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A sustainable optimal biomass waste-driven CCHP system to boost the nearly zero energy building concept
Energy Conversion and Management ( IF 9.9 ) Pub Date : 2023-01-18 , DOI: 10.1016/j.enconman.2023.116669
Amir Ebrahimi-Moghadam , Mahmood Farzaneh-Gord

The aim of this work is focused on design of a sustainable tri-generation system driven by a biomass (MSW: municipal solid waste) externally-fired gas turbine cycle and utilizing a double-effect absorption chiller/heater. A robust framework based on energy, eco-exergy, and environmental analyses is developed to access the reliability of this proposal. An innovative optimization approach is then applied to reach the optimal sizing and operating conditions of the designed system. The novel optimization procedure is based on the combination of an Artificial Neural Network and multi-criteria Salp Swarm Algorithm. To make the outputs of the study applicable, a case study building is selected and the developed models are applied for satisfying its electrical, heating, and cooling demands. The building simulation is done with detailed real data and assumptions using by powerful energy architecture software. The results illustrated that the mass flow rate of MSW is the most effective variable on the system performance followed by the compressor pressure ratio. The eco-exergy analysis revealed that almost 40% and 23% of system’s total cost is respectively related to gas turbine and gasifier. At the optimal operation, the system could produce 541 kW of electricity, 2052 kW of heat, and 2650 kW of cold. The levelized cost of electricity generation is obtained as 0.083 $/kWh with environmental factor of 1.33 kgCO₂/kWh.



中文翻译:

可持续优化的生物质废物驱动 CCHP 系统,以推动近零能耗建筑概念

这项工作的目的是设计一个可持续的三联产系统,该系统由生物质(MSW:城市固体废物)外燃式燃气轮机循环驱动,并利用双效吸收式制冷机/加热器。开发了一个基于能源、生态火用和环境分析的稳健框架,以获取该提案的可靠性。然后应用创新的优化方法来达到设计系统的最佳尺寸和运行条件。新颖的优化程序基于人工神经网络和多标准萨尔普群算法的组合。为了使研究成果适用,我们选择了一个案例研究建筑,并应用开发的模型来满足其电力、供暖和制冷需求。建筑模拟是通过强大的能源架构软件使用详细的真实数据和假设完成的。结果表明,MSW 的质量流量是对系统性能最有效的变量,其次是压缩机压力比。生态火用分析显示,系统总成本的近 40% 和 23% 分别与燃气轮机和气化炉有关。在最佳运行状态下,该系统可产生 541 千瓦的电力、2052 千瓦的热量和 2650 千瓦的冷量。发电的平准化成本为 0.083 $/kWh,环境系数为 1.33 kg 生态火用分析显示,系统总成本的近 40% 和 23% 分别与燃气轮机和气化炉有关。在最佳运行状态下,该系统可产生 541 千瓦的电力、2052 千瓦的热量和 2650 千瓦的冷量。发电的平准化成本为 0.083 $/kWh,环境系数为 1.33 kg 生态火用分析显示,系统总成本的近 40% 和 23% 分别与燃气轮机和气化炉有关。在最佳运行状态下,该系统可产生 541 千瓦的电力、2052 千瓦的热量和 2650 千瓦的冷量。发电的平准化成本为 0.083 $/kWh,环境系数为 1.33 kg二氧化碳/千瓦时。

更新日期:2023-01-19
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