Control strategies for HVAC systems

Kardos, Tamás; Kutasi, Dénes Nimród; György, Katalin

doi:10.1109/cinti-macro49179.2019.9105198

Cited by 2 publications

(1 citation statement)

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“…There are many challenges regarding the architecture of a test environment for the evaluation of various HVAC control algorithms [6,7] that go beyond computer simulation [8,9]. Despite the fact that full repeatability can be provided only in simulations, at this moment they cannot totally mimic the behavior of a physical building.…”

Section: Introductionmentioning

confidence: 99%

The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors

Markiewicz,

Skała,

Grela

et al. 2023

Energies

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The energy consumption of buildings is a significant contributor to overall energy consumption in developed countries. Therefore, there is great demand for intelligent buildings in which energy consumption is optimized. Online control is a crucial aspect of such optimization. The implementation of modern algorithms that take advantage of developments in information technology, artificial intelligence, machine learning, sensors, and the Internet of Things (IoT) is used in this context. In this paper, an architecture for testing central heating control algorithms as well as the control algorithms of the heating system of the building is presented. In particular, evaluation metrics, the method for seamless integration, and the mechanism for real-time performance monitoring and control are put forward. The proposed tools have been successfully tested in a residential building, and the conducted tests confirmed the efficiency of the proposed solution.

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