COMPUTER-AIDED MODELING & SIMULATION ENVIRONMENT FOR GREEN ENERGY PRODUCTION CHAIN PLANNING

摘要：

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.

关键词： Energy production chain Renewable sources Green energy production LCA Supply chain modeling

作者: HOSSAM A.GABBAR HANAA E.SAYED FUAD ABULFOTUH YOSHIYUKI YAMASHITA DAVID L.WALTZ

作者单位: Division of Industrial Innovation Sciences, Graduate School of Natural Science & Technology, Okayama Middle East Center for Energy & Environmental Technology, Arab Academy for Science & Technology, and Department of Chemical Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho Center for Computational Learning Systems, Columbia University, NY, USA

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2049-2057

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）