Renewable energy chemical engineering and technology

被引：0

作者：

Ma Z. ^{[1
]}

He Y. ^{[1
]}

Chen J. ^{[2
]}

机构：

[1] School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai

[2] School of Chemical Engineering, Beijing University of Chemical Technology, Beijing

来源：

Huagong Jinzhan/Chemical Industry and Engineering Progress | 2021年 / 40卷 / 09期

关键词：

Biochemical engineering; Electrochemical engineering; Energy storage; Photochemical engineering; Renewable energy;

D O I：

10.16085/j.issn.1000-6613.2021-1613

中图分类号：

学科分类号：

摘要：

Exploiting renewable energy sources is the only way to achieve carbon neutrality. This perspective first outlined the key strategies for the conversion and utilization of renewable energy, and stated that the theoretical foundation of new energy chemical engineering and technology covered various engineering science including the electrochemical engineering, photochemical engineering, biochemical engineering, molecular chemical engineering, systems engineering, and artificial intelligence, etc. Secondly, taking hydrogen generation from renewable power, fuel cells for chemical and energy cogeneration, solar energy conversion as examples, we elucidated the role of chemical engineering in the process of renewable energy conversion and utilization. Thirdly, we revealed the process engineering characteristics of electrochemical energy storage materials and devices according to the manufacturing process of multi-element transition metal oxide cathodes for lithium- and sodium-ion batteries. Fourthly, we introduced the applications of process system engineering and artificial intelligence in the construction of a battery state of charge/health/power prediction model, integrated energy system management, as well as optimal photovoltaic-energy storage-charge system. Finally, based on detailed case studies, we concluded that the essence of renewable energy chemical engineering is the scaling up of bio-, photo- and electro-chemical reactions involved in renewable energy conversion and storage from laboratory-scale to large-scale devices, and to elucidate the corresponding mass, heat and charge transfer mechanisms and the reaction engineering characteristics. Regarding the future research and development of renewable energy chemical engineering technology, multiple research directions were proposed in respect of the common scientific issues and key technologies. © 2021, Chemical Industry Press Co., Ltd. All right reserved.

引用

页码：4687 / 4695

页数：8

共 30 条

[21] MA Zifeng, GAO Han, HADER Ross, Et al., Revealing the structural evolution and phase transformation of O3-type NaNi1/3Fe1/3Mn1/3O2 cathode material on sintering and cycling processes, ACS Applied Energy Materials, 3, 7, pp. 6107-6114, (2020)
[22] XIE Yingying, ZHANG Weimin, GU Shuang, Et al., Process engineering in electrochemical energy devices innovation, Chinese Journal of Chemical Engineering, 24, 1, pp. 39-47, (2016)
[23] HE Yijun, SHEN Jiani, MA Zifeng, State of health estimation of lithium-ion batteries: a multiscale gaussian process regression modeling approach, AIChE Journal, 61, 5, pp. 1589-1600, (2015)
[24] SHEN Jiani, SHEN Jiajin, HE Yijun, Et al., Accurate state of charge estimation with model mismatch for Li-ion batteries: a joint moving horizon estimation approach, IEEE Transactions on Power Electronics, 34, 5, pp. 4329-4342, (2019)
[25] FENG Yifeng, SHEN Jiani, CHE Haiying, Et al., State of health prediction for sodium-ion batteries, Energy Storage Science and Technology, 10, 4, pp. 1407-1415, (2021)
[26] PARAG Y, SOVACOOL B K., Electricity market design for the prosumer era, Nature Energy, 1, 4, (2016)
[27] BOUAKKAZ A, MENA A J G, HADDAD S, Et al., Efficient energy scheduling considering cost reduction and energy saving in hybrid energy system with energy storage, Journal of Energy Storage, 33, (2021)
[28] CHE Haiying, ZHANG Ziyu, YU Xinhai, Et al., A novel integrated energy systems combining methanol reformed fuel cell with sodium ion battery, Green Chemical Engineering
[29] XIONG Luolin, MAO Shuai, TANG Yang, Et al., Reinforcement learning based integrated energy system management: a survey, Acta Automatica Sinica, (2021)
[30] DONG Xiaojian, SHEN Jiani, HE Guoxin, Et al., A general radial basis function neural network assisted hybrid modeling method for photovoltaic cell operating temperature prediction, Energy, 234, (2021)

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