| Summary: | 碩士 === 國立清華大學 === 工業工程與工程管理學系 === 104 === To achieve the goals of assuring nuclear security, steadily reducing nuclear dependence, creating a low-carbon energy environment and gradually establishing a nuclear-free homeland, an energy policy was implemented by the Taiwanese government in November 2011. In the meantime, the Government actively fulfilled the carbon reduction target and electricity stable supply policy under three major principles of international carbon reduction commitment without restricting electricity usage and with a valid electricity price. Consequently, the Government encourages private enterprises to generate electric power by renewable energy and sell back to the public enterprise.
This study proposes a two-stage analytical model to support private enterprises in evaluating the possible generation combination of renewable energy while considering the intermittence of renewable energy, environmental protection, generation cost, and given the monthly electricity demand. The model involves a parameter evaluation model developed to determine the capacity factor of renewable energies. A multi-objective model is also proposed to optimize the mixed generation of renewable energies, and minimize the carbon emission at a minimum cost. By substituting the result obtained from parameter evaluation models, the three goals can be achieved under the condition of balancing supply and demand for each month.
A case study of optimal mixed-generation of renewable energies was carried out at the National Tsing Hua University to illustrate and verify the proposed system. From parameter evaluation of solar energy, it can be observed that because the variation of capacity factor is attributed to performance ratio, the capacity factor and solar irradiance is highly correlated. As regard the wind energy, the capacity factor is proportional to the cube root mean of wind speed, so it will increase very fast respect to the high wind speed. The external cost of energy source remains a specific proportion of total cost in our optimal combination of energy sources, since each energy resource has a different carbon emission coefficient. At last, we perform sensitivity analysis to discuss the cost trend of energy sources under different carbon tax.
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