Article(id=1242140511608320041, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242140505040040956, articleNumber=null, orderNo=5, doi=10.3981/j.issn.1000-7857.2023.12.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1666800000000, receivedDateStr=2022-10-27, revisedDate=1677600000000, revisedDateStr=2023-03-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1689041677927, onlineDateStr=2023-07-11, pubDate=1687881600000, pubDateStr=2023-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1689041677927, onlineIssueDateStr=2023-07-11, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078975820, creator=sys-migrate, updateTime=1774078975820, updator=sys-migrate, issue=Issue{id=1242140505040040956, tenantId=1146029695717560320, journalId=1146031591421210625, year='2023', volume='41', issue='12', pageStart='1', pageEnd='100', issueExtLink='null', onlineDate='null', pubDate='1687881600000', pubDateStr='2023-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078974252, creator='sys-migrate', updateTime=1774078974252, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=20, endPage=24, ext={EN=ArticleExt(id=1242140516968636931, articleId=1242140511608320041, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Assessment of geothermal energy in the Yangtze River Delta, columnId=1242140515664208365, journalTitle=Science & Technology Review, columnName=Exclusive：Geothermal Energy in the Yangtze River Delta, runingTitle=null, highlight=null, articleAbstract=In the Yangtze River Delta, there are widely distributed shallow and medium-depth geothermal energy. Based on the geothermal geology data, we estimated the geothermal energy as 78.2 billion standard coal, and the annual recoverable amount is 0.16 billion standard coal, including both shallow and medium-depth geothermal energy. It has the potential to support space heating of 2.48 billion m²，and district cooling of 1.45 billion m². However, there is currently only 57 million m² area using geothermal heating and cooling, which is less than 4% of annual recoverable amount. Further, we showed that if the current district in the Yangtze River Delta could maximize the use of geothermal heating and cooling, the CO₂ could be reduced 10% more than the current basis, and if the new buildings could all maximize the use of geothermal heating and cooling, the CO₂ could be reduced 20% more than the current basis. Therefore, geothermal energy could play an important role in the target of carbon peaking and carbon neutrality in the Yangtze River Delta., authors=KONG Yanlong^1,2,3, HUANG Jian⁴, XU Xueqiu⁵, GUAN Yu⁶, WANG Yanlin⁷, CHENG Yuanzhi^1,2, WANG Yibo^1,2,GONG Yulie⁸, ZHANG Weizun^1,9, LUO Guanzhong^1,9, CHEN Gaokai¹⁰, PANG Zhonghe^1,2,3, WANG Jiyang^1,2,3, authorsList=KONG Yanlong, HUANG Jian, XU Xueqiu, GUAN Yu, WANG Yanlin, CHENG Yuanzhi, WANG Yibo, GONG Yulie, ZHANG Weizun, LUO Guanzhong, CHEN Gaokai, PANG Zhonghe, WANG Jiyang, authorCompany=1. Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
2. Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100029, China
3. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
4. Shanghai Geological & Mineral Engineering Investigation Co., Ltd, Shanghai 200072, China
5. Geological Survey of Jiangsu Province, Nanjing 210018, China
6. Central Observation Station of Geological Environment of Anhui province, Hefei 230001, China
7. Zhejiang Institute of Hydrogeology and Engineering Geology, Ningbo 315012, China
8. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
9. College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
10. Wanjiang New Energy Co. Ltd., Zhengzhou 450008, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=CCeSM8oSUuHW04OzIMy3zw==, pdfFileSize=5835533, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242140515311890496, articleId=1242140511608320041, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=长三角地区地热能评价, columnId=1242140514754048059, journalTitle=科技导报, columnName=专题：长三角地热, runingTitle=null, highlight=null, articleAbstract=长三角地区是中国地热能较为丰富的地区之一，广泛分布浅层地热能和中深层地热能。根据现有资料，采用体积法估算得到长三角地区3 km以浅的地热能（包括浅层地热能和中深层水热型地热能）总量达782亿 t标准煤的热量，年可利用量相当于1.6亿 t标准煤。可实现建筑物冬季供暖面积 24.8亿 m²，夏季制冷面积 14.5亿 m²。然而，目前长三角地区利用地热供暖和制冷的建筑面积仅有0.57亿 m²，不足可利用的4%，开发利用潜力巨大。按照上述地热能评估结果，若在长三角地区已有建筑物中可以最大限度的保障采用地热供暖制冷，可在现有基础上减排二氧化碳10%以上，若新增建筑均最大限度的采用地热供暖制冷，地热减排贡献可在20%以上，在碳达峰与碳中和目标的实现过程中做出突出贡献。, authors=孔彦龙^1,2,3，黄坚⁴，徐雪球⁵，官煜⁶，汪燕林⁷，程远志^1,2，王一波^1,2，龚宇烈⁸，张伟尊^1,9，罗冠中^1,9，陈高凯¹⁰，庞忠和^1,2,3，汪集暘^1,2,3, authorsList=孔彦龙，黄坚，徐雪球，官煜，汪燕林，程远志，王一波，龚宇烈，张伟尊，罗冠中，陈高凯，庞忠和，汪集暘, authorCompany=1. 中国科学院地质与地球物理研究所页岩气与地质工程重点实验室, 北京 100029
2. 中国科学院地球科学研究院，北京 100029
3. 中国科学院大学地球与行星科学学院, 北京 100049
4. 上海市地矿工程勘察集团有限公司, 上海 200072
5. 江苏省地质调查研究院，南京 210018
6. 安徽省地质环境监测总站，合肥 230001
7. 浙江省水文地质工程地质大队，宁波 315012
8. 中国科学院广州能源研究所，广州 510640
9. 中国矿业大学（北京）地球科学与测绘工程学院，北京 100083
10. 万江新能源股份有限公司，郑州 450008, correspAuthors=null, authorNote=孔彦龙，副研究员，研究方向为同位素水文地质与地热地质，电子信箱：ylkong@mail.iggcas.ac.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=y0ahPVU06n4yZMn8MocaTw==, pdfFileSize=5835533, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=中国科学院学部咨询评议项目（2020-DX03-B-007）)}, authors=[Author(id=1277411425710687170, tenantId=1146029695717560320, journalId=null, articleId=1242140511608320041, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, ext={EN=AuthorExt(id=null, tenantId=null, journalId=1146031591421210625, 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