Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

May 3, 2024


Pages


DOI

Article

Smart Energy Management Construction of Electric Power with Application of Bioelectricity Technology

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Authors

Yangbo Chen Affiliation:
State Grid Shanxi Electric Power Compan, Taiyuan, Shanxi, 030001, China.
, Weirong Wang Affiliation:
State Grid Shanxi Marketing Service Center, Taiyuan, Shanxi, 030000, China.
, Hao Guo Affiliation:
NARI-TECH NANJING CONTROL SYSTEMS LTD, Nanjing, Jiangsu, 210000, China.
, Zhongpeng Wang Affiliation:
Jinneng Power Group Power Sales Co., Ltd, Taiyuan, Shanxi, 030024, China.
and Jiawei Li Affiliation:
State Grid Changzhi City Luzhou District Power Supply Company, Changzhi, Shanxi, 047500, China.


Abstract

The search for sustainable energy solutions has become urgent against the current energy crisis and increasing environmental pollution. Biomass energy conversion and utilization technology, a clean and renewable energy source, constantly evolves, particularly in biomass power generation technology. This technology can effectively reduce greenhouse gas emissions and dependence on fossil fuels. Biomass conversion and utilization techniques include combustion, gasification, and biochemical methods that generate different energy forms, including heat, electricity, and fuel. Developing these technologies provides strong technical support for optimizing energy structures and protecting the environment. The article explores the application of biopower technology in intelligent energy management of electricity and improves its efficiency. The efficiency of biopower technology and its influencing factors were investigated using the Data Envelopment Analysis (DEA) model and Tobit regression analysis. A study was conducted on ten biopower energy companies. The energy management efficiency score of 1 was present in six of these companies, suggesting a relatively high operational efficiency level. Company C has a super-efficiency value of 2.654, indicating its outstanding energy management efficiency. Factors such as human resource input, total investment, and annual production costs significantly affect energy management efficiency. By optimizing resource allocation and improving management efficiency, biopower technology can be applied more effectively to intelligent energy management, thus promoting sustainable development.


Keywords

Biopower technology, Intelligent energy management, Data envelopment analysis (DEA), Management efficiency, 68T42


Citation

Chen, Y., Wang, W., Guo, H., Wang, Z., & Li, J. (2024). Smart energy management construction of electric power with application of bioelectricity technology. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0857
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