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Dynamic simulation model and empirical validation for estimating thermal energy demand in indoor swimming pools

机译:动态仿真模型及估算室内游泳池热能需求的实证验证

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摘要

Indoor swimming pools are high energy demand facilities. Current knowledge about their energy demand does not offer reliable information for a correct design of their thermal installations. A deeper knowledge about actual energy needs of these installations is then necessary to improve their energy efficiency. The objective of this work is to define and validate a new and specific model for the characterisation of an indoor swimming pool and its dynamic energy behaviour with sufficient accuracy. To do that, a module including the calculation of the evaporation and other heat losses is proposed and integrated as a new component defined in TRNSYS for a dynamic simulation of the problem. In order to validate the model, a two-phase procedure has been implemented. Firstly, a full-monitoring system has been put in place at a public indoor swimming pool in the municipality of Archena, Spain, where records have been contrasted with the model results. Secondly, energy data from four other swimming pools have been also used to confirm the good behaviour of the model. The work carried out validates the model and demonstrates the usefulness of dynamic modelling tools to solve complex thermal situations like the case of energy demand in indoor swimming pools. The proposed model results in an accurate method to estimate heating demand, giving a mean error of - 1.77%. The new dynamic simulation model has also served to do a sensitivity analysis of the energy demand in relation with the main control parameters of the facility, recommending set points for a more efficient work of these facilities.
机译:室内游泳池是高能源需求设施。目前关于其能源需求的知识不提供正确设计其热安装的可靠信息。关于这些装置的实际能量需求的更深入了解,以提高其能效。这项工作的目的是定义和验证新的和特定模型,以表征室内游泳池及其动态能源行为,具有足够的准确性。为此,提出包括计算蒸发和其他热损耗的模块,并将其作为在TRNSYS中定义的新组件,以动态模拟问题。为了验证模型,已经实现了一种两相过程。首先,全监测系统已经在西班牙拱门市政岛市公共室内游泳池到位,记录与模型结果形成鲜明对比。其次,来自其他四个游泳池的能量数据也用于确认模型的良好行为。开展的工作验证了该模型,并展示了动态建模工具解决复杂的热局势,如室内游泳池中的能源需求的情况。所提出的模型导致准确的方法来估计加热需求,给出平均误差 - 1.77%。新的动态仿真模型还致力于对设施的主要控制参数的能量需求进行灵敏度分析,推荐用于这些设施的更有效的工作。

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