Multi-dimensional assessment and multi-objective optimization of electricity-cooling cogeneration system driven by marine diesel engine waste heat

Wang, Zhiping; Mo, Xiaoyu; Qin, Peijia; Zhao, Zhongkai; Ouyang, Tiancheng

doi:10.1016/j.jclepro.2021.130187

Cited by 20 publications

(2 citation statements)

References 57 publications

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“…Based on the bare module cost of each component, the total cost of the ORC system is obtained:

where

is none of the BORC. CEPCI (Chemical Engineering Plant Cost Index) is calculated according to the data in 2001 and 2020 [ 38 , 39 ],

= 397 and

= 668. It is noted that the cost of working fluid is neglected in this study as many works have revealed that it attributes to less than 1% of the total cost [ 40 , 41 ].…”

Section: Mathematical Modelmentioning

confidence: 99%

Multi-Objective Optimization of the Basic and Regenerative ORC Integrated with Working Fluid Selection

Zhou

Ruan

Hong

et al. 2022

Entropy

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A multi-objective optimization based on the non-dominated sorting genetic algorithm (NSGA-II) is carried out in the present work for the basic organic Rankine cycle (BORC) and regenerative ORC (RORC) systems. The selection of working fluids is integrated into multi-objective optimization by parameterizing the pure working fluids into a two-dimensional array. Two sets of decision indicators, exergy efficiency vs. thermal efficiency and exergy efficiency vs. levelized energy cost (LEC), are adopted and examined. Five decision variables including the turbine inlet temperature, vapor superheat degree, the evaporator and condenser pinch temperature differences, and the mass fraction of the mixture are optimized. It is found that the turbine inlet temperature is the most effective factor for both the BORC and RORC systems. Compared to the reverse variation of exergy efficiency and thermal efficiency, only a weak conflict exists between the exergy efficiency and LEC which tends to make the binary objective optimization be a single objective optimization. The RORC provides higher thermal efficiency than BORC at the same exergy efficiency while the LEC of RORC also becomes higher because the bare module cost of buying one more heat exchange is higher than the cost reduction due to the reduced heat transfer area. Under the heat source temperature of 423.15 K, the final obtained exergy and thermal efficiencies are 45.6% and 16.6% for BORC, and 38.6% and 20.7% for RORC, respectively.

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“…Based on the bare module cost of each component, the total cost of the ORC system is obtained:

where

is none of the BORC. CEPCI (Chemical Engineering Plant Cost Index) is calculated according to the data in 2001 and 2020 [ 38 , 39 ],

= 397 and

= 668. It is noted that the cost of working fluid is neglected in this study as many works have revealed that it attributes to less than 1% of the total cost [ 40 , 41 ].…”

Section: Mathematical Modelmentioning

confidence: 99%

Multi-Objective Optimization of the Basic and Regenerative ORC Integrated with Working Fluid Selection

Zhou

Ruan

Hong

et al. 2022

Entropy

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show abstract

“…Wu et al [31] designed an SCPC and an absorption refrigeration cycle combined system to harvest the engine exhaust gas waste heat. For marine applications, Wang et al [32] proposed four combined SCPC and ARC systems driven by marine diesel engine exhaust gas. They compared the performance of these systems and stated that the capital payback period of the best case is 6.85 years.…”

Section: Introductionmentioning

confidence: 99%

Supercritical CO2 Power Cycle and Ejector Refrigeration Cycle for Marine Dual Fuel Engine Efficiency Enhancement by Utilizing Exhaust Gas and Charge Air Heat

Jiang

Wang

et al. 2022

JMSE

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Dual fuel engines with LNG as fuel have become a feasible solution for ship power units in the current situation, but their fuel efficiency needs to be further enhanced to meet the increasingly stringent emission requirements. This paper designs a dual-loop system, including a supercritical CO2 power cycle and a thermally driven ejector refrigeration cycle, for recovering the exhaust gas and charge air heat of a marine dual fuel engine. The models of the waste heat recovery system, the evaluation indicators of the combined system, and the genetic algorithm optimization program are developed. Compared to the standalone machine, the waste heat recovery system can improve by about 9.3% of the engine’s fuel efficiency. The performance analysis shows that the ejector contributes to the highest share of exergy destruction and accounts for approximate 53% of the refrigeration cycle. There are optimal values for the compressor inlet temperature of about 8.1 MPa and for the turbine inlet temperature of about 305 °C. Finally, after optimization, the specific fuel consumption, fuel efficiency, and CO2 emissions of the combined system are around 137.9 g/kWh, 53.3%, and 537.4 g/kWh, respectively. It provides a feasible solution in which the charge air cooler can be wholly replaced by the ejector refrigeration cycle.

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Power prediction and packed bed heat storage control for marine diesel engine waste heat recovery

Ouyang,

Pan,

Tan

et al. 2024

Applied Energy

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Multi-dimensional assessment and multi-objective optimization of electricity-cooling cogeneration system driven by marine diesel engine waste heat

Cited by 20 publications

References 57 publications

Multi-Objective Optimization of the Basic and Regenerative ORC Integrated with Working Fluid Selection

Multi-Objective Optimization of the Basic and Regenerative ORC Integrated with Working Fluid Selection

Supercritical CO2 Power Cycle and Ejector Refrigeration Cycle for Marine Dual Fuel Engine Efficiency Enhancement by Utilizing Exhaust Gas and Charge Air Heat

Power prediction and packed bed heat storage control for marine diesel engine waste heat recovery

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