Dynamic simulation model and empirical validation for estimating thermal energy demand in indoor swimming pools
Autor: | José Pablo Delgado Marín, Jose Ramon Garcia-Cascales |
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Rok vydání: | 2020 |
Předmět: |
Relation (database)
business.industry Computer science 020209 energy Work (physics) 02 engineering and technology 010501 environmental sciences TRNSYS 01 natural sciences Dynamic simulation General Energy 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) business Energy (signal processing) Thermal energy 0105 earth and related environmental sciences Marine engineering Efficient energy use |
Zdroj: | Energy Efficiency. 13:955-970 |
ISSN: | 1570-6478 1570-646X |
Popis: | 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. |
Databáze: | OpenAIRE |
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