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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1434112
This article is part of the Research Topic Modeling and Application of Computational Intelligence in Sustainable Energy Systems View all 4 articles

Design of the control and remote monitoring energy system based on an embedded biomass boiler

Provisionally accepted
Cheng Ye Cheng Ye 1Wei Xu Wei Xu 2Yongcheng Jiang Yongcheng Jiang 1*Zhimin Mu Zhimin Mu 1Zhongxu Cui Zhongxu Cui 1Hongyu Wu Hongyu Wu 1Shuai Liu Shuai Liu 1
  • 1 College of Engineering and Technology, Tianjin Agricultural University, Tianjin, China
  • 2 College of Humanities, Tianjin Agricultural University, Tianjin, China

The final, formatted version of the article will be published soon.

    Traditional biomass boiler operations predominantly rely on manual control, with adjustments made based on operator experience. This approach not only demands considerable manpower but also leads to suboptimal resource utilization. Addressing the specific operational dynamics of biomass boilers, this study introduces a controller designed around the STM32 microcontroller. This device employs a modular architecture and incorporates cost-effective chips and peripheral components. To enhance energy efficiency and the overall user experience, the controller utilizes PWM pulse modulation alongside a fuzzy PID control strategy. Capable of toggling between manual and automatic modes for local operations, it also supports data logging directly on the device or in the cloud. Tailored to meet diverse user requirements, the controller facilitates remote monitoring and management. It employs a strategic control mechanism for various motors, ensuring precise hot water temperature measurements within the boiler and enabling data uploads to cloud platforms. This not only conserves energy and reduces labor costs but also promotes environmental sustainability and operational efficiency. Through ongoing refinement and rigorous testing, the controller has achieved a level of maturity that underscores its readiness for widespread implementation.

    Keywords: Biomass boiler, Single-chip microcomputer, Intelligent, cost, energy efficiency 1

    Received: 17 May 2024; Accepted: 03 Jul 2024.

    Copyright: © 2024 Ye, Xu, Jiang, Mu, Cui, Wu and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yongcheng Jiang, College of Engineering and Technology, Tianjin Agricultural University, Tianjin, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.