Abstract Research on climate change and global warming on the power generation systems are rapidly increasing because of the Importance of the sustainable energy supply, thus the electricity supply since its growing share, in the end, uses energy supply. However, some researchers conducted this field, but many research gaps are not mentioned and filled in this field’s literature since the lack of general statements and the quantitative models and formulation of the issue. In this research, an exergy-based model is implemented to model a set of six power generation technologies (combined cycle, gas turbine, nuclear plant, solar PV, and wind turbine) and use this model to simulate each technology’s responses to climate change impacts. Finally, using these responses to define and calculate a formulation for the relationship between the system’s energy performance in different environmental situations and a dimensionless index to quantize each power technology’s reliability against the climate change impacts called the Pahlev reliability index (P-index) of the power technology. The results have shown that solar and nuclear technologies are the most, and wind turbines are the least reliable power generation technologies.

中文翻译：

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衡量发电技术对气候变化的恢复能力

摘要 由于可持续能源供应的重要性，对发电系统的气候变化和全球变暖的研究正在迅速增加，因此电力供应由于其份额越来越大，最终使用能源供应。然而，一些研究人员开展了该领域，但由于缺乏一般性陈述和对该问题的定量模型和表述，该领域的文献中没有提及和填补许多研究空白。在本研究中，实施基于火用的模型对六种发电技术（联合循环、燃气轮机、核电站、太阳能光伏和风力涡轮机）进行建模，并使用该模型来模拟每种技术对气候变化影响的响应. 最后，使用这些响应来定义和计算系统在不同环境条件下的能源性能之间的关系的公式，以及量化每种电力技术对气候变化影响的可靠性的无量纲指数，称为电力技术的巴列夫可靠性指数（P-index） . 结果表明，太阳能和核能技术最多，风力涡轮机是最不可靠的发电技术。