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Parametric investigation and thermo-economic multi-objective optimization of an ammonia–water power/cooling cycle coupled with an HCCI (homogeneous charge compression ignition) engine

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  • Bahlouli, K.
  • Khoshbakhti Saray, R.
  • Sarabchi, N.

Abstract

A parametric study and multi-objective optimization strategy are performed for a bottoming cycle of a trigeneration system with an HCCI (homogeneous charge compression ignition) engine as prime mover. To assess the influences of decision parameters on the performance and total cost of cycle, a parametric investigation is conducted. Two different multi-objective optimization scenarios are carried out to determine the best design parameters. 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 reduction in the unit costs of the system products is about 10%. However, it is found that cooling capacity of the system is reduced to 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 improved both power generation and cooling capacity of the system. The increase in exergy efficiency is 5.61%. These are achieved with even a slight reduction in the system cost criteria.

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  • Bahlouli, K. & Khoshbakhti Saray, R. & Sarabchi, N., 2015. "Parametric investigation and thermo-economic multi-objective optimization of an ammonia–water power/cooling cycle coupled with an HCCI (homogeneous charge compression ignition) engine," Energy, Elsevier, vol. 86(C), pages 672-684.
    • Handle: RePEc:eee:energy:v:86:y:2015:i:c:p:672-684
    DOI: 10.1016/j.energy.2015.04.022
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    Cited by:

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    2. Chandramouli, R. & Srinivasa Rao, M.S.S. & Ramji, K., 2015. "Parametric and optimization studies of reheat and regenerative Braysson cycle," Energy, Elsevier, vol. 93(P2), pages 2146-2156.
    3. Bahri, Bahram & Shahbakhti, Mahdi & Aziz, Azhar Abdul, 2017. "Real-time modeling of ringing in HCCI engines using artificial neural networks," Energy, Elsevier, vol. 125(C), pages 509-518.
    4. Meftahpour, Haleh & Saray, Rahim Khoshbakhti & Aghaei, Ali Tavakkol & Bahlouli, Keyvan, 2024. "Comprehensive analysis of energy, exergy, economic, and environmental aspects in implementing the Kalina cycle for waste heat recovery from a gas turbine cycle coupled with a steam generator," Energy, Elsevier, vol. 290(C).
    5. Keyvan Bahlouli & Nasser Lotfi & Mazyar Ghadiri Nejad, 2023. "A New Multi-Heuristic Method to Optimize the Ammonia–Water Power/Cooling Cycle Combined with an HCCI Engine," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    6. Khaljani, M. & Khoshbakhti Saray, R. & Bahlouli, K., 2015. "Thermodynamic and thermoeconomic optimization of an integrated gas turbine and organic Rankine cycle," Energy, Elsevier, vol. 93(P2), pages 2136-2145.
    7. Khaljani, M. & Saray, R. Khoshbakhti & Bahlouli, K., 2016. "Evaluation of a combined cycle based on an HCCI (Homogenous Charge Compression Ignition) engine heat recovery employing two organic Rankine cycles," Energy, Elsevier, vol. 107(C), pages 748-760.
    8. Zare, A. Darabadi & Saray, R. Khoshbakhti & Mirmasoumi, S. & Bahlouli, K., 2019. "Optimization strategies for mixing ratio of biogas and natural gas co-firing in a cogeneration of heat and power cycle," Energy, Elsevier, vol. 181(C), pages 635-644.
    9. Bahlouli, Keyvan & Khoshbakhti Saray, Rahim, 2016. "Energetic and exergetic analyses of a new energy system for heating and power production purposes," Energy, Elsevier, vol. 106(C), pages 390-399.

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