Process Design and Modeling of Low-Carbon Energy Systems
This reprint addresses the urgent global challenge of decarbonizing energy systems while ensuring reliability, affordability, and sustainability. Curating 14 interdisciplinary studies, it bridges engineering, economics, and policy to advance renewable integration, carbon market mechanisms, energy st...
Furkejuvvon:
| Materiálatiipa: | Online |
|---|---|
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Fáttát: | |
| Liŋkkat: | ONIX_20250812T110751_9783725841257_340 |
| Fáddágilkorat: |
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| _version_ | 1869523055998402560 |
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| collection | Directory of Open Access Books |
| description | This reprint addresses the urgent global challenge of decarbonizing energy systems while ensuring reliability, affordability, and sustainability. Curating 14 interdisciplinary studies, it bridges engineering, economics, and policy to advance renewable integration, carbon market mechanisms, energy storage, and socio-technical solutions. Key innovations include AI-driven prediction models like the IAO-LSTM for solar forecasting and the VMD-AOA-GRU hybrid model for wind power optimization, alongside robust dispatch frameworks leveraging pumped hydro storage and reinforcement learning. The issue also explores carbon-internalized thermoeconomic models, resilient multi-energy network planning, and nanomaterials such as nanoporous alumina sheets for anti-frosting applications. Contributions emphasize cross-sector integration (electricity–hydrogen–thermal networks), scalable technology deployment, and adaptive policy frameworks to align with sustainability goals. By synthesizing cutting-edge research, this collection provides actionable insights for policymakers, industry stakeholders, and researchers, highlighting pathways to overcome technical, economic, and regulatory barriers in the energy transition. Future directions call for deeper system coupling, industrial scalability of lab innovations, and equitable policy design to accelerate global decarbonization efforts. |
| format | Online |
| id | doab-20.500.12854ir-165585 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1655852025-08-12T09:57:29Z Process Design and Modeling of Low-Carbon Energy Systems Wu, Chenyu Yi, Zhongkai Lin, Chenhui integrated energy system wind power reinforcement learning stochastic optimization resilient planning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities This reprint addresses the urgent global challenge of decarbonizing energy systems while ensuring reliability, affordability, and sustainability. Curating 14 interdisciplinary studies, it bridges engineering, economics, and policy to advance renewable integration, carbon market mechanisms, energy storage, and socio-technical solutions. Key innovations include AI-driven prediction models like the IAO-LSTM for solar forecasting and the VMD-AOA-GRU hybrid model for wind power optimization, alongside robust dispatch frameworks leveraging pumped hydro storage and reinforcement learning. The issue also explores carbon-internalized thermoeconomic models, resilient multi-energy network planning, and nanomaterials such as nanoporous alumina sheets for anti-frosting applications. Contributions emphasize cross-sector integration (electricity–hydrogen–thermal networks), scalable technology deployment, and adaptive policy frameworks to align with sustainability goals. By synthesizing cutting-edge research, this collection provides actionable insights for policymakers, industry stakeholders, and researchers, highlighting pathways to overcome technical, economic, and regulatory barriers in the energy transition. Future directions call for deeper system coupling, industrial scalability of lab innovations, and equitable policy design to accelerate global decarbonization efforts. 2025-08-12T09:57:27Z 2025-08-12T09:57:27Z 2025 book ONIX_20250812T110751_9783725841257_340 9783725841257 9783725841264 https://directory.doabooks.org/handle/20.500.12854/165585 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10976 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4126-4 10.3390/books978-3-7258-4126-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725841257 9783725841264 270 open access |
| spellingShingle | integrated energy system wind power reinforcement learning stochastic optimization resilient planning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities Process Design and Modeling of Low-Carbon Energy Systems |
| title | Process Design and Modeling of Low-Carbon Energy Systems |
| title_full | Process Design and Modeling of Low-Carbon Energy Systems |
| title_fullStr | Process Design and Modeling of Low-Carbon Energy Systems |
| title_full_unstemmed | Process Design and Modeling of Low-Carbon Energy Systems |
| title_short | Process Design and Modeling of Low-Carbon Energy Systems |
| title_sort | process design and modeling of low carbon energy systems |
| topic | integrated energy system wind power reinforcement learning stochastic optimization resilient planning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| topic_facet | integrated energy system wind power reinforcement learning stochastic optimization resilient planning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| url | ONIX_20250812T110751_9783725841257_340 |