| 000 | 03209nam a2200469 i 4500 | ||
|---|---|---|---|
| 005 | 20260304113952.0 | ||
| 006 | m o d | ||
| 007 | cr nn||||mamaa | ||
| 008 | 201120s2021 sz m ob u000 0 eng d | ||
| 020 |
_a9783030636296 _q(electronic bk.) |
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| 020 |
_a3030636291 _q(electronic bk.) |
||
| 020 | _z3030636283 | ||
| 020 | _z9783030636289 | ||
| 024 | 7 |
_a10.1007/978-3-030-63629-6 _2doi |
|
| 035 |
_a(OCoLC)1228050569 _z(OCoLC)1224142671 _z(OCoLC)1224370821 _z(OCoLC)1228843721 _z(OCoLC)1232852701 _z(OCoLC)1237458019 |
||
| 040 |
_aSFB _beng _cSFB _dOCLCO _dYDXIT _dGW5XE _dOCLCF _dERF _dEBLCP _dUPM _dYDX _dOCLCO _dBAUN _erda |
||
| 041 | 0 | _aeng | |
| 049 | _aBAUN_MERKEZ | ||
| 050 | 4 |
_aNA2542.36 _b.B54 2021 |
|
| 072 | 7 |
_aAMCR _2bicssc |
|
| 072 | 7 |
_aARC018000 _2bisacsh |
|
| 072 | 7 |
_aAMCR _2thema |
|
| 082 | 0 | 4 | _223 |
| 082 | 0 | 4 | _223 |
| 100 |
_aBienvenido-Huertas, David, _eaut _9121724 |
||
| 245 | 1 | 0 |
_aOptimization of the characterization of the thermal properties of the building envelope : _banalysis of the characterization of the façades using artificial intelligence / _cDavid Bienvenido-Huertas, Carlos Rubio-Bellido. |
| 264 | 1 |
_aCham : _bSpringer, _c2021. |
|
| 300 |
_a1 online resource (vi, 72 pages) : _billustrations (some color) |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 1 |
_aSpringerBriefs in applied sciences and technology, _x2191-530X. |
|
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | 0 |
_tThe Influence of the Thermal Properties _t-- Methods to Assess the Thermal Properties _t-- Methodological Framework of Artificial Intelligence _t-- Estimation of Stationary Thermal Properties _t-- Estimation of Periodic Thermal Properties _t-- Analysis of Other Approaches to Experimental Thermal Characterization. |
| 520 | _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. | ||
| 650 | 0 |
_aBuildings _xThermal properties. _999955 |
|
| 650 | 0 |
_aSustainable architecture. _97919 |
|
| 700 | 1 |
_aRubio-Bellido, Carlos _eaut _9121726 |
|
| 776 | 0 | 8 | _z3030636283. |
| 830 | 0 |
_aSpringerBriefs in applied sciences and technology. _9108420 |
|
| 942 |
_2lcc _cKT |
||
| 999 |
_c94185 _d94185 |
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