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INTEGRATES ASSESSMENT MODELS (IAMS) APPLIED TO CLIMATRE CHANGE AND ENERGY TRANSITION

The climate change that is currently occurring is due to the increase in the concentration of greenhouse gases (GHG) in the atmosphere as a result of human activity. The large number of factors and variables that directly or indirectly affect GHG emissions, as well as the multiple and complex relationships between them, makes it difficult to make decisions on the best measures to be adopted to slow down or mitigate climate change and to analyze the consequences that each decision entails. This has led to the development of complex simulation models called Integrated Assessment Models (IAMs) or Energy-Economy-Environment Models (E3 models), with a particular focus on climate change. The development and use of these models to guide policy decisions on climate change has grown very significantly in recent years, as evidenced by the reports of the Intergovernmental Panel on Climate Change (IPCC). This paper is a panoramic review of the main existing IAMs and analyzes their main characteristics. The paper focuses especially on the analysis of the limitations of the current IAMs, which should mark the future developments of these tools.