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EnglishDifferent types of tools, software and empirical methods to size and assess the performance of solar thermal systems are available today. A quick and easy-to-use graphical tool is proposed here. It is based on a single diagram, called a nomograph, which embeds technical and economic information, allowing the optimisation of the size and performance of a solar thermal system starting from the main input parameters, such as the specific costs of the system and the auxiliary fuel. The optimal surfaces are calculated as a function of the fuel cost through several regressions made on data from the application of the F-Chart method for a set of system configurations. The authors have found good correlations among these two parameters for given collectors types, climates and fuel costs.
Aste, N., Beccali, M., & Tagliabue, L. (2012). Nomograph for rapid technical and economic assessment of solar thermal systems for DHW production. SOLAR ENERGY, 86(5), 1491-1503 [10.1016/j.solener.2012.05.022].
| Data di pubblicazione: | 2012 | |
| Titolo: | Nomograph for rapid technical and economic assessment of solar thermal systems for DHW production | |
| Autori: | ||
| Citazione: | Aste, N., Beccali, M., & Tagliabue, L. (2012). Nomograph for rapid technical and economic assessment of solar thermal systems for DHW production. SOLAR ENERGY, 86(5), 1491-1503 [10.1016/j.solener.2012.05.022]. | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.solener.2012.05.022 | |
| Abstract: | Different types of tools, software and empirical methods to size and assess the performance of solar thermal systems are available today. A quick and easy-to-use graphical tool is proposed here. It is based on a single diagram, called a nomograph, which embeds technical and economic information, allowing the optimisation of the size and performance of a solar thermal system starting from the main input parameters, such as the specific costs of the system and the auxiliary fuel. The optimal surfaces are calculated as a function of the fuel cost through several regressions made on data from the application of the F-Chart method for a set of system configurations. The authors have found good correlations among these two parameters for given collectors types, climates and fuel costs. | |
| Settore Scientifico Disciplinare: | Settore ING-IND/11 - Fisica Tecnica Ambientale | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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http://hdl.handle.net/10447/64308
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