A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration
Due to ineffective coordination, energy communities integrating wind turbines (WTs) and photovoltaic/ photothermal (PV/PT) systems often fail to fully harness local renewable energy sources. To overcome this challenge, this paper proposes a novel smart community (SC) framework that incorporates a fl...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525003230 |
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| author | Yufei Xi Yuguang Song Meng Chen Jiansheng Zhang Lin Cheng Zhe Chen |
| author_facet | Yufei Xi Yuguang Song Meng Chen Jiansheng Zhang Lin Cheng Zhe Chen |
| author_sort | Yufei Xi |
| collection | DOAJ |
| description | Due to ineffective coordination, energy communities integrating wind turbines (WTs) and photovoltaic/ photothermal (PV/PT) systems often fail to fully harness local renewable energy sources. To overcome this challenge, this paper proposes a novel smart community (SC) framework that incorporates a flexible heating system (HS). The proposed HS facilitates dispatchable solar power generation and responsive heat–electricity demand management by integrating medium-high-temperature photothermal (MHTPT) and ground-source heat pump (GSHP) technologies. Meanwhile, a dual-objective scheduling model is formulated to minimize the operating costs and carbon emissions of the SC system, and its effectiveness is validated through case studies. A hybrid solution architecture combining branch-and-reduce with multi-learning-task is proposed to efficiently solve the mixed-integer nonlinear programming (MINLP) model and generate multiple optimal Pareto solutions. Case studies on different system configurations validate the superior performance of the proposed SC in reducing operating costs and carbon emissions while enhancing local renewable energy integration. Additionally, the impact of varying renewable on-grid tariffs on SC system operations is analyzed. |
| format | Article |
| id | doaj-art-ef67fa53876e4501b9a02d5540f647fa |
| institution | DOAJ |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-ef67fa53876e4501b9a02d5540f647fa2025-08-20T03:21:39ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-08-0116911077510.1016/j.ijepes.2025.110775A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integrationYufei Xi0Yuguang Song1Meng Chen2Jiansheng Zhang3Lin Cheng4Zhe Chen5State Key Laboratory of Power System Operation and Control, Tsinghua University, Beijing, 100084, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing, 100084, ChinaDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK; Corresponding author.Department of Energy and Power Engineering, Tsinghua University, Beijing, 100084, ChinaState Key Laboratory of Power System Operation and Control, Tsinghua University, Beijing, 100084, ChinaAAU Energy, Aalborg University, Aalborg, 9220, DenmarkDue to ineffective coordination, energy communities integrating wind turbines (WTs) and photovoltaic/ photothermal (PV/PT) systems often fail to fully harness local renewable energy sources. To overcome this challenge, this paper proposes a novel smart community (SC) framework that incorporates a flexible heating system (HS). The proposed HS facilitates dispatchable solar power generation and responsive heat–electricity demand management by integrating medium-high-temperature photothermal (MHTPT) and ground-source heat pump (GSHP) technologies. Meanwhile, a dual-objective scheduling model is formulated to minimize the operating costs and carbon emissions of the SC system, and its effectiveness is validated through case studies. A hybrid solution architecture combining branch-and-reduce with multi-learning-task is proposed to efficiently solve the mixed-integer nonlinear programming (MINLP) model and generate multiple optimal Pareto solutions. Case studies on different system configurations validate the superior performance of the proposed SC in reducing operating costs and carbon emissions while enhancing local renewable energy integration. Additionally, the impact of varying renewable on-grid tariffs on SC system operations is analyzed.http://www.sciencedirect.com/science/article/pii/S0142061525003230Smart communityFlexible heating systemMedium-high-temperature photothermalDemand responseLoad shapingRenewable energy integration |
| spellingShingle | Yufei Xi Yuguang Song Meng Chen Jiansheng Zhang Lin Cheng Zhe Chen A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration International Journal of Electrical Power & Energy Systems Smart community Flexible heating system Medium-high-temperature photothermal Demand response Load shaping Renewable energy integration |
| title | A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration |
| title_full | A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration |
| title_fullStr | A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration |
| title_full_unstemmed | A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration |
| title_short | A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration |
| title_sort | novel smart community combining a flexible heating system as electrical demand response to enhance local renewable energy integration |
| topic | Smart community Flexible heating system Medium-high-temperature photothermal Demand response Load shaping Renewable energy integration |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525003230 |
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