Planning regional energy system in association with greenhouse gas mitigation under uncertainty

摘要: Abstract Greenhouse gas (GHG) concentrations are expected to continue rise due the ever-increasing use of fossil fuels and ever-boosting demand for energy. This leads inevitable conflict between satisfying increasing energy reducing GHG emissions. In this study, an integrated fuzzy-stochastic optimization model (IFOM) is developed planning systems in association with mitigation. Multiple uncertainties presented as probability distributions, fuzzy-intervals their combinations allowed be incorporated within framework IFOM. The method then applied a case study long-term regional system, where integer programming (IP) technique introduced into IFOM facilitate dynamic analysis capacity-expansion energy-production facilities multistage context satisfy demand. Solutions related fuzzy information obtained can used generating decision alternatives. results not only provide optimal resource/service allocation plans, but also help decision-makers identify desired policies mitigation cost-effective manner.