LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION
The paper addresses the limitations of traditional segmented approaches in modeling and optimizing energy systems, particularly in geothermal energy and carbon capture and sequestration (CCS). Historically, these systems were analyzed in isolation, with separate tools for subsurface and surface simu...
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| Format: | Article |
| Language: | English |
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University of Kragujevac
2025-06-01
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| Series: | Proceedings on Engineering Sciences |
| Subjects: | |
| Online Access: | https://pesjournal.net/journal/v7-n2/23.pdf |
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| _version_ | 1839642310280740864 |
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| author | Angela Solano Arash Behrang Juan Montelongo Raul Cota Victor Manuel Rodriguez De Vecchis Valentina Gonzalez Perez |
| author_facet | Angela Solano Arash Behrang Juan Montelongo Raul Cota Victor Manuel Rodriguez De Vecchis Valentina Gonzalez Perez |
| author_sort | Angela Solano |
| collection | DOAJ |
| description | The paper addresses the limitations of traditional segmented approaches in modeling and optimizing energy systems, particularly in geothermal energy and carbon capture and sequestration (CCS). Historically, these systems were analyzed in isolation, with separate tools for subsurface and surface simulations, leading to inefficiencies and potential errors due to manual data transfer and inconsistencies between thermodynamic models. To overcome these challenges, the paper introduces an integrated "pore-to-process" workflow, which unifies reservoir simulation with process simulation platforms into a single, cohesive framework. This workflow enhances the accuracy and efficiency of system modeling by ensuring consistent thermodynamic calculations across both subsurface and surface components. By automating data transfer and reducing manual input, the workflow minimizes errors and computational overhead, allowing for real-time data sharing and holistic system optimization. The paper demonstrates the effectiveness of this approach in geothermal energy systems, where it improves efficiency by integrating subsurface dynamics with surface facility performance. |
| format | Article |
| id | doaj-art-0cd97a57dd3745c3bf47a27e2dbd0c45 |
| institution | Matheson Library |
| issn | 2620-2832 2683-4111 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | University of Kragujevac |
| record_format | Article |
| series | Proceedings on Engineering Sciences |
| spelling | doaj-art-0cd97a57dd3745c3bf47a27e2dbd0c452025-07-02T10:38:18ZengUniversity of KragujevacProceedings on Engineering Sciences2620-28322683-41112025-06-017295596210.24874/PES07.02A.003LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATIONAngela Solano 0https://orcid.org/0009-0003-0594-3999Arash Behrang 1https://orcid.org/0000-0002-3667-7457Juan Montelongo2Raul Cota 3https://orcid.org/0009-0009-0895-7038Victor Manuel Rodriguez De Vecchis 4Valentina Gonzalez Perez 5SLB Calgary Canada SLB Calgary Canada SLB Calgary Canada SLB Calgary Canada SLB Calgary Canada SLB Calgary Canada The paper addresses the limitations of traditional segmented approaches in modeling and optimizing energy systems, particularly in geothermal energy and carbon capture and sequestration (CCS). Historically, these systems were analyzed in isolation, with separate tools for subsurface and surface simulations, leading to inefficiencies and potential errors due to manual data transfer and inconsistencies between thermodynamic models. To overcome these challenges, the paper introduces an integrated "pore-to-process" workflow, which unifies reservoir simulation with process simulation platforms into a single, cohesive framework. This workflow enhances the accuracy and efficiency of system modeling by ensuring consistent thermodynamic calculations across both subsurface and surface components. By automating data transfer and reducing manual input, the workflow minimizes errors and computational overhead, allowing for real-time data sharing and holistic system optimization. The paper demonstrates the effectiveness of this approach in geothermal energy systems, where it improves efficiency by integrating subsurface dynamics with surface facility performance.https://pesjournal.net/journal/v7-n2/23.pdfdigital solutionsnew energyoptimisationintegrated workflowgeothermal system modeling |
| spellingShingle | Angela Solano Arash Behrang Juan Montelongo Raul Cota Victor Manuel Rodriguez De Vecchis Valentina Gonzalez Perez LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION Proceedings on Engineering Sciences digital solutions new energy optimisation integrated workflow geothermal system modeling |
| title | LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION |
| title_full | LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION |
| title_fullStr | LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION |
| title_full_unstemmed | LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION |
| title_short | LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION |
| title_sort | leveraging digital solutions for new energy systems modelling and optimisation |
| topic | digital solutions new energy optimisation integrated workflow geothermal system modeling |
| url | https://pesjournal.net/journal/v7-n2/23.pdf |
| work_keys_str_mv | AT angelasolano leveragingdigitalsolutionsfornewenergysystemsmodellingandoptimisation AT arashbehrang leveragingdigitalsolutionsfornewenergysystemsmodellingandoptimisation AT juanmontelongo leveragingdigitalsolutionsfornewenergysystemsmodellingandoptimisation AT raulcota leveragingdigitalsolutionsfornewenergysystemsmodellingandoptimisation AT victormanuelrodriguezdevecchis leveragingdigitalsolutionsfornewenergysystemsmodellingandoptimisation AT valentinagonzalezperez leveragingdigitalsolutionsfornewenergysystemsmodellingandoptimisation |