Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorAkkurt, Sedaten
dc.contributor.authorBozokalfa, Gökhan-
dc.descriptionThesis (Master)--Izmir Institute of Technology, Mechanical Engineering, Izmir, 2005en
dc.descriptionIncludes bibliographical references (leaves: 44-45)en
dc.descriptionText in English; Abstract: Turkish and Englishen
dc.descriptionx, 45 leavesen
dc.description.abstractIn this thesis Artificial Neural Networks (ANN) and fuzzy logic models of the building energy use predictions were created. Data collected from a Hawaian 42 storey commercial building chiller plant power consumption and independent hourly climate data were obtained from the National Climate Data Center of the USA. These data were used in both ANN and the fuzzy model setting up and testing. The tropical climate data consisted of dry bulb temperature, wet bulb temperature, dew point temperature, relative humidity percentage, wind speed and wind direction.Both input variables and the output variable of the central chiller plant power consumption were fuzzified, and fuzzy membership functions were employed. The Mamdani fuzzy rules (32 rule) in If .Then format with the centre of gravity (COG; centroid) defuzzification were employed. The average percentage error levels in the fuzzy model and the ANN model were end up with 11.6% (R2.0.88) and 10.3% (R2.0.87), respectively. The fuzzy model is successfully presented for predicting chiller plant energy use in tropical climates with small seasonal and daily variations that makes this fuzzy model.en
dc.publisherIzmir Institute of Technologyen
dc.subject.lcshCooling loaden
dc.subject.lcshCooling towers--Climatic factorsen
dc.subject.lcshClimatology--Computer programsen
dc.subject.lcshNeural networks (Computer science)en
dc.subject.lcshFuzzy logicen
dc.title"ANN" artifical neural networks and fuzzy logic models for cooling load predictionen_US
dc.typeMaster Thesisen_US
dc.institutionauthorBozokalfa, Gökhan-
dc.departmentThesis (Master)--İzmir Institute of Technology, Mechanical Engineeringen_US
item.fulltextWith Fulltext-
item.openairetypeMaster Thesis-
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
Files in This Item:
File Description SizeFormat 
T000372.pdfMasterThesis320.18 kBAdobe PDFThumbnail
Show simple item record

CORE Recommender

Page view(s)

checked on Apr 15, 2024


checked on Apr 15, 2024

Google ScholarTM


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.