Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Betul Bektas Ekici"'
Autor:
Betul Bektas Ekici
Publikováno v:
Journal of Applied Remote Sensing. 15
Especially in recent years, studies to determine the effects of natural disasters from satellite images have been very popular. The destruction caused by the disaster and the early detection of the affected structures are of great importance for the
Autor:
Betul Bektas Ekici
Publikováno v:
Measurement. 50:255-262
Accurate prediction of daily solar insolation has been one of the most important issues of solar engineering. The amount of solar insolation on a given location is a vital data for photovoltaic plants. Systems efficiency is easily affected by the cha
Publikováno v:
PLANARCH - Design and Planning Research, Vol 6, Iss 2, Pp 40-46 (2022)
Externí odkaz:
https://doaj.org/article/9e277780f1fc43ee806e1240ab7c2e1b
Autor:
Betul Bektas Ekici, U. Teoman Aksoy
Publikováno v:
Volume: 31, Issue: 1
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Bu calismada tek bolmeden olusan bir bina prototipinin yatay ve dort ana yone bakan dusey yuzeyleri uzerine gelen gunes isinimi piranometrelerle olculmus ve bir veri kaydedicisiyle kayit altina alinmistir. Olcumler sonucu elde edilen gunes isinimi ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2638b0803e4b9e0c5bf3a31de0ffa7a
https://dergipark.org.tr/tr/pub/gazimmfd/issue/26448/278473
https://dergipark.org.tr/tr/pub/gazimmfd/issue/26448/278473
Publikováno v:
Applied Energy. 92:211-217
In Turkey the insulation of buildings was not a common occurrence until it became obligatory after the publication of the TS 825 Turkish Thermal Insulation Standard. However, most of the buildings still have little or no insulation. The aim of this s
Autor:
U. Teoman Aksoy, Betul Bektas Ekici
Publikováno v:
Expert Systems with Applications. 38:5352-5358
Studies performed on the prediction of building energy consumption are increasingly important for selecting the best control strategies against the excessive energy consumptions. This paper presents Adaptive Network Based Inference System (ANFIS) mod
Autor:
Betul Bektas Ekici, U. Teoman Aksoy
Publikováno v:
Advances in Engineering Software. 40:356-362
In this study, the main objective is to predict buildings energy needs benefitting from orientation, insulation thickness and transparency ratio by using artificial neural networks. A backpropagation neural network has been preferred and the data hav
Autor:
Ufuk Teoman Aksoy, Betul Bektas Ekici
Publikováno v:
METU JOURNAL OF THE FACULTY OF ARCHITECTURE. 30
Gunes isinimi bina enerji simulasyonlarinda ozellikle pencerelerden olan gunes isisi kazanclarinin hesaplanmasinda kullanilan onemli bir parametredir. Ulkemizde Binalarda Enerji Performansi Yonetmeligi ve onun eki olan BEP-TR Hesap Yontemi’nde ikli
Autor:
Betül Bektaş Ekici
Publikováno v:
Megaron, Vol 10, Iss 1, Pp 14-24 (2015)
TTS 825 Thermal Insulation Requirements in Buildings (the obligatory standard) is still in effect and used for calculating the heating energy requirements of buildings in Turkey. The total solar heat gain through windows is calculated with the solar
Externí odkaz:
https://doaj.org/article/393768be40a84e508727e4c418df8458