IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i5p1118-d327373.html
   My bibliography  Save this article

Design of Heat-Pump Systems for Single- and Multi-Family Houses using a Heuristic Scheduling for the Optimization of PV Self-Consumption

Author

Listed:
  • Thomas Kemmler

    (Reutlingen Center for Energy Research (REZ), Reutlingen University, 72762 Reutlingen, Germany)

  • Bernd Thomas

    (Reutlingen Center for Energy Research (REZ), Reutlingen University, 72762 Reutlingen, Germany)

Abstract

Heat pumps in combination with a photovoltaic system are a very promising option for the transformation of the energy system. By using such a system for coupling the electricity and heat sectors, buildings can be heated sustainably and with low greenhouse gas emissions. This paper reveals a method for dimensioning a suitable system of heat pump and photovoltaics (PV) for residential buildings in order to achieve a high level of (photovoltaic) PV self-consumption. This is accomplished by utilizing a thermal energy storage (TES) for shifting the operation of the heat pump to times of high PV power production by an intelligent control algorithm, which yields a high portion of PV power directly utilized by the heat pump. In order to cover the existing set of building infrastructure, 4 reference buildings with different years of construction are introduced for both single- and multi-family residential buildings. By this means, older buildings with radiator heating as well as new buildings with floor heating systems are included. The simulations for evaluating the performance of a heat pump/PV system controlled by the novel algorithm for each type of building were carried out in MATLAB-Simulink ® 2017a. The results show that 25.3% up to 41.0% of the buildings’ electricity consumption including the heat pump can be covered directly from the PV-installation per year. Evidently, the characteristics of the heating system significantly influence the results: new buildings with floor heating and low supply temperatures yield a higher level of PV self-consumption due to a higher efficiency of the heat pump compared to buildings with radiator heating and higher supply temperatures. In addition, the effect of adding a battery to the system was studied for two building types. It will be shown that the degree of PV self-consumption increases in case a battery is present. However, due to the high investment costs of batteries, they do not pay off within a reasonable period.

