IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i11p2601-d1403813.html
   My bibliography  Save this article

Analysis of the Hybrid Power-Heating System in a Single-Family Building, along with Ecological Aspects of the Operation

Author

Listed:
  • Grzegorz Woroniak

    (HVAC Department, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland)

  • Joanna Piotrowska-Woroniak

    (HVAC Department, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland)

  • Anna Woroniak

    (III-th Highschool of K. K. Baczynski, Palacowa 2/1, 15-042 Bialystok, Poland)

  • Edyta Owczarek

    (Faculty of Production Engineering and Materials Technology, Czestochowa University of Technology, Armii Krajowej 19, 42-218 Czestochowa, Poland)

  • Krystyna Giza

    (Faculty of Production Engineering and Materials Technology, Czestochowa University of Technology, Armii Krajowej 19, 42-218 Czestochowa, Poland)

Abstract

This study evaluates a hybrid heating system in a single-family building in northeastern Poland, which has a temperate continental climate. The analysis covers two heating seasons in 2021/2022 and 2022/2023. The hybrid heating system includes an air heat pump HPA–08 CS Plus with a heating power of 8.2 kW (AHP), a condensing gas boiler VC146/5–5 with a power of 14 kW (GB–Condens.), and a solid fuel boiler with a power of 11 kW for central heating. Additionally, hot water is heated by a Basic 270 (DHW’s AHP) air–water heat pump with a power of 2 kW, utilizing a tank with a capacity of 270 dm 3 equipped with two heating coils. The building’s average electricity consumption is around 5400 kWh/year. A 4.96 kWp photovoltaic installation is installed on the building’s roof at a 40° angle towards the south to supplement the hybrid system. The study aims to assess whether the PV installation can adequately cover the energy needs of the hybrid heat source for heating and hot water. Furthermore, the study calculates the emission of pollutants (CO 2 , SO x , NO x , CO, and PM10) into the atmosphere. The total annual electricity production from PV installations was 5444.9 kWh in 2021/2022 and 5684.8 kWh in 2022/2023. The excess electricity was stored in the PGE power grid as per the Prosumer settlement rules. The installed PV installation is sufficient to power the following devices annually: AHP, DHW’s AHP, and GB–Condens. However, the daily electricity production from the PV installation is not enough to cover the energy needs of the heat pump for heating during the cold months in Poland (I–III, XI–XII). It can meet the power needs of a PC all year round and can also be stored during the summer months, for example, in energy warehouses or by directly storing it in the PGE power grid. The use of the PV installation resulted in an average reduction in pollutant emissions into the atmosphere: CO 2 —94.1%, SO x —91.8%, NO x —95.6%, CO—9.7%, and PM10—32.1%.

Suggested Citation

  • Grzegorz Woroniak & Joanna Piotrowska-Woroniak & Anna Woroniak & Edyta Owczarek & Krystyna Giza, 2024. "Analysis of the Hybrid Power-Heating System in a Single-Family Building, along with Ecological Aspects of the Operation," Energies, MDPI, vol. 17(11), pages 1-24, May.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2601-:d:1403813
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/11/2601/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/11/2601/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beccali, Marco & Bonomolo, Marina & Martorana, Francesca & Catrini, Pietro & Buscemi, Alessandro, 2022. "Electrical hybrid heat pumps assisted by natural gas boilers: a review," Applied Energy, Elsevier, vol. 322(C).
    2. Alicja Kolasa-Więcek & Dariusz Suszanowicz & Agnieszka A. Pilarska & Krzysztof Pilarski, 2021. "Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland," Energies, MDPI, vol. 14(21), pages 1-14, October.
    3. Paulina Traczyk & Agnieszka Gruszecka-Kosowska, 2020. "The Condition of Air Pollution in Kraków, Poland, in 2005–2020, with Health Risk Assessment," IJERPH, MDPI, vol. 17(17), pages 1-22, August.
    4. Mayer, Martin János & Gróf, Gyula, 2021. "Extensive comparison of physical models for photovoltaic power forecasting," Applied Energy, Elsevier, vol. 283(C).
    5. Wojciech Nazar & Katarzyna Plata-Nazar, 2021. "Changes in Air Pollution-Related Behaviour Measured by Google Trends Search Volume Index in Response to Reported Air Quality in Poland," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    6. Herrando, M. & Coca-Ortegón, A. & Guedea, I. & Fueyo, N., 2023. "Experimental validation of a solar system based on hybrid photovoltaic-thermal collectors and a reversible heat pump for the energy provision in non-residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    Full references (including those not matched with items on IDEAS)

