IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2020i1p40-d466965.html
   My bibliography  Save this article

A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling

Author

Listed:
  • Yuanzheng Li

    (School of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China
    Academician Laboratory for Urban and Rural Spatial Data Mining of Henan Province, Zhengzhou 450046, China)

  • Wenjing Wang

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Yating Wang

    (Chengdu Academy of Environmental Sciences, Chengdu 610072, China)

  • Yashu Xin

    (School of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Tian He

    (School of Water Conservancy and Environment, Zhengzhou University, Zhengzhou 450001, China)

  • Guosong Zhao

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The world is faced with significant climate change, rapid urbanization, massive energy consumption, and tremendous pressure to reduce greenhouse gases. Building heating and cooling is one primary source of energy consumption and anthropogenic carbon dioxide emissions. First, this review presents previous studies that estimate the specific amount of climate change impact on building heating and cooling energy consumption, using the statistical method, physical model method, comprehensive assessment model method, and the combination method of statistical and physical model methods. Then, because the heating and cooling degree days indices can simply and reliably indicate the effects of climate on building heating and cooling energy consumption, previous studies were reviewed from the aspects of heating and cooling degree days indices, regional spatial-temporal variations in degree days and related indices, influencing factors of the spatial distributions of degree days, and the impacts of urbanization on degree days. Finally, several potential key issues or research directions were presented according to the research gaps or fields that need to be studied further in the future, such as developing methods to simply and accurately estimate the specified amounts of climate change impact on building cooling and heating energy consumption; using more effective methods to analyze the daytime, nighttime, and all-day spatial-temporal changes in different seasons in the past and future under various environment contexts by considering not only the air temperature but also the relative humidity, solar radiation, population, etc., and further exploring the corresponding more kinds of driving forces, including the various remotely sensed indices, albedo, nighttime light intensity, etc.; estimating the daytime, nighttime, and all-day impacts of urbanization on heating degree days (HDDs), cooling degree days (CDDs), and their sum (HDDs + CDDs) for vast cities in different environmental contexts at the station site, city, regional and global scales; producing and sharing of the related datasets; and analyzing the subsequent effects induced by climate change on the energy consumption for building heating and cooling, etc.

