Energy System Optimization Model

Model developed


Zhou, X., Huang, G., Zhu, H., Chen, J., & Xu, J. (2015). Chance-constrained two-stage fractional optimization for planning regional energy systems in British Columbia, Canada. Applied energy, 154, 663-677.

University of Regina


Energy system optimization model (ESO) can help comprehensively examine energy systems and guide their strategic developments and policy making. The integration of CGE with optimization models represents an innovation for incorporating specific socio-economic sectors within an energy system framework. ESO can be used for concretely analyzing the benefits of various policy scenarios to socio-economic systems, and thus generating desired energy management plans that reflect trade-offs among various energy and socio-economic criteria. The model can report results for up to 30 years.


energy systems planning, capacity expansion, policy simulation


Government, energy industries

Key Inputs

basic energy structure, future prices and demands, input-output tables, social accounting matrices, environmental data, capacity factors, emission rates, mitigation efficiencies, and technical parameters

Key Outputs

energy utilization plans, electricity capacity expansion levels, energy system costs, industrial outputs, emission reduction levels, GDP impacts, and scenario analyses

Registered developers

Gordon HuangUniversity of Regina