Demand Responsive Distributed Energy System Optimization Strategy: An Innovative Approach to Oilfield Energy Management

As global demand for sustainable energy grows, so do carbon emissions from the oil and gas sector. This paper develops a comprehensive multi-objective mathematical model that incorporates supply-demand dynamics and energy storage to optimize both economic and environmental impacts. The model is designed to minimize uncertainties in annual operational costs, carbon emissions, and energy demand, providing an advanced optimization framework for the sustainable development of oilfield energy systems. Applied to an oilfield in Northeast China, the model has reduced annual operational costs and carbon emissions by 16.67 % and 18.36 %, respectively. This innovative approach based on demand response offers a promising new direction for the sustainable management of oilfield energy systems, with significant potential for widespread application and practical guidance.