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...

Full description

Saved in:
Bibliographic Details
:
Year of Publication:2019
Language:English
Physical Description:1 electronic resource (122 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 04065nam-a2200733z--4500
001 993544279404498
005 20231214133605.0
006 m o d
007 cr|mn|---annan
008 202102s2019 xx |||||o ||| 0|eng d
020 |a 3-03921-927-8 
035 |a (CKB)4100000010106315 
035 |a (oapen)https://directory.doabooks.org/handle/20.500.12854/49168 
035 |a (EXLCZ)994100000010106315 
041 0 |a eng 
100 1 |a Ko?í, Václav  |4 auth 
245 1 0 |a Heat and Mass Transfer in Building Energy Performance Assessment 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2019 
300 |a 1 electronic resource (122 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a 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. 
546 |a English 
653 |a CFD 
653 |a thermal performance 
653 |a Metamodeling 
653 |a carbon black 
653 |a energy balance 
653 |a XRD 
653 |a air terminal device 
653 |a Hygrothermal assessment 
653 |a thermal energy storage 
653 |a fibrous aerogel 
653 |a Probabilistic assessment 
653 |a natural ventilation 
653 |a thermal properties 
653 |a DSC 
653 |a advanced personalized ventilation 
653 |a temperature 
653 |a noise level 
653 |a geopolymers 
653 |a elevation 
653 |a plaster 
653 |a relative humidity 
653 |a air velocity 
653 |a ground-granulated blast-furnace slag 
653 |a heat treatment 
653 |a turbulence 
653 |a phase change temperature 
653 |a energy saving 
653 |a mechanical properties 
653 |a building envelope 
653 |a SEM 
653 |a Time series modelling 
653 |a self-heating 
653 |a mass flow rate prediction 
653 |a thermal conductivity 
653 |a Convolutional neural networks 
653 |a single-sided 
653 |a correlation function 
776 |z 3-03921-926-X 
700 1 |a Lakatos, Ákos  |4 auth 
700 1 |a ?erný, Robert  |4 auth 
906 |a BOOK 
ADM |b 2023-12-15 05:58:44 Europe/Vienna  |f system  |c marc21  |a 2020-02-01 22:26:53 Europe/Vienna  |g false 
AVE |i DOAB Directory of Open Access Books  |P DOAB Directory of Open Access Books  |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337596410004498&Force_direct=true  |Z 5337596410004498  |b Available  |8 5337596410004498