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DOI10.1016/j.jclepro.2018.12.051
Probabilistic multi-criteria assessment of renewable micro-generation technologies in households
Zhang, Chonghui1; Wang, Qin1; Zeng, Shouzhen2,3; Balezentis, Tomas4; Streimikiene, Dalia5; Alisauskaite-Seskiene, Ilona5; Chen, Xueli6
发表日期2019
ISSN0959-6526
EISSN1879-1786
卷号212页码:582-592
英文摘要

The planning of sustainable energy systems has been acknowledged as a multi-criteria decision making (MCDM) problem. However, most of the earlier literature has considered public and private impacts of the energy generation technologies in a stand-alone way. In this paper, it is argued that the sustainable planning of the energy systems and components thereof should involve both types of impacts simultaneously in the MCDM. To serve this aim, MCDM framework which incorporates the two types of information in the analysis, namely expert assessments for the public impacts and the willingness to pay measure for the private ones, is devised. The proposed MCDM framework involves the three MCDM techniques - the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the Evaluation Based on Distance from Average Solution (EDAS) and the weighted aggregated sum product assessment (WASPAS) - which represent different principles of aggregation. The integrated MCDM framework is then applied in the context of Lithuania to choose the most promising micro-generation technology. More specifically, solar thermal, solar panel, biomass boilers and micro wind installations are considered. The Monte Carlo simulation is implemented in order to ensure the robustness of the results assuming that the underlying weights are perturbed. (C) 2018 Elsevier Ltd. All rights reserved.


WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
来源期刊JOURNAL OF CLEANER PRODUCTION
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/94492
作者单位1.Zhejiang Gongshang Univ, Coll Stat & Math, Hangzhou, Zhejiang, Peoples R China;
2.Fudan Univ, Sch Management, Shanghai 200433, Peoples R China;
3.Ningbo Univ, Sch Business, Ningbo 315211, Zhejiang, Peoples R China;
4.Lithuanian Inst Agr Econ, Kudirkos Str 18-2, LT-10305 Vilnius, Lithuania;
5.Lithuanian Energy Inst, Breslaujos 3, LT-44403 Kaunas, Lithuania;
6.Chinese Acad Social Sci, Inst Journalism & Commun, 9 PanJiaYuanDongLi, Beijing 100021, Peoples R China
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GB/T 7714
Zhang, Chonghui,Wang, Qin,Zeng, Shouzhen,et al. Probabilistic multi-criteria assessment of renewable micro-generation technologies in households[J],2019,212:582-592.
APA Zhang, Chonghui.,Wang, Qin.,Zeng, Shouzhen.,Balezentis, Tomas.,Streimikiene, Dalia.,...&Chen, Xueli.(2019).Probabilistic multi-criteria assessment of renewable micro-generation technologies in households.JOURNAL OF CLEANER PRODUCTION,212,582-592.
MLA Zhang, Chonghui,et al."Probabilistic multi-criteria assessment of renewable micro-generation technologies in households".JOURNAL OF CLEANER PRODUCTION 212(2019):582-592.
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