Suggested Citation

  • Yuanzheng Li & Wenjing Wang & Yating Wang & Yashu Xin & Tian He & Guosong Zhao, 2020. "A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling," IJERPH, MDPI, vol. 18(1), pages 1-18, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2020:i:1:p:40-:d:466965
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/1/40/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/1/40/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zinzi, Michele & Carnielo, Emiliano & Mattoni, Benedetta, 2018. "On the relation between urban climate and energy performance of buildings. A three-years experience in Rome, Italy," Applied Energy, Elsevier, vol. 221(C), pages 148-160.
    2. Zhu, Dan & Tao, Shu & Wang, Rong & Shen, Huizhong & Huang, Ye & Shen, Guofeng & Wang, Bin & Li, Wei & Zhang, Yanyan & Chen, Han & Chen, Yuanchen & Liu, Junfeng & Li, Bengang & Wang, Xilong & Liu, Wenx, 2013. "Temporal and spatial trends of residential energy consumption and air pollutant emissions in China," Applied Energy, Elsevier, vol. 106(C), pages 17-24.
    3. Olonscheck, Mady & Walther, Carsten & Lüdeke, Matthias & Kropp, Jürgen P., 2015. "Feasibility of energy reduction targets under climate change: The case of the residential heating energy sector of the Netherlands," Energy, Elsevier, vol. 90(P1), pages 560-569.
    4. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    5. Morakinyo, Tobi Eniolu & Ren, Chao & Shi, Yuan & Lau, Kevin Ka-Lun & Tong, Hang-Wai & Choy, Chun-Wing & Ng, Edward, 2019. "Estimates of the impact of extreme heat events on cooling energy demand in Hong Kong," Renewable Energy, Elsevier, vol. 142(C), pages 73-84.
    6. Wan, Kevin K.W. & Li, Danny H.W. & Lam, Joseph C., 2011. "Assessment of climate change impact on building energy use and mitigation measures in subtropical climates," Energy, Elsevier, vol. 36(3), pages 1404-1414.
    7. Atalla, Tarek & Gualdi, Silvio & Lanza, Alessandro, 2018. "A global degree days database for energy-related applications," Energy, Elsevier, vol. 143(C), pages 1048-1055.
    8. Janet L. Reyna & Mikhail V. Chester, 2017. "Energy efficiency to reduce residential electricity and natural gas use under climate change," Nature Communications, Nature, vol. 8(1), pages 1-12, August.
    9. Li, Xian-Xiang, 2018. "Linking residential electricity consumption and outdoor climate in a tropical city," Energy, Elsevier, vol. 157(C), pages 734-743.
    10. Wan, Kevin K.W. & Li, Danny H.W. & Pan, Wenyan & Lam, Joseph C., 2012. "Impact of climate change on building energy use in different climate zones and mitigation and adaptation implications," Applied Energy, Elsevier, vol. 97(C), pages 274-282.
    11. Tyralis, Hristos & Karakatsanis, Georgios & Tzouka, Katerina & Mamassis, Nikos, 2017. "Exploratory data analysis of the electrical energy demand in the time domain in Greece," Energy, Elsevier, vol. 134(C), pages 902-918.
    12. Li, Canbing & Zhou, Jinju & Cao, Yijia & Zhong, Jin & Liu, Yu & Kang, Chongqing & Tan, Yi, 2014. "Interaction between urban microclimate and electric air-conditioning energy consumption during high temperature season," Applied Energy, Elsevier, vol. 117(C), pages 149-156.
    13. Waite, Michael & Cohen, Elliot & Torbey, Henri & Piccirilli, Michael & Tian, Yu & Modi, Vijay, 2017. "Global trends in urban electricity demands for cooling and heating," Energy, Elsevier, vol. 127(C), pages 786-802.
    14. Fikru, Mahelet G. & Gautier, Luis, 2015. "The impact of weather variation on energy consumption in residential houses," Applied Energy, Elsevier, vol. 144(C), pages 19-30.
    15. Yu, Sha & Eom, Jiyong & Zhou, Yuyu & Evans, Meredydd & Clarke, Leon, 2014. "Scenarios of building energy demand for China with a detailed regional representation," Energy, Elsevier, vol. 67(C), pages 284-297.
    16. Sivak, Michael, 2009. "Potential energy demand for cooling in the 50 largest metropolitan areas of the world: Implications for developing countries," Energy Policy, Elsevier, vol. 37(4), pages 1382-1384, April.
