Improved Solar Operation Control for a Solar Cooling System of an IT Center
In this contribution, a model predictive control algorithm is developed, which allows an increase of the solar operating hours of a solar cooling system without a negative impact on the auxiliary electricity demand, e.g., for heat rejection in a dry cooler. An improved method of the characteristic e...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/10/3354 |
| _version_ | 1827717051103313920 |
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| author | Jan Albers |
| author_facet | Jan Albers |
| author_sort | Jan Albers |
| collection | DOAJ |
| description | In this contribution, a model predictive control algorithm is developed, which allows an increase of the solar operating hours of a solar cooling system without a negative impact on the auxiliary electricity demand, e.g., for heat rejection in a dry cooler. An improved method of the characteristic equations for single-effect <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi mathvariant="normal">H</mi> <mn>2</mn> </msub> <mi mathvariant="normal">O</mi> <mo>/</mo> <mi>LiBr</mi> </mrow> </semantics> </math> </inline-formula> absorption chillers is used in combination with a simple dry-cooler model to describe the part load behavior of both components. The aim of the control strategy is to find a cut-in and a cut-off condition for the solar heat operation (SHO) of an absorption chiller cooling assembly (i.e., including all the supply pumps and the dry cooler) under the constraint that the specific electricity demand during SHO is lower than the electricity demand of a reference cooling technology (e.g., a compression chiller cooling assembly). Especially for the cut-in condition, the model predictive control algorithm calculates a minimum driving temperature, which has to be reached by the solar collector and storage in order to cover the cooling load with a low cooling water temperature but restricted auxiliary electricity demand. Measurements at a solar cooling system for an IT center were used for the testing and a first evaluation of the control algorithm. |
| first_indexed | 2024-03-10T19:53:21Z |
| format | Article |
| id | doaj.art-3a670299a00d490bbd7979d4241b78d2 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:53:21Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3a670299a00d490bbd7979d4241b78d22023-11-20T00:10:21ZengMDPI AGApplied Sciences2076-34172020-05-011010335410.3390/app10103354Improved Solar Operation Control for a Solar Cooling System of an IT CenterJan Albers0Institut für Energietechnik, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, GermanyIn this contribution, a model predictive control algorithm is developed, which allows an increase of the solar operating hours of a solar cooling system without a negative impact on the auxiliary electricity demand, e.g., for heat rejection in a dry cooler. An improved method of the characteristic equations for single-effect <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi mathvariant="normal">H</mi> <mn>2</mn> </msub> <mi mathvariant="normal">O</mi> <mo>/</mo> <mi>LiBr</mi> </mrow> </semantics> </math> </inline-formula> absorption chillers is used in combination with a simple dry-cooler model to describe the part load behavior of both components. The aim of the control strategy is to find a cut-in and a cut-off condition for the solar heat operation (SHO) of an absorption chiller cooling assembly (i.e., including all the supply pumps and the dry cooler) under the constraint that the specific electricity demand during SHO is lower than the electricity demand of a reference cooling technology (e.g., a compression chiller cooling assembly). Especially for the cut-in condition, the model predictive control algorithm calculates a minimum driving temperature, which has to be reached by the solar collector and storage in order to cover the cooling load with a low cooling water temperature but restricted auxiliary electricity demand. Measurements at a solar cooling system for an IT center were used for the testing and a first evaluation of the control algorithm.https://www.mdpi.com/2076-3417/10/10/3354solar fractionminimum driving temperaturemodel predictive controlabsorption chillerdry coolercharacteristic equation method |
| spellingShingle | Jan Albers Improved Solar Operation Control for a Solar Cooling System of an IT Center Applied Sciences solar fraction minimum driving temperature model predictive control absorption chiller dry cooler characteristic equation method |
| title | Improved Solar Operation Control for a Solar Cooling System of an IT Center |
| title_full | Improved Solar Operation Control for a Solar Cooling System of an IT Center |
| title_fullStr | Improved Solar Operation Control for a Solar Cooling System of an IT Center |
| title_full_unstemmed | Improved Solar Operation Control for a Solar Cooling System of an IT Center |
| title_short | Improved Solar Operation Control for a Solar Cooling System of an IT Center |
| title_sort | improved solar operation control for a solar cooling system of an it center |
| topic | solar fraction minimum driving temperature model predictive control absorption chiller dry cooler characteristic equation method |
| url | https://www.mdpi.com/2076-3417/10/10/3354 |
| work_keys_str_mv | AT janalbers improvedsolaroperationcontrolforasolarcoolingsystemofanitcenter |