Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management
Risk management has become an important concern in the light of current developments in the home energy management sector as well as within the broader considerations regarding the building sector’s energy production and consumption paradigm. The current multi-parameter energy ecosystem structure ra...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/13/2/428 |
| _version_ | 1797621932707807232 |
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| author | Davide Ottonello Alessandro Fermi Daniele Ravizza Marco Barbagelata Stylianos Karatzas Athanasios Chassiakos Antonis Papamanolis |
| author_facet | Davide Ottonello Alessandro Fermi Daniele Ravizza Marco Barbagelata Stylianos Karatzas Athanasios Chassiakos Antonis Papamanolis |
| author_sort | Davide Ottonello |
| collection | DOAJ |
| description | Risk management has become an important concern in the light of current developments in the home energy management sector as well as within the broader considerations regarding the building sector’s energy production and consumption paradigm. The current multi-parameter energy ecosystem structure raises a number of new challenges that require a reliable and robust risk management framework to assist in building management decision making. This paper presents a multi asset risk assessment algorithm, which is part of a risk management application developed for residential buildings within the framework of energy communities and digital energy markets. It describes the logic, principles, and operation of the algorithm, as well as the functionalities related to risk analysis and result visualization. This underpins the necessary means to monitor elements of a home energy system as well as tools for risk prevention and mitigation. The proposed application provides accurate, detailed, and easy to use information to assist decision makers and stakeholders in the context of smart home energy management systems. |
| first_indexed | 2024-03-11T09:04:08Z |
| format | Article |
| id | doaj.art-7646e417207c47b69f5a0cf8006c2035 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-11T09:04:08Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-7646e417207c47b69f5a0cf8006c20352023-11-16T19:32:30ZengMDPI AGBuildings2075-53092023-02-0113242810.3390/buildings13020428Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy ManagementDavide Ottonello0Alessandro Fermi1Daniele Ravizza2Marco Barbagelata3Stylianos Karatzas4Athanasios Chassiakos5Antonis Papamanolis6STAM Srl. Digital Solutions Business Area, 16121 Genova, ItalySTAM Srl. Digital Solutions Business Area, 16121 Genova, ItalySTAM Srl. Digital Solutions Business Area, 16121 Genova, ItalySTAM Srl. Digital Solutions Business Area, 16121 Genova, ItalyProject, Infrastructure and City Management Laboratory, Department of Civil Engineering, University of Patras, 26504 Patras, GreeceProject, Infrastructure and City Management Laboratory, Department of Civil Engineering, University of Patras, 26504 Patras, GreeceProject, Infrastructure and City Management Laboratory, Department of Civil Engineering, University of Patras, 26504 Patras, GreeceRisk management has become an important concern in the light of current developments in the home energy management sector as well as within the broader considerations regarding the building sector’s energy production and consumption paradigm. The current multi-parameter energy ecosystem structure raises a number of new challenges that require a reliable and robust risk management framework to assist in building management decision making. This paper presents a multi asset risk assessment algorithm, which is part of a risk management application developed for residential buildings within the framework of energy communities and digital energy markets. It describes the logic, principles, and operation of the algorithm, as well as the functionalities related to risk analysis and result visualization. This underpins the necessary means to monitor elements of a home energy system as well as tools for risk prevention and mitigation. The proposed application provides accurate, detailed, and easy to use information to assist decision makers and stakeholders in the context of smart home energy management systems.https://www.mdpi.com/2075-5309/13/2/428risk managementfault tree analysiscascade effectenergy management systems |
| spellingShingle | Davide Ottonello Alessandro Fermi Daniele Ravizza Marco Barbagelata Stylianos Karatzas Athanasios Chassiakos Antonis Papamanolis Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management Buildings risk management fault tree analysis cascade effect energy management systems |
| title | Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management |
| title_full | Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management |
| title_fullStr | Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management |
| title_full_unstemmed | Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management |
| title_short | Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management |
| title_sort | development of a multi asset risk assessment algorithm in the context of home energy management |
| topic | risk management fault tree analysis cascade effect energy management systems |
| url | https://www.mdpi.com/2075-5309/13/2/428 |
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