IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i14p6359-d1699496.html

Optimizing Residential Energy Usage with Smart Devices: A Case Study on Energy Efficiency and Environmental Sustainability

Author

Listed:
  • Nat Weerawan

    (Program in Integrated Science, Multidisciplinary and Interdisciplinary School, Chiang Mai University, Muang, Chiang Mai 50200, Thailand)

  • Phuchiwan Suriyawong

    (Research Unit for Energy Economics & Ecological management, Multidisciplinary Research Institute, Chiang Mai University, Muang, Chiang Mai 50200, Thailand)

  • Hisam Samae

    (Research Unit for Energy Economics & Ecological management, Multidisciplinary Research Institute, Chiang Mai University, Muang, Chiang Mai 50200, Thailand)

  • Sate Sampattagul

    (Research Unit for Energy Economics & Ecological management, Multidisciplinary Research Institute, Chiang Mai University, Muang, Chiang Mai 50200, Thailand
    Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Muang, Chiang Mai 50200, Thailand)

  • Worradorn Phairuang

    (Department of Geography, Faculty of Social Sciences, Chiang Mai University, Muang, Chiang Mai 50200, Thailand)

Abstract

In this study, we examined the impact of an intelligent system and air conditioning control on power consumption. The experiment was carried out during five distinct time periods: (1) background room usage, (2) smart system setup, (3) air conditioning control to maintain room temperature at no more than 27 °C, (4) air conditioning temperature control during working hours, and (5) air conditioning operated continuously to maintain the room temperature at 27 °C. For each time period, the daily power consumption was evaluated, and outliers were identified and eliminated using a threshold derived from the hourly average. The findings demonstrated that the smart system setup period and air conditioning control resulted in lower usage compared to continuously operated air conditioning with substantial spikes in demand. The impacts of the novel system and air conditioning control on energy consumption were revealed through statistical analysis, which included regression models and hypothesis tests. According to this study’s findings, it is essential to regulate spikes and guarantee proper operation to reduce the carbon footprint while maintaining a comfortable atmosphere. Notably, the integration of the smart system and optimized scheduling resulted in a substantial decrease in greenhouse gas emissions, with annual carbon emissions reduced by up to 65% compared to continuously operated air conditioning without smart control. Moreover, these systems can optimize energy use.

