basis of lifecycle assessment, lifecycle costing, and risk management.

13

Transportation Infrastructure

Planning Support Tool

Real Time Safety Verification for Process Industry

14Click on pump to see vibration data

Click to change simulation speed

Click to see dynamic FSNClick to change safety SIL PFD RRF etc.

An example of flow inside the Flash Drum

Click to see expert rules in action

Title: Software platform of the nuclear reactor 3D information real-time safety visualization

Brief introduction:1. China currently has the largest nuclear power plant market all over the world with many nuclear power plant projects on

construction and on planning.2. 3D reactor core information interpretation is very important for not only the research institute to do R&D, analysis; but also

for the nuclear power plants to training, real-time online monitoring, diagnostics, and safety related analysis. 3D reactorcore information is such as 3D power, 3D temperature, 3D flow, 3D pressure, 3D stress, etc..

Currently, there is no any powerful 3D visualization platform to help the power plant operators or researchers and analysts in nuclear institutes or R&D companies. For the nuclear power plant, operators read measured records from some instruments installed in some positions within the core; for researchers in R&D companies, most analysis codes still use the old languageand do the simulations under DOS or UNIX command lines format. However, for both sides, they will involve 3D information illustrations. For example, power plant will do fueling, which needs analysis of 3D power distribution; for R&D companies, they will do a lot of safety analysis involving reactor internal information such as power, temperature, pressure. When 3D illustration is required, they usually extract the results (numbers) from analysis codes, and input them to the commercial software tools such as MATLAB, ORIGEN. Nevertheless, these generic software tools are not focused on 3D represents, which results in their limitation functions and feasibility on a typical 3D information analysis. Therefore, a special 3D visualization tool will be developed and dedicated to fill up these functions, such as aided analysis, interfaces, etc.

Plasma Generation and Applications

16

Self-Induced Lorentz Force of the 4 Plasma Beams

Force Density Distribution Inside the Beam

Analytical MHD Model for High Current Plasma Beam

Lab Experimentation for Plasma Applications

Simulation of Plasma Chamber using Elmer

TSD Experimental Setup

Plasma Generation Technology

• Plasma Generation• Miniature-Size Thermal Vacuum Chamber

• DC and RF Plasma Generation

• 20 W to 300 W Power Input

• Fusion and Aerospace Applications

• Advanced Hybrid Plasma Simulation• Elmer Modeling (Finite Element Method)

• MATLAB (Finite Volume Method)

• Monte Carlo Simulation, and MHD

Thanks S CELEnergy Safety and

Control Lab