Modelling Zero Energy Buildings using Fuzzy Cognitive Maps
Session
Computer Science and Communication Engineering
Description
In recent years the concept of Zero Energy Building (ZEB) has attracted international interest and has led to the beginning of a new generation of buildings. There is a worldwide attempt to define the concept of ZEB and specify a methodology of modeling its operation. Defining the parameters that should be taken into consideration and classifying ZEBs helps that attempt. Energy management and intelligent control are playing a key role in the successful operation of a ZEB, improving its performance, and reducing its consumption. The method of Fuzzy Cognitive Maps (FCMs) is appropriate for problems with many parameters, where mathematical modeling and calculations have difficult or, in some cases, impossible solution. ZEB is a complex system and therefore it should be as "intelligent" as possible and the use of FCMs in ZEB operation modeling is a very promising field. In this paper simulation results will be presented based on real data of big public and private buildings.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-50-5
Location
UBT Kampus, Lipjan
Start Date
29-10-2022 12:00 AM
End Date
30-10-2022 12:00 AM
DOI
10.33107/ubt-ic.2022.273
Recommended Citation
Avgeris, Lazaros and Groumpos, Peter P., "Modelling Zero Energy Buildings using Fuzzy Cognitive Maps" (2022). UBT International Conference. 281.
https://knowledgecenter.ubt-uni.net/conference/2022/all-events/281
Modelling Zero Energy Buildings using Fuzzy Cognitive Maps
UBT Kampus, Lipjan
In recent years the concept of Zero Energy Building (ZEB) has attracted international interest and has led to the beginning of a new generation of buildings. There is a worldwide attempt to define the concept of ZEB and specify a methodology of modeling its operation. Defining the parameters that should be taken into consideration and classifying ZEBs helps that attempt. Energy management and intelligent control are playing a key role in the successful operation of a ZEB, improving its performance, and reducing its consumption. The method of Fuzzy Cognitive Maps (FCMs) is appropriate for problems with many parameters, where mathematical modeling and calculations have difficult or, in some cases, impossible solution. ZEB is a complex system and therefore it should be as "intelligent" as possible and the use of FCMs in ZEB operation modeling is a very promising field. In this paper simulation results will be presented based on real data of big public and private buildings.