Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment. (15th December 2021)

• Record Type: Journal Article
• Authors: Xu, Yue; Tian, Shu; Wang, Qingsong; Yuan, Xueliang; Ma, Qiao; Liu, Mengyue; Xu, Zhaopeng; Liu, Jixiang; Xu, Xiang; Liu, Chengqing
• Is Part Of: Energy. Volume 237(2021)
• Publication Date: 2021-12-15
• Subjects: Input-output analysis -- Industrial structure -- Multi-objective optimization -- Slack variable -- Energy-economic system; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2021.121650
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: As an effective means to alleviate the contradiction between energy and economy, industrial restructuring has gradually received widespread international attention. A two-stage optimization method is constructed from evaluation index system to multi-objective optimization model by taking industrial structure adjustment as the research object. In order that the adjustment of industrial structure is closer to the actual situation, an adjustment-rate-based multi-objective optimization model is also proposed by introducing an objective of minimum adjustment of industrial structure. China is selected as our case study. Results show that the 9.57 % of industrial adjustment, will lead to the increase of economic objective by 6.66 %, and the decrease of energy consumption by 5.36 %, which meets China's current high-quality development requirements. Meanwhile, a grouping proposal is established for each sector based on the range of industrial scale adjustment in comprehensive preference. By comparing the optimization effect of different groups of sectors after energy efficiency improvement, the priority of energy efficiency improvement was identified. In addition, the uncertainty of slack variable is discussed to ensure the accuracy of the model, and conclude that the Chinese government should improve the diversity of energy import. The above conclusions can provide useful references for the development of industrial restructuring plans. Graphical abstract: Image 1 Highlights: EIS provides qualitative judgment for constraints setting. ARMOM is proposed for more efficient industrial adjustment. All sectors are classified based on the adjustment range. Decreasing the energy intensity of DP has the best effect. Effects of uncertainty in the slack variable are discussed.