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Entropy generation minimization: A practical approach for performance evaluation of temperature cascaded co-generation plants

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  • Myat, Aung
  • Thu, Kyaw
  • Kim, Young Deuk
  • Saha, Bidyut Baran
  • Choon Ng, Kim

Abstract

We present a practical tool that employs entropy generation minimization (EGM) approach for an in-depth performance evaluation of a co-generation plant with a temperature-cascaded concept. Co-generation plant produces useful effect production sequentially, i.e., (i) electricity from the micro-turbines, (ii) low pressure steam at 250 °C or about 8–10 bars, (iii) cooling capacity of 4 refrigeration tones (Rtons) and (iv) dehumidification of outdoor air for air conditioned space. The main objective is to configure the most efficient configuration of producing power and heat. We employed entropy generation minimization (EGM) which reflects to minimize the dissipative losses and maximize the cycle efficiency of the individual thermally activated systems. The minimization of dissipative losses or EGM is performed in two steps namely, (i) adjusting heat source temperatures for the heat-fired cycles and (ii) the use of Genetic Algorithm (GA), to seek out the sensitivity of heat transfer areas, flow rates of working fluids, inlet temperatures of heat sources and coolant, etc., over the anticipated range of operation to achieve maximum efficiency. With EGM equipped with GA, we verified that the local minimization of entropy generation individually at each of the heat-activated processes would lead to the maximum efficiency of the system.

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  • Myat, Aung & Thu, Kyaw & Kim, Young Deuk & Saha, Bidyut Baran & Choon Ng, Kim, 2012. "Entropy generation minimization: A practical approach for performance evaluation of temperature cascaded co-generation plants," Energy, Elsevier, vol. 46(1), pages 493-521.
    • Handle: RePEc:eee:energy:v:46:y:2012:i:1:p:493-521
    DOI: 10.1016/j.energy.2012.07.062
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    2. Feng, Jing-Chun & Wang, Yi & Li, Xiao-Sen, 2016. "Energy and entropy analyses of hydrate dissociation in different scales of hydrate simulator," Energy, Elsevier, vol. 102(C), pages 176-186.
    3. Privat, Romain & Qian, Jun-Wei & Alonso, Dominique & Jaubert, Jean-Noël, 2013. "Quest for an efficient binary working mixture for an absorption-demixing heat transformer," Energy, Elsevier, vol. 55(C), pages 594-609.
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    5. Asinari, Pietro & Chiavazzo, Eliodoro, 2014. "The notion of energy through multiple scales: From a molecular level to fluid flows and beyond," Energy, Elsevier, vol. 68(C), pages 870-876.
    6. Torabi, Mohsen & Zhang, Kaili, 2014. "Classical entropy generation analysis in cooled homogenous and functionally graded material slabs with variation of internal heat generation with temperature, and convective–radiative boundary conditi," Energy, Elsevier, vol. 65(C), pages 387-397.
    7. Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio, 2014. "Performance analysis of turbulent convection heat transfer of Al2O3 water-nanofluid in circular tubes at constant wall temperature," Energy, Elsevier, vol. 77(C), pages 403-413.
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    9. Thu, Kyaw & Saha, Bidyut Baran & Chua, Kian Jon & Bui, Thuan Duc, 2016. "Thermodynamic analysis on the part-load performance of a microturbine system for micro/mini-CHP applications," Applied Energy, Elsevier, vol. 178(C), pages 600-608.

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