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The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies. The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station. The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists.
Autorius: | Nuno M. M. Ramos, João M. P. Q. Delgado, Sofia Manuel, Maria L. Simões, Ricardo M. S. F. Almeida, |
Serija: | SpringerBriefs in Applied Sciences and Technology |
Leidėjas: | Springer Nature Switzerland |
Išleidimo metai: | 2015 |
Knygos puslapių skaičius: | 60 |
ISBN-10: | 3319222937 |
ISBN-13: | 9783319222936 |
Formatas: | 235 x 155 x 4 mm. Knyga minkštu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions“