Version 1
: Received: 20 March 2024 / Approved: 21 March 2024 / Online: 26 March 2024 (02:54:29 CET)
How to cite:
Borodinecs, A.; Palcikovskis, A.; Krumins, A.; Zajecs, D.; Lebedeva, K. Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method. Preprints2024, 2024031305. https://doi.org/10.20944/preprints202403.1305.v1
Borodinecs, A.; Palcikovskis, A.; Krumins, A.; Zajecs, D.; Lebedeva, K. Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method. Preprints 2024, 2024031305. https://doi.org/10.20944/preprints202403.1305.v1
Borodinecs, A.; Palcikovskis, A.; Krumins, A.; Zajecs, D.; Lebedeva, K. Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method. Preprints2024, 2024031305. https://doi.org/10.20944/preprints202403.1305.v1
APA Style
Borodinecs, A., Palcikovskis, A., Krumins, A., Zajecs, D., & Lebedeva, K. (2024). Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method. Preprints. https://doi.org/10.20944/preprints202403.1305.v1
Chicago/Turabian Style
Borodinecs, A., Deniss Zajecs and Kristina Lebedeva. 2024 "Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method" Preprints. https://doi.org/10.20944/preprints202403.1305.v1
Abstract
Enhancing energy efficiency within the building sector is imperative to curbing energy losses, given that this sector alone contributes to over 34% of global energy consumption. Employing a building management system, along with its regular updates, presents a strategic avenue to decrease energy usage, enhance building energy efficiency, and more. Tailored control strategies, aligned with the unique characteristics and usage patterns of each building, are essential for achieving energy savings. This article presents an evaluation of HVAC system efficiency in office buildings, utilizing a data-driven approach coupled with simulations conducted in IDA ICE software. The research explores the control strategy of an office building equipped with a constant air volume HVAC system, featuring a regularly controlled air handling unit. The objective is to boost energy efficiency while striking a balance between occupant comfort and energy consumption. Findings indicate that by analyzing measured data and adjusting configurable parameters, building energy consumption can be significantly reduced. Close monitoring of indoor parameters by building operators and corresponding adjustments to the HVAC system can yield energy savings of up to 16%. Leveraging these insights, the paper suggests integrating data-driven and dynamic simulation methods into building management system models to optimize HVAC systems, enhance energy efficiency, and advance ambitious carbon neutrality objectives.
Keywords
Building management system; HVAC; energy efficiency; energy savings; optimization; data-driven
Subject
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
