标题：A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China

作者：Zhao, X (Zhao, Xiang); Ma, XY (Ma, Xiaoya); Wang, K (Wang, Kun); Long, YQ (Long, Yuqing); Zhang, DJ (Zhang, Dongjie); Xiao, ZC (Xiao, Zhanchun)

来源出版物：SUSTAINABILITY卷：9 期：5文献编号：832 DOI：10.3390/su9050832 出版年：MAY 2017

摘要：Using agricultural straw to generate electricity is an effective approach for relieving the pressure of procuring a reliable energy supply and reducing environmental pollution. Because the locations of the power plants have a significant impact on the supply of raw materials and the cost of transportation, it is important to choose reasonable locations for power plants. To solve the problem of straw-based power plant site selection (SPPSS), in this paper, a spatially explicit optimization model is proposed. Compared to the existing research, the present study makes the following major contributions: (1) The agricultural land quality evaluation dataset, combined with the cropping system and theoretical yield information, is used as the basic data to estimate agricultural straw yields, thereby increasing the accuracy of the straw yield and spatial distribution estimates. (2) Geographic information system (GIS) techniques are employed to improve an artificial immune system (AIS), which is an effective and flexible approach for solving optimization problems. The Chinese province of Hubei is selected as the experimental area to evaluate the effectiveness of the proposed model. The experimental results demonstrate that of the 34.89 million tons of agricultural straw produced in Hubei Province each year, 17.45 million tons can be used for electricity generation. The optimization schemes generated by the proposed model are feasible. Our results are expected to provide an important decision-making basis for straw-based power plant (SPP) development planning in Hubei Province.

入藏号：WOS:000404127800157

文献类型：Article

语种：English

作者关键词： straw-based power plants; spatially explicit optimization model; location

扩展关键词： SUPPLY CHAIN OPTIMIZATION; GEOGRAPHICAL INFORMATION-SYSTEM; ARTIFICIAL IMMUNE-SYSTEMS; BIOENERGY FACILITIES; GEOSPATIAL ANALYSIS; GUANGDONG PROVINCE; GENETIC ALGORITHM; DECISION-SUPPORT; JIANGSU PROVINCE; BIOGAS PLANTS

通讯作者地址：Xiao, ZC (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Xiao, ZC (reprint author), Wuhan Univ, Journal Nat Sci, Wuhan 430072, Peoples R China.

电子邮件地址：zhaoxiang@whu.edu.cn; xma9@uncc.edu; wang_k@zju.edu.cn; yqlong2015@pku.edu.cn; zhang_dj@whu.edu.cn; xiaozhanchun@whu.edu.cn

地址：

[Zhao, Xiang; Ma, Xiaoya; Wang, Kun; Long, Yuqing; Zhang, Dongjie; Xiao, Zhanchun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Ma, Xiaoya] Univ N Carolina, Dept Geog & Earth Sci, 9201 Univ Blvd, Charlotte, NC 28223 USA.

[Wang, Kun] Zhejiang Univ, Dept Land Management, Hangzhou 310058, Zhejiang, Peoples R China.

[Long, Yuqing] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China.

[Xiao, Zhanchun] Wuhan Univ, Journal Nat Sci, Wuhan 430072, Peoples R China.

研究方向：Science & Technology - Other Topics; Environmental Sciences & Ecology

ISSN：2071-1050

影响因子：1.789