Article(id=1242133748326675312, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242133720182891229, articleNumber=null, orderNo=14, doi=10.3981/j.issn.1000-7857.2015.15.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1418918400000, receivedDateStr=2014-12-19, revisedDate=1429027200000, revisedDateStr=2015-04-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1440727038677, onlineDateStr=2015-08-28, pubDate=1439395200000, pubDateStr=2015-08-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1440727038677, onlineIssueDateStr=2015-08-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077363326, creator=sys-migrate, updateTime=1774077363326, updator=sys-migrate, issue=Issue{id=1242133720182891229, tenantId=1146029695717560320, journalId=1146031591421210625, year='2015', volume='33', issue='15', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1439395200000', pubDateStr='2015-08-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077356616, creator='sys-migrate', updateTime=1774077356616, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=60, endPage=65, ext={EN=ArticleExt(id=1242133752021857165, articleId=1242133748326675312, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Effects of parameters setup on energy consumption of air conditioning systems, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=An office building in Shenzhen was selected as an example to study the effects of indoor temperature setup, air supply temperature difference, cold and cooling water temperature difference on energy consumption of air conditioning systems, based on the established physical and mathematical model. The results show that indoor temperature setup has relatively large influence on the air conditioning load and energy consumption. With indoor temperature setup increasing by 1℃, the air conditioning load decreases by 5.6%, and Coefficient of Performance (COP) and Energy Efficiency Ratio (EER) increase by 7.2% and 4.75% . With air supply temperature difference increasing by 1℃, the air conditioning load decreases by 4%, and COP and EER decrease by 5.2% and 4.64%. With cold water temperature difference increasing by 1℃, the cold water transfer factor increases by 7.85%. With cooling water temperature difference increasing by 1℃, the cooling water transfer factor increases by 8.68%., authors=QIU Zejing1, LUO Chao2, MA Zhitong2,3,4, ZHENG Xin1, DUAN Zhiqiang5, authorsList=QIU Zejing, LUO Chao, MA Zhitong, ZHENG Xin, DUAN Zhiqiang, authorCompany=1. Nanrui (Wuhan) Electrical Equipment and Engineering Energy Efficiency Evaluation Center, Wuhan 430074, China;
2. Guangzhou Institute of Energy Conversion; Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, China;
3. University of Chinese Academy of Sciences, Beijing 100086, China;
4. Shenzhen Academy of Metrology & Quality Inspection, Shenzhen 518055, China;
5. Economic and Technology of State Grid Hubei Electrical Power Company, Wuhan 430074, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=UG9SG8LkAc1mHLyvzAV6fA==, pdfFileSize=2472602, 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=1242133749886956410, articleId=1242133748326675312, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=设定参数对空调系统能耗的影响, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=选择位于深圳的一栋小面积办公建筑为例,建立了建筑空调系统的物理和数学模型,基于EES 和Matlab 软件计算模拟,研究了空调系统的室内设定温度、送风温差、冷冻水和冷却水温差参数对空调系统能效比(EER)、制冷系数(COP)、输送效率和功耗等指标的影响。结果表明,室内设定温度每升高1℃,空调冷负荷减少5.6%,COP 和EER 分别升高7.2%和4.75%;送风温度每升高1℃,冷负荷下降4%,COP 和EER 分别降低5.2%和4.64%,以设备总功耗为单一指标,送风温差9.5℃为最佳值;冷冻水温差每升高1℃,冷冻水输送系数升高7.85%;冷却水温差每升高1℃,冷却水输送系数升高8.68%。该结果对空调设计和施工具有指导意义。, authors=邱泽晶1, 骆超2, 马志同2,3,4, 郑鑫1, 段志强5, authorsList=邱泽晶, 骆超, 马志同, 郑鑫, 段志强, authorCompany=1. 南瑞(武汉)电气设备与工程能效测评中心, 武汉430074;
2. 中国科学院广州能源研究所;中国科学院可再生能源重点实验室, 广州510640;