    17. Eshita Gupta, 2016. "The Effect Of Development On The Climate Sensitivity Of Electricity Demand In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-49, May.
    18. Ang, B.W. & Wang, H. & Ma, Xiaojing, 2017. "Climatic influence on electricity consumption: The case of Singapore and Hong Kong," Energy, Elsevier, vol. 127(C), pages 534-543.
    19. Ramakrishnan, Sayanthan & Wang, Xiaoming & Sanjayan, Jay & Wilson, John, 2017. "Thermal performance of buildings integrated with phase change materials to reduce heat stress risks during extreme heatwave events," Applied Energy, Elsevier, vol. 194(C), pages 410-421.
    20. Costa, Andrea & Keane, Marcus M. & Torrens, J. Ignacio & Corry, Edward, 2013. "Building operation and energy performance: Monitoring, analysis and optimisation toolkit," Applied Energy, Elsevier, vol. 101(C), pages 310-316.
    21. Abu Reza Md. Towfiqul Islam & Itmam Ahmed & Md. Siddiqur Rahman, 2020. "Trends in cooling and heating degree-days overtimes in Bangladesh? An investigation of the possible causes of changes," 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. 101(3), pages 879-909, April.
    22. Véliz, Karina D. & Kaufmann, Robert K. & Cleveland, Cutler J. & Stoner, Anne M.K., 2017. "The effect of climate change on electricity expenditures in Massachusetts," Energy Policy, Elsevier, vol. 106(C), pages 1-11.
    23. Zhou, Yuyu & Clarke, Leon & Eom, Jiyong & Kyle, Page & Patel, Pralit & Kim, Son H. & Dirks, James & Jensen, Erik & Liu, Ying & Rice, Jennie & Schmidt, Laurel & Seiple, Timothy, 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework," Applied Energy, Elsevier, vol. 113(C), pages 1077-1088.
    24. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    25. Lam, Joseph C. & Wan, Kevin K.W. & Lam, Tony N.T. & Wong, S.L., 2010. "An analysis of future building energy use in subtropical Hong Kong," Energy, Elsevier, vol. 35(3), pages 1482-1490.
    26. Yuyu Zhou & Jiyong Eom & Leon Clarke, 2013. "The effect of global climate change, population distribution, and climate mitigation on building energy use in the U.S. and China," Climatic Change, Springer, vol. 119(3), pages 979-992, August.
    27. Léopold T. Biardeau & Lucas W. Davis & Paul Gertler & Catherine Wolfram, 2020. "Heat exposure and global air conditioning," Nature Sustainability, Nature, vol. 3(1), pages 25-28, January.
    28. Karin Lundgren Kownacki & Chuansi Gao & Kalev Kuklane & Aneta Wierzbicka, 2019. "Heat Stress in Indoor Environments of Scandinavian Urban Areas: A Literature Review," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    29. Reza Fazeli & Brynhildur Davidsdottir & Jonas Hlynur Hallgrimsson, 2016. "Climate Impact On Energy Demand For Space Heating In Iceland," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-23, May.
    30. Jovanović, Saša & Savić, Slobodan & Bojić, Milorad & Djordjević, Zorica & Nikolić, Danijela, 2015. "The impact of the mean daily air temperature change on electricity consumption," Energy, Elsevier, vol. 88(C), pages 604-609.
    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. Yuanzheng Li & Jinyuan Li & Ao Xu & Zhizhi Feng & Chanjuan Hu & Guosong Zhao, 2021. "Spatial-Temporal Changes and Associated Determinants of Global Heating Degree Days," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
    2. Dirks, James A. & Gorrissen, Willy J. & Hathaway, John H. & Skorski, Daniel C. & Scott, Michael J. & Pulsipher, Trenton C. & Huang, Maoyi & Liu, Ying & Rice, Jennie S., 2015. "Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach," Energy, Elsevier, vol. 79(C), pages 20-32.
    3. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    4. Filippo Pavanello & Enrica Cian & Marinella Davide & Malcolm Mistry & Talita Cruz & Paula Bezerra & Dattakiran Jagu & Sebastian Renner & Roberto Schaeffer & André F. P. Lucena, 2021. "Air-conditioning and the adaptation cooling deficit in emerging economies," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    5. Wenliang Li, 2020. "Quantifying the Building Energy Dynamics of Manhattan, New York City, Using an Urban Building Energy Model and Localized Weather Data," Energies, MDPI, vol. 13(12), pages 1-22, June.
