Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings

Behaviour Demand Response (BDR) is an approach that enables the adaptation of operation of the district heating assets to dynamic market and capacity constraints by asking building occupants to participate and temporarily alter their demand profiles. In this paper we will present an explicit behavio...

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Main Authors: Christian Beder, Julia Blanke, Martin Klepal
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/20/1/2
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spelling doaj-058ac8af50104a54ae0349f768a62abf2020-11-25T01:45:41ZengMDPI AGProceedings2504-39002019-07-01201210.3390/proceedings2019020002proceedings2019020002Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy SavingsChristian Beder0Julia Blanke1Martin Klepal2People Behaviour & Technology Integration Group, Nimbus Research Centre, Cork Institute of Technology, Cork T12P928, IrelandPeople Behaviour & Technology Integration Group, Nimbus Research Centre, Cork Institute of Technology, Cork T12P928, IrelandPeople Behaviour & Technology Integration Group, Nimbus Research Centre, Cork Institute of Technology, Cork T12P928, IrelandBehaviour Demand Response (BDR) is an approach that enables the adaptation of operation of the district heating assets to dynamic market and capacity constraints by asking building occupants to participate and temporarily alter their demand profiles. In this paper we will present an explicit behavioural occupant model that considers motivational factors beyond financial incentives and that integrates with the district heating simulation model of the CIT Bishopstown campus, which has been used as a testbed for the E2District project. Both models have been calibrated to reflect the actual occupant population and energy consumption of the campus for the 2018/2019 heating period. This allows an accurate simulation-based assessment of potential energy savings through different dynamic behaviour demand response (BDR) triggers. We will show how a generic district simulation model can be integrated with the occupant behaviour model to quantify the potential additional energy savings that can be achieved through better demand-side management of the heating system.https://www.mdpi.com/2504-3900/20/1/2behaviour demand responsedistrict heating
collection DOAJ
language English
format Article
sources DOAJ
author Christian Beder
Julia Blanke
Martin Klepal
spellingShingle Christian Beder
Julia Blanke
Martin Klepal
Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings
Proceedings
behaviour demand response
district heating
author_facet Christian Beder
Julia Blanke
Martin Klepal
author_sort Christian Beder
title Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings
title_short Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings
title_full Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings
title_fullStr Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings
title_full_unstemmed Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings
title_sort behaviour demand response in district heating—a simulation-based assessment of potential energy savings
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2019-07-01
description Behaviour Demand Response (BDR) is an approach that enables the adaptation of operation of the district heating assets to dynamic market and capacity constraints by asking building occupants to participate and temporarily alter their demand profiles. In this paper we will present an explicit behavioural occupant model that considers motivational factors beyond financial incentives and that integrates with the district heating simulation model of the CIT Bishopstown campus, which has been used as a testbed for the E2District project. Both models have been calibrated to reflect the actual occupant population and energy consumption of the campus for the 2018/2019 heating period. This allows an accurate simulation-based assessment of potential energy savings through different dynamic behaviour demand response (BDR) triggers. We will show how a generic district simulation model can be integrated with the occupant behaviour model to quantify the potential additional energy savings that can be achieved through better demand-side management of the heating system.
topic behaviour demand response
district heating
url https://www.mdpi.com/2504-3900/20/1/2
work_keys_str_mv AT christianbeder behaviourdemandresponseindistrictheatingasimulationbasedassessmentofpotentialenergysavings
AT juliablanke behaviourdemandresponseindistrictheatingasimulationbasedassessmentofpotentialenergysavings
AT martinklepal behaviourdemandresponseindistrictheatingasimulationbasedassessmentofpotentialenergysavings
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