Abstract
Two different multi-objective optimization scenarios are carried out to determine the best design parameters of a bottoming cycle of a trigeneration system with a HCCI engine as prime mover. For the first scenario, the objective functions which are utilized in the optimization study are exergy efficiency and the sum of the unit costs of the system products. The system cost criteria is minimized, while the cycle exergy efficiency is maximized using an evolutionary algorithm. Exergy efficiency increases about 16.34%, and the reduction in the unit costs of the system products is about 10%. However, it is found that cooling capacity of the system is reduced about 83%. For the second scenario, the objective functions are considered to be the sum of the unit costs of the system products, net power generation, and exergy flow rate of refrigeration output. Employing the second scenario improves both power generation and cooling capacity of the system. The increase in exergy efficiency is about 5.61%. These are achieved with even a slight reduction in the system cost criteria.
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Appendix A
Appendix A
Considered relations for calculation of the purchase of equipment cost (PEC) for the system components of AWCC are as follows:
Pump (Rodríguez et al. 2012):
AWM turbine (Rodríguez et al. 2012):
Heat exchangers of absorption chiller (Mishra et al. 2004):
The costs of the throttling valves are assumed to be negligible (Gebreslassie et al. 2009; Vieira et al. 2009). All the heat exchangers in the AWM cycle are considered as shell and tube types (Berhane et al. 2009; Yan et al. 2003). The general equation of heat transfer from a surface is defined as follows (Pierobon et al. 2013; Sinnott and Towler 2009):
where Q is heat transferred rate, U is the overall heat transfer coefficient, A is heat transfer area, Ft is the temperature correction factor, and ΔTlm is logarithmic mean temperature difference.
For each heat exchanger, the overall heat transfer coefficient is given in Table A (Berhane et al. 2009; Yan et al. 2003). The following formula is used to convert the cost of purchasing equipment from the original year to reference year (Bejan and Moran 1996):
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Keyvan, B., Rahim, K.S. (2018). Thermoeconomic Multi-objective Optimization of an Ammonia-Water Power/Cooling Cycle Coupled with a HCCI Engine. In: Aloui, F., Dincer, I. (eds) Exergy for A Better Environment and Improved Sustainability 1. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-62572-0_65
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