Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells
This paper discusses the performance improvement of a green building by optimization procedures and the influences of load characteristics on optimization. The green building is equipped with a self-sustained hybrid power system consisting of solar cells, wind turbines, batteries, proton exchange me...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/12/1/57 |
| _version_ | 1798006481827659776 |
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| author | Fu-Cheng Wang Kuang-Ming Lin |
| author_facet | Fu-Cheng Wang Kuang-Ming Lin |
| author_sort | Fu-Cheng Wang |
| collection | DOAJ |
| description | This paper discusses the performance improvement of a green building by optimization procedures and the influences of load characteristics on optimization. The green building is equipped with a self-sustained hybrid power system consisting of solar cells, wind turbines, batteries, proton exchange membrane fuel cell (PEMFC), electrolyzer, and power electronic devices. We develop a simulation model using the Matlab/SimPowerSystemTM and tune the model parameters based on experimental responses, so that we can predict and analyze system responses without conducting extensive experiments. Three performance indexes are then defined to optimize the design of the hybrid system for three typical load profiles: the household, the laboratory, and the office loads. The results indicate that the total system cost was reduced by 38.9%, 40% and 28.6% for the household, laboratory and office loads, respectively, while the system reliability was improved by 4.89%, 24.42% and 5.08%. That is, the component sizes and power management strategies could greatly improve system cost and reliability, while the performance improvement can be greatly influenced by the characteristics of the load profiles. A safety index is applied to evaluate the sustainability of the hybrid power system under extreme weather conditions. We further discuss two methods for improving the system safety: the use of sub-optimal settings or the additional chemical hydride. Adding 20 kg of NaBH4 can provide 63 kWh and increase system safety by 3.33, 2.10, and 2.90 days for the household, laboratory and office loads, respectively. In future, the proposed method can be applied to explore the potential benefits when constructing customized hybrid power systems. |
| first_indexed | 2024-04-11T12:55:35Z |
| format | Article |
| id | doaj.art-defde76a11e34e97b6ba7ee65ec8867a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:55:35Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-defde76a11e34e97b6ba7ee65ec8867a2022-12-22T04:23:05ZengMDPI AGEnergies1996-10732018-12-011215710.3390/en12010057en12010057Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel CellsFu-Cheng Wang0Kuang-Ming Lin1Department of Mechanical Engineering, National Taiwan University, Taipei 10617, TaiwanDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, TaiwanThis paper discusses the performance improvement of a green building by optimization procedures and the influences of load characteristics on optimization. The green building is equipped with a self-sustained hybrid power system consisting of solar cells, wind turbines, batteries, proton exchange membrane fuel cell (PEMFC), electrolyzer, and power electronic devices. We develop a simulation model using the Matlab/SimPowerSystemTM and tune the model parameters based on experimental responses, so that we can predict and analyze system responses without conducting extensive experiments. Three performance indexes are then defined to optimize the design of the hybrid system for three typical load profiles: the household, the laboratory, and the office loads. The results indicate that the total system cost was reduced by 38.9%, 40% and 28.6% for the household, laboratory and office loads, respectively, while the system reliability was improved by 4.89%, 24.42% and 5.08%. That is, the component sizes and power management strategies could greatly improve system cost and reliability, while the performance improvement can be greatly influenced by the characteristics of the load profiles. A safety index is applied to evaluate the sustainability of the hybrid power system under extreme weather conditions. We further discuss two methods for improving the system safety: the use of sub-optimal settings or the additional chemical hydride. Adding 20 kg of NaBH4 can provide 63 kWh and increase system safety by 3.33, 2.10, and 2.90 days for the household, laboratory and office loads, respectively. In future, the proposed method can be applied to explore the potential benefits when constructing customized hybrid power systems.http://www.mdpi.com/1996-1073/12/1/57hybrid power systemfuel cellsolarwindfuel celloptimizationcostreliability |
| spellingShingle | Fu-Cheng Wang Kuang-Ming Lin Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells Energies hybrid power system fuel cell solar wind fuel cell optimization cost reliability |
| title | Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells |
| title_full | Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells |
| title_fullStr | Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells |
| title_full_unstemmed | Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells |
| title_short | Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells |
| title_sort | impacts of load profiles on the optimization of power management of a green building employing fuel cells |
| topic | hybrid power system fuel cell solar wind fuel cell optimization cost reliability |
| url | http://www.mdpi.com/1996-1073/12/1/57 |
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