4.7 Article

Route selection for low-carbon ammonia production: A sustainability prioritization framework based-on the combined weights and projection ranking by similarity to referencing vector method

期刊

JOURNAL OF CLEANER PRODUCTION
卷 193, 期 -, 页码 263-276

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2018.05.054

关键词

Low-carbon ammonia production; Sustainability prioritization; Criteria system; Combined weights; PRSRV method

资金

  1. National Science Foundation of China [21776025]
  2. National Key R&D Program of China [2017YFB0603105]
  3. China Scholarship Council [201606050079]
  4. Fundamental Research Funds for the Central Universities [106112017CDJXY220005, 106112017CDJXF220009, 106112017CDJPT220001, 106112017CDJQJ228809, 106112017CDJXFLX0014]

向作者/读者索取更多资源

In this study, a mathematical framework was developed for the sustainability prioritization of alternative low-carbon ammonia production routes. In the framework, a four-dimensional assessment system that can incorporate both quantitative and qualitative criteria from the environmental, economic, social political, and technical concerns was firstly established. Subsequently, a hybrid Entropy-FANP method was employed to determine the criteria's weight by combining the objective data and subjective opinions; a novel PRSRV approach was developed to rigorously rank the alternative routes by aggregating the absolute sustainability performance and relative sustainability balance of each alternative. The proposed framework was applied to prioritize five promising low-carbon routes for ammonia production, i.e. wind turbine electrolysis (WGEA), solar photovoltaic electrolysis (PVEA), hydropower electrolysis (HPEA), biomass gasification electrolysis (BGEA), and nuclear high temperature electrolysis (NTEA), yielding the sustainability ranking of HPEA > BGEA > WGEA > PVEA > NTEA. The robustness and effectiveness of the proposed framework were verified by conducting the sensitivity analysis and comparing the results determined by the proposed framework with those determined using the previous approaches. (C) 2018 Elsevier Ltd. All rights reserved.

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