توضیحات
ABSTRACT
Renewable energy is the inevitable choice for the sustainable development of society and economy. How to select the most appropriate renewable energy for a region is a complex multicriterion decision making (MCDM) problem. Taking Jilin Province as an example, this paper proposes a new MCDM method. In order to better express the hesitancy, inconsistency and uncertainty of decision makers’ preferences, linguistic hesitant fuzzy set (LHFS) is proposed. On the basis of cloud model, the rule of transforming LHFS to quantitative values is efined. Subsequently, the distance measure and support measure are established. In consideration of the interdependency of criteria, an LHFS aggregation operator based on improved Choquet integral is proposed. Finally, the ranking result of the aggregated LHFS corresponding to each renewable energy alternative is obtained according to the expectation values. The result shows that the preferred renewable energy for Jilin is biomass energy, followed by wind energy, hydro energy and solar energy. The validation analysis and comparison analysis are given to demonstrate the effectiveness of the proposed method.
INTRODUCTION
Energy has played an important role in the social and economic development of the world. So far, fossil fuels have occupied the vast majority of energy consumption. Nearly 81% of the world’s energies are provided by fossil fuels. It is predicted that the world’s average growth rate of energy consumption is 1.8% per year until 2030. With the growing demand of energy, conventional energy, especially for fossil fuels, raised fears of carbon emission, environment pollution and the depletion of fossil fuels. Such concerns drove many countries to develop and utilize renewable energy. Renewable energy is sustainable and environmentally friendly, for its energy is provided by naturally replenished outflow of energy without consuming natural resources. Thus, renewable energy has been paid more attention over the world in recent years. Various policies and investments were implemented to promote the utilization and development of renewable energy in different countries. In 2013, more than 144 countries made different renewable energy targets and policies to support renewable energy development.
Year: ۲۰۱۸
Publisher : ELSEVIER
By : Jiahang Yuan, Cunbin Li, Wenle Li, Ding Liu, Xiaopeng Li
File Information: English Language/ 26 Page / size: 1.33 MB
سال : ۱۳۹۶
ناشر : ELSEVIER
کاری از : Jiahang یوان، Cunbin لی، Wenle لی، دینگ لیو، Xiaopeng لی
اطلاعات فایل : زبان انگلیسی / 26 صفحه / حجم : MB 1.33
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