Kumar, RajNadda, RahulKumar, SushilRazak, AbdulSharifpur, MohsenAybar, Hikmet S.Saleel, C. AhamedAfzal, Asif2023-09-062022-08Kumar, R., Nadda, R., Kumar, S. et al. 2022, 'Influence of artificial roughness parametric variation on thermal performance of solar thermal collector: An experimental study, response surface analysis and ANN modelling', Sustainable Energy Technologies and Assessments, vol. 52, art. 102047, pp. 1-21, doi : 10.1016/j.seta.2022.102047.2213-138810.1016/j.seta.2022.102047http://hdl.handle.net/2263/92220Please read abstract in the article.en© 2022 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Sustainable Energy Technologies and Assessments. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Sustainable Energy Technologies and Assessments, vol. 52, art. 102047, pp. 1-21, 2022, doi : 10.1016/j.seta.2022.102047.Thermal hydraulic performanceArtificial neural network (ANN)Perforated bafflesBaffle widthHeat transferSolar thermal collector (STC)Central composite design (CCD)Engineering, built environment and information technology articles SDG-04SDG-04: Quality educationEngineering, built environment and information technology articles SDG-07SDG-07: Affordable and clean energyEngineering, built environment and information technology articles SDG-09SDG-09: Industry, innovation and infrastructureEngineering, built environment and information technology articles SDG-12SDG-12: Responsible consumption and productionEngineering, built environment and information technology articles SDG-13SDG-13: Climate actionPostprint Article