A new biomass-based hybrid energy system integrated with a flue gas condensation process and energy storage option: An effort to mitigate environmental hazards

被引:76
作者
Chang, Le [1 ]
Wu, Zhixin [2 ,3 ]
Ghadimi, Noradin [4 ]
机构
[1] Zhejiang Univ Water Resources & Elect Power, Coll Civil Engn & Architecture, Hangzhou 310018, Zhejiang, Peoples R China
[2] Zhejiang Univ Finance & Econ Dongfang Coll, Coll Business Adm, Haining 314408, Zhejiang, Peoples R China
[3] Zhejiang Univ Finance & Econ, Coll Business Adm, Hangzhou 310018, Zhejiang, Peoples R China
[4] Beyazit Univ AYBU, Dept Ind Engn, Ankara Yildirim, TR-06010 Ankara, Turkiye
关键词
Biomass energy; Flue gas condensation process; Hybrid energy system; Energy storage option; Environmental assessment; Thermoeconomic; POWER-PLANT; FUEL-CELL; SOLAR COLLECTOR; PROCESS DESIGN; MULTIGENERATION; EXERGY; CYCLE; GENERATION; PERFORMANCE; EFFICIENT;
D O I
10.1016/j.psep.2023.07.045
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The development of biomass-fueled cogeneration plants can be fruitful to achieve the sustainable development goals, due to the crises of fossil energy-fueled ones. Additionally, biomass fuels can offer higher reliability and more sustainable energy compared to the two more well-known renewables (i.e., solar and wind energies) due to the no dependence on environmental and weather conditions. The present article provides a comprehensive assessment (thermodynamic-design, exergoeconomic and environmental) and optimization of a new biomassdriven cogeneration plant cascaded with a heat recovery unit. The planned plant is based on a biomass gasification process, some thermodynamic power generation cycles based on steam and gas turbines (i.e., Rankine cycle, Brayton cycle, and organic Rankine cycle (ORC)), and flue gas condensation process. Besides, a compressed air energy storage system (CAESS) as an energy storage process is integrated with the considered plant to establish a balance between production and demand and reduce electricity costs. To achieve optimal performance, a multi-objective optimization (based on a genetic algorithm) is applied. The findings showed that by considering the multi-objective optimization techniques, the plant's exergy efficiency could improve by about 15%. At the same time, the exergy cost rate is reduced by almost 17.3%. Avoiding the payment of carbon tax and the high electricity production level in the on-peak consumption period are unique and competitive features of the proposed biomass-driven power plant. It was also found that the LCOE and the payback period were 13.27 USD/GJ and 2.03 years, respectively, therefore, the proposed power plant exhibits reasonable economic feasibility.
引用
收藏
页码:959 / 975
页数:17
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