Hybrid Optimization Methodology (Exergy/Pinch) and Application on a Simple Process
Christelle Bou Malham,
Assaad Zoughaib,
Rodrigo Rivera Tinoco and
Thierry Schuhler
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Christelle Bou Malham: Mines ParisTech, Center of Energy Efficiency, PSL Research University, 91120 Palaiseau, France
Assaad Zoughaib: Mines ParisTech, Center of Energy Efficiency, PSL Research University, 91120 Palaiseau, France
Rodrigo Rivera Tinoco: Mines ParisTech, Center of Energy Efficiency, PSL Research University, 91120 Palaiseau, France
Thierry Schuhler: Total S.A., R&D Group, 92078 Paris La Defense, France
Energies, 2019, vol. 12, issue 17, 1-34
Abstract:
In the light of the alarming impending energy scene, energy efficiency and exergy efficiency are unmistakably gathering momentum. Among efficient process design methodologies, literature suggests pinch analysis and exergy analysis as two powerful thermodynamic methods, each showing certain drawbacks, however. In this perspective, this article puts forward a methodology that couples pinch and exergy analysis in a way to surpass their individual limitations in the aim of generating optimal operating conditions and topology for industrial processes. Using new optimizing exergy-based criteria, exergy analysis is used not only to assess the exergy but also to guide the potential improvements in industrial processes structure and operating conditions. And while pinch analysis considers only heat integration to satisfy existent needs, the proposed methodology allows including other forms of recoverable exergy and explores new synergy pathways through conversion systems. A simple case study is proposed to demonstrate the applicability and efficiency of the proposed method.
Keywords: pinch analysis; exergy analysis; operating conditions optimization; structural optimization; heuristics; industrial processes (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:17:p:3324-:d:261856
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