Abstract
The objective of this study is to construct two models to support decision making for energy systems of a metropolitan area. First, the future energy demand of the region is estimated based on a socio-economic development plan. Next, a planning problem for an energy supply system is formulated as a mathematical programming problem with multiple objective functions under the constraints of energy demand-supply balances and of environmental protections. Both the end-use energy price and the percentage of electricity generated within the region are reflected in the- objective functions. Applying the parametric algorithm in linear programming method, solutions which satisfy Pareto optimality have been derived. The feasibility of these two models has been ascertained through the positive study for Osaka City.
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