Mathematical programming models that take into account both economical incentives and environmental penalties are formulated for the design of 'best' utility systems. To address environmental concerns, and improved version of the traditional MTLP model for utility network design is proposed. In the model formulation, the problem of cost minimization can be handled efficiency with an elaborate heat recovery scheme embedded in the modified superstructure, and the concept of global emission can be incorporated. By making use of the goal programming techniques, appropriate designs of the utility networks can be obtained according to the decision maker's priority. Basing from the experiences gathered in solving the improved MILP model, it is concluded that the proposed techniques are applicable for a wide variety of processes.
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Industrial and Manufacturing Engineering