基于隐含能的我国制造业完全能耗强度变动机理研究

项目名称： 基于隐含能的我国制造业完全能耗强度变动机理研究

项目编号： No.71503106

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 管理科学

项目作者： 李根

作者单位： 江苏科技大学

项目金额： 17万元

中文摘要： 把握隐含能源下完全能耗强度变动规律对挖掘制造业节能潜力极为重要。本项目以制造业为研究对象，基于隐含能视角，探究制造业完全能耗强度变动机理，以期提出系统科学的节能路径。研究包括：界定隐含能源和完全能耗强度内涵并测算我国制造业隐含能源及完全能耗强度；从物理-事理-人理系统方法论和投入产出分析视角全面分析制造业完全能耗强度变动的影响因素及作用机理；基于投入产出优化法，构建制造业完全能耗强度非线性优化模型并进行优化分析；基于主要影响因素，构建完全能耗强度路径分析模型，并给出我国制造业系统科学的节能路径。本项目研究成果既有益于丰富和完善能源经济与管理理论，拓展非线性优化研究领域，也有利于政府和制造企业开展系统科学的节能降耗工作。

中文关键词： 完全能耗强度；隐含能；变动机理；非线性优化

英文摘要： Grasping change law of complete energy consumption intensity based on embodied energy is very important for manufacturing industry to mine energy-saving potential. This project takes manufacturing industry as the study object，based on embodied energy consumption，it explores change mechanism of complete energy consumption intensity of manufacturing industry to put forward systematical and scientific energy saving path. The study includes：defining embodied energy and complete energy consumption intensity and measuring embodied energy and complete energy consumption intensity in China；comprehensively analyzing influence factors and mechanism of complete energy consumption intensity of manufacturing industry from the perspectives of Wuli-Shili-Renli system methodology and input-output analysis；constructing nonlinear optimization model of complete energy consumption intensity of manufacturing industry based on input-output optimization method and analyzing optimization result；constructing path analysis model of complete energy consumption intensity based on main influence factors and putting forward systematical and scientific energy saving path of manufacturing industry. The study result is beneficial to enrich and improve energy economics and management theory and expand study field of nonlinear optimization. It is also conducive for government and manufacturing enterprises to carry out work of energy saving and consumption reduction systematically and scientifically.

英文关键词： complete energy consumption intensity;embodied energy;change mechanism ;nonlinear optimization