Suggested Citation

  • Thomas Kemmler & Bernd Thomas, 2020. "Design of Heat-Pump Systems for Single- and Multi-Family Houses using a Heuristic Scheduling for the Optimization of PV Self-Consumption," Energies, MDPI, vol. 13(5), pages 1-18, March.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1118-:d:327373
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/5/1118/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/5/1118/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rashid, Khalid & Safdarnejad, Seyed Mostafa & Ellingwood, Kevin & Powell, Kody M., 2019. "Techno-economic evaluation of different hybridization schemes for a solar thermal/gas power plant," Energy, Elsevier, vol. 181(C), pages 91-106.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei, Zhichen & Calautit, John, 2023. "Predictive control of low-temperature heating system with passive thermal mass energy storage and photovoltaic system: Impact of occupancy patterns and climate change," Energy, Elsevier, vol. 269(C).
    2. Rafał Figaj & Maciej Żołądek & Wojciech Goryl, 2020. "Dynamic Simulation and Energy Economic Analysis of a Household Hybrid Ground-Solar-Wind System Using TRNSYS Software," Energies, MDPI, vol. 13(14), pages 1-27, July.
    3. Modawy Adam Ali Abdalla & Wang Min & Omer Abbaker Ahmed Mohammed, 2020. "Two-Stage Energy Management Strategy of EV and PV Integrated Smart Home to Minimize Electricity Cost and Flatten Power Load Profile," Energies, MDPI, vol. 13(23), pages 1-18, December.
    4. Krzysztof Nowak & Sławomir Rabczak, 2020. "Technical and Economic Analysis of the External Surface Heating System on the Example of a Car Park," Energies, MDPI, vol. 13(24), pages 1-15, December.
    5. Sebastian Pater, 2023. "Increasing Energy Self-Consumption in Residential Photovoltaic Systems with Heat Pumps in Poland," Energies, MDPI, vol. 16(10), pages 1-14, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vinod Kumar & Liqiang Duan, 2021. "Off-Design Dynamic Performance Analysis of a Solar Aided Coal-Fired Power Plant," Energies, MDPI, vol. 14(10), pages 1-16, May.
    2. Weiguang Su & Yilin Li & Tongyu Zhou & Jo Darkwa & Georgios Kokogiannakis & Zhao Li, 2019. "Microencapsulation of Paraffin with Poly (Urea Methacrylate) Shell for Solar Water Heater," Energies, MDPI, vol. 12(18), pages 1-9, September.
    3. Bame, Aaron T. & Furner, Joseph & Hoag, Ian & Mohammadi, Kasra & Powell, Kody & Iverson, Brian D., 2022. "Optimization of solar-coal hybridization for low solar augmentation," Applied Energy, Elsevier, vol. 319(C).
    4. Alfredo Nespoli & Andrea Matteri & Silvia Pretto & Luca De Ciechi & Emanuele Ogliari, 2021. "Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods," Forecasting, MDPI, vol. 3(4), pages 1-19, September.
    5. Iván Acosta-Pazmiño & Carlos Rivera-Solorio & Miguel Gijón-Rivera, 2020. "Energetic and Economic Analyses of an LCPV/T Solar Hybrid Plant for a Sports Center Building in Mexico," Energies, MDPI, vol. 13(21), pages 1-17, October.
    6. Emilia Koper & Andrzej Kochan, 2020. "Testing the Smooth Driving of a Train Using a Neural Network," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    7. Jawad Ahmad & Alessandro Ciocia & Stefania Fichera & Ali Faisal Murtaza & Filippo Spertino, 2019. "Detection of Typical Defects in Silicon Photovoltaic Modules and Application for Plants with Distributed MPPT Configuration," Energies, MDPI, vol. 12(23), pages 1-26, November.
    8. Ayman Temraz & Falah Alobaid & Jerome Link & Ahmed Elweteedy & Bernd Epple, 2021. "Development and Validation of a Dynamic Simulation Model for an Integrated Solar Combined Cycle Power Plant," Energies, MDPI, vol. 14(11), pages 1-23, June.
    9. Wei-Min Lin & Keh-Chin Chang & Kung-Ming Chung, 2019. "The Impact of Subsidy Programs for Solar Thermal Applications: A Case Study for a Remote Island," Energies, MDPI, vol. 12(20), pages 1-11, October.
    10. Braeuer, Fritz & Finck, Rafael & McKenna, Russell, 2020. "Comparing empirical and model-based approaches for calculating dynamic grid emission factors: An application to CO2-minimizing storage dispatch in Germany," Working Paper Series in Production and Energy 44, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    11. Icaro Figueiredo Vilasboas & Victor Gabriel Sousa Fagundes dos Santos & Vinicius Oliveira Braz de Morais & Armando Sá Ribeiro & Julio Augusto Mendes da Silva, 2022. "AERES: Thermodynamic and Economic Optimization Software for Hybrid Solar–Waste Heat Systems," Energies, MDPI, vol. 15(12), pages 1-14, June.
    12. Ellingwood, Kevin & Mohammadi, Kasra & Powell, Kody, 2020. "Dynamic optimization and economic evaluation of flexible heat integration in a hybrid concentrated solar power plant," Applied Energy, Elsevier, vol. 276(C).
    13. Rana Pratap Singh & Hans Peter Nachtnebel & Nadejda Komendantova, 2020. "Deployment of Hydropower in Nepal: Multiple Stakeholders’ Perspectives," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    14. Cristóbal Villasante & Saioa Herrero & Marcelino Sánchez & Iñigo Pagola & Adrian Peña & David Olasolo & Ana Bernardos, 2020. "Low-Cost Solar Electricity Using Stationary Solar Fields; Technology Potential and Practical Implementation Challenges to Be Overcome. Outcomes from H2020 MOSAIC Project," Energies, MDPI, vol. 13(7), pages 1-14, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1118-:d:327373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.