Abstract
The developments in technology have simultaneously changed our lives and exhausted energy resources since the 20th century. For example, using of fossil fuels has not only led to environmental problems such as greenhouse gas emissions, but has also significantly affected the international crude oil price, which has subsequently affected the national economy. The 2011 nuclear disaster in Fukushima, Japan attracted the interest of international bodies regarding nuclear energy, which has been originally regarded as a clean and safe energy resource. Based on these phenomena, the use of alternative energies must be investigated. The proposed Energy Supply-Mix model is a multi-objective model that measures the aspects of economy, security, and environment. This study adopts the top-down perspective to address the energy supply planning problem. The results of this model can be used by decision makers as reference when formulating policies. This study investigates three issues, namely, “strategic suggestion,” “optimal policy,” and “scenario analysis for critical issue.” “Strategic suggestion” is evaluated based on the current policies and by adopting the goal programming model. However, given the shortcomings of this model, including its excessive generation cost, this study develops an optimization program that derives the optimal energy supply-mix for a multi-objective problem at the lowest composite cost. The environmental issue of carbon tax is discussed via scenario analysis. The goal programming model provides efficient solutions for the current policies. Given the high economic costs of this model, another optimal balanced solution is devised by developing an Energy Supply-Mix model that provides an overall assessment of three aspects, namely, economy, security, and environment, under the conditions of balancing supply and demand, achieving the generation percentage of renewable energies, and satisfying the peak hour demand. This study takes the energy environment of Taiwan as an example and provides the efficient policies to support decision makers.