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Impact of Boundary Conditions on the Performance Enhancement of Advanced Control Strategies for a Residential Building with a Heat Pump and PV System with Energy Storage
Dalarna University, School of Technology and Business Studies, Energy Technology. Uppsala University.ORCID iD: 0000-0003-0402-8433
Dalarna University, School of Technology and Business Studies, Energy Technology.ORCID iD: 0009-0005-9937-4217
2020 (English)In: Energies, E-ISSN 1996-1073, Vol. 13, no 6Article in journal (Refereed) Published
Abstract [en]

Operational control strategies for the heating system of a single-family house with exhaust air heat pump and photovoltaic system and “smart” utilization of energy storage have been developed and evaluated in a simulation study. The main aim and novelty of this study is to evaluate the impact on the benefit of these advanced control strategies in terms of performance (energy use and economic) for a wide range of boundary conditions (country/climate, occupancy and appliance loads). Short-term weather data and historic price data for the same year as well as stochastic occupancy profiles that include the domestic hot water load are used as boundary for a parametric simulation study for the system modeled in detail in TRNSYS 17. Results show that the control using a forecast of dynamic electricity price leads to greater final energy savings than those due to the control using thermal storage for excess PV production in all of the examined locations except Sweden. The impact on self-consumption using thermal storage of heat produced by the heat pump using excess PV production is found to decrease linearly with increasing household electricity for all locations. A reduction in final energy of up to 842 kWh year−1 can be achieved just by the use of these algorithms. The net energy cost for the end-user follows the same trend as for final energy and can result in cost savings up to 175 € year−1 in Germany and Spain due to the use of the advanced control.

Place, publisher, year, edition, pages
2020. Vol. 13, no 6
Keywords [en]
photovoltaics, heat pump, thermal storage, electrical storage, control algorithms, forecast services, self-consumption, final energy
National Category
Energy Systems
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
URN: urn:nbn:se:du-32340DOI: 10.3390/en13061413ISI: 000528727500118Scopus ID: 2-s2.0-85082712162OAI: oai:DiVA.org:du-32340DiVA, id: diva2:1415765
Available from: 2020-03-19 Created: 2020-03-19 Last updated: 2025-11-14
In thesis
1. Smart control of PV and exhaust air heat pump systems in single-family buildings
Open this publication in new window or tab >>Smart control of PV and exhaust air heat pump systems in single-family buildings
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Recently, decentralized household photovoltaic (PV) systems have become more affordable and there is a tendency to decrease subsidies for the PV excess electricity fed into the grid. Therefore, there is growing interest in methods to increase the self-consumption (SC), which is the part of the electricity produced by PV and directly consumed on buildings. It has been found that battery storage is an effective way to achieve this. When there is a heat pump system installed, thermal energy storage using the thermal mass of the building or hot water tanks, can also be used to increase the household self-sufficiency and minimize the final energy use. The main aim of this thesis is to develop operational control strategies for the heating system of a single-family house with an exhaust air heat pump, a photovoltaic system and energy storage. In order to accomplish this a detailed system model was developed in TRNSYS 17, which includes a six-zone building model and the heat pump control. Moreover, these control strategies include short-term weather and price forecast services.  Another objective is to evaluate the impact on the benefit of these control strategies in terms of energy use and economic performance for a wide range of boundary conditions (country/climate, electricity prices, occupancy and appliance loads).  Results show that the control using a forecast of dynamic electricity price in most locations leads to greater final energy savings than those due to the control using thermal storage for excess PV production. The exception is Sweden, where the result is the opposite. Moreover, the addition of battery storage leads to greater decreases in final energy than the use of the thermal storage (TH mode), which is limited to the thermal mass of the building and small hot water tank of the compact heat pump. As far as the impact of the advanced control (combined use of TH and PRICE) on cost savings is concerned, savings (up to 175 €) are possible in Spain and in Germany. The design of the TH and PRICE mode show low computational complexity that can be easily implemented in existing heat pump controllers. Additionally, the PRICE mode should have no capital and running cost for the end user while the TH mode might require an external electricity meter. Another yet implication with the TH mode is the need to activate the room thermostatic valve.

Place, publisher, year, edition, pages
Uppsala: Uppsala University, 2019. p. 50
Keywords
photovoltaics, heat pump, forecast services, thermal storage, electrical storage, control algorithms
National Category
Energy Engineering
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
urn:nbn:se:du-32581 (URN)
Opponent
Supervisors
Funder
Knowledge Foundation, 20160171
Available from: 2019-12-17 Created: 2020-04-28 Last updated: 2025-10-09Bibliographically approved

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Psimopoulos, EmmanouilBales, Chris

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Citation style
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