Flat unglazed transpired solar collector : performance probability prediction approach using Monte Carlo simulation technique

dc.contributor.authorPanigrahi, Sajna Parimita
dc.contributor.authorMaharana, Sarat Kumar
dc.contributor.authorRajashekaraiah, Thejaraju
dc.contributor.authorGopalashetty, Ravichandran
dc.contributor.authorSharifpur, Mohsen
dc.contributor.authorAhmadi, Mohamad Hossain
dc.contributor.authorSaleel, C. Ahamed
dc.contributor.authorAbbas, Mohamed
dc.contributor.emailmohsen.sharifpur@up.ac.zaen_US
dc.date.accessioned2023-06-08T06:12:18Z
dc.date.available2023-06-08T06:12:18Z
dc.date.issued2022-11-23
dc.description.abstractEngineering applications including food processing, wastewater treatment, home heating, commercial heating, and institutional heating successfully use unglazed transpired solar collectors (UTCs). Trapping of solar energy is the prime goal of developing an unglazed transpired solar collector. The UTC is usually developed in and around the walls of the building and absorbs the solar energy to heat the air. One of the key challenges faced by the UTC designer is the prediction of performance and its warranty under uncertain operating conditions of flow variables. Some of the flow features are the velocity distribution, plate temperature, exit temperature and perforation location. The objective of the present study was to establish correlations among these flow features and demonstrate a method of predicting the performance of the UTC. Hence, a correlation matrix was generated from the dataset prepared after solving the airflow over a perforated flat UTC. Further, both strong and weak correlations of flow features were captured through Pearson’s correlation coefficient. A comparison between the outcomes from a linear regression model and that of computational simulation was showcased. The performance probability for the UTC was interlinked with correlation matrix data. The Monte Carlo simulation was used to predict the performance from random values of the flow parameters. The study showed that the difference between the free stream value of temperature and the value of temperature inside the UTC’s chamber varied between 15 and 20 C. The probability of achieving system efficiency greater than 35% was 55.2%. This has raised the hope of recommending the UTC for drying and heating where the required temperature differential is within 20 C.en_US
dc.description.departmentMechanical and Aeronautical Engineeringen_US
dc.description.librarianam2023en_US
dc.description.sponsorshipThe authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, Saudi Arabia, for funding this work through Research Group Program under Grant No. R.G.P. 1/256/43.en_US
dc.description.urihttps://www.mdpi.com/journal/energiesen_US
dc.identifier.citationParimita Panigrahi, S.; Kumar Maharana, S.; Rajashekaraiah, T.; Gopalashetty, R.; Sharifpur, M.; Ahmadi, M.H.; Saleel, C.A.; Abbas, M. Flat Unglazed Transpired Solar Collector: Performance Probability Prediction Approach Using Monte Carlo Simulation Technique. Energies 2022, 15, 8843. https://DOI.org/10.3390/en15238843.en_US
dc.identifier.issn1996-1073 (online)
dc.identifier.other10.3390/ en15238843
dc.identifier.urihttp://hdl.handle.net/2263/91053
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.subjectSolar energyen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectUnglazed transpired solar collector (UTC)en_US
dc.subjectProbability predictionen_US
dc.subject.otherEngineering, built environment and information technology articles SDG-04
dc.subject.otherSDG-04: Quality education
dc.subject.otherEngineering, built environment and information technology articles SDG-07
dc.subject.otherSDG-07: Affordable and clean energy
dc.subject.otherEngineering, built environment and information technology articles SDG-09
dc.subject.otherSDG-09: Industry, innovation and infrastructure
dc.subject.otherEngineering, built environment and information technology articles SDG-12
dc.subject.otherSDG-12: Responsible consumption and production
dc.subject.otherEngineering, built environment and information technology articles SDG-13
dc.subject.otherSDG-13: Climate action
dc.titleFlat unglazed transpired solar collector : performance probability prediction approach using Monte Carlo simulation techniqueen_US
dc.typeArticleen_US

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