IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i22p5527-d1514336.html
   My bibliography  Save this article

Summer Energy Use and Comfort Analysis in Rural Chinese Dwellings: A Case Study of Low-Income Older Populations in Shandong

Author

Listed:
  • Di Yang

    (School of Architecture, Planning and Landscape, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Neveen Hamza

    (School of Architecture, Planning and Landscape, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Rose Gilroy

    (School of Architecture, Planning and Landscape, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

Abstract

This paper aims to investigate the indoor environmental conditions and energy use behaviours of older individuals in rural cold climates of China, with a specific focus on cooling practices during the summer months in the Shandong region. This study employs a mixed-method approach, combining quantitative indoor environmental monitoring with qualitative interviews and observations, to explore the relationship between environmental factors, household living conditions, and energy use patterns across five types of elderly households: three generations living together, older people living with grandchildren, older people living with children, older couples living together, and older people living alone. Data collection was conducted over five weeks during the summer of 2023 using HOBO UX100-003 data loggers, while external weather conditions were monitored by the China Meteorological Administration. Face-to-face interviews were conducted to gain deeper insights into daily cooling behaviours and energy use. The results reveal that cooling practices and indoor environmental conditions vary significantly among the different household types. Multigenerational households showed more complex energy use dynamics, with younger family members frequently operating high-energy appliances like air conditioners, while older individuals tended to rely on natural ventilation and electric fans to reduce energy costs. In contrast, older couples and solitary older individuals demonstrated more conservative cooling behaviours, often enduring higher indoor temperatures due to limited financial resources and a desire to minimize energy expenditures. Despite the high energy use intensity in some households, many homes failed to achieve comfortable indoor environments, particularly in dwellings with minimal insulation and older building materials. This study concludes that economic status, household structure, and building characteristics play crucial roles in shaping cooling behaviours and indoor comfort during the summer.

Suggested Citation

  • Di Yang & Neveen Hamza & Rose Gilroy, 2024. "Summer Energy Use and Comfort Analysis in Rural Chinese Dwellings: A Case Study of Low-Income Older Populations in Shandong," Energies, MDPI, vol. 17(22), pages 1-15, November.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5527-:d:1514336
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/22/5527/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/22/5527/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xin Tang & Hua Liao, 2014. "Energy poverty and solid fuels use in rural China: Analysis based on national population census," CEEP-BIT Working Papers 57, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Geng, Yuqing & Liu, Liwen & Chen, Lingyan, 2023. "Rural revitalization of China: A new framework, measurement and forecast," Socio-Economic Planning Sciences, Elsevier, vol. 89(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. Teng, Meixuan & Burke, Paul J. & Liao, Hua, 2019. "The demand for coal among China's rural households: Estimates of price and income elasticities," Energy Economics, Elsevier, vol. 80(C), pages 928-936.
    2. Li, Jiajia & Li, Houjian, 2022. "Spiritual support or living support: Which alleviates solid fuel use for rural households in ethnical minority regions of China?," Renewable Energy, Elsevier, vol. 189(C), pages 479-491.
    3. Yin, Zhichao & Wang, Rui & Wu, Xi, 2023. "Financial inclusion, natural disasters and energy poverty: Evidence from China," Energy Economics, Elsevier, vol. 126(C).
    4. Fu Wang & Hong Geng & Donglan Zha & Chaoqun Zhang, 2023. "Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 45-78, August.
    5. Xin, Baogui & Zhang, Tengda & Santibanez-Gonzalez, Ernesto D.R., 2024. "Synergistic effects of regional environmental governance on alleviating energy poverty and promoting household decarbonization," Energy Policy, Elsevier, vol. 185(C).
    6. Du, Juntao & Song, Malin & Xie, Bing, 2022. "Eliminating energy poverty in Chinese households: A cognitive capability framework," Renewable Energy, Elsevier, vol. 192(C), pages 373-384.
    7. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    8. Yang, Xiaojun & Xu, Jintao & Xu, Xiaojie & Yi, Yuanyuan & Hyde, William F., 2020. "Collective forest tenure reform and household energy consumption: A case study in Yunnan Province, China," China Economic Review, Elsevier, vol. 60(C).
    9. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    10. Li, Yunwei & Chen, Kui & Ding, Ruixin & Zhang, Jing & Hao, Yu, 2023. "How do photovoltaic poverty alleviation projects relieve household energy poverty? Evidence from China," Energy Economics, Elsevier, vol. 118(C).
    11. Meiyan Wang & Ying Xu & Runtian Shen & Yun Wu, 2024. "Performance-Oriented Parametric Optimization Design for Energy Efficiency of Rural Residential Buildings: A Case Study from China’s Hot Summer and Cold Winter Zone," Sustainability, MDPI, vol. 16(19), pages 1-30, September.
    12. Rafi, Muhammed & Naseef, Mohemmad & Prasad, Salu, 2021. "Multidimensional energy poverty and human capital development: Empirical evidence from India," Energy Economics, Elsevier, vol. 101(C).
    13. Sadath, Anver C. & Acharya, Rajesh H., 2017. "Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India," Energy Policy, Elsevier, vol. 102(C), pages 540-550.
    14. Tiwari, Sunil & Si Mohammed, Kamel & Guesmi, Khaled, 2023. "A way forward to end energy poverty in China: Role of carbon-cutting targets and net-zero commitments," Energy Policy, Elsevier, vol. 180(C).
    15. Ren, Yi-Shuai & Kuang, Xianhua & Klein, Tony, 2024. "Does the urban–rural income gap matter for rural energy poverty?," Energy Policy, Elsevier, vol. 186(C).
    16. Zhang, Lingyue & Li, Hui & Chen, Tianqi & Liao, Hua, 2022. "Health effects of cooking fuel transition: A dynamic perspective," Energy, Elsevier, vol. 251(C).
    17. Song, Yang & He, Yinghong & Sahut, Jean-Michel & Shah, Syed Hasanat, 2024. "Can low-carbon city pilot policy decrease urban energy poverty?," Energy Policy, Elsevier, vol. 186(C).
    18. Wang, Shaobin & Zhao, Chao & Liu, Hanbin & Tian, Xinglei, 2021. "Exploring the spatial spillover effects of low-grade coal consumption and influencing factors in China," Resources Policy, Elsevier, vol. 70(C).
    19. Li, Chao & Zhang, Yuhan & Li, Xiang & Hao, Yanwei, 2024. "Artificial intelligence, household financial fragility and energy resources consumption: Impacts of digital disruption from a demand-based perspective," Resources Policy, Elsevier, vol. 88(C).
    20. Oluwafemi Aladejuyigbe & Olawumi Dele Awolusi, 2021. "Global Energy Poverty: Nigeria as a Case Study," Information Management and Business Review, AMH International, vol. 13(3), pages 14-29.

    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:22:p:5527-:d:1514336. 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.