A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications
<p dir="ltr">Distributed energy generation disrupts traditional energy markets by blurring the line between producers and consumers and enabling the emerging prosumers to trade energy in per-to-peer transactions. Blockchain technology automates peer-to-peer energy trades in a distrib...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513510719881216 |
|---|---|
| author | Ameni Boumaiza (19160734) |
| author2 | Antonio Sanfilippo (127041) |
| author2_role | author |
| author_facet | Ameni Boumaiza (19160734) Antonio Sanfilippo (127041) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ameni Boumaiza (19160734) Antonio Sanfilippo (127041) |
| dc.date.none.fl_str_mv | 2024-02-24T15:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3367999 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Testing_Framework_for_Blockchain-Based_Energy_Trade_Microgrids_Applications/26316961 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Geomatic engineering Information and computing sciences Distributed computing and systems software Spatial temporal access social simulation power grid artificial intelligence solar energy blockchain technology agent based modelling energy marketplace Blockchains Geographic information systems Microgrids Testing Behavioral sciences Renewable energy sources Computational modeling Spatiotemporal phenomena Artificial intelligence , Solar energy Agent-based modeling Energy management Distributed power generation Simulation |
| dc.title.none.fl_str_mv | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Distributed energy generation disrupts traditional energy markets by blurring the line between producers and consumers and enabling the emerging prosumers to trade energy in per-to-peer transactions. Blockchain technology automates peer-to-peer energy trades in a distributed database architecture that achieves security and cost-effectiveness using cryptographic hashing and consensus-based verification. Before its deployment, an energy blockchain trading application needs to be tested in a virtual environment that is analogous to the real-world setting to ensure correct implementation and identify potential obstacles and opportunities. This study suggests executing such a testing within a framework that integrates a Geographic Information System (GIS) environment with an Agent-Based Modeling (ABM) simulation platform. The application of this testing framework to a case study of solar Photovoltaic (PV) energy trade among household peers in in Doha, Qatar, shows how the integration of the GIS environment offers a detailed analysis of transactions in local housing community markets. The ABM simulation reveals that population density, energy market prices, and household proximity significantly influence residential PV energy trading in Qatar. The ensuing simulation environment provides a decision-support platform for designing and implementing decentralized trading systems based on blockchain technology, and high-performance computing can enhance model performance for scalable energy blockchain analysis in Qatar and beyond.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3367999" target="_blank">https://dx.doi.org/10.1109/access.2024.3367999</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_623bfd03c77f4ab848c874191cfcf392 |
| identifier_str_mv | 10.1109/access.2024.3367999 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26316961 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Testing Framework for Blockchain-Based Energy Trade Microgrids ApplicationsAmeni Boumaiza (19160734)Antonio Sanfilippo (127041)EngineeringElectrical engineeringGeomatic engineeringInformation and computing sciencesDistributed computing and systems softwareSpatial temporal accesssocial simulationpower gridartificial intelligencesolar energyblockchain technologyagent based modellingenergy marketplaceBlockchainsGeographic information systemsMicrogridsTestingBehavioral sciencesRenewable energy sourcesComputational modelingSpatiotemporal phenomenaArtificial intelligence ,Solar energyAgent-based modelingEnergy managementDistributed power generationSimulation<p dir="ltr">Distributed energy generation disrupts traditional energy markets by blurring the line between producers and consumers and enabling the emerging prosumers to trade energy in per-to-peer transactions. Blockchain technology automates peer-to-peer energy trades in a distributed database architecture that achieves security and cost-effectiveness using cryptographic hashing and consensus-based verification. Before its deployment, an energy blockchain trading application needs to be tested in a virtual environment that is analogous to the real-world setting to ensure correct implementation and identify potential obstacles and opportunities. This study suggests executing such a testing within a framework that integrates a Geographic Information System (GIS) environment with an Agent-Based Modeling (ABM) simulation platform. The application of this testing framework to a case study of solar Photovoltaic (PV) energy trade among household peers in in Doha, Qatar, shows how the integration of the GIS environment offers a detailed analysis of transactions in local housing community markets. The ABM simulation reveals that population density, energy market prices, and household proximity significantly influence residential PV energy trading in Qatar. The ensuing simulation environment provides a decision-support platform for designing and implementing decentralized trading systems based on blockchain technology, and high-performance computing can enhance model performance for scalable energy blockchain analysis in Qatar and beyond.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3367999" target="_blank">https://dx.doi.org/10.1109/access.2024.3367999</a></p>2024-02-24T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3367999https://figshare.com/articles/journal_contribution/A_Testing_Framework_for_Blockchain-Based_Energy_Trade_Microgrids_Applications/26316961CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/263169612024-02-24T15:00:00Z |
| spellingShingle | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications Ameni Boumaiza (19160734) Engineering Electrical engineering Geomatic engineering Information and computing sciences Distributed computing and systems software Spatial temporal access social simulation power grid artificial intelligence solar energy blockchain technology agent based modelling energy marketplace Blockchains Geographic information systems Microgrids Testing Behavioral sciences Renewable energy sources Computational modeling Spatiotemporal phenomena Artificial intelligence , Solar energy Agent-based modeling Energy management Distributed power generation Simulation |
| status_str | publishedVersion |
| title | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications |
| title_full | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications |
| title_fullStr | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications |
| title_full_unstemmed | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications |
| title_short | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications |
| title_sort | A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications |
| topic | Engineering Electrical engineering Geomatic engineering Information and computing sciences Distributed computing and systems software Spatial temporal access social simulation power grid artificial intelligence solar energy blockchain technology agent based modelling energy marketplace Blockchains Geographic information systems Microgrids Testing Behavioral sciences Renewable energy sources Computational modeling Spatiotemporal phenomena Artificial intelligence , Solar energy Agent-based modeling Energy management Distributed power generation Simulation |