TY - JOUR
T1 - Research on energy conservation and emissions reduction based on AHP-fuzzy synthetic evaluation model
T2 - A case study of tobacco enterprises
AU - Wang, Qian
AU - Han, Rong
AU - Huang, Qilu
AU - Hao, Jun
AU - Lv, Nan
AU - Li, Tianyang
AU - Tang, Baojun
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/11/10
Y1 - 2018/11/10
N2 - How to evaluate the effect of tobacco industry's technical measures for energy conservation and emissions reduction is important to promote the application of advanced technology. Motived by this purpose, this study applies the fuzzy comprehensive evaluation method to construct a comprehensive index and use the Analytic Hierarchy Process (AHP) and Delphi expert consultation method to determine weights of indicators. Furthermore, the comprehensive evaluation of nine core energy-saving technical measures of tobacco industry is made. The results show that, the comprehensive performance of refrigeration system's optimized technique energy efficiency index is the best, which is 0.73, followed by air conditioning system and lighting system, which are 0.62 and 0.60, respectively. These results may provide insightful support for decision makers to promote the energy conservation and emissions reduction of tobacco industry.
AB - How to evaluate the effect of tobacco industry's technical measures for energy conservation and emissions reduction is important to promote the application of advanced technology. Motived by this purpose, this study applies the fuzzy comprehensive evaluation method to construct a comprehensive index and use the Analytic Hierarchy Process (AHP) and Delphi expert consultation method to determine weights of indicators. Furthermore, the comprehensive evaluation of nine core energy-saving technical measures of tobacco industry is made. The results show that, the comprehensive performance of refrigeration system's optimized technique energy efficiency index is the best, which is 0.73, followed by air conditioning system and lighting system, which are 0.62 and 0.60, respectively. These results may provide insightful support for decision makers to promote the energy conservation and emissions reduction of tobacco industry.
KW - Analytic hierarchy process (AHP)
KW - Energy saving technology
KW - Fuzzy comprehensive evaluation
KW - Tobacco industry
UR - http://www.scopus.com/inward/record.url?scp=85053080233&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2018.07.270
DO - 10.1016/j.jclepro.2018.07.270
M3 - Article
AN - SCOPUS:85053080233
SN - 0959-6526
VL - 201
SP - 88
EP - 97
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -