⚠ Official Notice: www.ijisrt.com is the official website of the International Journal of Innovative Science and Research Technology (IJISRT) Journal for research paper submission and publication. Please beware of fake or duplicate websites using the IJISRT name.



Experimental Investigation of Chilled Water Flowrate Due to Temperature Change in Cooling Coil


Authors : Sekiteri Patience Sametu; Umar Adam Isah

Volume/Issue : Volume 11 - 2026, Issue 9 - September


DOI : https://doi.org/10.38124/ijisrt/26sep1395

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The experiment conducted shows that repeated cooling capacity of 18.00W has steady buoyancy. At this set point air densities, convective heat transfer coefficients and volumetric mass flowrate tends to compensate objective constraints of heat loss within air handling units. When forced heat transfer convection occurs, differential pressure and water flow rate varies haptic relief valve was set at 40.20W cooling capacity. This research estimated the pressure drop due to piping using counter flow to attain 0.90 effectiveness. When the inlet and outlet temperature decreases at 0.30W at 3 percent of effectiveness.

Keywords : Experimental, Investigation, Chilled Water, Flowrate, Temperature, Cooling Coil.

References :

  1. Anka, S.K., Lamptey N.B.,Choi., J.K., (2023).Comparative analysis and optimization of the annual performance for a novel internet data center cooling system https://doi.org/10.1016/j.jobe.2023.106064
  2. Bataineh, K., Taamneh, Y., (2016). Review and recent improvements of solar sorption cooling systems. Energy Build.  128, pp, 22–37. https://doi.org/10.1016/j.enbuild.2016.06.075
  3. Cui, C., & Liu, Y. (2024). A hierarchical HVAC optimal control method for reducing energy consumption and improving indoor air quality incorporating soft Actor-Critic and hybrid search optimization. Energy Conversion and Management, 302, 118118. https://doi.org/10.1016/j.enconman.2024.118118
  4. Deng, Z., Hao, X., Yin, W., Zhang, S., & Chen, Y. (2025). Quantification of energy flexibility potential in commercial buildings for demand response across various climate zones in China. Journal of Building Engineering, 105, 112595. https://doi.org/10.1016/j.jobe.2025.112595
  5. Jensen, S. Ø., Marszal-Pomianowska, A., Lollini, R., Pasut, W., Knotzer, A., Engelmann, P., ... & Reynders, G., (2017). IEA EBC annex 67 energy flexible buildings. Energy and buildings, 155, 25-34. https://doi.org/10.1016/j.enbuild.2017.08.044
  6. Killian, M., & Kozek, M. (2016). Ten questions concerning model predictive control for energy efficient buildings. Building and Environment, 105, 403-412. https://doi.org/10.1016/j.buildenv.2016.05.034
  7. Li, H., Wang, Z., Hong, T., & Piette, M. A. (2021). Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications. Advances in Applied Energy, 3, 100054. https://doi.org/10.1016/j.adapen.2021.100054
  8. Langner, F., Wang, W., Frahm, M., & Hagenmeyer, V. (2024). Model predictive control of distributed energy resources in residential buildings considering forecast uncertainties. Energy and buildings, 303, 113753. https://doi.org/10.1016/j.enbuild.2023.113753
  9. Nagy, Z., Henze, G., Dey, S., Arroyo, J., Helsen, L., Zhang, X., ... & Bernstein, A. (2023). Ten questions concerning reinforcement learning for building energy management. Building and Environment, 241, 110435. https://doi.org/10.1016/j.buildenv.2023.110435
  10. Shirazi, A.; Taylor, R.A.; Morrison, G.L.; White, S.D., (2017). A comprehensive, multi objective optimization of solar-powered absorption chiller systems for airconditioning applications. Energy Convers. Manag., 132, 281–306. https://doi.org/10.1016/j.enconman.2016.11.039
  11. Wang, Z., & Hong, T. (2020). Reinforcement learning for building controls: The opportunities and challenges. Applied Energy, 269, 115036. https://doi.org/10.1016/j.apenergy.2020.115036
  12. Zheng, X.; Shi, R.; Wang, Y.; You, S.; Zhang, H.; Xia, J.; Wei, S., (2020). Mathematical modeling and performance analysis of an integrated solar heating and cooling system driven by parabolic trough collector and double-effect absorption chiller. Energy Build., 202, 109400. https://doi.org/10.1016/j.enbuild.2019.109400
  13. Zhan, S., & Chong, A. (2021). Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective. Renewable and Sustainable Energy Reviews, 142, 110835. https://doi.org/10.1016/j.rser.2021.110835

The experiment conducted shows that repeated cooling capacity of 18.00W has steady buoyancy. At this set point air densities, convective heat transfer coefficients and volumetric mass flowrate tends to compensate objective constraints of heat loss within air handling units. When forced heat transfer convection occurs, differential pressure and water flow rate varies haptic relief valve was set at 40.20W cooling capacity. This research estimated the pressure drop due to piping using counter flow to attain 0.90 effectiveness. When the inlet and outlet temperature decreases at 0.30W at 3 percent of effectiveness.

Keywords : Experimental, Investigation, Chilled Water, Flowrate, Temperature, Cooling Coil.

Paper Submission Last Date
31 - October - 2026

SUBMIT YOUR PAPER CALL FOR PAPERS
Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe