On the design and analysis of long-term low-carbon roadmaps: A review and evaluation of available energy-economy-environment models

To achieve the goal of carbon neutrality, society must undertake a comprehensive green transformation and build a decarbonization roadmap. Model simulation is a primary method for designing and analyzing long-term low-carbon roadmaps. This paper aims to examine the various capabilities of Energy-Economy-Environment (3E) models to gain an intuitive understanding of the current status, as well as future development directions and potential, from a low-carbon analysis perspective. By reviewing various existing 3E models considering their modeling approach, theoretical framework and spatiotemporal resolution, the 10 most representative models are selected for an in-depth analysis. According to the evaluation results of the selected models while considering five challenges for future model development, most models perform well in terms of techno-economic resolution and transparency. However, there is still potential for improvement regarding spatiotemporal resolution and the consideration of social factors. Moreover, to bridge the gap between top-down models and the real-world context, it is recommended to combine them with bottom-up models to form hybrid models. Generally, the PRIMES model demonstrates the best overall performance, although it cannot be regarded as perfect. The review and assessment results can provide references for modelers to improve 3E models and serve as a basis for users to choose the most suitable model. •Ten typical 3E models with the highest use frequency are summarized and classified.•Challenges of 3E models for long-term low-carbon roadmaps research are discussed.•An evaluation framework is established for 3E models considering five abilities.•The prospects for future development of 3E models are proposed.