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Psimopoulos, EmmanouilORCID iD iconorcid.org/0000-0003-0402-8433
Publications (7 of 7) Show all publications
Psimopoulos, E., Johari, F., Bales, C. & Widén, J. (2020). 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. Energies, 13(6)
Open this publication in new window or tab >>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
2020 (English)In: Energies, ISSN 1996-1073, 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.

Keywords
photovoltaics, heat pump, thermal storage, electrical storage, control algorithms, forecast services, self-consumption, final energy
National Category
Energy Systems
Research subject
Energy and Built Environments
Identifiers
urn:nbn:se:du-32340 (URN)10.3390/en13061413 (DOI)
Available from: 2020-03-19 Created: 2020-03-19 Last updated: 2020-03-19
Bee, E., Prada, A., Baggio, P. & Psimopoulos, E. (2019). Air-source heat pump and photovoltaic systems for residential heating and cooling: Potential of self-consumption in different European climates. Building Simulation, 12(3), 453-463
Open this publication in new window or tab >>Air-source heat pump and photovoltaic systems for residential heating and cooling: Potential of self-consumption in different European climates
2019 (English)In: Building Simulation, ISSN 1996-3599, E-ISSN 1996-8744, Vol. 12, no 3, p. 453-463Article in journal (Refereed) Published
Abstract [en]

Renewable sources will play a key role in meeting the EU targets for 2030. The combined use of an aerothermal source through a heat pump and a solar source with a photovoltaic (PV) system is one feasible and promising technology for the heating and cooling of residential spaces. In this study, a detailed model of a single-family house with an air-source heat pump and a PV system is developed with the TRNSYS simulation software. Yearly simulations are run for two types of buildings and nine European climates, for both heating and cooling (where needed), in order to have an overview of the system behaviour, which is deeply influenced by the climate. The storage system (electrical and thermal) is also investigated, by means of multiple simulation scenarios, with and without the battery and with different water storage sizes. The numerical results provide an overview of the performance of the considered heating and cooling system, as well as the balance of the electrical energy exchange between the grid, the building, and the PV array.

National Category
Energy Systems
Research subject
Energy and Built Environments
Identifiers
urn:nbn:se:du-30002 (URN)10.1007/s12273-018-0501-5 (DOI)000467052900008 ()2-s2.0-85065422504 (Scopus ID)
Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-05-23Bibliographically approved
Psimopoulos, E., Bee, E., Widén, J. & Bales, C. (2019). Techno-economic analysis of control algorithms for an exhaust air heat pump system for detached houses coupled to a photovoltaic system. Applied Energy, 249, 355-367
Open this publication in new window or tab >>Techno-economic analysis of control algorithms for an exhaust air heat pump system for detached houses coupled to a photovoltaic system
2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 249, p. 355-367Article in journal (Refereed) Published
Abstract [en]

Operational control strategies for the heating system and “smart” utilization of energy storage were developed and analyzed in a simulation based case study of a single-family house with exhaust air heat pump and photovoltaic system. Rule based control algorithms that can easily be implemented into modern heat pump controllers were developed with the aim to minimize final energy and maximize self-consumption by the use of the thermal storage of the building, the hot water tank and electrical storage. Short-term weather and electricity price forecasts are used in some of the algorithms. Heat supply from an exhaust air heat pump is limited by the ventilation flow rate fixed by building codes, and compact systems employ an electric heater as backup for both space heating and hot water. This heater plays an important role in the energy balance of the system. A typical system designed for new detached houses in Sweden was chosen for the study. This system, together with an independent photovoltaic system, was used as a base case and all results are compared to those for this base case system. TRNSYS 17 was used to model the building and system as well as the control algorithms, and special care was taken to model the use of the backup electric heater as this impacts significantly on final energy use. Results show that the developed algorithms can reduce final energy by 5–31% and the annual net cost for the end user by 3–26%, with the larger values being for systems with a battery storage. Moreover, the annual use of the backup electric heater can be decreased by 13–30% using the carefully designed algorithms.

Keywords
Photovoltaics, Heat pump, Forecast services, Thermal storage, Electrical storage, Control algorithms
National Category
Energy Systems
Research subject
Energy and Built Environments
Identifiers
urn:nbn:se:du-30003 (URN)10.1016/j.apenergy.2019.04.080 (DOI)000472692200029 ()2-s2.0-85065118179 (Scopus ID)
Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-07-22Bibliographically approved
Luthander, R., Psimopoulos, E. & Widén, J. (2017). Demand Side Management Using PV, Heat Pumps and Batteries: Effects on Community and Building Level. In: Proceedings of the 33rd European Photovoltaic Solar Energy Conference: . Paper presented at 33rd European Photovoltaic Solar Energy Conference (EU PVSEC), Amsterdam, The Netherlands, 25 - 29 September, 2017.
Open this publication in new window or tab >>Demand Side Management Using PV, Heat Pumps and Batteries: Effects on Community and Building Level
2017 (English)In: Proceedings of the 33rd European Photovoltaic Solar Energy Conference, 2017Conference paper, Published paper (Refereed)
Abstract [en]

This study examines how the energy management optimization on household level affects the maximum power flow in a community of houses and the contribution to load smoothening in the community. A detailed model of a single-family house with exhaust air heat pump and photovoltaic system is used in combination with high-resolution weather, electricity use and hot water use data. All five houses in the community are identical but the occupancy of the residents and their use of electric appliances and hot water differ. Results show no reduction of the maximum power delivered to the grid if the houses are operated to optimize the individual self-consumption and self-sufficiency. The highest aggregated power from the grid for the whole community occurred when the heat pumps were controlled by the PV electricity production but without any battery storage. This case also resulted in least smoothing of the aggregated household loads in the community. The conclusion of the study is that energy optimization for individual households in a community do not have to result in a reduction of the aggregated load and power production.

