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Three different genetic algorithm approaches to the estimation of residential exergy input/output values

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dc.contributor.author Ozturk, H.K.
dc.contributor.author Canyurt, O.E.
dc.contributor.author Hepbasli, A.
dc.contributor.author Utlu, Z.
dc.date.accessioned 2019-08-16T11:41:10Z
dc.date.available 2019-08-16T11:41:10Z
dc.date.issued 2004
dc.identifier.issn 03601323 (ISSN)
dc.identifier.uri http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/5086
dc.description.abstract This study develops residential exergy input/output estimation equations in order to better analyze exergy values and predict the future projections using genetic algorithm (GA) notion. GA EXnergy Input/Output Estimation Model (GAEXIEM/GAEXOEM) is used to estimate the future residential exergy input/output values based on the indicators of gross domestic product, population, import, export, house production, cement production and basic house appliances consumption. The model is applied to Turkey's residential sector, of which exergy input and output values were 861.06 and 77.32 PJ in 2002, respectively. The three different estimation models are proposed in quadratic forms. Developed models are validated with actual data, while future estimation of exergy values is projected for the years between 2003 and 2023. It may be concluded that all the models developed seem to be capable of predicting the residential-commercial exergy input/output values of Turkey as well as countries. This study is also expected to give a new direction to engineers, scientists, and policy makers in implementing energy planning studies and in dictating the energy strategies as a potential tool. © 2004 Elsevier Ltd. All rights reserved.
dc.language.iso English
dc.relation.isversionof 10.1016/j.buildenv.2003.12.002
dc.subject Energy
dc.subject Energy modeling
dc.subject Energy planning
dc.subject Exergy
dc.subject Future projections
dc.subject Genetic algorithm
dc.subject Residential
dc.subject Socio-economic indicators
dc.subject Air pollution control
dc.subject Cement manufacture
dc.subject Data recording
dc.subject Domestic appliances
dc.subject Energy management
dc.subject Engineers
dc.subject Genetic algorithms
dc.subject Public policy
dc.subject Input/output estimation model
dc.subject Residential exergy
dc.subject Scientists
dc.subject Energy utilization
dc.subject exergy
dc.subject residential energy
dc.title Three different genetic algorithm approaches to the estimation of residential exergy input/output values
dc.type Article
dc.relation.journal Building and Environment
dc.identifier.volume 39
dc.identifier.issue 7
dc.identifier.startpage 807
dc.identifier.endpage 816
dc.identifier.index Scopus

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