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DHC load management using demand forecast

机译:DHC负载管理使用需求预测

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摘要

The optimal management of a district heating addresses problems such as the optimization of the pumping in supply energy and minimization of heat losses. Demand forecasts are based on historical data and heat losses are generally calculated developing a model based on the topology of the district network. The variability of the users' load brings situations where predicted information becomes very useful while managing different possibilities in supplying that energy. Once the different possibilities for energy generation and the forecasted energy demand are known it is required to develop a model to calculate the future associated heat losses in the district network according with the expected demand. A network operator that dispose information about the future behavior in the DHC would be able to manage and optimize the energy generation of the power plant as much as minimize the cost of the pumping station and the heat losses without reduction in service quality.
机译:地区加热的最佳管理解决了诸如优化供应能量的优化和最小化热损失的问题。需求预测基于历史数据,并且通常计算基于地区网络拓扑的模型来计算型号。用户负载的可变性使预测信息变得非常有用的情况,同时管理提供该能量的不同可能性。一旦众所周知,能够产生的不同可能性和预测的能量需求,需要开发一种模型来根据预期的需求计算区域网络中未来的相关热损失。一种网络运营商,其处理DHC中未来行为的信息将能够管理和优化电厂的能量产生,尽可能使泵站和热损失的成本最小化,而不会降低服务质量。

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