3. 中国科学院大学, 北京100086;
4. 深圳市计量质量检测研究院, 深圳518055;
5. 国家电网湖北省电力公司经济技术研究院, 武汉430074, correspAuthors=null, authorNote=邱泽晶,工程师,研究方向为用能系统能耗诊断,电子信箱:qiuzejing@sgepri.sgcc.com.cn;马志同,高级工程师,研究方向为能耗监测,电子信箱:mazt@smq.com.cn, correspAuthorsNote=马志同,高级工程师,研究方向为能耗监测,电子信箱:mazt@smq.com.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=vTRHmF9wv7Q8FmnIglclgQ==, pdfFileSize=2472602, 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)}, authors=null, keywords=[Keyword(id=1242133749438165875, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133748326675312, language=CN, orderNo=1, keyword=空调系统), Keyword(id=1242133749526246260, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133748326675312, language=CN, orderNo=1, keyword=能耗), 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设定参数对空调系统能耗的影响
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科技导报 | 研究论文 2015, 33(15): 60-65
设定参数对空调系统能耗的影响
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邱泽晶1, 骆超2, 马志同2,3,4, 郑鑫1, 段志强5
作者信息
    1. 南瑞(武汉)电气设备与工程能效测评中心, 武汉430074;
    2. 中国科学院广州能源研究所;中国科学院可再生能源重点实验室, 广州510640;
    3. 中国科学院大学, 北京100086;
    4. 深圳市计量质量检测研究院, 深圳518055;
    5. 国家电网湖北省电力公司经济技术研究院, 武汉430074

通讯作者:

马志同,高级工程师,研究方向为能耗监测,电子信箱:mazt@smq.com.cn
Effects of parameters setup on energy consumption of air conditioning systems
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出版时间: 2015-08-13 doi: 10.3981/j.issn.1000-7857.2015.15.009
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选择位于深圳的一栋小面积办公建筑为例,建立了建筑空调系统的物理和数学模型,基于EES 和Matlab 软件计算模拟,研究了空调系统的室内设定温度、送风温差、冷冻水和冷却水温差参数对空调系统能效比(EER)、制冷系数(COP)、输送效率和功耗等指标的影响。结果表明,室内设定温度每升高1℃,空调冷负荷减少5.6%,COP 和EER 分别升高7.2%和4.75%;送风温度每升高1℃,冷负荷下降4%,COP 和EER 分别降低5.2%和4.64%,以设备总功耗为单一指标,送风温差9.5℃为最佳值;冷冻水温差每升高1℃,冷冻水输送系数升高7.85%;冷却水温差每升高1℃,冷却水输送系数升高8.68%。该结果对空调设计和施工具有指导意义。
空调系统  /  能耗  /  制冷机制冷系数  /  制冷系统能效比  /  输送效率
An office building in Shenzhen was selected as an example to study the effects of indoor temperature setup, air supply temperature difference, cold and cooling water temperature difference on energy consumption of air conditioning systems, based on the established physical and mathematical model. The results show that indoor temperature setup has relatively large influence on the air conditioning load and energy consumption. With indoor temperature setup increasing by 1℃, the air conditioning load decreases by 5.6%, and Coefficient of Performance (COP) and Energy Efficiency Ratio (EER) increase by 7.2% and 4.75% . With air supply temperature difference increasing by 1℃, the air conditioning load decreases by 4%, and COP and EER decrease by 5.2% and 4.64%. With cold water temperature difference increasing by 1℃, the cold water transfer factor increases by 7.85%. With cooling water temperature difference increasing by 1℃, the cooling water transfer factor increases by 8.68%.
air conditioning system  /  energy consumption  /  energy efficiency ratio  /  coefficient of performance  /  transfer factor
邱泽晶, 骆超, 马志同, 郑鑫, 段志强. 设定参数对空调系统能耗的影响. 科技导报, 2015 , 33 (15) : 60 -65 . DOI: 10.3981/j.issn.1000-7857.2015.15.009
QIU Zejing, LUO Chao, MA Zhitong, ZHENG Xin, DUAN Zhiqiang. Effects of parameters setup on energy consumption of air conditioning systems[J]. Science & Technology Review, 2015 , 33 (15) : 60 -65 . DOI: 10.3981/j.issn.1000-7857.2015.15.009
2015年第33卷第15期
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doi: 10.3981/j.issn.1000-7857.2015.15.009
  • 接收时间:2014-12-19
  • 首发时间:2015-08-28
  • 出版时间:2015-08-13
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  • 收稿日期:2014-12-19
  • 修回日期:2015-04-15
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马志同,高级工程师,研究方向为能耗监测,电子信箱:mazt@smq.com.cn
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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