論文

査読有り
2013年

Environmental and economic assessment of municipal sewage sludge management - a case study in Beijing, China

WATER SCIENCE AND TECHNOLOGY
  • Xinyi Li
  • ,
  • Masaki Takaoka
  • ,
  • Fenfen Zhu
  • ,
  • Jiawei Wang
  • ,
  • Kazuyuki Oshita
  • ,
  • Tadao Mizuno

67
7
開始ページ
1465
終了ページ
1473
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.2166/wst.2013.688
出版者・発行元
IWA PUBLISHING

A case study was conducted in Beijing to identify municipal sewage sludge (SS) management systems appropriate for a sound material-cycle society. The environmental and economic impacts of four realistic SS-handling scenarios were investigated: stabilization by thermal drying, increased inclusion of SS in cement manufacture, and using either dried or carbonized SS as substitute fuel for coal-fired power generation plants. The results showed that the current sludge management system had the lowest operating cost but higher greenhouse gas (GHG) emissions and a low recycling rate. The case with the use of carbonized SS reused in coal-fired power plants had higher energy consumption and almost the same GHG emissions as the current system. On the other hand, the case including more SS in cement manufacture had the same level of energy consumption with much lower GHG emissions. The case with the use of dried SS in coal-fired power plants also resulted in lower energy consumption and lower GHG emissions than at present. Furthermore, sensitivity analysis showed that drying SS with surplus heat from cement plants used less energy and emitted less GHG compared to the other two drying methods.

リンク情報
DOI
https://doi.org/10.2166/wst.2013.688
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201302253622832194
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/23552233
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000317587800006&DestApp=WOS_CPL
ID情報
  • DOI : 10.2166/wst.2013.688
  • ISSN : 0273-1223
  • eISSN : 1996-9732
  • J-Global ID : 201302253622832194
  • PubMed ID : 23552233
  • Web of Science ID : WOS:000317587800006

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