Design of a low-cost wireless emission monitoring system for solid-fuel heat sources

M. Holubčík; Jozef Jandačka; M. Nicolanská

doi:10.4108/ew.v9i39.1369

Authors

M. Holubčík University of Žilina
Jozef Jandačka University of Žilina
M. Nicolanská University of Žilina

DOI:

https://doi.org/10.4108/ew.v9i39.1369

Keywords:

wireless sensor network, emission monitoring system, prototyping, graphical interface, Arduino

Abstract

INTRODUCTION: The study presents a conceptual and detailed design methodology overview of a wireless sensor network (WSN) aimed to evaluate the SmartCity air quality in real-time. The aim of the article is to provide low-cost, reliable, and accurate emission data at remote locations, assisting the 2050 Climate-Neutral target set by the European Commission. The sensor devices shall monitor emission parameters such as ozone, carbon dioxide concentration and particle concentrations, specifically concentrations PM2,5 and PM10.
OBJECTIVES: The overall objective of the article is to demonstrate the use of a modern home-made air quality device within the market of boilers, fireplaces or other heating devices.
METHODS: The methodology consists of reverse engineering of used professional portable emission analyzers, determining the detailed parts, building a model of how the device's internal systems operate. The paper later explains a series of future experiments including the setup, the necessary components and specific aim. Two numerical models shall be constructed in MATLAB Simscape and Simulink, specifically a telecommunication model, assisting the design of the telecommunication module, and thermal numerical model, that aids in verifying the system temperature and cooling.
RESULTS: The study presents a large potential in increasing the accuracy and spectrum of modern air quality data and decreasing emission levels.
CONCLUSION: In the conclusion of the paper, the functional requirements of the data processing are stated, along with schematic illustration of the user interface of measured emissions.

Downloads

References

[1] Chao Wang et al. “Economic and environmental impactsof energy efficiency over smart cities and regulatorymeasures using a smart technological solution”. In:Sustainable Energy Technologies and Assessments 47(2021), p. 101422. issn: 2213-1388. doi:https://doi.org/10.1016/j. seta.2021.101422. url:https://www.sciencedirect.com/science/article/pii/S221313882100432X

[2] European Commission. 2030 Climate Target Plan. 2021.url: https:// ec.europa.eu/clima/policies/eu-climate-action/2030_ctp_en

[3] European Commission. 2050 long-term strategy. 2021.url: https://ec. europa.eu/clima/policies/strategies/2050_en

[4] J. Szemsová and I. Ďuricová. ́Udaje O Emisiách ZVykurovania Rodinných Domov. [online] SHMU. 2018.url: http://www.shmu.sk/en/?page=2049&id=955.

[5] Vladimír Višňovský. Revízia kotla. Koľko vám môžeušetriť? 2020. url:www.innogyporadenstvo.sk/blog/bezpecnost/revizia

[6] European Commission. Ecodesign and energy labelling -Boilers - Solid fuel boilers. 2021. url:https://ec.europa.eu/growth/single-market/european-standards/harmonised-standards/ecodesign-and-energy-labelling-boilers-solid-fuel-boilers_sk

[7] V. Stupavský. Smernice O Ekodesignu Pro Kotle A KamnaNa Tuha Paliva 2022. url : https://vytapeni.tzb-info.cz/kotlikove-dotace/11937-smernice-o-ekodesignu-pro-kotle-a-kamna-na-tuha-paliva

[8] Dejan. DIY air quality monitor PM2.5, co2, voc, ozone,temp and hum arduino meter. 2020. url:https://howtomechatronics.com/projects/diy-air-quality-monitor-pm2-5-co2-voc-ozone-temp-hum-arduino-meter/

[9] Raj Vikram. et al. EEFFL: energy efficient dataforwarding for forest re detection using localizationtechnique in wireless sensor network". In: WirelessNetworks 26 (June 2020), pp. 5177-5205.

[10] Sangeeth Kumar. et al. Reliable network connectivity inwireless sensor networks for remote monitoring oflandslides". In: Wireless Networks 26 (June 2020), pp. 2137-2152.

[11] Tarachand Amgoth Dipak Kumar Sah. A novel efficientclustering protocol for energy harvesting in wireless sensornetworks". In: Wireless Networks 26 (May 2020), pp. 4723-4737.

[12] N. Vlajic and D. Xia. Wireless sensor networks: to clusteror not to cluster?" In: 2006 International Symposium on aWorld of Wireless, Mobile and MultimediaNetworks(WoWMoM'06). 2006, 9 pp. 268. doi: 10.1109/WOWMOM.2006.116.

[13] Zhen Chu, Mingwang Cheng, and Ning Neil Yu. A smartcity is a less polluted city". In: Technological Forecastingand Social Change 172 (2021), p. 121037. issn: 0040-1625.doi: https://doi.org/10.1016/ j.techfore.2021.121037. url:https://www.sciencedirect.com/science/article/pii/S0040162521004698.

[14] SCO - Smart City Observatory. Singapore, Helsinki andZurich triumph in global smart city index. 2021. url:https://www.imd.org/smart-city-observatory/smart-cityindex/.

[15] Yuliya Shatskikh, A Sharapov, and I Byankin. Analysisof Deep Heat Recovery From Flue Gases". In: Journal ofPhysics: Conference Series 891 (Nov. 2017), p. 012188.doi: 10.1088/1742-6596/891/1/012188.

[16] aqicn. The Plantower PMS5003 and PMS7003 Air QualitySensor experiment. 2017. url:https://aqicn.org/sensor/pms5003-7003/ .

[17] Jeff Haydel. Link Budget Calculations and Choosing theCorrect Antenna. 2015. url:https://docslib.org/doc/6072517/link-budget-calculations-and-choosing-the-correct-antenna

[18] Jonathan Oxer. DIY air quality sensor, part 1 { Basic"version. Mar. 2020. url: https://www.superhouse.tv/38- diy-air- quality-sensor-part-1-basic-model/.

[19] Circuits Today. How to Interface GSM Module toArduino-Send and Receive SMS. 2021. url:https://www.circuitstoday.com/interface-gsm-module-with-arduino.