Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery
Многоцелeвая термоэкономическая стратегия оптимизации ORC для докритических и транс-критических циклов рекуперации бросового тепла
2015-04-09
SCID: 54.1/qmj7xpte
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Organic Rankine cyclesmulti-objective optimizationthermo-economic optimizationtranscritical and subcritical cycleswaste heat recovery
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Abstract (AI)
Organic Rankine cycles (ORCs) are an established technology to convert waste heat to electricity. Although several commercial implementations exist, there is still considerable potential for thermo-economic optimization. As such, a novel framework for designing optimized ORC systems is proposed based on a multi-objective optimization scheme in combination with financial appraisal in a post-processing step. The suggested methodology provides the flexibility to quickly assess several economic scenarios and this without the need of knowing the complex design procedure. This novel way of optimizing and interpreting results is applied to a waste heat recovery case. Both the transcritical ORC and subcritical ORC are investigated and compared using the suggested optimization strategy.
Key Findings
1
A novel ORC design framework combines multi-objective optimization with post-processing financial appraisal for thermo-economic system optimization.
2
The framework is demonstrated for waste heat recovery applications and supports comparison between transcritical and subcritical ORC configurations.
3
The methodology enables rapid assessment of multiple economic scenarios without requiring detailed knowledge of the complex ORC design procedure.
4
The study investigates both transcritical and subcritical cycles using a common optimization strategy to evaluate their thermo-economic performance.
Research Object
Subcritical and transcritical organic Rankine cycles (ORCs) for waste heat recovery
Research Subject
Multi-objective thermo-economic performance and optimization of ORC designs, including comparison of subcritical and transcritical configurations under different economic scenarios
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2015-04-09
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