TY  - GEN
AU  - Ko?í,Václav
AU  - Lakatos,Ákos
AU  - ?erný,Robert
TI  - Heat and Mass Transfer in Building Energy Performance Assessment
SN  - books978-3-03921-927-8
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - CFD
KW  - thermal performance
KW  - Metamodeling
KW  - carbon black
KW  - energy balance
KW  - XRD
KW  - air terminal device
KW  - Hygrothermal assessment
KW  - thermal energy storage
KW  - fibrous aerogel
KW  - Probabilistic assessment
KW  - natural ventilation
KW  - thermal properties
KW  - DSC
KW  - advanced personalized ventilation
KW  - temperature
KW  - noise level
KW  - geopolymers
KW  - elevation
KW  - plaster
KW  - relative humidity
KW  - air velocity
KW  - ground-granulated blast-furnace slag
KW  - heat treatment
KW  - turbulence
KW  - phase change temperature
KW  - energy saving
KW  - mechanical properties
KW  - building envelope
KW  - SEM
KW  - Time series modelling
KW  - self-heating
KW  - mass flow rate prediction
KW  - thermal conductivity
KW  - Convolutional neural networks
KW  - single-sided
KW  - correlation function
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/1865
UR  - https://directory.doabooks.org/handle/20.500.12854/49168
ER  -