IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v112y2013icp371-380.html
   My bibliography  Save this article

Quantifying the domestic electricity consumption for air-conditioning due to urban heat islands in hot arid regions

Author

Listed:
  • Radhi, Hassan
  • Sharples, Stephen

Abstract

Authoritative reports show that building electricity consumption can increase steadily once temperature values within urban regions exceed their rural values. This study first assesses the role of higher temperatures in the variation of Bahrain’s domestic electricity consumption for air-conditioning, using the cooling degree days (CDD) as a quantitative index. It then examines how this consumption is affected by urban features. The assessment is performed using established scenarios of the urban heat island (UHI), advanced statistics of building stock and data for electricity consumption. Simple regression equations are developed to predict the effects of temperature alterations on the electricity consumption. This work shows that the variation in CDD is a direct result of modifications to the urban microclimate. The annual total urban CDD value is up to 17% higher than the rural CDD value. A sharp increase of up to 10% in electricity consumption for air-conditioning occurs in urban regions from April to October. Estimates of the electricity demand for dense urban centres that are based on air temperature values measured in open areas, such as airports, can cause an error of almost 6%. The developed statistical equations can be a valuable and convenient method of quantifying the domestic electricity consumption for air-conditioning in Bahrain and other Gulf countries.

Suggested Citation

  • Radhi, Hassan & Sharples, Stephen, 2013. "Quantifying the domestic electricity consumption for air-conditioning due to urban heat islands in hot arid regions," Applied Energy, Elsevier, vol. 112(C), pages 371-380.
    • Handle: RePEc:eee:appene:v:112:y:2013:i:c:p:371-380
    DOI: 10.1016/j.apenergy.2013.06.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913005205
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2013.06.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tremeac, Brice & Bousquet, Pierre & de Munck, Cecile & Pigeon, Gregoire & Masson, Valery & Marchadier, Colette & Merchat, Michele & Poeuf, Pierre & Meunier, Francis, 2012. "Influence of air conditioning management on heat island in Paris air street temperatures," Applied Energy, Elsevier, vol. 95(C), pages 102-110.
    2. 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.
    3. Sailor, David J. & Muñoz, J.Ricardo, 1997. "Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—Methodology and results for eight states," Energy, Elsevier, vol. 22(10), pages 987-998.
    4. Hirano, Y. & Fujita, T., 2012. "Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo," Energy, Elsevier, vol. 37(1), pages 371-383.
    5. Al-Garni, Ahmed Z. & Zubair, Syed M. & Nizami, Javeed S., 1994. "A regression model for electric-energy-consumption forecasting in Eastern Saudi Arabia," Energy, Elsevier, vol. 19(10), pages 1043-1049.
    6. Kikegawa, Yukihiro & Genchi, Yutaka & Kondo, Hiroaki & Hanaki, Keisuke, 2006. "Impacts of city-block-scale countermeasures against urban heat-island phenomena upon a building's energy-consumption for air-conditioning," Applied Energy, Elsevier, vol. 83(6), pages 649-668, June.
    7. Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio & Minea, Alina A., 2010. "Analysis and forecasting of nonresidential electricity consumption in Romania," Applied Energy, Elsevier, vol. 87(11), pages 3584-3590, November.
    8. Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio, 2009. "Electricity consumption forecasting in Italy using linear regression models," Energy, Elsevier, vol. 34(9), pages 1413-1421.