    6. Olonscheck, Mady & Walther, Carsten & Lüdeke, Matthias & Kropp, Jürgen P., 2015. "Feasibility of energy reduction targets under climate change: The case of the residential heating energy sector of the Netherlands," Energy, Elsevier, vol. 90(P1), pages 560-569.
    7. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
    8. Huang, Jianhua & Gurney, Kevin Robert, 2016. "The variation of climate change impact on building energy consumption to building type and spatiotemporal scale," Energy, Elsevier, vol. 111(C), pages 137-153.
    9. Chen, Han & Huang, Ye & Shen, Huizhong & Chen, Yilin & Ru, Muye & Chen, Yuanchen & Lin, Nan & Su, Shu & Zhuo, Shaojie & Zhong, Qirui & Wang, Xilong & Liu, Junfeng & Li, Bengang & Tao, Shu, 2016. "Modeling temporal variations in global residential energy consumption and pollutant emissions," Applied Energy, Elsevier, vol. 184(C), pages 820-829.
    10. Hartin, Corinne & Link, Robert & Patel, Pralit & Mundra, Anupriya & Horowitz, Russell & Dorheim, Kalyn & Clarke, Leon, 2021. "Integrated modeling of human-earth system interactions: An application of GCAM-fusion," Energy Economics, Elsevier, vol. 103(C).
    11. Shi, Luyang & Luo, Zhiwen & Matthews, Wendy & Wang, Zixuan & Li, Yuguo & Liu, Jing, 2019. "Impacts of urban microclimate on summertime sensible and latent energy demand for cooling in residential buildings of Hong Kong," Energy, Elsevier, vol. 189(C).
    12. Meng, Fanchao & Zhang, Lei & Ren, Guoyu & Zhang, Ruixue, 2023. "Impacts of UHI on variations in cooling loads in buildings during heatwaves: A case study of Beijing and Tianjin, China," Energy, Elsevier, vol. 273(C).
    13. Jones, Andrew & Nock, Destenie & Samaras, Constantine & Qiu, Yueming (Lucy) & Xing, Bo, 2023. "Climate change impacts on future residential electricity consumption and energy burden: A case study in Phoenix, Arizona," Energy Policy, Elsevier, vol. 183(C).
    14. Tarroja, Brian & Chiang, Felicia & AghaKouchak, Amir & Samuelsen, Scott & Raghavan, Shuba V. & Wei, Max & Sun, Kaiyu & Hong, Tianzhen, 2018. "Translating climate change and heating system electrification impacts on building energy use to future greenhouse gas emissions and electric grid capacity requirements in California," Applied Energy, Elsevier, vol. 225(C), pages 522-534.
    15. James McFarland & Yuyu Zhou & Leon Clarke & Patrick Sullivan & Jesse Colman & Wendy Jaglom & Michelle Colley & Pralit Patel & Jiyon Eom & Son Kim & G. Kyle & Peter Schultz & Boddu Venkatesh & Juanita , 2015. "Impacts of rising air temperatures and emissions mitigation on electricity demand and supply in the United States: a multi-model comparison," Climatic Change, Springer, vol. 131(1), pages 111-125, July.
    16. Jaglom, Wendy S. & McFarland, James R. & Colley, Michelle F. & Mack, Charlotte B. & Venkatesh, Boddu & Miller, Rawlings L. & Haydel, Juanita & Schultz, Peter A. & Perkins, Bill & Casola, Joseph H. & M, 2014. "Assessment of projected temperature impacts from climate change on the U.S. electric power sector using the Integrated Planning Model®," Energy Policy, Elsevier, vol. 73(C), pages 524-539.
    17. Zheng, Yuanfan & Weng, Qihao, 2019. "Modeling the effect of climate change on building energy demand in Los Angeles county by using a GIS-based high spatial- and temporal-resolution approach," Energy, Elsevier, vol. 176(C), pages 641-655.
    18. Salari, Mahmoud & Javid, Roxana J., 2017. "Modeling household energy expenditure in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 822-832.
    19. Chung, Mo & Park, Hwa-Choon, 2015. "Comparison of building energy demand for hotels, hospitals, and offices in Korea," Energy, Elsevier, vol. 92(P3), pages 383-393.
    20. Tamer, Tolga & Gürsel Dino, Ipek & Meral Akgül, Cagla, 2022. "Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).

    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:jijerp:v:18:y:2020:i:1:p:40-:d:466965. 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.