4.7 Article

Multi-criteria optimization for a biomass gasification-integrated combined cooling, heating, and power system based on life-cycle assessment

期刊

ENERGY CONVERSION AND MANAGEMENT
卷 178, 期 -, 页码 383-399

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2018.10.043

关键词

Combined cooling, heating, and power system; Biomass gasification; Multi-criteria optimization; Life-cycle assessment

资金

  1. Key Project of the National Science Foundation of China [51561145012]
  2. Sino-Thai Cooperation Research Project under National Research Council of Thailand

向作者/读者索取更多资源

A multi-criteria optimization for a biomass gasification-integrated combined cooling, heating, and power (CCHP) system based on life-cycle assessment is carried out. The criteria comprise primary energy saving ratio (PESR), total cost saving ratio (TCSR), and CO2 emission reduction ratio (CERR). The overall-performance criterion, Cl, is obtained with Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS). Results show that the Cl reaches its maximum when the nominal electric output is 1572.8 kW, the biomass feedstock type is wood pellet, and the operation strategy is following the electric load (FEL). The PESR, TCSR, CERR, and Cl are 0.101, 0.271, 0.498, and 0.867, respectively. By comparing with reference systems, it is found that in FEL mode, the system is improved because of higher energy utilization efficiency and better use of economic and environmental advantages of biomass. In following the thermal load (FTL) mode, economic performance is compromised for optimal overall performance. Sensitivity analysis is carried out to find out the effect of variation of various parameters on optimization results. It is found that the variation of a single-aspect parameter could affect the system performance on all aspects. The variation of primary energy consumption per unit electricity from the grid (pec(en,g)) has the greatest effect on optimization results. The corresponding variation ranges of PESR, TCSR, and CERR owing to its variation are from -0.063/0.231/0.473 to 0.284/0.295/0.624 and from -0.029/0.101/0.314 to 0.194/0.123/0.379 in FEL and FTL modes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据