EconPapers    
Economics at your fingertips  
 

The Architecture of a Real-Time Control System for Heating Energy Management in the Intelligent Building

Daniel Prusak, Grzegorz Karpiel and Konrad Kułakowski
Additional contact information
Daniel Prusak: Department of Robotics and Mechatronics, AGH University of Science and Technology, 30-059 Kraków, Poland
Grzegorz Karpiel: Department of Robotics and Mechatronics, AGH University of Science and Technology, 30-059 Kraków, Poland
Konrad Kułakowski: RIOT Sp. z o.o., 30-611 Kraków, Poland

Energies, 2021, vol. 14, issue 17, 1-13

Abstract: Very often, constructors and designers of intelligent building and building automation systems have a choice: to create a compact system with a limited configuration and modifying the system’s behavior possibilities or provide a fully configurable solution at the expense of introducing a full SCADA system equipped with an additional knowledge database and inference system equipped with learning capabilities. In the presented work, we show that there is a third solution. Using a multilayer control system composed of programmable FPGAs, small PCs, and cloud computing resources, we can design and implement a fully configurable intelligent control system for the building’s heating. Our solution combines the compactness of the structure and the ease of installation and assembly.

Keywords: intelligent building; intelligent heating control; FPGA; HVAC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/17/5402/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/17/5402/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:17:p:5402-:d:625556

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5402-:d:625556