Air pollutant and CO2 emissions mitigation in urban energy systems through a fuzzy possibilistic programming method under uncertainty

To address the increasing tension between energy activities and environmental protection, an energy and environment optimization model based on fuzzy possibilistic programming method is proposed. The proposed model can (i) generate optimized solutions for energy and environmental systems; (ii) tackle the uncertainties expressed as fuzzy sets in the goal, left-hand (e.g., economic data), and right-hand (e.g., energy demands) sides of constraints;…