2019
DOI: 10.1016/j.apenergy.2019.04.081
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Thermal and economic analysis on vehicle energy supplying system based on waste heat recovery organic Rankine cycle

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Cited by 39 publications
(4 citation statements)
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“…Another alternative that has attracted attention in recent years is waste heat recycling. In the particular case of internal combustion engines, the use of waste heat from exhaust gases allows both a decrease in environmental pollution and a significant improvement in energy efficiency [37].…”
Section: Characteristics Of the Self-generating Industrial Sectormentioning
confidence: 99%
“…Another alternative that has attracted attention in recent years is waste heat recycling. In the particular case of internal combustion engines, the use of waste heat from exhaust gases allows both a decrease in environmental pollution and a significant improvement in energy efficiency [37].…”
Section: Characteristics Of the Self-generating Industrial Sectormentioning
confidence: 99%
“…The former leads to less pollutant engines, while the latter leads to higher engine efficiency. Several alternatives are available to recover waste thermal energy [10][11][12][13][14][15][16], thermoelectric generators being one of the currently developing technologies.…”
Section: Introductionmentioning
confidence: 99%
“…Through energy and exergy analysis, it was found that the total heat efficiency and the total exergy efficiency of the system were approximately 60.51% and 50.84%, respectively. Yue et al [18] compared the overall thermal and economic performance of the vehicle energy supply system with an independent organic Rankine cycle subsystem for waste heat recovery and the traditional vehicle energy supply system, and verified that the proposed system has significant advantages in both thermal and economic performance. Owebor et al [19] proposed an energy, exergy, environmental and economic analysis model for municipal waste-to-energy plants, and generate the solution and simulation of the model in Gasify, Engineering Equation Solver and MS Excel.…”
Section: Introductionmentioning
confidence: 99%