This study focuses on the techno-economic bi-objective optimization of two promising configurations, a single-flash and a double-flash scheme, of the water scrubbing process for upgrading biogas produced from anaerobic digestion of agricultural residues to biomethane. Bi-objective optimization allows to identify the trade-off between energy consumption and capital costs. The black-box optimization strategy is used: the NSGA-II evolutionary algorithm optimized the process design variables and, for each sampled solution, first the process is simulated with Aspen Plus®, then sizes and costs of the equipment units are computed with calibrated correlations. The resulting Pareto front shows that the single-flash scheme is superior in terms of costs and energy loss when high methane slip (> 0.5 %) is acceptable. Moreover, the Pareto front highlights that when moving from the most efficient to the cheapest solution, the energy consumption increases considerably, up to 27 %, while the capital cost decreases by 17 %. The doubleflash scheme results competitive only if the methane slip must be limited.

Multi-objective optimization of the water scrubbing process for biogas upgrading

Magli, Francesco;Capra, Federico;Martelli, Emanuele;Gatti, Manuele
2017

Abstract

This study focuses on the techno-economic bi-objective optimization of two promising configurations, a single-flash and a double-flash scheme, of the water scrubbing process for upgrading biogas produced from anaerobic digestion of agricultural residues to biomethane. Bi-objective optimization allows to identify the trade-off between energy consumption and capital costs. The black-box optimization strategy is used: the NSGA-II evolutionary algorithm optimized the process design variables and, for each sampled solution, first the process is simulated with Aspen Plus®, then sizes and costs of the equipment units are computed with calibrated correlations. The resulting Pareto front shows that the single-flash scheme is superior in terms of costs and energy loss when high methane slip (> 0.5 %) is acceptable. Moreover, the Pareto front highlights that when moving from the most efficient to the cheapest solution, the energy consumption increases considerably, up to 27 %, while the capital cost decreases by 17 %. The doubleflash scheme results competitive only if the methane slip must be limited.
27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C
9780444639653
bi-objective optimization; Biogas upgrading; process design; water scrubbing; Chemical Engineering (all); Computer Science Applications1707 Computer Vision and Pattern Recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1045965
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