A scenario-based interval-stochastic basic-possibilistic programming method for planning sustainable energy system under uncertainty: A case study of Beijing, China

Abstract

In this study, an interval-stochastic basic-possibilistic programming (ISBPP) method is developed for planning sustainable energy system (SES). ISBPP cannot only reflect multiple uncertainties expressed as interval-possibilistic variables and interval-stochastic-possibilistic parameters, but also facilitate analyzing tradeoff between economic objective and pollutant mitigation. The ISBPP method is then applied to planning the SES of Beijing, …