Design and Implementation of a Fuzzy Logic Controlled Water Heater for Laboratory-Scale Indoor Swimming Pools

Abstract In recent times, the indoor swimming pool has emerged as a source of physical well-being and recreational enjoyment. Various endeavours have been undertaken to enhance the comfort of indoor swimming pools, including measures to decrease the evaporation of heated water. As a consequence, the humidity level in the indoor swimming pool rises. An indoor swimming pool must meet specific criteria to provide optimal comfort, including maintaining appropriate water temperature, air space, and relative humidity levels. Thus, this study created a laboratory-scale indoor swimming pool measuring 1 meter x 0.5 meters x 0.3 meters. The pool had a water heater controlled by a fuzzy logic technique control system. The water heater was installed within a water tank of 0.25 meters in length, 0.18 meters in width, and 0.3 meters in height. This water tank functions as a reservoir of heated water to be transported to an indoor swimming pool on a laboratory scale. The experimental findings demonstrate that implementing the fuzzy technique effectively regulates the water temperature at a constant level of 35 degrees Celsius. Additionally, the average duration required for heating the water to reach this temperature is 11.08 minutes, while the time taken to empty the water tank is 4.11 minutes. The duration needed to heat a laboratory-scale indoor swimming pool is precisely 5.14 minutes. Moreover, the findings of this study indicate that the application of these results is particularly relevant to indoor swimming pools, specifically those located in the Tokong Nanas Building at Telkom University.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2942/1/012043
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
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article

Design and Implementation of a Fuzzy Logic Controlled Water Heater for Laboratory-Scale Indoor Swimming Pools

Amaliyah Rohsari Indah Utami, Suwandi Suwandi, Endra Pratama, Ahmad Qurthobi et al.
Journal of Physics Conference Series
Heat Transfer and Optimization
article

Design and Implementation of a Fuzzy Logic Controlled Water Heater for Laboratory-Scale Indoor Swimming Pools

Amaliyah Rohsari Indah Utami, Suwandi Suwandi, Endra Pratama, Ahmad Qurthobi, Reza Fauzi Iskandar
article en

Abstract

Abstract In recent times, the indoor swimming pool has emerged as a source of physical well-being and recreational enjoyment. Various endeavours have been undertaken to enhance the comfort of indoor swimming pools, including measures to decrease the evaporation of heated water. As a consequence, the humidity level in the indoor swimming pool rises. An indoor swimming pool must meet specific criteria to provide optimal comfort, including maintaining appropriate water temperature, air space, and relative humidity levels. Thus, this study created a laboratory-scale indoor swimming pool measuring 1 meter x 0.5 meters x 0.3 meters. The pool had a water heater controlled by a fuzzy logic technique control system. The water heater was installed within a water tank of 0.25 meters in length, 0.18 meters in width, and 0.3 meters in height. This water tank functions as a reservoir of heated water to be transported to an indoor swimming pool on a laboratory scale. The experimental findings demonstrate that implementing the fuzzy technique effectively regulates the water temperature at a constant level of 35 degrees Celsius. Additionally, the average duration required for heating the water to reach this temperature is 11.08 minutes, while the time taken to empty the water tank is 4.11 minutes. The duration needed to heat a laboratory-scale indoor swimming pool is precisely 5.14 minutes. Moreover, the findings of this study indicate that the application of these results is particularly relevant to indoor swimming pools, specifically those located in the Tokong Nanas Building at Telkom University.

Journal of Physics Conference SeriesVol. 2942(1)
Kaunas University of Technology (LT), Telkom University (ID)
Openalex Percentile: Top 97%
Heat Transfer and Optimization
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