A deterministic quantitative model has been developed to compare the technical, economical and environmental feature of various electric power generating plants. The model, which is based on matrix operations, is used in evaluating the various aspects of energy sources available for electricity generation systems in a developing country. Several energy sources which could be considered for production of electricity to meet current and future electricity demands have been chosen. These will include fossil fuel fired, nuclear, and natural-renewable energy power plants. And, a set of criteria for optimized selection includes five area of concerns: energy economy, energy security, environmental protection, socio-economic development and technological aspects for the electric power generations. The model developed in this study is applied to the Indonesian’s electric power sector development. Most of the data required are obtained from various sources related to power industry in Indonesia, such as the electricity generating authority of Indonesia (Perusahaan Listrik Negara, PLN), Government of Indonesia, World Bank, Asian Development Bank, United Nations, and other sources, both in published and public domains. The result of this study will be a ranking of energy sources for Indonesia power generation systems based on the Euclidean composite distance of each alternative to the designated optimal source of energy.
Optimizing Selection of Appropriate Power Generation Systems in Indonesia By Using Distance Based Approach Method
Contributed by the Advanced Energy Systems Division and presented at the International Joint Power Generation Conference of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS, Phoenix, Arizona, June 24–26, 2002. Manuscript received at the AES Division, Dec. 2002; revised manuscript received Oct. 2003. Associate Editor S. M. Aceves.
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Widiyanto , A., Kato , S., and Maruyama, N. (May 4, 2004). "Optimizing Selection of Appropriate Power Generation Systems in Indonesia By Using Distance Based Approach Method ." ASME. J. Energy Resour. Technol. March 2004; 126(1): 63–71. https://doi.org/10.1115/1.1649740
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