building operation and user building performance · • data on energy use and ieq based on...

This project has received funding from the European Union’s Horizon 2020 research and

innovation programme under grant agreement No 768738

BUILDING OPERATION AND USER EXPERIENCE KEY TO ENHANCE

BUILDING PERFORMANCEDr. Noemi Jiménez-Redondo

20/05/2019

eTEACHER External Advisory Board Meeting – 7 May 2019

CONTENT

• What is eTEACHER?

• Solution proposed

• User engagement

• Empower tools

• Case studies

• Summary

eTEACHER


eTEACHER Introduction

✓ eTEACHER is an H2020 project (2017-2020)

✓ Change energy behaviour of buildings users

towards energy efficiency

✓ Develop ICT solutions: recommendations,

real time information, collect comfort feedback

✓ Existing solutions do not pay enough

attention to users:

▪ Poor use/performance of tools

▪ Lower energy savings


eTEACHER Consortium

CEMOSA coordinator

3 industries, 3 SMEs, 2 Non-profit enterprises, 2 public bodies, 1 research

institute, 1 university


eTEACHER objectives

ENCOURAGE & EMPOWER BUILDINGS

USERS TO CHANGE THEIRBEHAVIOUR TOWARDS

ENERGY EFFICIENCYCHANGE

DEVELOP AN ENERGYEFFICIENCY ADVISOR

BASED ON INFORMATIONAND COMMUNICATION

TECHNOLOGY

OPTIMISE USE OFLIGHTING, EQUIPMENT,

HVAC AND IMPROVEWELLBEING.


eTEACHER Solution

• Web-based app (for smartphones & dashboards) for building

owners, occupants and facility managers

• Including a collection of services to provide tailored advice to

building users to motivate and enable more energy efficient

behaviours

• By means of a range of novel ICT-based tools, such as a “What-if

Analysis” to better understand energy issues in buildings they

interact with.


– User-oriented design

• Design phase: Social studies to identify design requirements

• Implementation phase: users consultancy (FF)

• Commissioning phase: users training

– Engagement techniques based on:

• Energy visibility

• Energy literacy

• Energy gamification

Users engagement


Steps of eTEACHER solution

1. Gather information from end-users (smartphone apps or buttons)

2. Gather information from buildings and environment (universal

communication interface)

3. Process data with cloud services to identify the best energy

conservation measures and optimise indoor environmental quality.

4. Propose behaviour changes to optimise energy and indoor

environmental quality using engagement techniques tailored for

every user profile.

Users feedback

Tailored advice

Monitoringdata

MONITORING

BACS ADD-ONS(CLOUD SERVICES)

ENGAGEMENT TOOLS


Empower Tools

BACS add-ons & engagement tools


Empower Tools

MONITORING

Building level:

– Energy consumption (kWh): lighting, HVAC, appliances

– Outdoor/Indoor conditions: Temperature (ºC), CO2 (ppm), Relative

Humidity (%), Solar radiation (W/m2)

Room/Apartment level:

– Energy consumption(kWh): lighting, HVAC, appliances

– Indoor conditions: Temperature (ºC) , CO2 (ppm), Relative Humidity

(%), lighting level (lux)

– Others: Presence & windows opening

UBCI – Universal BACS Communication

Interface

Collect and store monitoring data from buildings and facilities.


Empower Tools

PULSE

– Digital service that combines end-user feedback on indoor

environment quality with the performance metric of a building into one

wellness score

– Building users can provide user feedback via the web-based user

interface or through feedback buttons


Empower Tools

METRIX

Data processing service aiming to transform inputs from sensors data in

buildings into KPIs on energy and indoor conditions by comparing

actual measurements with predetermined targets.


Empower Tools

WHAT-IF ANALYSIS

Cloud service that analyses indoor/outdoor monitored data taking into

account building and facilities features to identify most appropriated

energy conservation measures and convince users, e.g. by means of

energy scores.

What-IfAnalysis

monitoring data

+

building dataenergy

conservation

measures

!

Recommendation:„open blinds up and turn off light“,

Location: Arcoiris school, Ground Fllor, room 51,

Timestamp: 2019-05-03 11:15:00,

Effect: save lightingenergy,

Saving potential: -5% kWh/(m².d)


Empower Tools

ENGAGEMENT TOOLS

• Provides tailored advice on energy

savings and indoor environmental

quality based on the analysis of the

above mentioned services.

• It includes gamification, energy literacy

and energy visibility to encourage end-

users on behavioural change.


Empower Tools

Engagement tools


Case Studies

2 Health Care Centres

2 Schools

2 Residential buildings

1 Office Building

1 School

4 Residential Buildings

✓ 12 demo buildings

✓ 5204 building users

✓ 86% building

typologies

✓ 3 European climate

regions

✓ Wide range of

users profiles (age,

education, cultures)

✓ Different levels of

building automation


Case Studies

Example of target behaviours

Target behaviour Users

Lighting

Behaviours

Turning off lights when leaving a

room or at end of day

All users

Checking lighting levels and

needs during day – reducing use

of unneeded lights

Energy/facility

managers/staff,

building staff,

residents

Making use of natural light more all

Installing improved lighting and

controls

Building managers


Case Studies

Office buildings

Nottingham Council House (NCH) –

Nottingham (UK)

1927, 40 regular users, 5862 m2

Organismo Autónomo de

Recaudación (OAR) –

Badajoz (Spain)

2011,130 users, 3210 m2

Potential energy saving targets:

Use of windows, electric/electronic devices, lighting, elevator and

temperature set-points


Case Studies

Residential buildings

InCity Residence (InCity) – Bucharest

(Romania)

2009, 1500 users, 67900 m2 (4 buildings)

Residential Building Block

(Badajoz) – Badajoz (Spain)

1984, 95 users, 4540 m2


Use of windows/blinds, home appliances, lighting, heating & cooling and

temperature set-points


Case Studies

Academic buildings

Arco Iris Kindergarten

(ArcoIris) – Miajadas

(Spain)

1976, 120 users, 905 m2

Torrente Ballester High

School (Torrente) –

Miajadas (Spain)

1965, 120 users, 5307 m2


Use of windows/blinds, computers/smartboards, lighting, radiators and

temperature setpoints

Djanogly City Academy (Djanogly) – UK

2005, 800 users, 9163 m2


CASE STUDIES

Heath Care Centres

Guareña Health Care Centre (Guareña)

– Guareña (Spain)

200, 577 users, 1270 m2

Health Care Centre of Villafranca de los

Barros

2002, 915 users, 2180 m2


Use of windows/blinds, individual electric heaters, electric/electronic

devices, lighting, elevator radiators and temperature setpoints


Summary

– The goal of eTEACHER is to develop an energy and indoor

environmental quality advisor based on ICT solutions to

achieve a real change of behaviour of buildings’ users.

– Main features

• It includes engagement techniques: energy gamification,

literacy and visibility

• It provides customised advice to improve energy efficiency

and indoor environmental quality

• It is interoperable

– We expect to save 6-10% energy in 12 real buildings

Dr. Noemi Jimé[email protected]

MOBISTYLE is a 42-months European project focusing on motivating end users’ behavioral changethrough ICT based personalized information on user’s energy usage, indoor environment and health.

Duration: October 2016 – March 2020

PEOPLE

INTERACTIONSwith technologies / building

systems

indoor

environment/

comfort

health

SENSORS

energy consumption

The building ecosystem is efficient if allthe components are mutually concious.

MOBISTYLE PROJECT VISION

Analysis and identification of

target users

Understating user’s needs

Development of a user-centric ICT

solutions to meet user’s needs

Finalizing the scaling-up of the

use-case strategy and plan

Development of value

propositions

MOBISTYLE USER-CENTRIC APPROACH


target users







propositionsP

AIN

S

GA

INS


DEFINITION OF SCENARIOS OF INTENTIONS

ACTION 1 ACTION 2 ACTION 3

SC 1 SC 2 SC 3

DEFINITION OF OPTIMIZATION PURPOSES

OBJECTIVE 1 OBJECTIVE 2 OBJECTIVE 3

VARIABLE 1 VARIABLE 2 VARIABLE 3

DEFINITION OF ACTIONS DEFINITION OF MONITORED VARIABLES/SENSORS

ENVIRONMENTAL CONTRAINTS

MOBISTYLE BEHAVIOURAL ACTION PLAN


target users







propositions

MOBISTYLE ICT SOLUTIONS DEVELOPMENT

data

cloud

M2MM2U

Wifi

Methodologies(Algorithms, models)

EnergyIEQHealth

White goods

Wearables

Energy, IEQ sensors

data

cloud

data

cloud

MOBISTYLE Database

Digital authentication

GAME

DASHBOARD

MOBISTYLEUsers Platform

MOBISTYLE ICT ARCHITECTURE

MOBISTYLE Dashboard MOBISTYLE Game

What is it? • Application for non experts • Data on energy use and IEQ based on measured

parameters. • Visualisation can be customised for different roles

(e.g. building occupant or building manager) • Objective is improving indoor environmental

conditions and energy consumption through alerts/push messages recommends

• A mobile application, that based on defined objectives for preferable user practices,

• Nudges user to change practices in a fun way• It is able to track the effect of changed practices

on energy use and indoor environment over time and compare with peers.

• It provides scores to users for recommended practices and desirable changes.

For which purpose?

Monitoring &Raising awareness

Behavioral change & Raise awareness

For whom? Building manager & Occupants (non-residential)

Residential users

Where it is validated?

Slovenian case &Italian case

Polish case &Danish case

Dashboard Game

MOBISTYLE ICT SOLUTIONS

Desktop application:

• Web application developed in HTML and Javascript

• Aimed to both consumers and company managers

• Used primarily to configure rooms and suggestions

Mobile application:

• Android only ATM

• Same dashboard as desktop application

• Published as open beta version on Google Play

• Aimed to consumers only

MOBISTYLE DASHBOARD

Mobile application:

• The MOBISTYLE Game is a mobileapplication that uses “nudges”,complemented by “tips”, to change userbehaviour based on the sensors available inthe residence.

• The game uses data captured from sensorsfor both triggering missions and detectingtheir completion.

MOBISTYLE GAME


target users







propositions

MOBISTYLE USER CENTRIC APPROACH

ISSUE #1 | March 2017EU H2020 MOBISTYLE PROJECT Newslestter | Issue # 1

5 selected demonstration cases used to present real life situation in five different climatic regions (geo-clusters) covering different building types, different types of end-users and different scales (building, district).

QESKE

MOBISTYLE DEMONSTRATION CASES

Case Reduce energy use Improve IEQ Improve Health User practices

DKKildeparken

Heating, DHW Reduce overheating, improve IAQ

By better sleeping quality at night, reduced humidity levels in apartment

Heating setpoint, window opening, DHW use

SIUniversity of Ljubljana

Indirectly, energy use reduction estimated

Reduce overheating, avoid glare, improve IAQ, lighting quality, view to outside

By providing motivation Improve user interaction with building systems

ITOrologio Living Apartments

Electricity for HVAC and appliances

Reduce overheating, improve IAQ

By improve the sense of wellbeing in relation to indoor environment

Fan- coil setpoint, window opening, appliances and electric devices

NLQeske office

Indirectly, energy use reduction estimated as a results of reduced heating setpoints

By exposing occupants to different temperature conditions

Perceived acceptability of varying temperatures

PLSmart City Wroclaw

Electricity for appliances and plug loads

Reduce overheating, improve IAQ, reduce humidity levels

By improving IEQ HVAC setpoints, window opening,

MOBISTYLE DEMONSTRATION CASES OBJECTIVES


target users







propositions


Energy efficiency at the heart of EU transition towards sustainable future.NOT at the heart of building users.

Interdisciplinary work between engineers and social scientists can help understanding users.

We need to understand the current user behavior and make its energy demand visible to users.

We start steering new behaviors by promoting practices with multiple benefits.

People use energy for its everyday practices but most often energy use remains unnoticed.

CONCLUSIONS

Promote solutions and services where goals on energy efficiency, good IEQ and health overlap.

Energy conscious and healthy behaviour becomes a way of life and not only a one-time service

CONCLUSIONS

THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION’S H2020 FRAMEWORK PROGRAMME FOR RESEARCH AND INNOVATION UNDER GRANT AGREEMENT NO 723032

THE INFORMATION IN THIS PUBLICATION DOES NOT NECESSARILY REPRESENT THE VIEW OF THE EUROPEAN COMMISSION.

© MOBISTYLEALL RIGHTS RESERVED. ANY DUPLICATION OR USE OF OBJECTS SUCH AS DIAGRAMS IN OTHER ELECTRONIC OR PRINTED PUBLICATIONS IS NOT PERMITTED WITHOUT THE AUTHOR’S AGREEMENT.

@MOBISTYLE_EU

[email protected]

www.mobistyle-project.eu

Contact MOBISTYLE team.

Simona D’Oca [email protected]

THANK YOU FOR THE ATTENTION!

https://twitter.com/MOBISTYLE_EU

mailto:[email protected]

http://www.mobistyle-project.eu/

mailto:[email protected]

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 680517

This document reflects only the author’s views and the Commission is not responsible for any use that may be made of the information contained therein

Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability

Project duration: November 2015 – April 2019



Building Operation and User Experience key to Enhanced Building Performance

Ander Romero & Pablo de Agustin

Building Technologies DivisionTECNALIA



➢ Project overview

➢ Advancing the capabilities of energy modelling and simulation tools

➢ Utility and real-life environment applications

Index



Project overview



Huge gaps between predicted and actual energy consumption prohibit the scaled deployment of energy efficiency projects

Motivation



Holistic Energy Performance Optimization Framework



This holistic energy optimization framework reduces uncertainties in energy prediction and enables reliable business models for

ESCOs, Facility Managers and DR Aggregators

Applications



Advancing the capabilities of energy modelling and simulation tools



Buildinggeometry

➢ Physical energy modelling of buildings

Constructionproperties

Indoor use profiles

HVAC systems

Towards BIM interoperability

Enviroment effect



Indoorzonification

Specific profiles ofoccupancy, comfortsetpoints and use per zone

Dedicated analysesof indoor conditionsper zone




Dynamic simulation for changing conditions




HVAC systems are completelymodelled, from generationequipment characteristics, todistribution topology and theterminal units.

