Econometric models for biohydrogen development

Biohydrogen is considered as an attractive clean energy source due to its high energy content and environmental-friendly conversion. Analyzing various economic scenarios can help decision makers to optimize development strategies for the biohydrogen sector. This study surveys econometric models of biohydrogen development, including input-out models, life-cycle assessment approach, computable general equilibrium models, linear programming models and impact pathway approach. Fundamentals of each model were briefly reviewed to highlight their advantages and disadvantages. The input–output model and the simplified economic input–output life-cycle assessment model proved most suitable for economic analysis of biohydrogen energy development. A sample analysis using input–output model for forecasting biohydrogen development in the United States is given.

► We survey econometric models of biohydrogen development.
► Including IO, LCA, LP, EIO-LCA, CGE, LP, econometric and IPA.
► Each model was reviewed and scored to highlight advantages and disadvantages.
► EIO-LCA is the most suitable for economic analysis of biohydrogen development.
► A sample using EIO-LCA for forecasting biohydrogen development in the US is given.