IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v184y2016icp951-959.html
   My bibliography  Save this article

Heat wave, electricity rationing, and trade-offs between environmental gains and economic losses: The example of Shanghai

Author

Listed:
  • Liang, Zhuoran
  • Tian, Zhan
  • Sun, Laixiang
  • Feng, Kuishuang
  • Zhong, Honglin
  • Gu, Tingting
  • Liu, Xiaochen

Abstract

In recent decades, many megacities in the world have suffered from increasingly frequent heat waves. During heat waves, air-conditioners, refrigerators, and electric fans add a considerable peak demand on electrical utility grids, and on the supply side, high temperatures exert adverse effects on electricity generation, transmission, and distribution. Without pro-active planning and mitigation measures, the overloading would result in more frequent blackouts (the complete failure of electricity distribution) and brownouts (voltage reductions). To facilitate a pro-active planning, which aims to replace blackouts and brownouts by a rationing regime in selected sectors, this research proposes an integrated modeling tool which couples a regression model between daily electricity use and maximum temperature over the summer and a mixed input–output model with supply constraints. With the help of available data in Shanghai, China, we show that this tool is capable of quantitatively estimating the overall economic effects and sequential changes in carbon emissions, which a given magnitude of power rationing in a specific sector can exert across all sectors. The availability of such information would enable decision makers to plan an electricity rationing regime at the sector level to meet the double criterions of minimizing the overall economic losses and maximizing the extent of carbon emission reduction.

Suggested Citation

  • Liang, Zhuoran & Tian, Zhan & Sun, Laixiang & Feng, Kuishuang & Zhong, Honglin & Gu, Tingting & Liu, Xiaochen, 2016. "Heat wave, electricity rationing, and trade-offs between environmental gains and economic losses: The example of Shanghai," Applied Energy, Elsevier, vol. 184(C), pages 951-959.
    • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:951-959
    DOI: 10.1016/j.apenergy.2016.06.045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916308224
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.06.045?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. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    2. Cancelo, José Ramón & Espasa, Antoni & Grafe, Rosmarie, 2008. "Forecasting the electricity load from one day to one week ahead for the Spanish system operator," International Journal of Forecasting, Elsevier, vol. 24(4), pages 588-602.
    3. Yee Yan, Yuk, 1998. "Climate and residential electricity consumption in Hong Kong," Energy, Elsevier, vol. 23(1), pages 17-20.
    4. Sailor, David J, 2001. "Relating residential and commercial sector electricity loads to climate—evaluating state level sensitivities and vulnerabilities," Energy, Elsevier, vol. 26(7), pages 645-657.
    5. Hubacek, Klaus & Sun, Laixiang, 2001. "A scenario analysis of China's land use and land cover change: incorporating biophysical information into input-output modeling," Structural Change and Economic Dynamics, Elsevier, vol. 12(4), pages 367-397, December.
    6. Hekkenberg, M. & Benders, R.M.J. & Moll, H.C. & Schoot Uiterkamp, A.J.M., 2009. "Indications for a changing electricity demand pattern: The temperature dependence of electricity demand in the Netherlands," Energy Policy, Elsevier, vol. 37(4), pages 1542-1551, April.
    7. Ahmed, T. & Muttaqi, K.M. & Agalgaonkar, A.P., 2012. "Climate change impacts on electricity demand in the State of New South Wales, Australia," Applied Energy, Elsevier, vol. 98(C), pages 376-383.
    8. De Felice, Matteo & Alessandri, Andrea & Catalano, Franco, 2015. "Seasonal climate forecasts for medium-term electricity demand forecasting," Applied Energy, Elsevier, vol. 137(C), pages 435-444.
    9. Hyun Sic Park & Ju Sung Lee & JunYoung Han & Sangwon Park & Jinwon Park & Byoung Ryul Min, 2015. "CO2 Fixation by Membrane Separated NaCl Electrolysis," Energies, MDPI, vol. 8(8), pages 1-12, August.
    10. Edward Vine, 2012. "Adaptation of California’s electricity sector to climate change," Climatic Change, Springer, vol. 111(1), pages 75-99, March.
    11. Deihimi, Ali & Orang, Omid & Showkati, Hemen, 2013. "Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction," Energy, Elsevier, vol. 57(C), pages 382-401.
    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. Guo, Siyue & Yan, Da & Hong, Tianzhen & Xiao, Chan & Cui, Ying, 2019. "A novel approach for selecting typical hot-year (THY) weather data," Applied Energy, Elsevier, vol. 242(C), pages 1634-1648.
    2. You, Siming & Neoh, Koon Gee & Tong, Yen Wah & Dai, Yanjun & Wang, Chi-Hwa, 2017. "Variation of household electricity consumption and potential impact of outdoor PM2.5 concentration: A comparison between Singapore and Shanghai," Applied Energy, Elsevier, vol. 188(C), pages 475-484.
    3. Zhang, Chonghui & Wang, Zhen & Su, Weihua & Dalia, Streimikiene, 2024. "Differentiated power rationing or seasonal power price? Optimal power allocation solution for Chinese industrial enterprises based on the CSW-DEA model," Applied Energy, Elsevier, vol. 353(PB).
    4. Wang, Bo & Deng, Nana & Li, Haoxiang & Zhao, Wenhui & Liu, Jie & Wang, Zhaohua, 2021. "Effect and mechanism of monetary incentives and moral suasion on residential peak-hour electricity usage," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    5. 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. Santágata, Daniela M. & Castesana, Paula & Rössler, Cristina E. & Gómez, Darío R., 2017. "Extreme temperature events affecting the electricity distribution system of the metropolitan area of Buenos Aires (1971–2013)," Energy Policy, Elsevier, vol. 106(C), pages 404-414.
    2. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    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. Mahuya Basu & Tanupa Chakraborty, 2019. "Weather risk assessment of Indian power sector: A conditional value-at-risk approach," Energy & Environment, , vol. 30(4), pages 641-661, June.
    5. Yau, Y.H. & Pean, H.L., 2011. "The climate change impact on air conditioner system and reliability in Malaysia—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4939-4949.
    6. Burillo, Daniel & Chester, Mikhail V. & Pincetl, Stephanie & Fournier, Eric, 2019. "Electricity infrastructure vulnerabilities due to long-term growth and extreme heat from climate change in Los Angeles County," Energy Policy, Elsevier, vol. 128(C), pages 943-953.
    7. Alessandro Bosisio & Matteo Moncecchi & Andrea Morotti & Marco Merlo, 2021. "Machine Learning and GIS Approach for Electrical Load Assessment to Increase Distribution Networks Resilience," Energies, MDPI, vol. 14(14), pages 1-23, July.
    8. Chabouni, Naima & Belarbi, Yacine & Benhassine, Wassim, 2020. "Electricity load dynamics, temperature and seasonality Nexus in Algeria," Energy, Elsevier, vol. 200(C).
    9. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    10. Son, Hyojoo & Kim, Changwan, 2017. "Short-term forecasting of electricity demand for the residential sector using weather and social variables," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 200-207.
    11. 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.
    12. 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.
    13. Trotter, Ian Michael & Féres, José Gustavo & Bolkesjø, Torjus Folsland & de Hollanda, Lavínia Rocha, 2015. "Simulating Brazilian Electricity Demand Under Climate Change Scenarios," Working Papers in Applied Economics 208689, Universidade Federal de Vicosa, Departamento de Economia Rural.
    14. Kabdrakhmanova, Marzhan & Memon, Shazim Ali & Saurbayeva, Assemgul, 2021. "Implementation of the panel data regression analysis in PCM integrated buildings located in a humid subtropical climate," Energy, Elsevier, vol. 237(C).
    15. Matthew Ranson & Lauren Morris & Alex Kats-Rubin, 2014. "Climate Change and Space Heating Energy Demand: A Review of the Literature," NCEE Working Paper Series 201407, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Dec 2014.
    16. Khan, Muhammad Arshad & Abbas, Faisal, 2016. "The dynamics of electricity demand in Pakistan: A panel cointegration analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1159-1178.
    17. Tso, Geoffrey K.F. & Guan, Jingjing, 2014. "A multilevel regression approach to understand effects of environment indicators and household features on residential energy consumption," Energy, Elsevier, vol. 66(C), pages 722-731.
    18. Kondi-Akara, Ghafi & Hingray, Benoit & Francois, Baptiste & Diedhiou, Arona, 2023. "Recent trends in urban electricity consumption for cooling in West and Central African countries," Energy, Elsevier, vol. 276(C).
    19. Tso, Geoffrey K.F & Yau, Kelvin K.W, 2003. "A study of domestic energy usage patterns in Hong Kong," Energy, Elsevier, vol. 28(15), pages 1671-1682.
    20. Li, Xian-Xiang, 2018. "Linking residential electricity consumption and outdoor climate in a tropical city," Energy, Elsevier, vol. 157(C), pages 734-743.

    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:184:y:2016:i:c:p:951-959. 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.