Reduction in Specific Energy Consumption of Overall Biogas Upgrading and Biomethane Liquefaction Process: Energy and Exergy Analysis

[Display omitted] •The operating conditions of the proposed integrated process are successfully improved.•The proposed optimization approach has reduced the gap between composite curves.•The proposed optimal process has reduced the specific energy consumption by 15.4 %.•The exergetic efficiency of t...

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Veröffentlicht in:Energy conversion and management 2022-11, Vol.271, p.116269, Article 116269
Hauptverfasser: Khan, Javed, Saif-ul-Allah, Muhammad Waqas, Qyyum, Muhammad Abdul, Ahmed, Faisal, Yasin, Muhammad, Hussain, Arif, Gillani, Zeeshan, Bazmi, Aqeel Ahmed
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Sprache:eng
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Zusammenfassung:[Display omitted] •The operating conditions of the proposed integrated process are successfully improved.•The proposed optimization approach has reduced the gap between composite curves.•The proposed optimal process has reduced the specific energy consumption by 15.4 %.•The exergetic efficiency of the proposed optimal process has enhanced by 20.9 %.•The sustainability index of the proposed process has increased from 3.78 to 9.04. Biogas is considered one of the most promising alternative renewable fuels, but raw biogas needs to be upgraded before its use in vehicles or injection into the natural gas grid, and the resulting biomethane be liquified to be transported to distant areas. Both, absorption for upgrading, and compression for liquefaction are energy-intensive processes that require performance enhancement in terms of reduction of specific energy consumption. For the commissioning of biogas upgrading and biomethane liquefaction at a single plant, it is indispensable to optimize the overall process of biogas upgrading and biomethane liquefaction. According to the best of the authors’ knowledge, the overall process has not yet been optimized for minimum specific energy consumption. This study proposes a fast-converging teaching learning self-study optimization approach to the overall process with a careful selection of decision variables and their bounds without breaching the process constraints. The results of optimization are compared with the base case in terms of parametric and composite curves analysis. The parametric analysis shows that teaching–learning self-study optimization has reduced the specific energy consumption of the overall process by 15.4 % as compared to the base case that optimized the upgrading and liquefaction processes independently. The individual-specific energy consumption of upgrading and liquefaction sections is reduced by 20.4 % and 5.8 %, respectively. The composite curves analysis reveals that the gap between hot and cold composite curves is reduced as compared to the base case that depicts the reduction in specific energy consumption. Moreover, the detailed thermodynamic evaluation revealed that the exergetic efficiency of the upgrading process compared to the base case significantly increased from 51.43 % to 92.98 % while the exergetic efficiency of the liquefaction section slightly increased from 80.23 % to 80.83 %, thus, resulting in an increase in exergetic efficiency of the overall process by 20.9 % compared to the
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2022.116269