Proportional control of a chiller-dry cooler-combination: Efficient and robust

• Introduction of a proportional control strategy for dry cooled chillers. • In simulations: 10-15% better seasonal performance than state of the art controls. • In simulations: less than 6% performance gap to model based optimum. • In experiment: increase in EER by 0.5 to 1 compared to state-of-the-art controls. • Accurate model-based control proves difficult to implement even in lab conditions. Energy efficiency improvements play a crucial role in achieving climate protection goals. This applies also to cooling processes (industrial and residential) which account for approximately 15% of electricity consumption in Germany. This study investigates the energy-saving potential of dry-cooled chillers through a simple but robust control approach: the three controllable actuators (compressor, cooling medium pump and dry cooler fan) are controlled proportionally using a single PI controller over the permissible range in order to meet the cooling demand under the specific boundary conditions, treating them as fluid machines with similar behaviors. The impact of this control method is compared to two conventional control strategies on the one hand and an optimal control on the other hand. In the latter case a model-based controller computes those setpoints for the three actuators for each time step under varying operating conditions that minimize total power consumption while meeting load requirements. Evaluation through simulations and experiments at a laboratory test facility reveals that the proposed proportional control strategy achieves up to 14% reduction in seasonal electricity consumption by this simple approach. This is approximately two thirds the savings which a model-based approach that is much more complex and difficult to implement in practice could reach.

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Institutions

Publication Details

Journal
Applied Thermal Engineering
Published
2025-06-03
DOI
https://doi.org/10.1016/j.applthermaleng.2025.127078
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Proportional control of a chiller-dry cooler-combination: Efficient and robust

Björn Nienborg, Matthieu Chaigneau, Timo Hennemann
Applied Thermal Engineering
Building Energy and Comfort Optimization
article

Proportional control of a chiller-dry cooler-combination: Efficient and robust

Björn Nienborg, Matthieu Chaigneau, Timo Hennemann
article en

Abstract

• Introduction of a proportional control strategy for dry cooled chillers. • In simulations: 10-15% better seasonal performance than state of the art controls. • In simulations: less than 6% performance gap to model based optimum. • In experiment: increase in EER by 0.5 to 1 compared to state-of-the-art controls. • Accurate model-based control proves difficult to implement even in lab conditions. Energy efficiency improvements play a crucial role in achieving climate protection goals. This applies also to cooling processes (industrial and residential) which account for approximately 15% of electricity consumption in Germany. This study investigates the energy-saving potential of dry-cooled chillers through a simple but robust control approach: the three controllable actuators (compressor, cooling medium pump and dry cooler fan) are controlled proportionally using a single PI controller over the permissible range in order to meet the cooling demand under the specific boundary conditions, treating them as fluid machines with similar behaviors. The impact of this control method is compared to two conventional control strategies on the one hand and an optimal control on the other hand. In the latter case a model-based controller computes those setpoints for the three actuators for each time step under varying operating conditions that minimize total power consumption while meeting load requirements. Evaluation through simulations and experiments at a laboratory test facility reveals that the proposed proportional control strategy achieves up to 14% reduction in seasonal electricity consumption by this simple approach. This is approximately two thirds the savings which a model-based approach that is much more complex and difficult to implement in practice could reach.

Applied Thermal EngineeringVol. 278
Fraunhofer Institute for Solar Energy Systems (DE)
Bundesministerium für Bildung und Forschung, Bundesministerium für Forschung und Technologie
Affordable and clean energy
Openalex Percentile: Top 88%
Building Energy and Comfort Optimization
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Proportional control of a chiller-dry cooler-combination: Efficient and robust — Björn Nienborg, Matthieu Chaigneau, et al. · Applied Thermal Engineering (2025) | TGRS Research Map | TGRS