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Proposed framework improves energy utilization and reduces carbon emissions at oilfield well-sites using optimization methods.
Aiming to address the challenges of low energy utilization efficiency and high carbon emissions in high-energy consumption scenarios at oilfield well-sites, this study proposes a two-layer optimization framework-based configuration method for source-storage capacity in micro energy grids. Initially, we establish an alternating current micro energy grid topology incorporating photovoltaic systems, electrical energy storage devices, and pumping unit loads. Subsequently, an optimization model for source-storage capacity configuration is developed, considering both economic costs and environmental impacts. The non-dominated sorting genetic algorithm II is employed to solve this multi-objective optimization problem. Through simulation experiments conducted on a typical oilfield well-site, the results demonstrate that the proposed methodology can provide decision-makers with multiple capacity optimization schemes. This research outcome offers theoretical foundations and technical support for energy system planning in oilfield operational scenarios.
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Zhujun Liu (2025) studied this question.
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