Bottom-Up Model of Random Daily Electrical Load Curve for Office Building
In the design stage of energy systems in buildings, accurate load boundary conditions are the key to achieving energy supply and demand balance. Compared with the building cold and heat load, the generation of building electrical load has stronger randomness, and the current standard electrical load...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/21/10471 |
| _version_ | 1797512742390726656 |
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| author | Sihan Cheng Zhe Tian Xia Wu Jide Niu |
| author_facet | Sihan Cheng Zhe Tian Xia Wu Jide Niu |
| author_sort | Sihan Cheng |
| collection | DOAJ |
| description | In the design stage of energy systems in buildings, accurate load boundary conditions are the key to achieving energy supply and demand balance. Compared with the building cold and heat load, the generation of building electrical load has stronger randomness, and the current standard electrical load calculation method cannot reflect this feature. Therefore, this paper proposes a bottom-up high time resolution power load generation method for office buildings. Firstly, the non-homogeneous Markov chain is used to establish the random mobility model of personnel in office buildings, and the building electrical appliances are divided into four categories according to the different driving modes of personnel to electrical appliances in office buildings. Then, based on the personnel mobility model, the correlation between the use of electrical appliances in office buildings and the personnel in the room is established to construct the random power simulation model of different types of electrical appliances. Finally, the electric load of different types of electrical appliances is superimposed hourly to generate a random daily load curve. In order to verify the validity of the model, an office building is simulated and compared with the measured electrical load value. The verification results show that the model well reflects the daily distribution characteristics of electric load. The simulation value and the measured value are used for statistical analysis. The evaluation results show that the correlation between the simulation value and the measured value is high, which further illustrates the validity and accuracy of the model. |
| first_indexed | 2024-03-10T06:05:59Z |
| format | Article |
| id | doaj.art-da9a2eb863864eb5b9ba6559ef79d71c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:05:59Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-da9a2eb863864eb5b9ba6559ef79d71c2023-11-22T20:32:41ZengMDPI AGApplied Sciences2076-34172021-11-0111211047110.3390/app112110471Bottom-Up Model of Random Daily Electrical Load Curve for Office BuildingSihan Cheng0Zhe Tian1Xia Wu2Jide Niu3School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaIn the design stage of energy systems in buildings, accurate load boundary conditions are the key to achieving energy supply and demand balance. Compared with the building cold and heat load, the generation of building electrical load has stronger randomness, and the current standard electrical load calculation method cannot reflect this feature. Therefore, this paper proposes a bottom-up high time resolution power load generation method for office buildings. Firstly, the non-homogeneous Markov chain is used to establish the random mobility model of personnel in office buildings, and the building electrical appliances are divided into four categories according to the different driving modes of personnel to electrical appliances in office buildings. Then, based on the personnel mobility model, the correlation between the use of electrical appliances in office buildings and the personnel in the room is established to construct the random power simulation model of different types of electrical appliances. Finally, the electric load of different types of electrical appliances is superimposed hourly to generate a random daily load curve. In order to verify the validity of the model, an office building is simulated and compared with the measured electrical load value. The verification results show that the model well reflects the daily distribution characteristics of electric load. The simulation value and the measured value are used for statistical analysis. The evaluation results show that the correlation between the simulation value and the measured value is high, which further illustrates the validity and accuracy of the model.https://www.mdpi.com/2076-3417/11/21/10471bottom-upelectrical loadMarkov chainMonte Carlo |
| spellingShingle | Sihan Cheng Zhe Tian Xia Wu Jide Niu Bottom-Up Model of Random Daily Electrical Load Curve for Office Building Applied Sciences bottom-up electrical load Markov chain Monte Carlo |
| title | Bottom-Up Model of Random Daily Electrical Load Curve for Office Building |
| title_full | Bottom-Up Model of Random Daily Electrical Load Curve for Office Building |
| title_fullStr | Bottom-Up Model of Random Daily Electrical Load Curve for Office Building |
| title_full_unstemmed | Bottom-Up Model of Random Daily Electrical Load Curve for Office Building |
| title_short | Bottom-Up Model of Random Daily Electrical Load Curve for Office Building |
| title_sort | bottom up model of random daily electrical load curve for office building |
| topic | bottom-up electrical load Markov chain Monte Carlo |
| url | https://www.mdpi.com/2076-3417/11/21/10471 |
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