    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. Wojciech Nazar & Marek Niedoszytko, 2022. "Air Pollution in Poland: A 2022 Narrative Review with Focus on Respiratory Diseases," IJERPH, MDPI, vol. 19(2), pages 1-20, January.
    2. Mayer, Martin János & Yang, Dazhi & Szintai, Balázs, 2023. "Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME," Applied Energy, Elsevier, vol. 352(C).
    3. Mohamed Massaoudi & Ines Chihi & Lilia Sidhom & Mohamed Trabelsi & Shady S. Refaat & Fakhreddine S. Oueslati, 2021. "Enhanced Random Forest Model for Robust Short-Term Photovoltaic Power Forecasting Using Weather Measurements," Energies, MDPI, vol. 14(13), pages 1-20, July.
    4. Mayer, Martin János & Yang, Dazhi, 2023. "Calibration of deterministic NWP forecasts and its impact on verification," International Journal of Forecasting, Elsevier, vol. 39(2), pages 981-991.
    5. Yu, Min & Niu, Dongxiao & Wang, Keke & Du, Ruoyun & Yu, Xiaoyu & Sun, Lijie & Wang, Feiran, 2023. "Short-term photovoltaic power point-interval forecasting based on double-layer decomposition and WOA-BiLSTM-Attention and considering weather classification," Energy, Elsevier, vol. 275(C).
    6. Cabello-López, Tomás & Carranza-García, Manuel & Riquelme, José C. & García-Gutiérrez, Jorge, 2023. "Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level," Applied Energy, Elsevier, vol. 350(C).
    7. Anderson Mitterhofer Iung & Fernando Luiz Cyrino Oliveira & André Luís Marques Marcato, 2023. "A Review on Modeling Variable Renewable Energy: Complementarity and Spatial–Temporal Dependence," Energies, MDPI, vol. 16(3), pages 1-24, January.
    8. Yoon, Y. & Jung, S. & Im, P. & Salonvaara, M. & Bhandari, M. & Kunwar, N., 2023. "Empirical validation of building energy simulation model input parameter for multizone commercial building during the cooling season," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    9. Huang, Songtao & Zhou, Qingguo & Shen, Jun & Zhou, Heng & Yong, Binbin, 2024. "Multistage spatio-temporal attention network based on NODE for short-term PV power forecasting," Energy, Elsevier, vol. 290(C).
    10. Huang, Yan & Ju, Yuntao & Ma, Kang & Short, Michael & Chen, Tao & Zhang, Ruosi & Lin, Yi, 2022. "Three-phase optimal power flow for networked microgrids based on semidefinite programming convex relaxation," Applied Energy, Elsevier, vol. 305(C).
    11. Mayer, Martin János & Yang, Dazhi, 2023. "Pairing ensemble numerical weather prediction with ensemble physical model chain for probabilistic photovoltaic power forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    12. Ian B. Benitez & Jessa A. Ibañez & Cenon III D. Lumabad & Jayson M. Cañete & Jeark A. Principe, 2023. "Day-Ahead Hourly Solar Photovoltaic Output Forecasting Using SARIMAX, Long Short-Term Memory, and Extreme Gradient Boosting: Case of the Philippines," Energies, MDPI, vol. 16(23), pages 1-21, November.
    13. Liang Xiao & Yong Zhou & He Huang & Yu-Jie Liu & Ke Li & Meng-Yao Li & Yang Tian & Fei Wu, 2020. "Application of Geostatistical Analysis and Random Forest for Source Analysis and Human Health Risk Assessment of Potentially Toxic Elements (PTEs) in Arable Land Soil," IJERPH, MDPI, vol. 17(24), pages 1-19, December.
    14. Louzazni, Mohamed & Al-Dahidi, Sameer, 2021. "Approximation of photovoltaic characteristics curves using Bézier Curve," Renewable Energy, Elsevier, vol. 174(C), pages 715-732.
    15. Andi A. H. Lateko & Hong-Tzer Yang & Chao-Ming Huang, 2022. "Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method," Energies, MDPI, vol. 15(11), pages 1-21, June.
    16. Jonkers, Jef & Avendano, Diego Nieves & Van Wallendael, Glenn & Van Hoecke, Sofie, 2024. "A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests," Applied Energy, Elsevier, vol. 361(C).
    17. Wang, Min & Rao, Congjun & Xiao, Xinping & Hu, Zhuo & Goh, Mark, 2024. "Efficient shrinkage temporal convolutional network model for photovoltaic power prediction," Energy, Elsevier, vol. 297(C).
    18. Huang, Congzhi & Yang, Mengyuan, 2023. "Memory long and short term time series network for ultra-short-term photovoltaic power forecasting," Energy, Elsevier, vol. 279(C).
    19. Latifa A. Yousef & Hibba Yousef & Lisandra Rocha-Meneses, 2023. "Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions," Energies, MDPI, vol. 16(24), pages 1-27, December.
    20. Yuan-Kang Wu & Cheng-Liang Huang & Quoc-Thang Phan & Yuan-Yao Li, 2022. "Completed Review of Various Solar Power Forecasting Techniques Considering Different Viewpoints," Energies, MDPI, vol. 15(9), pages 1-22, May.

    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:17:y:2024:i:11:p:2601-:d:1403813. 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.