Suggested Citation

  • Nat Weerawan & Phuchiwan Suriyawong & Hisam Samae & Sate Sampattagul & Worradorn Phairuang, 2025. "Optimizing Residential Energy Usage with Smart Devices: A Case Study on Energy Efficiency and Environmental Sustainability," Sustainability, MDPI, vol. 17(14), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6359-:d:1699496
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/14/6359/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/14/6359/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rapson, David, 2014. "Durable goods and long-run electricity demand: Evidence from air conditioner purchase behavior," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 141-160.
    2. Ivan Ferretti & Beatrice Marchi & Simone Zanoni & Lucio Enrico Zavanella, 2023. "Analysis of Temperature Control Strategy on Energy Consumption in Buildings with Intermittent Occupancy," Energies, MDPI, vol. 16(3), pages 1-21, January.
    3. Muhammad Abbas Khan & Ijaz Ahmad & Anis Nurashikin Nordin & A. El-Sayed Ahmed & Hiren Mewada & Yousef Ibrahim Daradkeh & Saim Rasheed & Elsayed Tag Eldin & Muhammad Shafiq, 2022. "Smart Android Based Home Automation System Using Internet of Things (IoT)," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    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. Hindriks, Jean & Serse, Valerio, 2022. "The incidence of VAT reforms in electricity markets: Evidence from Belgium," International Journal of Industrial Organization, Elsevier, vol. 80(C).
    2. François Cohen & Matthieu Glachant & Magnus Söderberg, 2017. "The cost of adapting to climate change: evidence from the US residential sector," Working Papers hal-01695171, HAL.
    3. Jacobsen, Grant D., 2015. "Do energy prices influence investment in energy efficiency? Evidence from energy star appliances," Journal of Environmental Economics and Management, Elsevier, vol. 74(C), pages 94-106.
    4. Paul J. Gertler & Orie Shelef & Catherine D. Wolfram & Alan Fuchs, 2016. "The Demand for Energy-Using Assets among the World's Rising Middle Classes," American Economic Review, American Economic Association, vol. 106(6), pages 1366-1401, June.
    5. Christine L. Carroll & Colin A. Carter & Rachael E. Goodhue & C.-Y. Cynthia Lin Lawell, 2017. "Crop Disease and Agricultural Productivity," NBER Working Papers 23513, National Bureau of Economic Research, Inc.
    6. Houde, Sébastien & Myers, Erica, 2021. "Are consumers attentive to local energy costs? Evidence from the appliance market," Journal of Public Economics, Elsevier, vol. 201(C).
    7. Sahari, Anna, 2019. "Electricity prices and consumers’ long-term technology choices: Evidence from heating investments," European Economic Review, Elsevier, vol. 114(C), pages 19-53.
    8. Jian Cui & Lunyu Xie & Xinye Zheng, 2023. "Climate change, air conditioning, and urbanization—evidence from daily household electricity consumption data in China," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
    9. Bonan, Jacopo & Cattaneo, Cristina & d’Adda, Giovanna & Tavoni, Massimo, 2024. "Heat of the Moment: How Temperature Influences the Search and Purchase of Energy-Using Appliances," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    10. L. (Lisa B.) Ryan & Sarah La Monaca & Linda Mastrandrea & Petr Spodniak, 2018. "Harnessing Electricity Retail Tariffs to Support Climate Change Policy," Working Papers 201822, School of Economics, University College Dublin.
    11. Sears, Louis S. & Lin Lawell, C.-Y. Cynthia & Walter, M. Todd, 2020. "Groundwater Under Open Access: A Structural Model of the Dynamic Common Pool Extraction Game," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304276, Agricultural and Applied Economics Association.
    12. Kheiravar, Khaled H, 2019. "Economic and Econometric Analyses of the World Petroleum Industry, Energy Subsidies, and Air Pollution," Institute of Transportation Studies, Working Paper Series qt3gj151w9, Institute of Transportation Studies, UC Davis.
    13. Hancevic, Pedro Ignacio & Lopez-Aguilar, Javier Alejandro, 2019. "Energy efficiency programs in the context of increasing block tariffs: The case of residential electricity in Mexico," Energy Policy, Elsevier, vol. 131(C), pages 320-331.
    14. repec:bcp:journl:v:9:y:2025:i:10:p:8763-8775 is not listed on IDEAS
    15. Suchita Srinivasan, 2023. "Social Policies and Adaptation to Extreme Weather: Evidence from South Africa," CER-ETH Economics working paper series 23/381, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    16. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review," Energies, MDPI, vol. 16(6), pages 1-23, March.
    17. Lucas W. Davis, 2024. "The Economic Determinants of Heat Pump Adoption," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 5(1), pages 162-199.
    18. Zhang, Xiao-Bing & Fei, Yinxin & Duan, Hongbo & Soytas, Ugur & Crifo, Patricia & Sterner, Thomas, 2025. "Implicit discount rates and energy efficiency gap in air conditioning: Evidence from the Chinese market," Resource and Energy Economics, Elsevier, vol. 82(C).
    19. Anne Kesselring, 2023. "Willingness-to-Pay for Energy Efficiency: Evidence from the European Common Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 893-945, December.
    20. Jiaxing Wang & Makoto Sugino & Shigeru Matsumoto, 2019. "Determinants of household energy efficiency investment: analysis of refrigerator purchasing behavior," International Journal of Economic Policy Studies, Springer, vol. 13(2), pages 389-402, August.
    21. Lee, Kyeong Hun & Mauer, David C. & Xu, Emma Q., 2022. "Selling durables: Financial flexibility for limited cost pass-through," Journal of Corporate Finance, Elsevier, vol. 75(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:17:y:2025:i:14:p:6359-:d:1699496. 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.