Open AccessSelection of the Climate Parameters for a Building Envelopes and Indoor Climate Systems Design
Author(s) -
Oleg Samarin,
Sabina Paulauskaitė,
Kęstutis Valančius,
Kęstutis Čiuprinskas
Publication year - 2017
Publication title -
mokslas - lietuvos ateitis
Language(s) - English
Resource type - Journals
eISSN - 2029-2341
pISSN - 2029-2252
DOI - 10.3846/mla.2017.1050
Subject(s) - climate change , selection (genetic algorithm) , probabilistic logic , building envelope , monte carlo method , envelope (radar) , computer science , environmental science , climate model , meteorology , statistics , thermal , mathematics , geography , geology , machine learning , telecommunications , artificial intelligence , oceanography , radar
The current research considers the principles of selection of the climate information needed for the building envelope and indoor climate design and adopted in Russia and some European countries. Special reference has been made to the shortcoming of methodologies that include the notion of a typical year, and the advantages of climate data sets generated via software-based designs, using pseudo-random number generators. The results of the average temperature of the coldest five-day period with various supplies were calculated using the numerical Monte-Carlo simulations, as well as the current climate data. It has been shown that there is a fundamental overlap between the statistical distribution of temperatures of both instances and the possibility of implementation a probabilistic-statistical method principle in the development of certain climate data, relative to envelopes and thermal conditions of a building. The calculated values were combined with the analytic expression of the normal law of random distribution and the correlations needed for the main parameter selection