building operation and user building performance · • data on energy use and ieq based on...
TRANSCRIPT
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 External Advisory Board Meeting – 7 May 2019
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 External Advisory Board Meeting – 7 May 2019
eTEACHER Consortium
CEMOSA coordinator
3 industries, 3 SMEs, 2 Non-profit enterprises, 2 public bodies, 1 research
institute, 1 university
eTEACHER External Advisory Board Meeting – 7 May 2019
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 External Advisory Board Meeting – 7 May 2019
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.
eTEACHER External Advisory Board Meeting – 7 May 2019
– 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
eTEACHER External Advisory Board Meeting – 7 May 2019
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
eTEACHER External Advisory Board Meeting – 7 May 2019
Empower Tools
BACS add-ons & engagement tools
eTEACHER External Advisory Board Meeting – 7 May 2019
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.
eTEACHER External Advisory Board Meeting – 7 May 2019
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
eTEACHER External Advisory Board Meeting – 7 May 2019
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.
eTEACHER External Advisory Board Meeting – 7 May 2019
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)
eTEACHER External Advisory Board Meeting – 7 May 2019
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.
eTEACHER External Advisory Board Meeting – 7 May 2019
Empower Tools
Engagement tools
eTEACHER External Advisory Board Meeting – 7 May 2019
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
eTEACHER External Advisory Board Meeting – 7 May 2019
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
eTEACHER External Advisory Board Meeting – 7 May 2019
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
eTEACHER External Advisory Board Meeting – 7 May 2019
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
Potential energy saving targets:
Use of windows/blinds, home appliances, lighting, heating & cooling and
temperature set-points
eTEACHER External Advisory Board Meeting – 7 May 2019
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
Potential energy saving targets:
Use of windows/blinds, computers/smartboards, lighting, radiators and
temperature setpoints
Djanogly City Academy (Djanogly) – UK
2005, 800 users, 9163 m2
eTEACHER External Advisory Board Meeting – 7 May 2019
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
Potential energy saving targets:
Use of windows/blinds, individual electric heaters, electric/electronic
devices, lighting, elevator radiators and temperature setpoints
eTEACHER External Advisory Board Meeting – 7 May 2019
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
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
propositionsP
AIN
S
GA
INS
MOBISTYLE USER-CENTRIC APPROACH
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
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 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
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
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
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
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
www.mobistyle-project.eu
Contact MOBISTYLE team.
Simona D’Oca [email protected]
THANK YOU FOR THE ATTENTION!
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
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
Building Operation and User Experience key to Enhanced Building Performance
Ander Romero & Pablo de Agustin
Building Technologies DivisionTECNALIA
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
➢ Project overview
➢ Advancing the capabilities of energy modelling and simulation tools
➢ Utility and real-life environment applications
Index
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
Project overview
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
Huge gaps between predicted and actual energy consumption prohibit the scaled deployment of energy efficiency projects
Motivation
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
Holistic Energy Performance Optimization Framework
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
This holistic energy optimization framework reduces uncertainties in energy prediction and enables reliable business models for
ESCOs, Facility Managers and DR Aggregators
Applications
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
Advancing the capabilities of energy modelling and simulation tools
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
Buildinggeometry
➢ Physical energy modelling of buildings
Constructionproperties
Indoor use profiles
HVAC systems
Towards BIM interoperability
Enviroment effect
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
Indoorzonification
Specific profiles ofoccupancy, comfortsetpoints and use per zone
Dedicated analysesof indoor conditionsper zone
➢ Physical energy modelling of buildings
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
Dynamic simulation for changing conditions
➢ Physical energy modelling of buildings
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
HVAC systems are completelymodelled, from generationequipment characteristics, todistribution topology and theterminal units.
Generation and consumptionare simulated coupled and simoultaneously.
➢ Physical energy modelling of buildings
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
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.
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
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.
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
I.e. a DH pumping station is modelled using mechanical, hydraulic, thermal and control subcomponents.
➢ MOEEBIUS Distributed Energy Resources Models Library
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
A complete District Heating grid model is composed by multiple submodels.
➢ MOEEBIUS Distributed Energy Resources Models Library
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
A complete District Heating grid model is composed by multiple submodels.
➢ MOEEBIUS Distributed Energy Resources Models Library
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
A complete District Heating grid model is composed by multiple submodels.
➢ MOEEBIUS Distributed Energy Resources Models Library
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
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
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
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)
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
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
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
MOEEBIUS BEPS: a core component in the MOEEBIUS framework
➢ MOEEBIUS Building and District Energy Performance Simulation tools
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
Utility and real-life environment applications
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
Multi-purpose modelling
One model for building’s life three main phases
➢ Utility and real-life enviroment applications
Design Operation & Maintenance
Retrofitting
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
➢ 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)
➢ Utility and real-life enviroment applications
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
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
➢ Utility and real-life enviroment applications
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
Optimized control strategies for the Stepa Stepanovic District Heating subnetwork, in Belgrade (Serbia)
Three alternative scenarios were simulated modifying default values both at consumption and supply sides, leading to energy savings and peak reduction strategies.
➢ Utility and real-life enviroment applications
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.
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
Optimized control strategies for the Stepa Stepanovic District Heating subnetwork, in Belgrade (Serbia)
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:
➢ Utility and real-life enviroment applications
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).
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
MOEEBIUS Partners
www.moeebius.euProject coordinator
Ander Romero AmorrortuTECNALIAParque Tecnológico de [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