    9. Akbari, H. & Konopacki, S., 2005. "Calculating energy-saving potentials of heat-island reduction strategies," Energy Policy, Elsevier, vol. 33(6), pages 721-756, April.
    10. Attia, Shady & Evrard, Arnaud & Gratia, Elisabeth, 2012. "Development of benchmark models for the Egyptian residential buildings sector," Applied Energy, Elsevier, vol. 94(C), pages 270-284.
    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. Muhammad Tauhidur Rahman & Adel S. Aldosary & Md. Golam Mortoja, 2017. "Modeling Future Land Cover Changes and Their Effects on the Land Surface Temperatures in the Saudi Arabian Eastern Coastal City of Dammam," Land, MDPI, vol. 6(2), pages 1-16, May.
    2. 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.
    3. Moral-Carcedo, Julián & Pérez-García, Julián, 2015. "Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain," Applied Energy, Elsevier, vol. 142(C), pages 407-425.
    4. Jim, C.Y., 2014. "Air-conditioning energy consumption due to green roofs with different building thermal insulation," Applied Energy, Elsevier, vol. 128(C), pages 49-59.
    5. Kong, Fanhua & Sun, Changfeng & Liu, Fengfeng & Yin, Haiwei & Jiang, Fei & Pu, Yingxia & Cavan, Gina & Skelhorn, Cynthia & Middel, Ariane & Dronova, Iryna, 2016. "Energy saving potential of fragmented green spaces due to their temperature regulating ecosystem services in the summer," Applied Energy, Elsevier, vol. 183(C), pages 1428-1440.
    6. Vidrih, Boris & Arkar, Ciril & Medved, Sašo, 2016. "Generalized model-based predictive weather control for the control of free cooling by enhanced night-time ventilation," Applied Energy, Elsevier, vol. 168(C), pages 482-492.
    7. 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.
    8. 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).
    9. Taleghani, Mohammad, 2018. "Outdoor thermal comfort by different heat mitigation strategies- A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2011-2018.
    10. Néstor Santillán-Soto & O. Rafael García-Cueto & Alejandro A. Lambert-Arista & Sara Ojeda-Benítez & Samantha E. Cruz-Sotelo, 2019. "Comparative Analysis of Two Urban Microclimates: Energy Consumption and Greenhouse Gas Emissions," Sustainability, MDPI, vol. 11(7), pages 1-11, April.
    11. Xu, Xiaoyu & González, Jorge E. & Shen, Shuanghe & Miao, Shiguang & Dou, Junxia, 2018. "Impacts of urbanization and air pollution on building energy demands — Beijing case study," Applied Energy, Elsevier, vol. 225(C), pages 98-109.
    12. Toparlar, Y. & Blocken, B. & Maiheu, B. & van Heijst, G.J.F., 2018. "Impact of urban microclimate on summertime building cooling demand: A parametric analysis for Antwerp, Belgium," Applied Energy, Elsevier, vol. 228(C), pages 852-872.
    13. Chih-Ping Kuo & Hung-Jiun Liao, 2021. "Challenge of Using Groundwater for Buildings Air Conditioning in Subtropical Areas," Sustainability, MDPI, vol. 14(1), pages 1-21, December.
    14. Ulpiani, Giulia, 2019. "Water mist spray for outdoor cooling: A systematic review of technologies, methods and impacts," Applied Energy, Elsevier, vol. 254(C).
    15. Yang, Xiaoshan & Peng, Lilliana L.H. & Jiang, Zhidian & Chen, Yuan & Yao, Lingye & He, Yunfei & Xu, Tianjing, 2020. "Impact of urban heat island on energy demand in buildings: Local climate zones in Nanjing," Applied Energy, Elsevier, vol. 260(C).
    16. Ulpiani, Giulia & di Perna, Costanzo & Zinzi, Michele, 2019. "Water nebulization to counteract urban overheating: Development and experimental test of a smart logic to maximize energy efficiency and outdoor environmental quality," Applied Energy, Elsevier, vol. 239(C), pages 1091-1113.

