Pressurized Water Temperature Control of a Fresnel Collector Field-Type Solar Cooling System using Explicit Model Predictive Control

2013 ◽  
Author(s):  
Kritchai Witheephanich ◽  
Juan Manuel Escaño ◽  
Antonio J. Gallego ◽  
Eduardo F. Camacho
Keyword(s):  
Model Predictive Control ◽  
Water Temperature ◽  
Predictive Control ◽  
Temperature Control ◽  
Cooling System ◽  
Explicit Model ◽  
Pressurized Water ◽  
Solar Cooling ◽  
Explicit Model Predictive Control ◽  
Solar Cooling System

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

2020 ◽  
Vol 10 (10) ◽  
pp. 3354 ◽  
Author(s):  
Jan Albers
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Algorithm ◽  
Cooling System ◽  
Negative Impact ◽  
Cooling Water ◽  
Electricity Demand ◽  
Solar Cooling ◽  
Model Predictive Control Algorithm ◽  
Solar Cooling System

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.

scholarly journals Regionless Explicit Model Predictive Control of Active Suspension Systems With Preview

2020 ◽  
Vol 67 (6) ◽  
pp. 4877-4888 ◽  
Author(s):  
Johan Theunissen ◽  
Aldo Sorniotti ◽  
Patrick Gruber ◽  
Saber Fallah ◽  
Marco Ricco ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Active Suspension ◽  
Explicit Model ◽  
Suspension Systems ◽  
Active Suspension Systems ◽  
Explicit Model Predictive Control
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