Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty

With the increasing penetration of intermittent renewable energy generation, there is a growing demand to use the inherent flexibility within buildings to absorb renewable related disruptions. Heat pumps play a particularly important role, as they account for a high share of electricity consumption...

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Main Authors: Zhengjie You, Michel Zade, Babu Kumaran Nalini, Peter Tzscheutschler
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/18/5709
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author Zhengjie You
Michel Zade
Babu Kumaran Nalini
Peter Tzscheutschler
author_facet Zhengjie You
Michel Zade
Babu Kumaran Nalini
Peter Tzscheutschler
author_sort Zhengjie You
collection DOAJ
description With the increasing penetration of intermittent renewable energy generation, there is a growing demand to use the inherent flexibility within buildings to absorb renewable related disruptions. Heat pumps play a particularly important role, as they account for a high share of electricity consumption in residential units. The most common way of quantifying the flexibility is by considering the response of the building or the household appliances to external penalty signals. However, this approach neither accounts for the use cases of flexibility trading nor considers its impact on the prosumer comfort, when the heat pump should cover the stochastic domestic hot water (DHW) consumption. Therefore, in this paper, a new approach to quantifying the flexibility potential of residential heat pumps is proposed. This methodology enables the prosumers themselves to generate and submit the operating plan of the heat pump to the system operator and trade the alternative operating plans of the heat pump on the flexibility market. In addition, the impact of the flexibility provision on the prosumer comfort is investigated by calculating the warm water temperature drops in the thermal energy storage given heat demand forecast errors. The results show that the approach with constant capacity reservation in the thermal energy storage provides the best solution, with an average of 2.5 min unsatisfactory time per day and a maximum temperature drop of 2.3 °C.
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spelling doaj.art-8b4d0f9aea3c4046aced14fe6d7ecd9a2023-11-22T12:51:44ZengMDPI AGEnergies1996-10732021-09-011418570910.3390/en14185709Flexibility Estimation of Residential Heat Pumps under Heat Demand UncertaintyZhengjie You0Michel Zade1Babu Kumaran Nalini2Peter Tzscheutschler3Energy Economy and Application Technology, TUM Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, GermanyEnergy Economy and Application Technology, TUM Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, GermanyEnergy Economy and Application Technology, TUM Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, GermanyEnergy Economy and Application Technology, TUM Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, GermanyWith the increasing penetration of intermittent renewable energy generation, there is a growing demand to use the inherent flexibility within buildings to absorb renewable related disruptions. Heat pumps play a particularly important role, as they account for a high share of electricity consumption in residential units. The most common way of quantifying the flexibility is by considering the response of the building or the household appliances to external penalty signals. However, this approach neither accounts for the use cases of flexibility trading nor considers its impact on the prosumer comfort, when the heat pump should cover the stochastic domestic hot water (DHW) consumption. Therefore, in this paper, a new approach to quantifying the flexibility potential of residential heat pumps is proposed. This methodology enables the prosumers themselves to generate and submit the operating plan of the heat pump to the system operator and trade the alternative operating plans of the heat pump on the flexibility market. In addition, the impact of the flexibility provision on the prosumer comfort is investigated by calculating the warm water temperature drops in the thermal energy storage given heat demand forecast errors. The results show that the approach with constant capacity reservation in the thermal energy storage provides the best solution, with an average of 2.5 min unsatisfactory time per day and a maximum temperature drop of 2.3 °C.https://www.mdpi.com/1996-1073/14/18/5709heat pump flexibilitydemand-side responseenergy managementoptimizationforecast uncertaintycomfort loss
spellingShingle Zhengjie You
Michel Zade
Babu Kumaran Nalini
Peter Tzscheutschler
Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty
Energies
heat pump flexibility
demand-side response
energy management
optimization
forecast uncertainty
comfort loss
title Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty
title_full Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty
title_fullStr Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty
title_full_unstemmed Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty
title_short Flexibility Estimation of Residential Heat Pumps under Heat Demand Uncertainty
title_sort flexibility estimation of residential heat pumps under heat demand uncertainty
topic heat pump flexibility
demand-side response
energy management
optimization
forecast uncertainty
comfort loss
url https://www.mdpi.com/1996-1073/14/18/5709
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AT michelzade flexibilityestimationofresidentialheatpumpsunderheatdemanduncertainty
AT babukumarannalini flexibilityestimationofresidentialheatpumpsunderheatdemanduncertainty
AT petertzscheutschler flexibilityestimationofresidentialheatpumpsunderheatdemanduncertainty