In this research, a fuzzy interval-parameter approach considering constraint-violation and energy-substitution effects (FIP-CVESE) was developed for planning municipal energy systems, which was an integration of interval linear programming (ILP) and fuzzy linear programming (FLP), as well as...

In this study, a feasibility based inexact fuzzy programming approach (FBIFP) was developed and applied to the planning of a regional electric power generation system (REPGS). As an extension of existing interval linear programming and fuzzy linear programming, FBIFP could tackle uncertainties...

Energy is crucial in supporting people’s daily lives and the continual quest for human development. Due to the associated complexities and uncertainties, decision makers and planners are facing increased pressure to respond more effectively to a number of energy-related issues and conflicts,...

The Chinese government has introduced numerous policies and development plans to boost its shale gas industry in recent years. However, China’s shale gas exploration and development is still in the initial stage and has been confronted with many challenges. This paper systematically analyzes...

In this study, a GFIPMIP (grey-forecasting interval-parameter mixed-integer programming) approach was developed for supporting IEEM (integrated electric-environmental management) in Beijing. It was an attempt to incorporate an energy-forecasting model within a general modeling framework at the...

In this study, a policy benefit real options model was developed to evaluate biomass power production investment in China. A method based on the cumulative probability was proposed using binomial decision tree calculations for the exercising of options in order to evaluate the optimal investment...