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Advanced Performance of a CO2 Energy Storage Based Trigen

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Advanced Performance of a CO2 Energy Storage Based Trigen ( advanced-performance-co2-energy-storage-based-trigen )

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Appl. Sci. 2020, 10, 8341 7 of 17 The thermodynamic cycle-based method [33] is adopted in the work to compute each part of exergy destruction. This approach for splitting the exergy destruction into different parts is based on the analysis of thermodynamic cycles. When the method is used, the real thermodynamic cycle, unavoidable thermodynamic cycle, and hybrid thermodynamic cycle should be defined. The real cycle means that the components in the system operate with real processes. Conventional exergy analysis is conducted just depending upon this cycle. The unavoidable cycle is formed by using the current best operating parameter of the components, which is limited by the technological limitations. The unavoidable part can be written as: . UN . UN . realED,k   where 􏱃E. /E. D,k P,k equation: 3. Result and Discussion . UN . EN,UN . ENED,k  E =E  (24) D,k P,k  E.  P,k E =E   (23) D,k P,k E. P,k 􏱄UN is the unavoidability indicator. It is calculated through dividing product exergy by exergy destruction in the unavoidable cycle. In the hybrid cycle, the component considered operates with real condition. The other components work at ideal conditions [40]: the component exergy destruction reaches zero if possible or otherwise the minimum value. In this case, the endogenous exergy destruction of the kth component can be obtained directly. . EN,UN The unavoidable endogenous part of the exergy destruction ED,k is based on hybrid cycles and the cycle for the unavoidable exergy destruction mentioned above, and it is calculated by the following Detailed performance analyses are performed in this section through solving the real, unavoidable and hybrid thermodynamic cycles. The computing procedure is compiled in MATLAB and the fluid properties are resorted to the REFPROP database and subroutines. The flow chart of the calculation procedure is illustrated in Figure 2. Design parameters of the CCES-based CCHP system are shown in Table 2 and the three set of assumptions given for the real, unavoidable, and ideal cycles are summarized in Table 3. It is noted here that ambient temperature is chosen as the reference temperature for the exergy analysis in this work. The system exergy efficiency εtot at the real cycle is 56.25% while at the unavoidable cycle it is 74.79%. This demonstrates that the system efficiency can be enhanced largely, attracting interest in the CCHP system based on TC-CCES concept. In addition, the exergy efficiency is almost equivalent with the CCHP system based on CAES (εtot = 56.48 [18]). However, a large advantage of the system based on TC-CCES is its much higher exergy density (the ratio of total output exergy to the total volume of tanks [18]), 7.07 times of the value for CAES-based CCHP system. This authenticates the presented CCHP system as a promising option for satisfying the diversified need of users. Table 2. Design parameters of the developed CCHP system. Parameter Ambient temperature Ambient pressure Pressure of HST ∆pTV2 Inlet pressure of C1 Rated output power Unit Value K 298.15 MPa 0.1 MPa 16 MPa 4 MPa 0.8 MW 2

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