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Article

Improved Solar Operation Control for a Solar Cooling System of an IT Center

Institut für Energietechnik, Technische Universität Berlin, Marchstraße 18, 10587 Berlin, Germany
Appl. Sci. 2020, 10(10), 3354; https://doi.org/10.3390/app10103354
Received: 7 April 2020 / Revised: 8 May 2020 / Accepted: 10 May 2020 / Published: 12 May 2020
(This article belongs to the Special Issue Solar Cooling Systems)
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 H 2 O / LiBr 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. View Full-Text
Keywords: solar fraction; minimum driving temperature; model predictive control; absorption chiller; dry cooler; characteristic equation method solar fraction; minimum driving temperature; model predictive control; absorption chiller; dry cooler; characteristic equation method
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MDPI and ACS Style

Albers, J. Improved Solar Operation Control for a Solar Cooling System of an IT Center. Appl. Sci. 2020, 10, 3354. https://doi.org/10.3390/app10103354

AMA Style

Albers J. Improved Solar Operation Control for a Solar Cooling System of an IT Center. Applied Sciences. 2020; 10(10):3354. https://doi.org/10.3390/app10103354

Chicago/Turabian Style

Albers, Jan. 2020. "Improved Solar Operation Control for a Solar Cooling System of an IT Center" Applied Sciences 10, no. 10: 3354. https://doi.org/10.3390/app10103354

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