Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này:
http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/33559
Toàn bộ biểu ghi siêu dữ liệu
Trường DC | Giá trị | Ngôn ngữ |
---|---|---|
dc.contributor.author | Černý, Robert | - |
dc.contributor.author | Lakatos, Ákos | - |
dc.contributor.author | Kočí (Eds.), Václav | - |
dc.date.accessioned | 2021-08-17T10:21:49Z | - |
dc.date.available | 2021-08-17T10:21:49Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 978-3-03921-926-1 | - |
dc.identifier.uri | http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/33559 | - |
dc.description | xii, 108 p. ; 31,1 Mb ; https://doi.org/10.3390/books978-3-03921-927-8 ; CC BY-NC-ND | vi |
dc.description.abstract | "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. Potential topics include but are not limited to the following: Development, calibration, and validation of advanced mathematical models for the description of heat and mass transfer in building materials and structures Computational modeling of heat and mass transfer in building materials and structures aimed at energy performance assessment Boundary conditions for building energy performance simulations in light of climate change trends Advanced experimental techniques for the determination of heat and mass transport and the storage properties of building materials On site monitoring and verification of building energy performance Research and development of new materials with high potential to improve the energy performance of building" | vi |
dc.description.tableofcontents | "About the Special Issue Editors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii Preface to ”Heat and Mass Transfer in Building Energy Performance Assessment” . . . . . . . ix Jan Kocˇı´, Va´clav Kocˇı´ and Robert Cˇ erny´ A Method for Rapid Evaluation of Thermal Performance of Wall Assemblies Based on Geographical Location Reprinted from: Energies 2019, 12, 1353, doi:10.3390/en12071353 . . . . . . . . . . . . . . . . . . . 1 Imre Cs´aky, T¨unde Kalm´ar and Ferend Kalm´ar Operation Testing of an Advanced Personalized Ventilation System Reprinted from: Energies 2019, 12, 1596, doi:10.3390/en12091596 . . . . . . . . . . . . . . . . . . . 17 Panagiotis Stamatopoulos, Panagiotis Drosatos, Nikos Nikolopoulos and Dimitrios Rakopoulos Determination of a Methodology to Derive Correlations Between Window Opening Mass Flow Rate and Wind Conditions Based on CFD Results Reprinted from: Energies 2019, 12, 1600, doi:10.3390/en12091600 . . . . . . . . . . . . . . . . . . . 30 A´ kos Lakatos, Attila Csı´k, Anton Trnı´k and Istva´n Budai Effects of the Heat Treatment in the Properties of Fibrous Aerogel Thermal Insulation Reprinted from: Energies 2019, 12, 2001, doi:10.3390/en12102001 . . . . . . . . . . . . . . . . . . . 51 Jan Foˇrt, Radim´ır Novotn´y, Anton Trn´ık and Robert ˇCern´y Preparation and Characterization of Novel Plaster with Improved Thermal Energy Storage Performance Reprinted from: Energies 2019, 12, 3318, doi:10.3390/en12173318 . . . . . . . . . . . . . . . . . . . 63 Astrid Tijskens, Hans Janssen and Staf Roels Optimising Convolutional Neural Networks to Predict the Hygrothermal Performance of Building Components Reprinted from: Energies 2019, 12, 3966, doi:10.3390/en12203966 . . . . . . . . . . . . . . . . . . . 76 Luka´sˇ Fiala,Michaela Petrˇı´kova´,Wei-Ting Lin, Lubosˇ Podolka and Robert Cˇ erny´ Self-Heating Ability of Geopolymers Enhanced by Carbon Black Admixtures at Different Voltage Loads Reprinted from: Energies 2019, 12, 4121, doi:10.3390/en12214121 . . . . . . . . . . . . . . . . . . . 94 v" | vi |
dc.language.iso | en | vi |
dc.publisher | MDPI | vi |
dc.subject | heat and mass transfer | vi |
dc.subject | building materials | vi |
dc.subject | buildings | vi |
dc.subject | energy performance | vi |
dc.subject | computational modeling | vi |
dc.subject | experimental analysis | vi |
dc.title | Heat and Mass Transfer in Building Energy Performance Assessment | vi |
dc.type | Book | vi |
Bộ sưu tập: | Kỹ thuật công trình xây dựng_TLNM_SACH |
Các tập tin trong tài liệu này:
Khi sử dụng các tài liệu trong Thư viện số phải tuân thủ Luật bản quyền.