• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace@MEF
  • Fakülteler
  • Mühendislik Fakültesi
  • Endüstri Mühendisliği | Industrial Engineering
  • MF, EM, Makale Koleksiyonu
  • View Item
  •   DSpace@MEF
  • Fakülteler
  • Mühendislik Fakültesi
  • Endüstri Mühendisliği | Industrial Engineering
  • MF, EM, Makale Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Advanced Search

Simple nonlinear optimization-based selection of insulation material and window type in turkey: effect of heating and cooling base temperatures

Thumbnail

View/Open

Yayıncı Sürümü - Makale (715.0Kb)

Access

info:eu-repo/semantics/closedAccess

Date

2017

Author

Uçtuğ, Fehmi Görkem
Ağralı, Semra

Metadata

Show full item record

Citation

Uctug, F. G., & Agrali, S. (2017). Simple nonlinear optimization-based selection of insulation material and window type in Turkey: Effect of heating and cooling base temperatures. Journal of Green Building, 12, 2, 79-94.

Abstract

The energy-savings of four hypothetical households in different climatic regions of Turkey were calculated via a nonlinear mixed integer optimization model. The ideal insulation material, its optimum thickness, and the ideal window type were determined. The standard degree days method was used with five different base temperatures for heating and five different base temperatures for cooling. The climatic conditions of the region, the properties of the insulation options, the unit price of fuel and electricity and the base temperature are used as model inputs, whereas the combination of selected insulation material with its optimum thickness and window type are given as model outputs. Stone Wool was found to be the ideal wall insulation material in all scenarios. The optimum window type was found to depend on the heating or cooling requirements of the house, as well as the lifetime of insulation. The region where the energy saving actions are deemed most feasible has been identified as Erzurum (Region 4), followed by Antalya (Region 1). Finally, the effect of changing the base temperature on energy savings was investigated and the results showed that an approximate average increase of $15/degrees C in annual savings is possible. Our model can be used by any prospective home-owner who would like to maximize their energy savings.

Source

Journal Of Green Building

Volume

12

Issue

2

URI

https://hdl.handle.net/20.500.11779/684
https://doi.org/10.3992/1943-4618.12.2.79

Collections

  • Araştırma Çıktıları, Scopus İndeksli Yayınlar Koleksiyonu [429]
  • Araştırma Çıktıları, WOS İndeksli Yayınlar Koleksiyonu [470]
  • MF, EM, Makale Koleksiyonu [34]



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Instruction | Guide | Contact |

DSpace@MEF

by OpenAIRE

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsInstitution AuthorTitlesORCIDSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeThis CollectionBy Issue DateAuthorsInstitution AuthorTitlesORCIDSubjectsTypeLanguageDepartmentCategoryPublisherAccess Type

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Guide|| Instruction || Library || MEF University || OAI-PMH ||

MEF University Library, İstanbul, Turkey
If you find any errors in content please report us

Creative Commons License
MEF University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@MEF:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.