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Title:Optimizacija upravljanja prezračevanja pasivne hiše s pomočjo mehke logike
Authors:ID Posinek, Peter (Author)
ID Dragan, Dejan (Mentor) More about this mentor... New window
Files:.pdf MAG_Posinek_Peter_2013.pdf (6,13 MB)
MD5: 9C09BBD304B5FB8C6A8F8E6ECF164FC3
PID: 20.500.12556/dkum/e5be14c8-7527-4361-8ef9-62d02c914af7
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FL - Faculty of Logistic
Abstract:Vedno večji problemi z zagotavljanjem energije in večja okoljska ozaveščenost sta prisilili gradbeno stroko k učinkovitejši gradnji objektov, ki za svoje delovanje porabijo bistveno manj energije kot še do nedavnega. To pa ima za posledico tudi nekaj negativnih dejavnikov; eden izmed njih so premalo prezračeni objekti zaradi zrakotesne izvedbe objektov. Prezračevanje lahko izvajamo na več načinov; tradicionalno z odpiranjem oken, kar se v praksi pokaže za sedanje čase za zelo pomanjkljivo metodo, ali s prisilnim prezračevanjem, ki pa zahteva kvalitetno regulacijo, ki je tudi predmet raziskovanja. V magistrskem delu je prikazana regulacija prezračevanja z uporabo mehke logike, ki nam na enostaven način omogoča prilagoditi ugodno klimo v bivalnih prostorih. S pomočjo simulacijskega modela lahko delovanje regulacije tudi preverimo in sproti odpravimo pomanjkljivosti in s tem optimiziramo prezračevanje.
Keywords:energija, varčevanje, prezračevanje, mehka logika
Place of publishing:Celje
Publisher:[P. Posinek]
Year of publishing:2012
PID:20.500.12556/DKUM-39318 New window
UDC:681.5.015:628.8(043.2)
COBISS.SI-ID:512484669 New window
NUK URN:URN:SI:UM:DK:SYXEASWE
Publication date in DKUM:15.03.2013
Views:2055
Downloads:215
Metadata:XML DC-XML DC-RDF
Categories:FL
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Secondary language

Language:English
Title:Management of the passive house ventilation using fuzzy logic
Abstract:Ever increasing problems with providing energy and bigger environmental awareness made engineers to build in more efficient ways which are using much less energy than in the past. But this also has few negative effects: one of them is that buildings are not ventilated enough because of airtight way of constructing. Ventilation can be done in many ways; traditionally with opening of windows, which in practise shows its disadvantages or with ventilation with heat recovery which demands quality regulation. This is still a subject of exploration. In this Master work it is presented and discussed a subject of regulation of ventilation using fuzzy logic, which allows us to adapt the conditions in closed spaces to our needs. With the help of simulation model we can check the working of regulation and it allows us to fix any defects. With this we can optimise our ventilation.
Keywords:energy, saving, ventilation, fuzzy logic


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