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Exergy based performance analysis of high efficiency poly-generation systems for sustainable building applications

机译:基于火用的高效多联产系统在可持续建筑中的性能分析

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In this study, first and second laws of thermodynamics, accompanying with Rational Exergy Management Method (REMM) were employed in developing a MATLAB based algorithm for natural gas fired, internal combustion engine (ICE) driven poly-generation systems. Two systems were studied based on a tri-generation plant built within the framework of the EU-FP6 HEGEL Project, tested at METU MATPUM (R1CBED) building. This study introduces a better set of metrics for rating, evaluating, and optimizing poly-generation systems in order to minimize emissions, maximize fuel savings, and thus to accomplish an optimum sustainability metric among the factors of environment, energy, human needs and economics. Results show that with ICE poly-generation systems, exergy efficiency may increase beyond 60%. Even at part loads, minimum values of Primary energy savings (PES) are 12.4% for Case-1 and 17.7% for Case-2 (compared to minimum allowed 10%). REMM efficiency and Exergy Embedded PES {PESR) evaluated by REMM are proven to be better indicators of the performance. When exergy destruction is lower, (waste heat is recovered) PESR increases significantly. PES_R values are minimum 18.2% for Case-1 and 42.4% for Case-2, which reveals that both systems provide high performance energy generation and considerably lower emissions.
机译:在这项研究中,热力学的第一定律和第二定律,连同合理的火用管理方法(REMM)被用于开发基于MATLAB的天然气,内燃机(ICE)驱动的多联产系统算法。基于在EU-FP6 HEGEL项目框架内建造的三代工厂对两个系统进行了研究,并在METU MATPUM(R1CBED)大楼进行了测试。这项研究引入了一套更好的衡量,评估和优化多联产系统的指标,以最大程度地减少排放,最大程度地节省燃料,从而在环境,能源,人类需求和经济因素之间实现最佳的可持续性指标。结果表明,使用ICE多联产系统,火用效率可能会提高60%以上。即使在部分负载下,情况1的一次能源节省(PES)的最小值也是如此,情况2的最小值为17.7%(相比之下,允许的最小值为10%)。 REMM评估的REMM效率和Exergy嵌入式PES {PESR)被证明是性能的更好指标。当(火用)破坏较低时((废热被回收))PESR显着增加。案例1的PES_R值最小,案例2的PES_R值最小为42.4%,这表明这两个系统都可以提供高性能的能源产生并大大降低排放。

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