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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/700C29B3-5A33-4BBE-8FD2-616725B102BA | - |
| Αναγνωριστικό | https://doi.org/10.1007/1-4020-5399-1_10 | - |
| Γλώσσα | en | - |
| Τίτλος | Eco-eficiency analysis of an electrochromic smart window prototype | en |
| Δημιουργός | Papaefthimiou Spiros | en |
| Δημιουργός | Παπαευθυμιου Σπυριδων | el |
| Δημιουργός | Yianoulis Panayiotis | en |
| Δημιουργός | Syrrakou Elleni | en |
| Εκδότης | Springer Verlag | en |
| Περίληψη | The environmental efficiency of a prototype electrochromic window was studied using eco-efficiency methodology, combined with life cycle assessment. The data obtained on the specified eco-efficiency indicators provide significant information that could be used in decision-making for the optimisation of the window's energy and environmental performance. The energy efficiency of the product is affected by its life expectancy and the climatic zone. It was found that in cooling-dominated areas the energy needs of buildings can be reduced by more than 55%, while the total energy saved can be 30 times the energy consumed during an expected 25 years life cycle. The corresponding CO2 and human toxic emissions reductions were estimated to be 6 times those achieved with a conventional double-glazed unit. An expected retail price of 200 euros per m2 for an electrochromic window would result in a cost of less than 0.10 euros for each kWh saved over a 20-year lifetime. Consequently, purchase cost reduction will be necessary if such devices are to meet market expectations for solar control window products. | en |
| Τύπος | Σύντομη Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Short Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-12 | - |
| Ημερομηνία Δημοσίευσης | 2004 | - |
| Βιβλιογραφική Αναφορά | S. Papaefthimiou, E. Syrrakou, P. Yianoulis, "Eco-eficiency analysis of an electrochromic smart window prototype," in International Eco-Efficiency Conference, Eco efficiency for sustainability: Quantified methods for decision making, 2004, pp. 247-259. doi: 10.1007/1-4020-5399-1_10 | en |
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