Optimization of Cogeneration in Sugar industry by Mixed integer linear programming Method

Abstract

Cogeneration plants concurrently produce electricity and heat energy. In sugar industry bagasse can be utilized efficiently for generation of thermal and electrical energy. The present study includes optimal scheduling of boiler and generator units for generation of steam and electricity. The mixed integer linear programming (MILP) mathematical formulation is proposed to determine optimal planning. The existing sugar industry under consideration does not sell electricity to grid or other utility. The optimal planning and scheduling of sugar industry components in view of power export indicates reduction in annual cost of sugar industry. The proposed MILP model can be helpful for planner of sugar industry to consider power export option in the existing sugar industry. The study shows clear benefit and efficient utilization of boiler and generator units of the industry after satisfying the thermal and electrical demands.