Application of Response Surface Methodology to Predict the Optimized Input Quantities of Parabolic Trough Concentrator

*Vijayan Gopalsamy orcid scopus  -  KSK College of Engineering and Technology, India
Ramalingam Senthil orcid scopus  -  Department of Mechanical Engineering, SRM Institute of Science and Technology,Kattankulathur,Chennai, India
Muthukrishnan Varatharajulu orcid scopus  -  Department of Mechanical Engineering, National Institute of Technology-Trichy, Tamilnadu, India
Rajasekaran Karunakaran  -  Department of Mechanical Engineering, Anna University, Chennai, Tamilnadu, India
Received: 14 May 2020; Revised: 29 Jun 2020; Accepted: 5 Jul 2020; Published: 15 Oct 2020; Available online: 8 Jul 2020.
Open Access Copyright (c) 2020 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
This work carries out a numerical investigation on aluminum oxide/de-ionized water nanofluid based shield-free parabolic trough solar collector (PTSC) system to evaluate, validate, and optimize the experimental output data. A numerical model is developed using response surface methodology (RSM) for evaluation (identifying influencing parameters and its level) and single objective approach (SOA) technique of desirability function analysis (DFA) for optimization. The experimental data ensured that global efficiency was enhanced from 61.8% to 67.0% for an increased mass flow rate from 0.02 kg/s to 0.06 kg/s, respectively. The overall deviation between experimental and numerical is only 0.352%. The energy and exergy error is varied from 3.0% to 6.0%, and the uncertainty of the experiment is 3.1%. Based on the desirability function analysis, the maximum and minimum efficiencies are 49.7% and 84.9%, as per the SOA technique. This numerical model explores the way to enhance global efficiency by 26.72%.
Keywords: parabolic trough solar collector; nanofluid; optimization; response surface methodology; shield-free receiver
Funding: NA

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Section: Original Research Article
Language: EN
In Vol 9, No 3 (2020): October 2020
Statistics: 1272 574
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