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Evaluation of the effects of one cold wave on heating energy consumption in different regions of northern China

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  • Jiang, Dachuan
  • Xiao, Weihua
  • Wang, Jianhua
  • Wang, Hao
  • Zhao, Yong
  • Li, Baoqi
  • Zhou, Pu

Abstract

The heating energy consumption per floor area (HECPA) and heating degree days (HDD) are effective indicators in quantifying the energy demand for heating with climate change. Using the heating energy consumption and meteorological data, an attempt has been made to analyse the relationship between the HECPA and HDD in different regions of northern China by the linear regression model. Based on the constructed model, the effects of one cold wave on heating energy consumption in different regions are evaluated. The results show that the HECPA and HDD in Beijing have a positive correlation with a correlation coefficient of 0.68. During the cold wave in 2016, the heating energy consumption in Beijing approximately increases 2.37% compared with 2014. However, no correlation has been found between the HECPA and HDD in the relatively undeveloped regions. It seems that the cold wave has a greater effect on the developed regions than relatively undeveloped ones. It is considered that the reasons for the little effect of one cold wave on heating energy consumption in the undeveloped regions are outdated heating systems, insufficient energy supply for heating and low living standards.

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  • Jiang, Dachuan & Xiao, Weihua & Wang, Jianhua & Wang, Hao & Zhao, Yong & Li, Baoqi & Zhou, Pu, 2018. "Evaluation of the effects of one cold wave on heating energy consumption in different regions of northern China," Energy, Elsevier, vol. 142(C), pages 331-338.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:331-338
    DOI: 10.1016/j.energy.2017.09.150
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    as
    1. 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.
    2. Hekkenberg, M. & Moll, H.C. & Uiterkamp, A.J.M. Schoot, 2009. "Dynamic temperature dependence patterns in future energy demand models in the context of climate change," Energy, Elsevier, vol. 34(11), pages 1797-1806.
    3. Verbai, Zoltán & Lakatos, Ákos & Kalmár, Ferenc, 2014. "Prediction of energy demand for heating of residential buildings using variable degree day," Energy, Elsevier, vol. 76(C), pages 780-787.
    4. Madlener, Reinhard & Hauertmann, Maximilian, 2011. "Rebound Effects in German Residential Heating: Do Ownership and Income Matter?," FCN Working Papers 2/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    5. Spandagos, Constantinos & Ng, Tze Ling, 2017. "Equivalent full-load hours for assessing climate change impact on building cooling and heating energy consumption in large Asian cities," Applied Energy, Elsevier, vol. 189(C), pages 352-368.
    6. Rehdanz, Katrin, 2007. "Determinants of residential space heating expenditures in Germany," Energy Economics, Elsevier, vol. 29(2), pages 167-182, March.
    7. Chow, T.T. & Chan, A.L.S. & Fong, K.F. & Lin, Z. & He, W. & Ji, J., 2009. "Annual performance of building-integrated photovoltaic/water-heating system for warm climate application," Applied Energy, Elsevier, vol. 86(5), pages 689-696, May.
    8. Li, Xiwang & Wen, Jin & Bai, Er-Wei, 2016. "Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification," Applied Energy, Elsevier, vol. 164(C), pages 69-88.
    9. Roshan, Gh.R. & Orosa, J.A & Nasrabadi, T., 2012. "Simulation of climate change impact on energy consumption in buildings, case study of Iran," Energy Policy, Elsevier, vol. 49(C), pages 731-739.
    10. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    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. De Rosa, Mattia & Bianco, Vincenzo & Scarpa, Federico & Tagliafico, Luca A., 2014. "Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach," Applied Energy, Elsevier, vol. 128(C), pages 217-229.
    13. Kohler, M. & Blond, N. & Clappier, A., 2016. "A city scale degree-day method to assess building space heating energy demands in Strasbourg Eurometropolis (France)," Applied Energy, Elsevier, vol. 184(C), pages 40-54.
    14. Mirasgedis, S. & Sarafidis, Y. & Georgopoulou, E. & Lalas, D.P. & Moschovits, M. & Karagiannis, F. & Papakonstantinou, D., 2006. "Models for mid-term electricity demand forecasting incorporating weather influences," Energy, Elsevier, vol. 31(2), pages 208-227.
    15. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
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