| Title |
The hybrid model optimization of the chiller infrastructure and its preliminary experimental results / |
| Authors |
Petrauskas, Rytis ; Urniezius, Renaldas ; Mickevicius, Karolis ; Kristutis, Ignas ; Obolevicius, Paulius |
| DOI |
10.15388/DAMSS.15.2024 |
| eISBN |
9786090711125 |
| Full Text |
|
| Is Part of |
DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024.. Vilnius : Vilniaus universiteto leidykla, 2024. p. 110.. eISBN 9786090711125 |
| Abstract [eng] |
The control of compressor speed in refrigeration systems is vital for optimizing energy consumption and enhancing HVAC performance. By dynamically adjusting the compressor motor speed, operations can align with current cooling demands, leading to significant energy savings and improved system efficiency. Effective speed control results in stable temperature regulation and reduced noise levels while extending equipment lifespan and lowering maintenance costs. Conducted in spring 2024 at Kaunas University of Technology, this research explores various types of compressors and their control algorithms. The primary goal is to develop a control algorithm for a laboratory cooling system’s compressor to boost efficiency. Tests evaluated compressor performance at predefined constant speeds, revealing a clear correlation between speed, refrigerated space temperature, and compressor efficiency. The implementation of this control algorithm resulted in energy consumption reductions of 15% to 40% and efficiency improvements of 8% to 20% compared to fixed-speed operations. Additionally, cooling times improved by 11% to 79%, comparing the worst and best fixed-speed results within the studied temperature ranges. The team foresees that the outcome of this study will lead to novel renewable energy infrastructure solutions in the heat pump solutions and their future standardization, improving Heat Pump Keymark certifications’ impact. |
| Published |
Vilnius : Vilniaus universiteto leidykla, 2024 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
