Multi-objective optimization with thermodynamic analysis of an integrated energy system based on biomass and solar energies

• Published in: Journal of cleaner production 2021-11, Vol.324, p.129257, Article 129257
• Main Authors: Wang, Jiangjiang, Dong, Fuxiang, Ma, Zherui, Chen, Haiyue, Yan, Rujing
• Format: Article
• Language: English
• Subjects: Biomass gasification; Integrated energy system (IES); Multi-objective optimization; NSGA-II; Thermodynamic analysis
• ISSN: 0959-6526; 1879-1786
• DOI: 10.1016/j.jclepro.2021.129257

The integrated energy system (IES) can effectively utilize the distributed renewable energies, but its performance improvement requires advanced design and optimization methods. This study proposes a new IES based on biomass gasification integrated with an internal combustion engine, photovoltaic and solar collectors, an absorption chiller/heater, a heat pump and a thermal storage unit to utilize renewable energies effectively. Based on the thermodynamic models of components considering off-design conditions, a multi-objective optimization model of biomass IES is established to improve the comprehensive performances of energy, economy, and environment. A decision method is proposed to select the optimal configuration considering the Euclidean distance between the Pareto solution and the ideal solution. The results demonstrate that in the specific case, the capacity of the internal combustion engine with biomass gasification is preferred to be low, and 71.4% of Pareto solutions is less than 200 kW during the set range from 20 to 1,000 kW. The larger capacity of solar photovoltaic panels achieves more benefits than solar heat collectors. Moreover, the optimal IES determined by the minimum Euclidean distance has primary energy utilization efficiency of 43.4% and exergy efficiency of 18.0%, which saves primary energy of 7.1%, the annual total cost of 7.2%, and reduces carbon dioxide emission by 41.5%. •An integrated energy system combining biomass energy and solar energy is designed.•The thermodynamic models of components take into account the off-design conditions.•A multi-objective optimization model of the system is built.•The annual total cost and CO2 emissions are reduced by 7.2% and 41.5%, respectively.•The performance of the system in multiple time scales is analyzed.