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Multi-Technology Driven R&D Cost Improvement Scheme and Application Utility of EESP in Energy-Intensive Manufacturing Industry

Author

Listed:
  • Fangyuan Qian

    (Internet Research Center, China Tobacco Guangxi Industrial Co., Ltd., Nanning 530001, China)

  • Shuiye Niu

    (School of Innovation and Entrepreneurship, Shandong University, Qingdao 266237, China)

  • Yujuan Xi

    (School of Innovation and Entrepreneurship, Shandong University, Qingdao 266237, China)

Abstract

Facing the sustainable use of electric power resources, many countries in the world focus on the R&D investment and application of electrochemical energy storage projects (i.e., EESP). However, the high R&D cost of EESP has been hindering large-scale industrial promotion in the energy-intensive manufacturing industry represented by the tobacco industry. Reducing and controlling the R&D cost has become an urgent problem to be solved. In this context, this paper innovatively proposes a multi-technology driven R&D cost improvement scheme, which integrates WBS (i.e., Work Breakdown Structure), EVM (i.e., Earned Value Method), BD (i.e., Big Data), and ML (i.e., Machine Learning) methods. Especially, the influence of R&D cost improvement on EESP application performance is discussed through mathematical model analysis. The research indicates that reducing EESP R&D costs can significantly improve the stability of EESP power supply, and ultimately improve the application value of EESP in energy-intensive manufacturing industries. The R&D cost management scheme and technical method proposed in this paper have important theoretical guiding values and practical significance for accelerating the large-scale application of EESP.

Suggested Citation

  • Fangyuan Qian & Shuiye Niu & Yujuan Xi, 2022. "Multi-Technology Driven R&D Cost Improvement Scheme and Application Utility of EESP in Energy-Intensive Manufacturing Industry," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6282-:d:820890
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