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      Effects of climate and potential policy changes on heating degree days in current heating areas of China

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      1 , , 2 , 3 , 1
      Scientific Reports
      Nature Publishing Group UK

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          Abstract

          Based on climate simulations over East Asia from a high-resolution regional climate model under RCP4.5 and 8.5 scenarios, we examine the impact of future climate change and heating policy changes on energy demand in current central heating areas over China using the heating degree days (HDD) and the number of the heating days (NHD) with different base temperature as the indices. Based on current heating policy in China, significant decreases of NHDs are projected, with larger decreases under RCP8.5 than RCP4.5. This decrease of NHDs would cause a northward shift of the decadal heating boundary line, with significant implications for infrastructure planning and development. Changing the heating policy currently in practice to one used in Europe and USA would cause an immediate jump in NHDs and in HDDs; as warming progresses in the future, these effects attenuate with time in an approximately linear trend under the two scenarios. Under RCP8.5, by 2050, the effects of warming climate would dominate over the heating policy change, and heating demand would be lower than the present day HDD and continue to decrease until the end of the century. Energy demand and the number of the heating days during peak winter shows no dependence on heating policy, as the policy-induced increase of energy demand would occur primarily during warmer months of the year. In addition, the indices are further weighted by population, and results show that increases in both HDDs and NHDs can be found in parts of northern China due to the increased population there by the end of the 21st century.

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          A high-resolution data set of surface climate over global land areas

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                Author and article information

                Contributors
                shiying@cma.gov.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                5 July 2018
                5 July 2018
                2018
                : 8
                : 10211
                Affiliations
                [1 ]ISNI 0000 0001 2234 550X, GRID grid.8658.3, National Climate Center, , China Meteorological Administration, ; Zhongguancun Nandajie 46, Haidian District, Beijing, 100081 China
                [2 ]ISNI 0000 0001 0860 4915, GRID grid.63054.34, Department of Civil and Environmental Engineering, and Center for Environmental Sciences and Engineering, , University of Connecticut, ; Storrs, CT 06269 USA
                [3 ]ISNI 0000000119573309, GRID grid.9227.e, Climate Change Research Center, Institute of Atmospheric Sciences, , Chinese Academy of Sciences, ; Huayanli 40, Chaoyang District, Beijing, 100029 China
                Author information
                http://orcid.org/0000-0002-4929-8739
                http://orcid.org/0000-0002-9744-2563
                Article
                28411
                10.1038/s41598-018-28411-z
                6033895
                29977024
                81caf21c-edaa-4ab2-97f8-6ee660535ada
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 November 2017
                : 20 June 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 41375104
                Award Recipient :
                Funded by: The Climate Change Specific Fund of China (CCSF201731)
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