Heat and Mass Transfer in Building Energy Performance Assessment
The building industry is influenced by many factors and trends reflecting the current situation and developments in social, economic, technical, and scientific fields. One of the most important trends seeks to minimize the energy demand. This can be achieved by promoting the construction of building...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 43201 |
| الوسوم: |
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| _version_ | 1869529154677899264 |
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| author | Ko?í, Václav Lakatos, Ákos ?erný, Robert |
| author_browse | ?erný, Robert Ko?í, Václav Lakatos, Ákos |
| author_facet | Ko?í, Václav Lakatos, Ákos ?erný, Robert |
| author_sort | Ko?í, Václav |
| collection | Directory of Open Access Books |
| description | The building industry is influenced by many factors and trends reflecting the current situation and developments in social, economic, technical, and scientific fields. One of the most important trends seeks to minimize the energy demand. This can be achieved by promoting the construction of buildings with better thermal insulating capabilities of their envelopes and better efficiency in heating, ventilation, and air conditioning systems. Any credible assessment of building energy performance includes the identification and simulation of heat and mass transfer phenomena in both the building envelope and the interior of the building. As the interaction between design elements, climate change, user behavior, heating effectiveness, ventilation, air conditioning systems, and lighting is not straightforward, the assessment procedure can present a complex and challenging task. The simulations should then involve all factors affecting the energy performance of the building in questions. However, the appropriate choice of physical model of heat and mass transfer for different building elements is not the only factor affecting the output of building energy simulations. The accuracy of the material parameters applied in the models as input data is another potential source of uncertainty. For instance, neglecting the dependence of hygric and thermal parameters on moisture content may affect the energy assessment in a significant way. Boundary conditions in the form of weather data sets represent yet another crucial factor determining the uncertainty of the outputs. In light of recent trends in climate change, this topic is vitally important. This Special Issue aims at providing recent developments in laboratory analyses, computational modeling, and in situ measurements related to the assessment of building energy performance based on the proper identification of heat and mass transfer processes in building structures. |
| format | Online |
| id | doab-20.500.12854ir-49168 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-491682024-04-11T15:10:35Z Heat and Mass Transfer in Building Energy Performance Assessment Ko?í, Václav Lakatos, Ákos ?erný, Robert TA1-2040 T1-995 TA401-492 CFD thermal performance Metamodeling carbon black energy balance XRD air terminal device Hygrothermal assessment thermal energy storage fibrous aerogel Probabilistic assessment natural ventilation thermal properties DSC advanced personalized ventilation temperature noise level geopolymers elevation plaster relative humidity air velocity ground-granulated blast-furnace slag heat treatment turbulence phase change temperature energy saving mechanical properties building envelope SEM Time series modelling self-heating mass flow rate prediction thermal conductivity Convolutional neural networks single-sided correlation function thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The building industry is influenced by many factors and trends reflecting the current situation and developments in social, economic, technical, and scientific fields. One of the most important trends seeks to minimize the energy demand. This can be achieved by promoting the construction of buildings with better thermal insulating capabilities of their envelopes and better efficiency in heating, ventilation, and air conditioning systems. Any credible assessment of building energy performance includes the identification and simulation of heat and mass transfer phenomena in both the building envelope and the interior of the building. As the interaction between design elements, climate change, user behavior, heating effectiveness, ventilation, air conditioning systems, and lighting is not straightforward, the assessment procedure can present a complex and challenging task. The simulations should then involve all factors affecting the energy performance of the building in questions. However, the appropriate choice of physical model of heat and mass transfer for different building elements is not the only factor affecting the output of building energy simulations. The accuracy of the material parameters applied in the models as input data is another potential source of uncertainty. For instance, neglecting the dependence of hygric and thermal parameters on moisture content may affect the energy assessment in a significant way. Boundary conditions in the form of weather data sets represent yet another crucial factor determining the uncertainty of the outputs. In light of recent trends in climate change, this topic is vitally important. This Special Issue aims at providing recent developments in laboratory analyses, computational modeling, and in situ measurements related to the assessment of building energy performance based on the proper identification of heat and mass transfer processes in building structures. 2021-02-11T15:10:09Z 2021-02-11T15:10:09Z 2020-01-07 09:08:26 2019 book 43201 9783039219261 9783039219278 https://directory.doabooks.org/handle/20.500.12854/49168 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1865 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-927-8 10.3390/books978-3-03921-927-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039219261 9783039219278 122 open access |
| spellingShingle | TA1-2040 T1-995 TA401-492 CFD thermal performance Metamodeling carbon black energy balance XRD air terminal device Hygrothermal assessment thermal energy storage fibrous aerogel Probabilistic assessment natural ventilation thermal properties DSC advanced personalized ventilation temperature noise level geopolymers elevation plaster relative humidity air velocity ground-granulated blast-furnace slag heat treatment turbulence phase change temperature energy saving mechanical properties building envelope SEM Time series modelling self-heating mass flow rate prediction thermal conductivity Convolutional neural networks single-sided correlation function thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Ko?í, Václav Lakatos, Ákos ?erný, Robert Heat and Mass Transfer in Building Energy Performance Assessment |
| title | Heat and Mass Transfer in Building Energy Performance Assessment |
| title_full | Heat and Mass Transfer in Building Energy Performance Assessment |
| title_fullStr | Heat and Mass Transfer in Building Energy Performance Assessment |
| title_full_unstemmed | Heat and Mass Transfer in Building Energy Performance Assessment |
| title_short | Heat and Mass Transfer in Building Energy Performance Assessment |
| title_sort | heat and mass transfer in building energy performance assessment |
| topic | TA1-2040 T1-995 TA401-492 CFD thermal performance Metamodeling carbon black energy balance XRD air terminal device Hygrothermal assessment thermal energy storage fibrous aerogel Probabilistic assessment natural ventilation thermal properties DSC advanced personalized ventilation temperature noise level geopolymers elevation plaster relative humidity air velocity ground-granulated blast-furnace slag heat treatment turbulence phase change temperature energy saving mechanical properties building envelope SEM Time series modelling self-heating mass flow rate prediction thermal conductivity Convolutional neural networks single-sided correlation function thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 TA401-492 CFD thermal performance Metamodeling carbon black energy balance XRD air terminal device Hygrothermal assessment thermal energy storage fibrous aerogel Probabilistic assessment natural ventilation thermal properties DSC advanced personalized ventilation temperature noise level geopolymers elevation plaster relative humidity air velocity ground-granulated blast-furnace slag heat treatment turbulence phase change temperature energy saving mechanical properties building envelope SEM Time series modelling self-heating mass flow rate prediction thermal conductivity Convolutional neural networks single-sided correlation function thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 43201 |
| work_keys_str_mv | AT koivaclav heatandmasstransferinbuildingenergyperformanceassessment AT lakatosakos heatandmasstransferinbuildingenergyperformanceassessment AT ernyrobert heatandmasstransferinbuildingenergyperformanceassessment |