Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm
The growth of electricity consumption and demand for higher quality of electricity have directed the electricity industry towards using new technologies. The rising trend of privatization, competitive nature of the electricity market and transformation of large investors into smaller ones have motiv...
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| Language: | English |
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Bilijipub publisher
2022-12-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| Online Access: | https://aeis.bilijipub.com/article_163959_3675a8ca163e972bbd4f76d313896e33.pdf |
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| author | Hanlie Cheng |
| author_facet | Hanlie Cheng |
| author_sort | Hanlie Cheng |
| collection | DOAJ |
| description | The growth of electricity consumption and demand for higher quality of electricity have directed the electricity industry towards using new technologies. The rising trend of privatization, competitive nature of the electricity market and transformation of large investors into smaller ones have motivated electricity industry managers to pay more attention to increasing the generated power and grid equipment with maximum energy efficiency and minimum operation costs. Simultaneous use of different infrastructures for energy transfer and generation has led to the concept of energy hubs. Herein, a novel method is proposed to bridge the research gap in simultaneous optimization of solar system capacity and household energy hub operation. The proposed method is implemented on a household energy hub including controllable and uncontrollable loads, combined heat and power unit (CHP), grid-connected hybrid electric vehicles (EVs), heating loads and solar system. Studies were conducted in different conditions to compare the proposed method with the existing methods of optimal operation of household energy hubs and the simultaneous optimization of planning and operation problems with an emphasis on the solar system to highlight the benefits of the proposed method. The results indicate the efficiency of the proposed method in reducing operating costs and increasing the efficiency of the household energy hub while maintaining the user comfort level at the highest level. |
| format | Article |
| id | doaj-art-c0c2314b67544583ac49be58d4716c19 |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Bilijipub publisher |
| record_format | Article |
| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-c0c2314b67544583ac49be58d4716c192025-02-12T08:46:40ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632022-12-0100104143010.22034/aeis.2022.366739.1045163959Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based AlgorithmHanlie Cheng0School of Energy Resource, China University of Geosciences (Beijing), Beijing, 434000, ChinaThe growth of electricity consumption and demand for higher quality of electricity have directed the electricity industry towards using new technologies. The rising trend of privatization, competitive nature of the electricity market and transformation of large investors into smaller ones have motivated electricity industry managers to pay more attention to increasing the generated power and grid equipment with maximum energy efficiency and minimum operation costs. Simultaneous use of different infrastructures for energy transfer and generation has led to the concept of energy hubs. Herein, a novel method is proposed to bridge the research gap in simultaneous optimization of solar system capacity and household energy hub operation. The proposed method is implemented on a household energy hub including controllable and uncontrollable loads, combined heat and power unit (CHP), grid-connected hybrid electric vehicles (EVs), heating loads and solar system. Studies were conducted in different conditions to compare the proposed method with the existing methods of optimal operation of household energy hubs and the simultaneous optimization of planning and operation problems with an emphasis on the solar system to highlight the benefits of the proposed method. The results indicate the efficiency of the proposed method in reducing operating costs and increasing the efficiency of the household energy hub while maintaining the user comfort level at the highest level.https://aeis.bilijipub.com/article_163959_3675a8ca163e972bbd4f76d313896e33.pdfenergy managementoptimal operationdispersed generation solar generatorshousehold energy hubsoptimal capacity of renewable energy sources |
| spellingShingle | Hanlie Cheng Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm Advances in Engineering and Intelligence Systems energy management optimal operation dispersed generation solar generators household energy hubs optimal capacity of renewable energy sources |
| title | Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm |
| title_full | Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm |
| title_fullStr | Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm |
| title_full_unstemmed | Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm |
| title_short | Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm |
| title_sort | cost based modeling for optimal energy management of smart buildings with renewable energy resources and electric vehicles using a scenario based algorithm |
| topic | energy management optimal operation dispersed generation solar generators household energy hubs optimal capacity of renewable energy sources |
| url | https://aeis.bilijipub.com/article_163959_3675a8ca163e972bbd4f76d313896e33.pdf |
| work_keys_str_mv | AT hanliecheng costbasedmodelingforoptimalenergymanagementofsmartbuildingswithrenewableenergyresourcesandelectricvehiclesusingascenariobasedalgorithm |