globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jclepro.2018.12.051
WOS记录号: WOS:000457952500050
论文题名:
Probabilistic multi-criteria assessment of renewable micro-generation technologies in households
作者: Zhang, Chonghui1; Wang, Qin1; Zeng, Shouzhen2,3; Balezentis, Tomas4; Streimikiene, Dalia5; Alisauskaite-Seskiene, Ilona5; Chen, Xueli6
通讯作者: Zeng, Shouzhen
刊名: JOURNAL OF CLEANER PRODUCTION
ISSN: 0959-6526
EISSN: 1879-1786
出版年: 2019
卷: 212, 页码:582-592
语种: 英语
英文关键词: Willingness to pay ; Micro-generation technologies ; Multi-criteria decision making ; Monte Carlo simulation
WOS关键词: DECISION-MAKING TECHNIQUES ; SUSTAINABILITY ASSESSMENT ; CLIMATE-CHANGE ; ENERGY TECHNOLOGIES ; WASPAS METHOD ; MANAGEMENT ; VALUATION ; ELECTRICITY ; ADAPTATION ; ACCEPTANCE
WOS学科分类: Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向: Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
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.


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被引频次[WOS]:55   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/131414
Appears in Collections:气候变化事实与影响

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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

Recommended Citation:
Zhang, Chonghui,Wang, Qin,Zeng, Shouzhen,et al. Probabilistic multi-criteria assessment of renewable micro-generation technologies in households[J]. JOURNAL OF CLEANER PRODUCTION,2019-01-01,212:582-592
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