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Optimization for Commercial Building Energy Management of Multi-Energy Fusion

机译:多能融合的商业建筑能源管理优化

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This paper proposed the optimization for commercial building energy management of multi-energy fusion, which has the characteristics of multi energy fusion, and considers the coordination strategy of CCHP and energy storage devices under the commercial TOU mechanism. Building comfort and energy costs are considered as the optimization objective functions. Finally, a simulation of a commercial building show that the model can effectively meet the needs of building comfort, also can reduce the energy costs in commercial buildings. The grey optimization algorithm obviously has more advantages than the GA and PSO in solving this optimization problem.
机译:本文提出了对多能融合的商业建筑能源管理的优化,具有多能量融合的特点,并考虑了CCHP和储能设备的协调策略。建筑舒适和能源成本被认为是优化目标功能。最后,商业建筑的模拟表明,该模型可以有效满足建筑舒适的需求,也可以降低商业建筑的能源成本。灰色优化算法显然具有比解决该优化问题的GA和PSO更多的优点。

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