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024 7 $a10.1007/978-3-030-63629-6
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035   $a(DE-He213)978-3-030-63629-6
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100   $a20201120d2021      uy             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aOptimization of the characterization of the thermal properties of the building envelope $eanalysis of the characterization of the fac?ades using artificial intelligence /$fDavid Bienvenido-Huertas, Carlos Rubio-Bellido
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (vi, 72 pages) $cillustrations (some color)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
311 0 $a3-030-63628-3 
327   $aThe Influence of the Thermal Properties -- Methods to Assess the Thermal Properties -- Methodological Framework of Artificial Intelligence -- Estimation of Stationary Thermal Properties -- Estimation of Periodic Thermal Properties -- Analysis of Other Approaches to Experimental Thermal Characterization.
330   $aThis book is about the optimization of the characterization of the thermal properties of building envelopes, through experimental tests and the use of artificial intelligence. It analyses periodic and stationary thermal properties using measurement approaches based on the heat flow meter method and the thermometric method. These measurements are then analysed using advanced artificial intelligence algorithms. The book is structured in four parts, beginning with a discussion of the importance of thermal properties in the energy performance of buildings. Secondly, theoretical and experimental methods for characterizing thermal properties are analysed. Then, the methodology is developed, and the characteristics and properties of the algorithms used are explored. Finally, the results obtained with the algorithms are analysed and the most appropriate approaches are determined. This book is of interest to researchers, civil and industrial engineers, energy auditors and architects, by providing a resource which improves energy audit tasks in existing buildings.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
606   $aBuildings$xThermal properties$xData processing
606   $aHeat$xTransmission
606   $aHeat engineering
606   $aSustainable architecture
606   $aMass transfer
615  0$aBuildings$xThermal properties$xData processing.
615  0$aHeat$xTransmission.
615  0$aHeat engineering.
615  0$aSustainable architecture.
615  0$aMass transfer.
676   $a720.47
700   $aBienvenido-Huertas$b David$01226513
702   $aRubio-Bellido$b Carlos
801  0$bCaPaEBR
801  1$bCaPaEBR
801  2$bUtOrBLW
906   $aBOOK
912   $a9910483400203321
996   $aOptimization of the characterization of the thermal properties of the building envelope$92847869
997   $aUNINA