Estimation of hourly temperature data from their monthly average values

dc.contributor.author	Γελεγένης, Ιωάννης Ι.	el
dc.date.accessioned	2015-04-28T08:37:26Z
dc.date.available	2015-04-28T08:37:26Z
dc.date.issued	2015-04-28
dc.identifier.uri	http://hdl.handle.net/11400/9141
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Temperature data
dc.subject	Climatic data
dc.subject	Τα δεδομένα της θερμοκρασίας
dc.subject	Κλιματικά δεδομένα
dc.title	Estimation of hourly temperature data from their monthly average values	en
heal.type	journalArticle
heal.secondaryTitle	case study of Greece	en
heal.classification	Technology
heal.classification	Solar thermal energy
heal.classification	Τεχνολογία
heal.classification	Ηλιακή θέρμανση
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh89002372
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλιακή θέρμανση
heal.keywordURI	http://skos.um.es/unescothes/C00629
heal.identifier.secondary	doi:10.1016/S0960-1481(98)00779-4
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	1999
heal.bibliographicCitation	Gelegenis, J. (September 1999). Estimation of hourly temperature data from their monthly average values: case study of Greece. Renewable Energy. 1891-2). pp. 49-60. Elsevier: 1999. Available from: http://www.sciencedirect.com/science/article/pii/S0960148198007794 [Accessed 7/7/1999]	en
heal.abstract	An algorithm for the extraction of hourly temperature distributions from their monthly average values is presented. The algorithm is applicable to broad regions (country level) and is especially useful for the approximate estimation of heating degree-days. This last quantity, which is indispensable for the evaluation of space heating projects, can be calculated for various base temperatures and for cases where heating is either perpetually applied or during selected hours of a day only. The algorithm is analysed and compared with previously suggested ones, while a case study is additionally included to demonstrate its applicability. As an immediate consequence of comprehensive tables with temperature data and a map which are also embodied in the paper, approximate hourly temperature data are extractable for all over Greece, the country which is referred to in the case study.	en
heal.publisher	Elsevier	en
heal.journalName	Renewable Energy	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true