Use of a probabilistic model to design energy transmission and distribution networks for low enthalpy geothermal multiple use schemes

dc.contributor.author	Γελεγένης, Ιωάννης Ι.	el
dc.date.accessioned	2015-04-28T07:03:51Z
dc.date.available	2015-04-28T07:03:51Z
dc.date.issued	2015-04-28
dc.identifier.uri	http://hdl.handle.net/11400/9129
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.source	http://www.sciencedirect.com/	en
dc.subject	Geothermal energy
dc.subject	Probabilistic model
dc.subject	Γεωθερμική ενέργεια
dc.subject	Πιθανοτικό μοντέλο
dc.title	Use of a probabilistic model to design energy transmission and distribution networks for low enthalpy geothermal multiple use schemes	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Solar energy
heal.classification	Τεχνολογία
heal.classification	Ηλιακή ενέργεια
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://skos.um.es/unescothes/C03763
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλιακή ενέργεια
heal.keywordURI	http://zbw.eu/stw/descriptor/14180-2
heal.identifier.secondary	doi:10.1016/j.apenergy.2008.04.011
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2009
heal.bibliographicCitation	Gelegenis, J. (March 2009). Use of a probabilistic model to design energy transmission and distribution networks for low enthalpy geothermal multiple use schemes. Applied Energy. (86)3. pp. 284-289. Elsevier: 2009. Available from: http://www.sciencedirect.com/science/article/pii/S0306261908001062 [Accessed on 2/6/2008]	en
heal.abstract	A probabilistic model is suggested for the design of transmission and distribution network of geothermal energy to potential consumption sites, in cases where the development of various competitive or complementary non-electrical uses is probable, within the broader area of a field. The model can be used to find out (a) the optimum network that may offer the best economic results to the agent who will undertake the development of the field, and (b) the corresponding selling price at which the thermal fluids will be supplied to the end users who are assumed to be other than the above agent. Model input data can be collected in the frame of an appropriate market study, which is roughly specified in this work and commented according to relevant experience from a Greek geothermal field. Finally, applicability of the model is demonstrated through an indicative example.	en
heal.publisher	Elsevier	en
heal.journalName	Applied Energy	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true