An Analytical Model for the Impact of Building Control and Automation Upgrade on Space Heating Energy Efficiency

Intelligent building management systems are proven to lead to energy savings and are an integral component of smart buildings. The procedures developed in the EN standards describe the methodology for calculating the energy savings achieved by improving the automation and control levels of separate...

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Bibliographic Details
Published in:Buildings (Basel) 2022-08, Vol.12 (8), p.1074
Main Authors: Morkunaite, Lina, Pupeikis, Darius, Jurelionis, Andrius, Fokaides, Paris A., Papadopoulos, Agis
Format: Article
Language:English
Subjects:
Automation
Building automation
Building control
Building management systems
Cost control
Energy conservation
Energy efficiency
energy saving
Energy storage
Green buildings
Heat
Heating
Heating systems
life cycle costing
Mathematical models
Simulation
smart building
Smart buildings
Space heating
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Summary:Intelligent building management systems are proven to lead to energy savings and are an integral component of smart buildings. The procedures developed in the EN standards describe the methodology for calculating the energy savings achieved by improving the automation and control levels of separate services in building systems. However, although this method is used in practice, it is rarely applied or investigated by the research community. Typically, energy savings resulting from a single automation improvement intervention in a building heating system are observed, while the holistic view of combined automation upgrades is not considered. Therefore, the purpose of this study was to assess the energy savings resulting from several upgrades to control levels in the heating system components of the building. In addition, this research provides a rationale for the impact of multiple automation and control options for heating systems as well as examines the difference in energy savings. Finally, an analytical model is developed and demonstrated to assess the feasibility of building automation and control upgrades, by determining the allowed investment according to a set of predefined indicators.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings12081074