Generation and consumptionare simulated coupled and simoultaneously.




Simulations at building level use EnergyPlus as calculation engine, while thedistrict models are developed in Modelica.

Modelica is a multi-domain computer language for complex systems modelling.

➢ Physical energy modelling of buildings and districts

A MOEEBIUS library of specific DER and load models has been developed

The models cover the needs of theMOEEBIUS pilots, but go beyond theirneeds, including additional subsystems.The models are generic and adaptable toany future use or replication ofMOEEBIUS modelling works.



A MOEEBIUS library of specific DER and load models has been developed

➢ MOEEBIUS Distributed Energy Resources Models Library

The MOEEBIUS generic models library is formed by the following subsystems:– Load models:

• District heating thermal loads (Building heating substations).

• New swimming pool thermal balance model and a swimming pool heating and makeup water thermal demand model

– Generator/Storage models:

• District heating plant including the storage subsystem.

• Solar thermal collector plant, including solar production storage.

• Electric DER systems (PV systems and wind turbine systems).

– District Heating models:

• Pumping station.

• Distribution thermal network.



I.e. a DH pumping station is modelled using mechanical, hydraulic, thermal and control subcomponents.




A complete District Heating grid model is composed by multiple submodels.




Physical buildings and districts modelling:

➢ Reasons behind the energy gap

Enviromental inaccuracies

Details→ Uncertainties

Alterations in buildings during life

Model simplifications

Occupants behaviouruncertainties (setpoints, occupancy, open or closedWindows and doors…)

BIM inaccuracies

Inadequateassumptions

Non – efficient control strategies

Loss of performance



The Dynamic Assessment Engine calibrates the models, through the comparisonbetween predicted and observed energy KPIs, and applying bayesian methods.

➢ The MOEEBIUS gap reduction way

Models need to be automatically updated with inputs from other MOEEBIUS framework components:➢ Updated occupancy and behavioural profiles➢ Updated weather file based on meteorological forecast➢ Calibration of model parameters (i.e. infiltration rate, thermal

properties of the walls, internal gains)



MOEEBIUS BEPS (Building and District Energy Performance Simulation tool) is a simulation server developed in the project, using EnergyPlus as simulation engine and going business as usual use of it.

➢ MOEEBIUS Building and District Energy Performance Simulation tools

➢ Model parameters standarization methodology

➢ Weather files generation based on forecast

➢ Parallel simulation of multiple scenarios

➢ Model’s automatic modification enables:

➢ Update➢ Calibration➢ Optimization➢ Retrofitting



MOEEBIUS BEPS: a core component in the MOEEBIUS framework

➢ MOEEBIUS Building and District Energy Performance Simulation tools



Utility and real-life environment applications



Multi-purpose modelling

One model for building’s life three main phases

➢ Utility and real-life enviroment applications

Design Operation & Maintenance

Retrofitting



➢ HVAC control optimization

➢ Monitoring and remote visualization

➢ Learning of users behavior ➢ Remote monitoring of District Heating consumption

➢ Weekly prediction of consumption for the DH grid operator

➢ Evaluation of alternative grid operation strategies (digital twin)

➢ Analysis consumers participation in

Demand Response schemes

➢ Retrofitting alternatives evaluation

Multiple applications and use-cases in three pilot sitesMafra (Portugal) Belgrade (Serbia)

London (UK)




Optimized control strategies for the Stepa Stepanovic District Heating subnetwork, in Belgrade (Serbia)

An Integrated District Model was developed to simulate the performance of 54 buildings and thewhole District Heating subnetwork’s infrastructure





Three alternative scenarios were simulated modifying default values both at consumption and supply sides, leading to energy savings and peak reduction strategies.


Both peak load reduction and energy savings are achievedif consumption patters are modified.

Additional peak load reduction and energy savings are achieved if also supply temperature is optimized.




The potential impact of applying optimized control strategies has been proved to be relevant for both energy savings and peak load reduction. As example, for a severe week of last January 2019:


Consumption modification scenarios Both consumption and supplymodification scenarios

An even higher impact could be achieved, under more severe winters, or for low temperature terminal units (as radiant floor, instead of radiators, in the apartments).



MOEEBIUS Partners

www.moeebius.euProject coordinator

Ander Romero AmorrortuTECNALIAParque Tecnológico de [email protected]



building operation and user building performance · • data on energy use and ieq based on...

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