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Strategic Study of CAE >> 2020, Volume 22, Issue 2 doi: 10.15302/J-SSCAE-2020.02.007

Future Modes of Fuel Bioethanol Industry

1. College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;

2. SDIC Biotech Investment Co., Ltd., Beijing 100034, China

Funding project:CAE Advisory Project “Research on the Development Strategy of Emerging Industries” (2018-ZD-12); CAE Advisory Project “Research on Development Strategy of Green Biomanufacturing Industry Based on Sugar Platform”(2018-XZ-13) Received: 2019-12-17 Revised: 2020-02-15 Available online: 2020-03-27

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Abstract

The fuel bioethanol industry is one of the strategic emerging industries that China focuses on cultivating and developing. Against the background of the country’s deep integration of industrialization and informatization, intelligent and safety production, which can be realized relying on China’s advantages in the Industrial Internet and 5G technology and supported by new technologies such as big data, digital twins, and blockchain, can promote the high-quality development of the fuel bioethanol industry in China. This paper summarizes and analyzes the status and problems of the fuel bioethanol industry, and proposes the general idea for future modes in intelligent production, safety production, and industrial management of the fuel bioethanol industry. The development of the fuel bioethanol industry should be guided at the national strategic level and requires cooperation among the state, local governments, and enterprises, thus to promote the characteristic, joint, and intelligent development of bioethanol industrial bases. The cooperation between industry, universities, and research institutions should be strengthened to innovate production modes and technologies and to promote international competitiveness. Furthermore, key technologies should be developed to realize the production of fuel bioethanol using cellulose-based biomass as the raw material, thereby providing strategic reserves for ensuring national food security.

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References

[ 1 ] The National People’s Congress of the PRC. Law of the People’s Republic of China on renewable energy [M]. Beijing: Law Press China, 2005. Chinese.

[ 2 ] China Academy of Engineering Science and technology Development Strategy. China’s strategic emerging industry development report 2019 [M]. Beijing: China Science Publishing & Media Ltd., 2019. Chinese.

[ 3 ] Innovation and High Technology Development Division of National Development and Reform Commission, Chinese Society of Bioengineering. Annual report on bioindustry in China: 2018 [M]. Beijing: Chemical Industry Press, 2018. Chinese.

[ 4 ] Mao K Y, Fan Y L, Wang Y, et al. Status quo of fuel ethanol industry at home and abroad + in-depth analysis [J]. High Technology and Industrialization, 2018, 265(6): 8–15. Chinese. link1

[ 5 ] Jin S Y. Development trend of fuel ethanol industry in the world [J]. Petroleum Science and Technology Forum, 2011 (2): 52– 54. Chinese. link1

[ 6 ] Qin Y, Shen N K, Wang Q Y, et al. Construction of genetically engineered Saccharomyces cerevisiae strains with improved ethanol tolerance [J]. Renewable Energy Resources, 2016 (34): 1096–1100. Chinese. link1

[ 7 ] Ding W T. Study on the improvement of ethanol production by high gravity fermentation of Saccharomyces cerevisiae [D]. Tianjin: Tianjin University (Doctoral dissertation), 2013. Chinese. link1

[ 8 ] Sun Y D, Jiang J X, Sun R, et al. Research progress of fiber ethanol and pervaporation in situ separation technology [J]. China Energy, 2008 (9): 23–27. Chinese. link1

[ 9 ] China Institute of Electronic Technology Standardization, Shenzhen Huazhi Intelligent Manufacturing Technology Co., Ltd., Northeast University. White paper on process intelligent manufacturing [R]. Beijing: China Institute of Electronic Technology Standardization, 2019. Chinese.

[10] Deloitte Enterprise Risk Management Service Department. Long term driving force in the era of industry 4.0: Integration of two industries [M]. Shanghai: Shanghai Jiaotong University Press, 2015. Chinese.

[11] Zhou J, Li P G, Zhou Y H, et al. Toward new-generation intelligent manufacturing [J]. Engineering, 2018, 4(1): 11–20. link1

[12] Wang J M. Challenges facing China’s petrochemical industry and their countermeasure suggestions [J]. Petroleum & Petrochemical Today, 2015, 23(11): 1–7. Chinese. link1

[13] Zhang S L, Chu J, Zhuang Y P. A multi-scale study on industrial fermentation processes and their optimization [J]. Advances in Biochemical Engineering and Biotechnology, 2004, 87: 97–150. link1

[14] Zhuang Y P, Tian X W, Zhang S L. Optimization and amplification of cell culture process based on multi-scale parameter correlation analysis [J]. Biotechnology & Business, 2018 (1): 49–55. Chinese. link1

[15] Zhang S L, Chu J. Multi scale microbial process optimization [M]. Beijing: Chemical Industry Press, 2003. Chinese.

[16] Yu P Y. Research and application of equipment health and fault analysis method based on industrial big data [D]. Shenyang: Shenyang Institute of computing technology, Chinese Academy of Sciences (Master’s thesis), 2017. Chinese. link1

[17] Xu Y J. Industrial big data mining analysis and application prospect research [J]. Electronic Technology and Software Engineering, 2016 (22): 159–159. Chinese. link1

[18] Chen Z X. Industrial Internet is the core of intelligent manufacturing [J]. China Informatization, 2016 (1): 7–8. Chinese. link1

[19] Wang C. Embrace the right posture of industrial internet: Business driven, “build a reliable hammer” [N/OL]. China Science Daily, 2018-10-11 (5). http://news.sciencenet.cn/ sbhtmlnews/2018/10/339768.shtm?id=339768. Chinese. link1

[20] Jin S X. Blockchain, how to define future life? [J]. Hangzhou Weekly, 2018, 502 (18): 8–11. Chinese. link1

[21] Qi Y H. Research on traffic scheduling mechanism in industrial network based on SDN intelligence [D]. Zhejiang, Zhejiang Gongshang University (Master’s thesis), 2019. Chinese. link1

[22] Shang D. Application prospect of block chain technology in energy industry [J]. Electric Power Information and Communication Technology, 2019, 17 (2): 5–12. Chinese. link1

[23] Metelitsa C. Blockchain for energy 2018: Companies and applications for distributed ledger technologies on the grid [R]. San Francisco: Greentech Media Inc., 2018.

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