    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. Toparlar, Y. & Blocken, B. & Maiheu, B. & van Heijst, G.J.F., 2018. "Impact of urban microclimate on summertime building cooling demand: A parametric analysis for Antwerp, Belgium," Applied Energy, Elsevier, vol. 228(C), pages 852-872.
    2. Hirano, Y. & Fujita, T., 2012. "Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo," Energy, Elsevier, vol. 37(1), pages 371-383.
    3. Gago, E.J. & Roldan, J. & Pacheco-Torres, R. & Ordóñez, J., 2013. "The city and urban heat islands: A review of strategies to mitigate adverse effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 749-758.
    4. Kong, Fanhua & Sun, Changfeng & Liu, Fengfeng & Yin, Haiwei & Jiang, Fei & Pu, Yingxia & Cavan, Gina & Skelhorn, Cynthia & Middel, Ariane & Dronova, Iryna, 2016. "Energy saving potential of fragmented green spaces due to their temperature regulating ecosystem services in the summer," Applied Energy, Elsevier, vol. 183(C), pages 1428-1440.
    5. A. Azadeh & M. Saberi & A. Gitiforouz, 2013. "An integrated fuzzy mathematical model and principal component analysis algorithm for forecasting uncertain trends of electricity consumption," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2163-2176, June.
    6. Changrui Deng & Xiaoyuan Zhang & Yanmei Huang & Yukun Bao, 2021. "Equipping Seasonal Exponential Smoothing Models with Particle Swarm Optimization Algorithm for Electricity Consumption Forecasting," Energies, MDPI, vol. 14(13), pages 1-14, July.
    7. Liu, Yuan & He, Li & Shen, Jing, 2017. "Optimization-based provincial hybrid renewable and non-renewable energy planning – A case study of Shanxi, China," Energy, Elsevier, vol. 128(C), pages 839-856.
    8. Ardakani, F.J. & Ardehali, M.M., 2014. "Long-term electrical energy consumption forecasting for developing and developed economies based on different optimized models and historical data types," Energy, Elsevier, vol. 65(C), pages 452-461.
    9. Yuehjen E. Shao & Yi-Shan Tsai, 2018. "Electricity Sales Forecasting Using Hybrid Autoregressive Integrated Moving Average and Soft Computing Approaches in the Absence of Explanatory Variables," Energies, MDPI, vol. 11(7), pages 1-22, July.
    10. Kankal, Murat & AkpInar, Adem & Kömürcü, Murat Ihsan & Özsahin, Talat Sükrü, 2011. "Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables," Applied Energy, Elsevier, vol. 88(5), pages 1927-1939, May.
    11. Kaytez, Fazil, 2020. "A hybrid approach based on autoregressive integrated moving average and least-square support vector machine for long-term forecasting of net electricity consumption," Energy, Elsevier, vol. 197(C).
    12. Yingbao Yang & Xize Zhang & Xi Lu & Jia Hu & Xin Pan & Qin Zhu & Weizhong Su, 2017. "Effects of Building Design Elements on Residential Thermal Environment," Sustainability, MDPI, vol. 10(1), pages 1-15, December.
    13. Xu, Ling & Wang, Jiayu & Xiao, Feipeng & EI-Badawy, Sherif & Awed, Ahmed, 2021. "Potential strategies to mitigate the heat island impacts of highway pavement on megacities with considerations of energy uses," Applied Energy, Elsevier, vol. 281(C).
    14. Günay, M. Erdem, 2016. "Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey," Energy Policy, Elsevier, vol. 90(C), pages 92-101.
    15. Irsag, Bojan & Pukšec, Tomislav & Duić, Neven, 2012. "Long term energy demand projection and potential for energy savings of Croatian tourism–catering trade sector," Energy, Elsevier, vol. 48(1), pages 398-405.
    16. Ouldboukhitine, Salah-Eddine & Belarbi, Rafik & Sailor, David J., 2014. "Experimental and numerical investigation of urban street canyons to evaluate the impact of green roof inside and outside buildings," Applied Energy, Elsevier, vol. 114(C), pages 273-282.
    17. Gulay, Emrah & Sen, Mustafa & Akgun, Omer Burak, 2024. "Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models," Energy, Elsevier, vol. 286(C).
    18. Zeng, Yu-Rong & Zeng, Yi & Choi, Beomjin & Wang, Lin, 2017. "Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network," Energy, Elsevier, vol. 127(C), pages 381-396.
    19. Zaman Sajid & Asma Javaid & Muhammad Kashif Khan & Hamad Sadiq & Usman Hamid, 2021. "Integration of Regression Analysis and Monte Carlo Simulation for Probabilistic Energy Policy Guidelines in Pakistan," Resources, MDPI, vol. 10(9), pages 1-26, August.
    20. Yang, Jiachuan & Wang, Zhi-Hua & Kaloush, Kamil E., 2015. "Environmental impacts of reflective materials: Is high albedo a ‘silver bullet’ for mitigating urban heat island?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 830-843.

    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:eee:appene:v:112:y:2013:i:c:p:371-380. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.