IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i23p4549-d292218.html
   My bibliography  Save this article

Case Study of Thermal Diagnostics of Single-Family House in Temperate Climate

Author

Listed:
  • Aleksandra Specjał

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

  • Aleksandra Lipczyńska

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

  • Maria Hurnik

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

  • Małgorzata Król

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

  • Agnieszka Palmowska

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

  • Zbigniew Popiołek

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, Poland)

Abstract

Reduction of the primary energy consumption is a crucial challenge for the building sector due to economic and environmental issues. Substantial savings could be achieved within the household. In this paper, we investigate the energy performance of a single-family house located in the temperate climate. The assessment is based on the comprehensive thermal diagnostic of the building performed on-site and via computational analyses. The on-site measurements included diagnostics of the building envelope, heat source, heating and domestic hot water system, ventilation system, and indoor environmental quality. Analyses confirmed that the studied building, which was built in 2008, meets the legislation requirements for the primary energy usage at that time and nowadays. However, results show discrepancies between energy performance obtained through on-site measurements and computational methods following regulations. Partially, discrepancies are a result of differences on normative values and how the building is operated in practice. It is also showed how important the role in the assessment of energy consumption through measurements is played by the measurement period.

Suggested Citation

  • Aleksandra Specjał & Aleksandra Lipczyńska & Maria Hurnik & Małgorzata Król & Agnieszka Palmowska & Zbigniew Popiołek, 2019. "Case Study of Thermal Diagnostics of Single-Family House in Temperate Climate," Energies, MDPI, vol. 12(23), pages 1-20, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4549-:d:292218
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/23/4549/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/23/4549/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    2. López-González, Luis M. & López-Ochoa, Luis M. & Las-Heras-Casas, Jesús & García-Lozano, César, 2018. "Final and primary energy consumption of the residential sector in Spain and La Rioja (1991–2013), verifying the degree of compliance with the European 2020 goals by means of energy indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2358-2370.
    3. Joanna Ferdyn-Grygierek & Dorota Bartosz & Aleksandra Specjał & Krzysztof Grygierek, 2018. "Analysis of Accuracy Determination of the Seasonal Heat Demand in Buildings Based on Short Measurement Periods," Energies, MDPI, vol. 11(10), pages 1-19, October.
    4. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2019. "Optimal design of renewable energy solution sets for net zero energy buildings," Energy, Elsevier, vol. 179(C), pages 1155-1175.
    5. Audenaert, A. & Briffaerts, K. & Engels, L., 2011. "Practical versus theoretical domestic energy consumption for space heating," Energy Policy, Elsevier, vol. 39(9), pages 5219-5227, September.
    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. Michał Kaczmarczyk & Anna Sowiżdżał & Barbara Tomaszewska, 2020. "Energetic and Environmental Aspects of Individual Heat Generation for Sustainable Development at a Local Scale—A Case Study from Poland," Energies, MDPI, vol. 13(2), pages 1-16, January.
    2. Krzysztof Księżopolski & Mirosław Drygas & Kamila Pronińska & Iwona Nurzyńska, 2020. "The Economic Effects of New Patterns of Energy Efficiency and Heat Sources in Rural Single-Family Houses in Poland," Energies, MDPI, vol. 13(23), pages 1-19, December.
    3. Piotr Ciuman & Jan Kaczmarczyk, 2021. "Numerical Analysis of the Energy Consumption of Ventilation Processes in the School Swimming Pool," Energies, MDPI, vol. 14(4), pages 1-18, February.
    4. Dominika Matuszewska & Marta Kuta & Piotr Olczak, 2020. "Techno-Economic Assessment of Mobilized Thermal Energy Storage System Using Geothermal Source in Polish Conditions," Energies, MDPI, vol. 13(13), pages 1-24, July.

    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. Qiucheng Li & Jiang Hu & Bolin Yu, 2021. "Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China," Energies, MDPI, vol. 14(13), pages 1-17, June.
    2. Zheng, Guozhong & Wang, Xiao, 2020. "The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method," Energy, Elsevier, vol. 193(C).
    3. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    4. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    5. Miguel-Angel Perea-Moreno & Quetzalcoatl Hernandez-Escobedo & Fernando Rueda-Martinez & Alberto-Jesus Perea-Moreno, 2020. "Zapote Seed ( Pouteria mammosa L. ) Valorization for Thermal Energy Generation in Tropical Climates," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    6. López-Ochoa, Luis M. & Las-Heras-Casas, Jesús & López-González, Luis M. & Olasolo-Alonso, Pablo, 2019. "Towards nearly zero-energy buildings in Mediterranean countries: Energy Performance of Buildings Directive evolution and the energy rehabilitation challenge in the Spanish residential sector," Energy, Elsevier, vol. 176(C), pages 335-352.
    7. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.
    8. Brown, Marilyn A. & Gumerman, Etan & Sun, Xiaojing & Sercy, Kenneth & Kim, Gyungwon, 2012. "Myths and facts about electricity in the U.S. South," Energy Policy, Elsevier, vol. 40(C), pages 231-241.
    9. Liu, Liwei & Ye, Junhong & Zhao, Yufei & Zhao, Erdong, 2015. "The plight of the biomass power generation industry in China – A supply chain risk perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 680-692.
    10. Mustafa S. Al-Tekreeti & Salwa M. Beheiry & Vian Ahmed, 2022. "Commitment Indicators for Tracking Sustainable Design Decisions in Construction Projects," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    11. Gigih Rahmandhani Setyantho & Hansaem Park & Seongju Chang, 2021. "Multi-Criteria Performance Assessment for Semi-Transparent Photovoltaic Windows in Different Climate Contexts," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    12. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    13. Li, Meng & Jin, Tianyu & Liu, Shenglong & Zhou, Shaojie, 2021. "The cost of clean energy transition in rural China: Evidence based on marginal treatment effects," Energy Economics, Elsevier, vol. 97(C).
    14. Piotr Ciuman & Jan Kaczmarczyk, 2021. "Numerical Analysis of the Energy Consumption of Ventilation Processes in the School Swimming Pool," Energies, MDPI, vol. 14(4), pages 1-18, February.
    15. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    16. Sun, Xiaoqi & Liu, Xiaojia, 2020. "Decomposition analysis of debt’s impact on China’s energy consumption," Energy Policy, Elsevier, vol. 146(C).
    17. Qian Wang & Qiao-Mei Liang & Bing Wang & Fang-Xun Zhong, 2016. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 353-379, November.
    18. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    19. Qingsong Wang & Ping Liu & Xueliang Yuan & Xingxing Cheng & Rujian Ma & Ruimin Mu & Jian Zuo, 2015. "Structural Evolution of Household Energy Consumption: A China Study," Sustainability, MDPI, vol. 7(4), pages 1-14, April.
    20. Sebestyénné Szép, Tekla, 2018. "A hatósági árcsökkentés lakossági energiafelhasználásra gyakorolt hatásának vizsgálata indexdekompozícióval [Analysing the effects of utility-cost reduction on household energy consumption, using i," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 185-205.

    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:12:y:2019:i:23:p:4549-:d:292218. 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.