Self-recuperative high temperature co-electrolysis-based methanol production with vortex search-based exergy efficiency enhancement

被引:22
作者
Chaniago, Yus Donald [1 ]
Qyyum, Muhammad Abdul [1 ]
Andika, Riezqa [2 ]
Ali, Wahid [3 ]
Qadeer, Kinza [1 ]
Lee, Moonyong [1 ]
机构
[1] Yeungnam Univ, Sch Chem Engn, Coll Engn, Gyongsan, South Korea
[2] Univ Indonesia, Fac Engn, Dept Chem Engn, Depok 16424, Indonesia
[3] Jazan Univ, Dept Chem Engn & Technol, Jazan 45971, Saudi Arabia
基金
新加坡国家研究基金会;
关键词
Solid oxide electrolyzer cell; Co-electrolysis; Self-heat recuperation; Vortex search; Exergy analysis; Methanol; CARBON-DIOXIDE; DESIGN OPTIMIZATION; NATURAL-GAS; ENERGY; LIQUEFACTION; ELECTRICITY; CONVERSION; HYDROGEN; MODEL; TECHNOLOGIES;
D O I
10.1016/j.jclepro.2019.118029
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The reduction of greenhouse gas emission via the transformation of carbon dioxide into methanol results in several secondary benefits including the production of a valuable by-product that can be used for energy storage and as a fuel source. As such, this is a promising approach for mitigating climate change. Methanol production via the co-electrolysis process using solid oxide electrolyzer cells is an efficacious solution to the issue of excess electricity storage in the context of renewable energy and carbon dioxide utilization. However, this process is an energy-intensive and temperature-sensitive method, mainly due to the requirement of high-temperature electrolysis. In this context, this study investigates and evaluates the potential for overall performance improvement by minimizing energy consumption and increasing methanol production using self-heat recuperation technology. The newly developed vortex search strategy was employed to achieve the maximum potential benefit from retrofitted recuperators. Detailed exergy analysis was performed for the process and the evaluation of its performance. The findings revealed that the electrochemical system for co-electrolysis has the highest exergy destruction rate. By employing the vortex search approach, the exergy loss of the energy process system can be reduced by 61.7% with a total reduction of the exergy loss of 15.9%, while improving methanol production and decreasing distillation reboiler duty. The simple solution of self-recuperation with optimization that was utilized in this study is a flexible approach that can be directly applied to the improvement of co-electrolysis and methanol synthesis. (C) 2019 Elsevier Ltd. All rights reserved.
引用
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页数:15
相关论文
共 60 条
[1]   Comparative energetic assessment of methanol production from CO2: Chemical versus electrochemical process [J].
Al-Kalbani, Haitham ;
Xuan, Jin ;
Garcia, Susana ;
Wang, Huizhi .
APPLIED ENERGY, 2016, 165 :1-13
[2]   Co-electrolysis for power-to-methanol applications [J].
Andika, Riezqa ;
Nandiyanto, Asep Bayu Dani ;
Putra, Zulfan Adi ;
Bilad, Muhammad Roil ;
Kim, Young ;
Yun, Choa Mun ;
Lee, Moonyong .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 95 :227-241
[3]   Optimization methods applied to renewable and sustainable energy: A review [J].
Banos, R. ;
Manzano-Agugliaro, F. ;
Montoya, F. G. ;
Gil, C. ;
Alcayde, A. ;
Gomez, J. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (04) :1753-1766
[4]  
Barelli L, 2017, CHEMENGINEERING, V1, DOI 10.3390/chemengineering1020013
[5]   The impact of electricity consumption on CO2 emission, carbon footprint, water footprint and ecological footprint: The role of hydropower in an emerging economy [J].
Bello, Mufutau Opeyemi ;
Solarin, Sakiru Adebola ;
Yen, Yuen Yee .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2018, 219 :218-230
[6]   Exergy for environment, ecology and sustainable development [J].
Bilgen, Selcuk ;
Sarikaya, Ikbal .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 51 :1115-1131
[7]   Efficient methanol synthesis: Perspectives, technologies and optimization strategies [J].
Bozzano, Giulia ;
Manenti, Flavio .
PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2016, 56 :71-105
[8]   Optimum design and thermodynamic analysis of a gas turbine and ORC combined cycle with recuperators [J].
Cao, Yue ;
Gao, Yike ;
Zheng, Ya ;
Dai, Yiping .
ENERGY CONVERSION AND MANAGEMENT, 2016, 116 :32-41
[9]   Distillation design and optimization of quaternary azeotropic mixtures for waste solvent recovery [J].
Chaniago, Yus Donald ;
Lee, Moonyong .
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, 2018, 67 :255-265
[10]   Optimization of Methanol Yield from a Lurgi Reactor [J].
Chen, Lei ;
Jiang, Qingzhe ;
Song, Zhaozheng ;
Posarac, Dusko .
CHEMICAL ENGINEERING & TECHNOLOGY, 2011, 34 (05) :817-822