Designing zero-energy buildings using advanced fuzzy cognitive maps

Theodor Panagiotakopoulos; Nikolaos Zafeirakis; Iliana Vasiliki Tsoulea; Peter P. Groumpos

doi:10.1007/978-3-030-29743-5_20

Designing zero-energy buildings using advanced fuzzy cognitive maps

Theodor Panagiotakopoulos, Nikolaos Zafeirakis, Iliana Vasiliki Tsoulea, Peter P. Groumpos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Energy efficient buildings are able to provide effective solutions to reduce energy consumption and carbon emissions, support environmental-friendly energy management and facilitate significant energy savings. The concept of Zero-Energy Buildings is gaining a constant increasing focus. The use of Advanced Fuzzy Cognitive Maps (AFCMs) as a new modelling methodology to provide energy performance indicators in a quantified manner that will drive the appropriate integration of required renewable energy generation, in order to design a (nearly) Zero-Energy Building (nZEB) is considered. The new approach is used to calculate the energy balance of buildings in alternative climate contexts and thus to explore their energy efficiency in six use cases. Simulation results and observations show that AFCMs could provide valuable insight to design and development issues of nZEBs.

Original language	English
Title of host publication	Creativity in Intelligent Technologies and Data Science - 3rd Conference, CIT and DS 2019, Proceedings
Editors	Alla G. Kravets, Peter P. Groumpos, Maxim Shcherbakov, Marina Kultsova
Publisher	Springer Verlag
Pages	256-266
Number of pages	11
ISBN (Print)	9783030297428
DOIs	https://doi.org/10.1007/978-3-030-29743-5_20
Publication status	Published - 2019
Externally published	Yes
Event	3rd Conference on Creativity in Intelligent Technologies and Data Science, CIT and DS 2019 - Volgograd, Russian Federation Duration: 16 Sept 2019 → 19 Sept 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1083
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	3rd Conference on Creativity in Intelligent Technologies and Data Science, CIT and DS 2019
Country/Territory	Russian Federation
City	Volgograd
Period	16/09/19 → 19/09/19

Keywords

Advanced fuzzy cognitive maps
Energy efficiency
Zero energy buildings

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-29743-5_20

Cite this

Panagiotakopoulos, T., Zafeirakis, N., Tsoulea, I. V., & Groumpos, P. P. (2019). Designing zero-energy buildings using advanced fuzzy cognitive maps. In A. G. Kravets, P. P. Groumpos, M. Shcherbakov, & M. Kultsova (Eds.), Creativity in Intelligent Technologies and Data Science - 3rd Conference, CIT and DS 2019, Proceedings (pp. 256-266). (Communications in Computer and Information Science; Vol. 1083). Springer Verlag. https://doi.org/10.1007/978-3-030-29743-5_20

Panagiotakopoulos, Theodor ; Zafeirakis, Nikolaos ; Tsoulea, Iliana Vasiliki et al. / Designing zero-energy buildings using advanced fuzzy cognitive maps. Creativity in Intelligent Technologies and Data Science - 3rd Conference, CIT and DS 2019, Proceedings. editor / Alla G. Kravets ; Peter P. Groumpos ; Maxim Shcherbakov ; Marina Kultsova. Springer Verlag, 2019. pp. 256-266 (Communications in Computer and Information Science).

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title = "Designing zero-energy buildings using advanced fuzzy cognitive maps",

abstract = "Energy efficient buildings are able to provide effective solutions to reduce energy consumption and carbon emissions, support environmental-friendly energy management and facilitate significant energy savings. The concept of Zero-Energy Buildings is gaining a constant increasing focus. The use of Advanced Fuzzy Cognitive Maps (AFCMs) as a new modelling methodology to provide energy performance indicators in a quantified manner that will drive the appropriate integration of required renewable energy generation, in order to design a (nearly) Zero-Energy Building (nZEB) is considered. The new approach is used to calculate the energy balance of buildings in alternative climate contexts and thus to explore their energy efficiency in six use cases. Simulation results and observations show that AFCMs could provide valuable insight to design and development issues of nZEBs.",

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Panagiotakopoulos, T, Zafeirakis, N, Tsoulea, IV & Groumpos, PP 2019, Designing zero-energy buildings using advanced fuzzy cognitive maps. in AG Kravets, PP Groumpos, M Shcherbakov & M Kultsova (eds), Creativity in Intelligent Technologies and Data Science - 3rd Conference, CIT and DS 2019, Proceedings. Communications in Computer and Information Science, vol. 1083, Springer Verlag, pp. 256-266, 3rd Conference on Creativity in Intelligent Technologies and Data Science, CIT and DS 2019, Volgograd, Russian Federation, 16/09/19. https://doi.org/10.1007/978-3-030-29743-5_20

Designing zero-energy buildings using advanced fuzzy cognitive maps. / Panagiotakopoulos, Theodor; Zafeirakis, Nikolaos; Tsoulea, Iliana Vasiliki et al.
Creativity in Intelligent Technologies and Data Science - 3rd Conference, CIT and DS 2019, Proceedings. ed. / Alla G. Kravets; Peter P. Groumpos; Maxim Shcherbakov; Marina Kultsova. Springer Verlag, 2019. p. 256-266 (Communications in Computer and Information Science; Vol. 1083).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Energy efficient buildings are able to provide effective solutions to reduce energy consumption and carbon emissions, support environmental-friendly energy management and facilitate significant energy savings. The concept of Zero-Energy Buildings is gaining a constant increasing focus. The use of Advanced Fuzzy Cognitive Maps (AFCMs) as a new modelling methodology to provide energy performance indicators in a quantified manner that will drive the appropriate integration of required renewable energy generation, in order to design a (nearly) Zero-Energy Building (nZEB) is considered. The new approach is used to calculate the energy balance of buildings in alternative climate contexts and thus to explore their energy efficiency in six use cases. Simulation results and observations show that AFCMs could provide valuable insight to design and development issues of nZEBs.

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Panagiotakopoulos T, Zafeirakis N, Tsoulea IV, Groumpos PP. Designing zero-energy buildings using advanced fuzzy cognitive maps. In Kravets AG, Groumpos PP, Shcherbakov M, Kultsova M, editors, Creativity in Intelligent Technologies and Data Science - 3rd Conference, CIT and DS 2019, Proceedings. Springer Verlag. 2019. p. 256-266. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-29743-5_20

Designing zero-energy buildings using advanced fuzzy cognitive maps

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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