A genetic programming approach for the prediction of solar chimney power plant power

Basit Öğe Kaydı
dc.authoridkallioglu, mehmet ali/0000-0002-6874-1564
dc.contributor.authorKallioglu, Mehmet Ali
dc.contributor.authorAvci, Ali Serkan
dc.contributor.authorYilmaz, Ahmet
dc.contributor.authorKarakaya, Hakan
dc.date.accessioned2024-01-22T12:22:22Z
dc.date.available2024-01-22T12:22:22Z
dc.date.issued2023
dc.departmentKMÜen_US
dc.description.abstractThis study empirically examines the effectiveness of the solar chimney power plants (SCPP), which is an innovative method for the use of solar energy, in the middle latitude region (37.88 degrees N) in the northern hemisphere. Experimental measurement parameters of temperature, velocity, and radiation obtained from four cardinal directions (north, south, east, and west) and from 26 different locations were recorded throughout the day (08:00 am-07:30 pm). These measurements were used to calculate and estimate the power values used to measure the energy efficiency of the solar chimney. In the study, the genetic programming method was used to estimate the power value. In the five different forecast models developed, 15 different parameters were used diagonally. The obtained power estimation equations were cross-checked using statistical methods. Determination coefficient value is higher than >0.90 in all equations and is close to the ideal. In the comparison of all statistical models, the Global Performance Indicator (GPI) was used, with the best result obtained from Model 2. The results of this model are MAPE:6.5233, MBE: -0.0124, RMSE:1.1036 ve t-stat:0.0374, which is quite close to zero. In addition, the power values obtained from both the calculated and developed models were dimensioned and compared over the power-time factor of eight different studies in the literature. The mean relative error value nof the values calculated as a result of this comparison varies between 2.3% and 21.3%. This study provides a model for the different geometries of solar chimney prototypes and provides an example for measuring the design and performance of solar chimney systems to be installed in the middle latitudes and in regions with Csa climate characteristics, and is recommended for academic and industrial users. The mathematical models developed can be considered as a step to increase the efficiency of the solar chimney power plants.en_US
dc.description.sponsorshipThe authors are thankful to the energy research laboratory, University of Batman, Batman, Turkey.; University of Batman, Batman, Turkeyen_US
dc.description.sponsorshipThe authors are thankful to the energy research laboratory, University of Batman, Batman, Turkey.en_US
dc.identifier.doi10.1177/09576509231208815
dc.identifier.issn0957-6509
dc.identifier.issn2041-2967
dc.identifier.scopus2-s2.0-85174399008
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1177/09576509231208815
dc.identifier.urihttps://hdl.handle.net/11492/7941
dc.identifier.wosWOS:001085583700001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSage Publications Ltden_US
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers Part A-Journal of Power and Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzkmusnmz
dc.subjectGenetic programmingen_US
dc.subjectsolar chimney power planten_US
dc.subjectsolar energyen_US
dc.titleA genetic programming approach for the prediction of solar chimney power plant poweren_US
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu