Measuring Energy Efficiency of Power Plants Using Data Envelopment Analysis: A Bibliometric Study

Electricity resources have emerged as a global necessity, with increased demand coinciding with the issue of global warming and the resulting surge in greenhouse gas emissions. Improving power generation efficiency is crucial to addressing this critical problem. This article compiles and analyzes published research focused on efficiency measurement using Data Envelopment Analysis (DEA) in power plants, drawing data from two major journal databases: Web of Science and Scopus. A comprehensive screening process yielded a dataset comprising 162 articles within the realm of DEA in power plant analysis. A bibliometric analysis reveals interesting findings: the most prolific journal in this domain is “Energy Economy,” while “Energy Policy” holds the utmost influence. Notable contributors include China, Iran, and the United States, and an in-depth examination of the ten most impactful articles is also provided. Further scrutiny of citation networks and bibliographic coupling unveils various clusters with distinct thematic areas. Keywords: Data Envelopment Analysis (DEA), power generation, bibliometric