TY - JOUR
T1 - China's regional assessment of renewable energy vulnerability to climate change
AU - Wang, Bing
AU - Ke, Ruo Yu
AU - Yuan, Xiao Chen
AU - Wei, Yi Ming
PY - 2014/12
Y1 - 2014/12
N2 - Renewable energy development is a major response to address the issues of climate change and energy security. The utilization of renewable resources, however, highly depends on the climate conditions, which may be impacted in the future due to global climate change. Based on literature analysis, this paper presents a general framework for renewable energy vulnerability assessment and applies grey cluster analysis method to demonstrate the features of vulnerability, and then employs the Simple Additive Weighting Approach to address the multiple-attribute decision problems of vulnerability assessment in China. The categorized results imply that the proposed index system is suitable for decision-making analysis and comparative analysis of renewable energy vulnerability to climate change in China. In terms of exposure part, the cluster results are complex and varied due to the unique combination of natural factors, social factors and the energy structure. In the sensitivity section, the results are presented on the distribution of areas rich in hydropower, wind power and solar energy potential. Moreover, the main results of this study are the higher renewable energy vulnerability of the poorer regions of China to climate change and the relative higher importance of adaptive capacity building in vulnerability management. Finally, policy recommendations on regional renewable energy vulnerability management are also made.
AB - Renewable energy development is a major response to address the issues of climate change and energy security. The utilization of renewable resources, however, highly depends on the climate conditions, which may be impacted in the future due to global climate change. Based on literature analysis, this paper presents a general framework for renewable energy vulnerability assessment and applies grey cluster analysis method to demonstrate the features of vulnerability, and then employs the Simple Additive Weighting Approach to address the multiple-attribute decision problems of vulnerability assessment in China. The categorized results imply that the proposed index system is suitable for decision-making analysis and comparative analysis of renewable energy vulnerability to climate change in China. In terms of exposure part, the cluster results are complex and varied due to the unique combination of natural factors, social factors and the energy structure. In the sensitivity section, the results are presented on the distribution of areas rich in hydropower, wind power and solar energy potential. Moreover, the main results of this study are the higher renewable energy vulnerability of the poorer regions of China to climate change and the relative higher importance of adaptive capacity building in vulnerability management. Finally, policy recommendations on regional renewable energy vulnerability management are also made.
KW - Climate change
KW - Grey cluster analysis
KW - Renewable energy
KW - Vulnerability
KW - Vulnerability scoping diagram
UR - http://www.scopus.com/inward/record.url?scp=84906255309&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2014.07.154
DO - 10.1016/j.rser.2014.07.154
M3 - Review article
AN - SCOPUS:84906255309
SN - 1364-0321
VL - 40
SP - 185
EP - 195
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
ER -