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Exergoeconomic Analysis and Optimization of ORC

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Exergoeconomic Analysis and Optimization of ORC ( exergoeconomic-analysis-and-optimization-orc )

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thermal efficiency of 22% at 165 ̊C-170°C source temperatures (Fernandez et al., 2011). Exergy based fluid selection done by Herberle and Bruggemann (2010) compares a combined heat and power ORC system and regenerative ORC system preferring R227ea and isopentane as working fluids (Heberle et al., 2010). Optimization of organic Rankine cycles is performed throughout literature. Wei et al. (2007) propose a system using R245fa and perform a parametric optimization to maximize energy and exergy efficiency of the system. Bruno et al. (2008) apply parametric optimization techniques to a solar ORC used for reverse osmosis desalination. Thermal efficiency is optimized for the system, and then used for comparison in two geographical scenarios (Bruno et al., 2008). Sun and Li (2011) use the ROSENB optimization algorithm to maximize either thermal efficiency or net power generation. Heat source temperature and ambient dry bulb temperature show a near quadratic relationship with respect to thermal efficiency (Sun et al., 2011). Roy and Misra (2012) using parametric optimization compare R123 and R134a. First and second law efficiency is used to optimize the system resulting in optimum conditions in the range of 165°C – 250°C and 2.7 MPa for R123 (Roy et al., 2012). Jie et al. (2010) perform analysis on a regenerative ORC in a solar thermal setting. A thermal efficiency of 8.6% is realized with solar radiation of 750 W/m2 using a regenerative system, while 4.9% is realized without regeneration (Jie et al., 2010). Mago et al. (2008) explore a regenerative organic Rankine cycle using dry fluids. R245fa, R123 and iso-butane show improved performance using regeneration over non-regeneration. Lower heat input and no superheat is needed for a system which uses regeneration (Mago et al., 7

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