Thermoeconomic analysis and Multi-Objective optimization for the synthesis of green hydrogen and three different products via a novel energy system
Thermoeconomic analysis and Multi-Objective optimization for the synthesis of green hydrogen and three different products via a novel energy system
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通过新型能源系统合成绿色氢和三种不同产品的热经济分析和多目标优化
DOI：
10.1016/j.fuel.2022.125003
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发表时间：
2022-11
期刊：
影响因子：
7.4
通讯作者：
Li Feng
中科院分区：
文献类型：
--
作者：
Bingzhi Liu;Haitao Lu;Li Feng
·考察了同时产生绿色氢气、甲烷、电力和饮用水的情况。基于运行经济性的观点，在EES软件中对所提出的装置进行了仿真。·通过多目标优化确定了系统的最佳运行点。·绿色氢气将在平衡的操作条件下以2.3公斤/小时的速度生产。·在最佳条件下，火用生产率为12.76%，总成本为61.69美元/GJ。本文提出了一种基于抛物面槽式太阳能集热场、朗肯循环和质子交换膜的集成能量转换系统，在发电和淡水的同时产生绿色氢气和甲烷。本研究考察了可再生能源整合前后有效变量对能源和经济因素的影响。利用工程方程解算器对系统进行了仿真，得到了预期的结果。通过将多准则遗传进化算法应用到系统中，使用遗传进化算法编码来寻找工厂的最优运行环境。从能量的角度分析，在最佳操作条件下，火用生产率为12.76%，总成本为61.69美元/GJ。对多目标优化模型的进一步优化表明，在能量生产率和成本之间适当平衡的最优运行方案，其最大能量生产率为13.29%，成本为63.96美元/GJ。最优工作条件依次为：(火用)效率为10.01%，总成本为60.21美元/GJ。此外，在平衡的操作条件下，将以2.28公斤/小时的速度生产氢气。用凝汽器代替凝汽器，是优化系统运行、降低总成本的有力途径。
• The simultaneous generation of the green hydrogen, methane, power, and drinking water were examined. • The offered plant was simulated in EES software based on exergoeconomic point of view. • Optimal operating point for the system was determined via multi-objective optimization. • The green hydrogen would be produced at a rate of 2.3 kg/h under well-balanced operating circumstances. • The exergy productivity was 12.76% and the total cost was 61.69 $/GJ at optimum conditions. This paper proposes an integrated energy conversion system relying on the parabolic trough solar collector field, a Rankine cycle, and a proton exchange membrane to generate green hydrogen and methane alongside power and freshwater. This study examines the power of effective variables on energy and economic factors before and after the integration of renewable energy sources. Simulating a system and obtaining the desired outcome is achieved by using an engineering equation solver. A genetic evolutionary algorithm code is used to find the optimal operating circumstance for the plant by applying a multi-criteria genetic evolutionary algorithm to the system. According to the results obtained from an energy standpoint, the exergy productivity is 12.76% and the total cost is 61.69 $/GJ at optimum operating conditions. Further optimization of the multi-objective optimization model shows that the optimum operating case, which is suitably-balanced among energy productivity and cost, has maximum energy productivity of 13.29% and a cost of 63.96 $/GJ, sequentially. Optimal working conditions are considered to correspond to exergy productivity of 10.01% and total cost of 60.21 $/GJ, sequentially. Further, hydrogen would be produced at a rate of 2.28 kg/h under well-balanced operating circumstances. A strong approach for optimizing the system operation and diminish total cost can be achieved by installing the condenser unit instead of the condenser.
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DOI：
10.1007/978-3-319-40551-3_5
发表时间：
2016
期刊：
--
影响因子：
--
作者：
A. Demirbaş
通讯作者：
A. Demirbaş
影响因子：
8.7
作者：
Seyed Mohammad Sattari Sadat;H. Ghaebi;A. Lavasani
通讯作者：
Seyed Mohammad Sattari Sadat;H. Ghaebi;A. Lavasani
影响因子：
2.8
作者：
Abozar Salehi;A. Karbassi;B. Ghobadian;A. Ghasemi;A. Doustgani
通讯作者：
Abozar Salehi;A. Karbassi;B. Ghobadian;A. Ghasemi;A. Doustgani
影响因子：
7.2
作者：
H. Rashidi;J. Khorshidi
通讯作者：
H. Rashidi;J. Khorshidi
影响因子：
10.4
作者：
H. Nami;F. Mohammadkhani;F. Ranjbar
通讯作者：
H. Nami;F. Mohammadkhani;F. Ranjbar