{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T07:13:24Z","timestamp":1649142804811},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T00:00:00Z","timestamp":1635465600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,29]]},"abstract":"<jats:p>This study analyzed the carbon emissions for two-star green residential buildings in Beijing. During operation period, the carbon emissions were calculated for air-conditioning, heating, lighting, elevator, and domestic hot water systems. Furthermore, the carbon emissions for full life cycle are also given in this paper based on the statistical method of big data. The results show that the carbon emissions during operation and full life cycle periods were 17\u223c21 and 21\u223c27 kgCO2e\/(m2\u00b7a), respectively. During operation period, the air-conditioning and heating systems accounted for 60%\u223c70% of the total carbon emissions, 26%\u223c30% and 4%\u223c9% for lighting and elevator systems, and the carbon emissions were lowest for domestic hot water systems.<\/jats:p>","DOI":"10.3233\/faia210266","type":"book-chapter","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T19:13:58Z","timestamp":1635880438000},"source":"Crossref","is-referenced-by-count":0,"title":["Calculation and Analysis of Carbon Emissions for Green Buildings During Operation Period in Beijing"],"prefix":"10.3233","author":[{"given":"Guojian","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Institute of Residential Building Design & Research Co., Ltd, Beijing, 100005, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data II and Machine Learning and Intelligent Systems III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210266","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T19:14:00Z","timestamp":1635880440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210266"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,29]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210266","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,29]]}}}