Kuo Yu-Ming, Fukushima Yasuhiro
Department of Environmental Engineering, National Cheng Kung University, Tainan City, Taiwan, Republic of China.
J Air Waste Manag Assoc. 2009 Mar;59(3):360-72. doi: 10.3155/1047-3289.59.3.360.
To achieve higher energy security and lower emission of greenhouse gases (GHGs) and pollutants, the development of renewable energy has attracted much attention in Taiwan. In addition to its contribution to the enhancement of reliable indigenous resources, the introduction of renewable energy such as photovoltaic (PV) and wind power systems reduces the emission of GHGs and air pollutants by substituting a part of the carbon- and pollutant-intensive power with power generated by methods that are cleaner and less carbon-intensive. To evaluate the reduction potentials, consequential changes in the operation of different types of existing power plants have to be taken into account. In this study, a linear mathematical programming model is constructed to simulate a power mix for a given power demand in a power market sharing a cost-minimization objective. By applying the model, the emission reduction potentials of capacity extension case studies, including the enhancement of PV and wind power introduction at different scales, were assessed. In particular, the consequences of power mix changes in carbon dioxide, nitrogen oxides, sulfur oxides, and particulates were discussed. Seasonally varying power demand levels, solar irradiation, and wind strength were taken into account. In this study, we have found that the synergetic reduction of carbon dioxide emission induced by PV and wind power introduction occurs under a certain level of additional installed capacity. Investigation of a greater variety of case studies on scenario development with emerging power sources becomes possible by applying the model developed in this study.
为实现更高的能源安全并降低温室气体(GHGs)和污染物排放,可再生能源的发展在台湾备受关注。除了有助于增强可靠的本土资源外,引入光伏(PV)和风能发电系统等可再生能源,通过用清洁且碳密集度较低的发电方式所产生的电力替代部分碳密集型和污染物密集型电力,从而减少了温室气体和空气污染物的排放。为评估减排潜力,必须考虑不同类型现有发电厂运营中的相应变化。在本研究中,构建了一个线性数学规划模型,以模拟电力市场中满足给定电力需求且以成本最小化为目标的电力组合。通过应用该模型,评估了包括不同规模增强光伏和风能发电引入的容量扩展案例研究的减排潜力。特别地,讨论了电力组合变化对二氧化碳、氮氧化物、硫氧化物和颗粒物的影响。考虑了季节性变化的电力需求水平、太阳辐射和风强度。在本研究中,我们发现引入光伏和风能发电在一定额外装机容量水平下会协同减少二氧化碳排放。通过应用本研究开发的模型,对更多关于新兴电源情景发展的案例研究进行调查成为可能。