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Electricity consumption optimization of power users driven by a dynamic electric carbon factor.
- Source :
- Frontiers in Energy Research; 2024, p1-14, 14p
- Publication Year :
- 2024
-
Abstract
- In light of the escalating concerns surrounding climate change and air quality degradation, the imperative for energy conservation and emission reduction has garnered widespread attention. Given that factories represent a significant portion of electricity consumption within the power network, a comprehensive analysis of the electricity consumption behavior of energy- intensive enterprises becomes paramount. To meticulously dissect the electricity consumption patterns of energy-intensive enterprises, this paper categorizes them into four distinct production modes: 24-hour all-day production factories, pure daytime production factories, pure nighttime production factories, and environmentally friendly peaking production factories. Employing the dynamic electricity-carbon factor as a guiding force, the analysis encompasses electricity consumption, tariff expenditure, peaking costs, carbon emissions, and comfort levels associated with each production method throughout the year. A delicate equilibrium is sought among multiple objectives, aiming to optimize the user experience while simultaneously mitigating costs and carbon emissions. Furthermore, this paper conducts a comparative analysis of each objective, employing single-objective genetic algorithms and the interior point method. The resultant findings serve as invaluable insights for business users, aiding in informed decision- making processes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 2296598X
- Database :
- Complementary Index
- Journal :
- Frontiers in Energy Research
- Publication Type :
- Academic Journal
- Accession number :
- 176662863
- Full Text :
- https://doi.org/10.3389/fenrg.2024.1373206