Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method

Anatolijs Borodinecs (), Arturs Palcikovskis, Andris Krumins, Deniss Zajecs and Kristina Lebedeva
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Anatolijs Borodinecs: Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6A, LV-1048 Riga, Latvia
Arturs Palcikovskis: Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6A, LV-1048 Riga, Latvia
Andris Krumins: Lafivents Ltd., K. Ulmana Gatve 1B, LV-1004 Riga, Latvia
Deniss Zajecs: Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6A, LV-1048 Riga, Latvia
Kristina Lebedeva: Department of Heat Engineering and Technology, Riga Technical University, Kipsalas Street 6A, LV-1048 Riga, Latvia

Clean Technol., 2024, vol. 6, issue 2, 1-12

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 building performance simulation 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. The findings indicate that by analyzing measured data and adjusting the configurable parameters, the energy consumption of buildings can be significantly reduced. The close monitoring of indoor parameters by building operators and making corresponding adjustments to the HVAC system can yield energy savings of up to 16%. Leveraging these insights, this 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 (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2024
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