Computer-Aided Modeling & Simulation Environment for Green Energy Production Chain Planning

There are major challenges for current energy production where cost and environmental impacts are forcing energy producers to find alternative solutions. This research paper presents intelligent algorithm and modeling and simulation methodology to evaluate new energy production scenarios. Genetic algorithm method is used to select the most optimum solution in terms of cost and environmental impacts based on proposed energy. On the basis of POOM process object-oriented modeling methodology, scenario generation algorithm is proposed where geographical information is managed within GIS or geographical information system. Case study is used to present the proposed energy planning approach to meet new energy requirements.