Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources
<p dir="ltr">This paper proposes a snow ablation optimizer (SAO) for the dynamic dispatch of power and natural gas assimilating solar photovoltaic plants, wind generators, pumped hydro energy storage, and plug‐in electric vehicle parking lots with charging and discharging facilities...
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2025
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| _version_ | 1864513536806354944 |
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| author | Subhamay Basu (16323394) |
| author2 | Mousumi Basu (4803894) Chitralekha Jena (17678178) Mario Elzein (22173232) Wulfran Fendzi Mbasso (19712167) Mohamed Metwally Mahmoud (15213516) Alfian Ma'arif (23544658) Khaled A. Metwally (19852284) Salma Abdelaal Shaaban (21398780) |
| author2_role | author author author author author author author author |
| author_facet | Subhamay Basu (16323394) Mousumi Basu (4803894) Chitralekha Jena (17678178) Mario Elzein (22173232) Wulfran Fendzi Mbasso (19712167) Mohamed Metwally Mahmoud (15213516) Alfian Ma'arif (23544658) Khaled A. Metwally (19852284) Salma Abdelaal Shaaban (21398780) |
| author_role | author |
| dc.creator.none.fl_str_mv | Subhamay Basu (16323394) Mousumi Basu (4803894) Chitralekha Jena (17678178) Mario Elzein (22173232) Wulfran Fendzi Mbasso (19712167) Mohamed Metwally Mahmoud (15213516) Alfian Ma'arif (23544658) Khaled A. Metwally (19852284) Salma Abdelaal Shaaban (21398780) |
| dc.date.none.fl_str_mv | 2025-06-23T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/eng2.70211 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Applications_of_Snow_Ablation_Optimizer_for_Sustainable_Dynamic_Dispatch_of_Power_and_Natural_Gas_Assimilating_Multiple_Clean_Energy_Sources/31746244 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Environmental engineering Information and computing sciences Artificial intelligence Machine learning Carbon capture Demand response program Hydrogenation Power-gas nexus Pumped Hydro Energy Storage Snow ablation optimizer |
| dc.title.none.fl_str_mv | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This paper proposes a snow ablation optimizer (SAO) for the dynamic dispatch of power and natural gas assimilating solar photovoltaic plants, wind generators, pumped hydro energy storage, and plug‐in electric vehicle parking lots with charging and discharging facilities considering carbon capture with and without a demand response program. Power‐to‐gas technology consists of a carbon capture unit, an electrolyzer, a hydrogen storage unit, and a methanation process, which is used to supply the natural gas demand using CO<sub>2</sub> acquired from thermal generating units and hydrogen generated by the electrolyzer. The SAO is a physics‐based technique that imitates the sublimation and melting behavior of snow. The SAO comprehends a trade‐off between exploitation and exploration in the solution space and avoids early convergence. The numerical results obtained from the suggested SAO are matched with the results obtained from the self‐organizing hierarchical‐particle‐swarm‐optimizer with time‐varying acceleration coefficients and differential evolution. The obtained results showed that SAO's minimum cost is less than that of HPSO‐TVAC and DE in both Cases 1 and 2. In comparison to DE and HPSO‐TVAC, SAO converges more quickly. The best minimum cost is reached by SAO before 150 iterations; however, HPSO‐TVAC and DE require more than 150 iterations. From the numerical results, it is perceived that the minimum price acquired with the demand response program is less than that without it.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Engineering Reports<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/10.1002/eng2.70211" target="_blank">https://dx.doi.org/10.1002/eng2.70211</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ab6b8c63d3f02018a0b1a6865e2a522b |
| identifier_str_mv | 10.1002/eng2.70211 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/31746244 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy SourcesSubhamay Basu (16323394)Mousumi Basu (4803894)Chitralekha Jena (17678178)Mario Elzein (22173232)Wulfran Fendzi Mbasso (19712167)Mohamed Metwally Mahmoud (15213516)Alfian Ma'arif (23544658)Khaled A. Metwally (19852284)Salma Abdelaal Shaaban (21398780)EngineeringElectrical engineeringEnvironmental engineeringInformation and computing sciencesArtificial intelligenceMachine learningCarbon captureDemand response programHydrogenationPower-gas nexusPumped Hydro Energy StorageSnow ablation optimizer<p dir="ltr">This paper proposes a snow ablation optimizer (SAO) for the dynamic dispatch of power and natural gas assimilating solar photovoltaic plants, wind generators, pumped hydro energy storage, and plug‐in electric vehicle parking lots with charging and discharging facilities considering carbon capture with and without a demand response program. Power‐to‐gas technology consists of a carbon capture unit, an electrolyzer, a hydrogen storage unit, and a methanation process, which is used to supply the natural gas demand using CO<sub>2</sub> acquired from thermal generating units and hydrogen generated by the electrolyzer. The SAO is a physics‐based technique that imitates the sublimation and melting behavior of snow. The SAO comprehends a trade‐off between exploitation and exploration in the solution space and avoids early convergence. The numerical results obtained from the suggested SAO are matched with the results obtained from the self‐organizing hierarchical‐particle‐swarm‐optimizer with time‐varying acceleration coefficients and differential evolution. The obtained results showed that SAO's minimum cost is less than that of HPSO‐TVAC and DE in both Cases 1 and 2. In comparison to DE and HPSO‐TVAC, SAO converges more quickly. The best minimum cost is reached by SAO before 150 iterations; however, HPSO‐TVAC and DE require more than 150 iterations. From the numerical results, it is perceived that the minimum price acquired with the demand response program is less than that without it.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Engineering Reports<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/10.1002/eng2.70211" target="_blank">https://dx.doi.org/10.1002/eng2.70211</a></p>2025-06-23T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/eng2.70211https://figshare.com/articles/journal_contribution/Applications_of_Snow_Ablation_Optimizer_for_Sustainable_Dynamic_Dispatch_of_Power_and_Natural_Gas_Assimilating_Multiple_Clean_Energy_Sources/31746244CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/317462442025-06-23T03:00:00Z |
| spellingShingle | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources Subhamay Basu (16323394) Engineering Electrical engineering Environmental engineering Information and computing sciences Artificial intelligence Machine learning Carbon capture Demand response program Hydrogenation Power-gas nexus Pumped Hydro Energy Storage Snow ablation optimizer |
| status_str | publishedVersion |
| title | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources |
| title_full | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources |
| title_fullStr | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources |
| title_full_unstemmed | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources |
| title_short | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources |
| title_sort | Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources |
| topic | Engineering Electrical engineering Environmental engineering Information and computing sciences Artificial intelligence Machine learning Carbon capture Demand response program Hydrogenation Power-gas nexus Pumped Hydro Energy Storage Snow ablation optimizer |