| Issue |
MATEC Web Conf.
Volume 412, 2025
42nd. Annual Conference “Meeting of the Departments of Fluid Mechanics and Thermomechanics” in the connection with XXIV. International Scientific Conference “The Application of Experimental and Numerical Methods in Fluid Mechanics and Energy” (42nd. MDFMT & XXIV. AENMMTE-2025)
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| Article Number | 01006 | |
| Number of page(s) | 12 | |
| Section | Measurement and Calculation of State Variables in the Fluid Flow | |
| DOI | https://doi.org/10.1051/matecconf/202541201006 | |
| Published online | 05 September 2025 | |
Smart Design of Frequency-Controlled Small Heat Devices with Low-Cost Sensors for Enhanced Efficiency and Emissions Reduction
Department of Power Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26, Žilina, Slovakia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This article presents an intelligent design approach for frequency-controlled small-scale heating systems, incorporating low-cost sensors to enhance efficiency and reduce emissions. It begins with a literature review focusing on the use of modern sensors and frequency control technologies for regulating fan and fuel speeds. As part of the review, a basic outline of neural networks applied in biomass combustion systems is also provided, highlighting their potential for optimizing combustion and emission control through adaptive, data-driven strategies. The proposed smart control system is built around dual Raspberry Pi units, supported by Arduino Uno R3 and Arduino Nano microcontrollers, chosen for their compatibility with available sensor libraries. The frequency control consists of two IVT 0,75kW converters. The system integrates a range of low-cost environmental sensors from DFRobot, including the SCD41 CO₂ sensor, an electrochemical oxygen sensor, an ozone sensor, the ENS160+BME280 environmental sensor (measuring air quality, temperature, humidity, and pressure), a separate temperature and humidity sensor, and a laser-based particulate matter (PM) sensor for total suspended particles (TSP).The fan and pellet feeder are driven by frequency inverters connected via an FT232RL USB to RS485 adapter, allowing precise real- time control based on sensor feedback. The article presents detailed hardware and software requirements, followed by a step-by-step methodology for constructing and testing the system. Special emphasis is placed on the integration of these components into an experimental boiler setup, demonstrating how intelligent regulation can be practically implemented in low-cost biomass heating applications to improve combustion efficiency and reduce harmful emission.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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