Paper
12 December 2024 Optimization of autonomous operation of energy-consuming parks considering economy-energy-efficiency-carbon emission coupling
Qingzhi Zhang, Litian Zhou, Meng Wang, Ge Liu, Jianjun Pei, Lingxi Bu
Author Affiliations +
Proceedings Volume 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024); 134190R (2024) https://doi.org/10.1117/12.3050380
Event: Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 2024, Lhasa, China
Abstract
With the intensification of the global energy crisis and environmental pressure, the optimization of energy systems in high-energy-consumption parks has become particularly critical. This paper proposes an integrated energy system (IES) operation optimization strategy for high-energy-consumption parks that comprehensively considers economy, energy efficiency and carbon emission. By constructing a multi-objective optimization model, it achieves efficient energy utilization and cost reduction while reducing environmental pollution. The study establishes the IES model, analyzes the energy equipment coupling relationship, and optimizes the energy conversion strategy. Example analyses verify the effectiveness of the strategies in improving operational efficiency and promoting green development.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qingzhi Zhang, Litian Zhou, Meng Wang, Ge Liu, Jianjun Pei, and Lingxi Bu "Optimization of autonomous operation of energy-consuming parks considering economy-energy-efficiency-carbon emission coupling", Proc. SPIE 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 134190R (12 December 2024); https://doi.org/10.1117/12.3050380
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KEYWORDS
Solar energy

Carbon

Wind energy

Energy efficiency

Mining

Mathematical optimization

Turbines

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