Abstract
The current energy system in chemical parks faces problems such as unstable energy supply, low energy use efficiency, and environmental pollution. The study optimises the integrated energy system of a chemical park by constructing a model to improve the efficiency of energy use, reduce energy costs, and promote the application of environmentally friendly energy sources. The results of the study show that the proposed strategy improves the operational efficiency of the system. Under different light intensity and temperature conditions, the system stability reaches 98% and 97%, respectively. Practical application analysis further proves the effectiveness of the model, for example, the day-ahead maximum error power of the electric load is reduced to 160 kW, the average error rate is reduced to 5.5%, and in real-time forecasting, the average error rate of all load types is generally lower than that of day-ahead forecasting. The optimised system not only significantly reduces the energy cost and improves the efficiency of energy use, but also ensures a high degree of reliability and environmental adaptability of the system, providing an efficient, economical, and environmentally friendly energy solution, which has important research significance and application value.
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