Multi-objective optimization and exergoeconomic analysis of a multi-generation system based on biogas-steam reforming

In the current work, a new design of a multi-generation integrated energy system powered by biogas energy is proposed, assessed, and optimized. To scrutinize the workability of the offered system, energy, exergy, exergo-economic, and economic investigations have been applied as robust tools to the evaluation of the system. Moreover, to boost the rate of hydrogen production rate, the steam reforming method and purification process are integrated into the systems. It is found that the designed multi-generation integrated energy system is able to generate 108.7 kW, 888.7 kW, and 703.3 kg/h, power, cooling load, and hydrogen, sequentially. Besides, it is determined that the energy and exergy efficiencies of the system are about 31.51% and 31.14%, sequentially. Furthermore, a comprehensive parametric evaluation is employed to appraise the influences of key variables on the operation of the system and relying on its achieved outcomes, two different optimization styles are established. From the optimization outcomes, it is remarked that in the multiobjective optimization mode, a TCOP of 16.23 S/GJ and a net power of 158.21 KW, are achievable.& COPY; 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

Automated summary

In this study, a new design of a multi-generation integrated energy system powered by biogas energy is proposed, assessed, and optimized. Energy, exergy, exergo-economic, and economic investigations are conducted to evaluate the system's performance. The designed system is capable of generating 108.7 kW of power, 888.7 kW of cooling load, and 703.3 kg/h of hydrogen. The energy and exergy efficiencies of the system are determined to be around 31.51% and 31.14%, respectively. Comprehensive parametric evaluation and optimization are performed to assess the influence of key variables on the system's operation, leading to the establishment of two different optimization styles. The optimization results show that a TCOP of 16.23 S/GJ and a net power of 158.21 kW can be achieved in the multiobjective optimization mode.