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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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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