National Category
Energy Engineering
Research subject
Energy, Forests and Built Environments
Identifiers
urn:nbn:se:du-27255 (URN)
Conference
33rd European Photovoltaic Solar Energy Conference (EU PVSEC), Amsterdam, The Netherlands, 25 - 29 September, 2017
Funder
Swedish Energy Agency, P37511-1]
Available from: 2017-10-31 Created: 2018-02-19Bibliographically approved
Sotnikov, A., Nielsen, C. K., Bales, C., Dalenbäck, J.-O. -., Andersen, M. & Psimopoulos, E. (2017). Simulations of a Solar-Assisted Block Heating System. In: : . Paper presented at ISES Solar World Congress 2017 - IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2017, Proceedings (pp. 373-383).
Open this publication in new window or tab >>Simulations of a Solar-Assisted Block Heating System
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2017 (English)Conference paper, Published paper (Refereed)
National Category
Environmental Engineering
Research subject
Energy, Forests and Built Environments
Identifiers
urn:nbn:se:du-28298 (URN)10.18086/swc.2017.06.13 (DOI)2-s2.0-85050521978 (Scopus ID)
Conference
ISES Solar World Congress 2017 - IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2017, Proceedings
Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2018-08-13Bibliographically approved
Psimopoulos, E., Bee, E., Luthander, R. & Bales, C. (2017). Smart control strategy for PV and heat pump system utilizing thermal and electrical storage and forecast services. In: : . Paper presented at ISES Solar World Congress 2017 - IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2017, Proceedings (pp. 2240-2251).
Open this publication in new window or tab >>Smart control strategy for PV and heat pump system utilizing thermal and electrical storage and forecast services
2017 (English)Conference paper, Published paper (Refereed)
National Category
Environmental Engineering
Research subject
Energy, Forests and Built Environments
Identifiers
urn:nbn:se:du-28299 (URN)10.18086/swc.2017.33.07 (DOI)2-s2.0-85050520430 (Scopus ID)
Conference
ISES Solar World Congress 2017 - IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2017, Proceedings
Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2018-08-13Bibliographically approved
Psimopoulos, E., Leppin, L., Luthander, R. & Bales, C. (2016). Control algorithms for PV and Heat Pump system using thermal and electrical storage. In: Proceedings of the 11th ISES EuroSun 2016 International Conference on Solar Energy for Buildings and Industry, Palma de Mallorca, Spain, 11-14 October 2016: . Paper presented at EuroSun 2016 International Conference on Solar Energy for Buildings and Industry. International Solar Energy Society
Open this publication in new window or tab >>Control algorithms for PV and Heat Pump system using thermal and electrical storage
2016 (English)In: Proceedings of the 11th ISES EuroSun 2016 International Conference on Solar Energy for Buildings and Industry, Palma de Mallorca, Spain, 11-14 October 2016, International Solar Energy Society , 2016Conference paper, Published paper (Other academic)
Abstract [en]

In this study a detailed model of a single-family house with an exhaust air heat pump and photovoltaic system is developed in the simulation software TRNSYS. The model is used to evaluate three control algorithms using thermal and electrical storage in terms of final energy, solar fraction, self-consumption and seasonal performance factor. The algorithms are tested and compared with respect to energetic improvement for 1) use of the heat pump plus storage tank for domestic hot water and space heating, 2) use of the electrical storage in batteries and 3) use of both electrical and thermal storage. Results show the highest increase of self-consumption to 50.5%, solar fraction to 40.6% and final energy decrease to 6923 kWh by implementing the third algorithm in a system with 9.36 kW PV capacity and battery storage of 10.8 kWh. The use of electrical energy storage has higher positive impact compared to the thermal storage with the settings and component sizes used. The combined use of thermal storage and batteries leads to final energy savings that are nearly the same as the combined savings of thermal storage and batteries separately, showing that they are mostly independent of one another for the settings of this study.

Place, publisher, year, edition, pages
International Solar Energy Society, 2016
Keywords
Photovoltaics, heap pump, thermal storage, electrical storage, solar fraction, self-consumption
National Category
Energy Engineering
Research subject
Energy, Forests and Built Environments
Identifiers
urn:nbn:se:du-25960 (URN)10.18086/eurosun.2016.08.13 (DOI)000426895100130 ()
Conference
EuroSun 2016 International Conference on Solar Energy for Buildings and Industry
Available from: 2017-08-16 Created: 2017-09-05 Last updated: 2018-05-17Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0402-8433

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