Generic superstructure synthesis of organic Rankine cycles for waste heat recovery in industrial processes

•Superstructure optimization methodology for organic Rankine cycle integration.•Superheating, reheating, turbine-bleeding and transcritical cycles are addressed.•A dynamic linearization technique for thermal streams is proposed.•Some issues with previous studies that were revealed by benchmarking ar...

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Veröffentlicht in:Applied energy Jg. 212; S. 1203 - 1225
Hauptverfasser: Kermani, Maziar, Wallerand, Anna S., Kantor, Ivan D., Maréchal, François
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 15.02.2018
Schlagworte:
case studies
Combined heat and power
electricity
energy
energy recovery
Genetic algorithm
heat recovery
heat transfer coefficient
industrial applications
Mixed integer linear programming (MILP)
Piece-wise linear envelope
Process integration
Supercritical Rankine cycle
system optimization
temperature
wastes
Mixed integer linear programming (MILP)
Supercritical Rankine cycle
Combined heat and power
Genetic algorithm
Piece-wise linear envelope
Process integration
ISSN:0306-2619, 1872-9118
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Zusammenfassung:•Superstructure optimization methodology for organic Rankine cycle integration.•Superheating, reheating, turbine-bleeding and transcritical cycles are addressed.•A dynamic linearization technique for thermal streams is proposed.•Some issues with previous studies that were revealed by benchmarking are addressed.•Results showed combinations of architectures yield thermo-economic benefits. Waste heat accounts for up to 70% of input energy in industrial processes which enunciates the importance of energy recovery measures to improve efficiency and reduce excessive energy consumption. A portion of the energy can be recovered within the process, while the rest is rejected to the environment as unavoidable [1] waste; therefore, providing a large opportunity for organic Rankine cycle (ORC)s which are capable of producing electricity from heat at medium-low temperatures. These cycles are often regarded as one of the best waste heat recovery measures but industrial applications are still limited due to the lack of comprehensive methodologies for their integration with processes. As such, this work proposes a novel and comprehensive superstructure optimization methodology for ORC integration including architectural features such as turbine-bleeding, reheating, and transcritical cycles. Additional developments include a novel dynamic linearization technique for supercritical and near-critical streams and calculation of heat transfer coefficients. The optimization problem is solved using a bi-level approach including fluid selection, operating condition determination and equipment sizing and is applied to a literature case study. The results exhibit that interactions between these elements are complex and therefore underline the necessity of such methods to explore the optimal integration of ORCs with industrial processes.
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ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2017.12.094