An Explanation of Energy Return on Investment From an Entropy Perspective

Frontiers in Energy Research

Yan Hu¹  Lianyong Feng²  Songlin Tang³  Yingchao Chen³  Chen Huang⁴ 

[1] SINOPEC Petroleum Exploration and Production Research Institute, Beijing, China;School of Economics and Management, China University of Petroleum, Beijing, China;School of Economics, Shandong Technology and Business University, Yantai, China;Shandong Synergistic Innovation Center of Energy and Economy, Yantai, China;School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, China;Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China;

关键词: EROI;    net energy;    entropy;    dissipative structure;    energy resource exploitation;   

DOI  :  10.3389/fenrg.2021.633528

来源: Frontiers

【 摘 要 】

Low-carbon energy transformation is a major trend in world energy development, and measures to mitigate carbon emissions can vary substantially in terms of the energy they require. A common method of evaluating energy use in energy resource exploitation is energy return on investment (EROI). One of the criticisms of EROI concerns uncertainty regarding the input and output factors for the calculation. To make the issue clear, we interpret EROI in terms of entropy, which is the most basic concept in physics. We consider an energy resource exploitation system to be a kind of dissipative structure and construct a basic entropy analysis framework for an energy resource exploitation system. We then derive the relationship between EROI and entropy change. The theory of EROI is consistent with the basic requirement for a dissipative structure, which is that the total entropy change must be negative. EROI is a method of using entropy theory to evaluate energy resource exploitation. It is inappropriate and unnecessary to quantify all factors as energy units as the input and output factors are multidimensional while energy is a one-dimensional standard. Future development of the EROI method should be guided by entropy theory. A series of EROI related indicators will increase its application and policy significance.

【 授权许可】

CC BY