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Application of Fuzzy Logic for Evaluation of the Thermal Behaviour, for Control and Energy Management of Chilling and Heating Systems

机译:模糊逻辑在冷却和加热系统的控制和能量管理中的应用应用模糊逻辑

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Generation and consumption of chilling and heating energy should consider economical and ecological aspects. Optimal demand oriented chilling and heat power requires sustainable evaluation of measurement information of the whole system. Fuzzy Logic provides, by evaluation of the thermal behaviour of the chilling and heating system, powerful rule basses for decision making in order to guarantee optimal operation of the systems. Proving the applicability of fuzzy Logic for energy management tasks, two new operation and optimisation strategies for a complex chilling and heating system have been realised and implemented into the existing industrial Building Energy Management Systems.
机译:冷却和加热能量的生成和消费应考虑经济和生态的方面。定向需求的冷却和热功率需要可持续评估整个系统的测量信息。模糊逻辑通过评估冷却和加热系统的热行为,强大的规则贝加斯用于决策,以保证系统的最佳运行。证明了对能源管理任务的模糊逻辑的适用性,已经实现了两种复杂的冷却和加热系统的新运行和优化策略,并实施到现有的工业建筑能源管理系统中。

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