Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Automated Carbon Footprint Monitoring Systems for a Smart City

Version 1 : Received: 4 December 2023 / Approved: 4 December 2023 / Online: 4 December 2023 (11:16:17 CET)

How to cite: Kulakova, E.; Muravyova, E. Automated Carbon Footprint Monitoring Systems for a Smart City. Preprints 2023, 2023120191. https://doi.org/10.20944/preprints202312.0191.v1 Kulakova, E.; Muravyova, E. Automated Carbon Footprint Monitoring Systems for a Smart City. Preprints 2023, 2023120191. https://doi.org/10.20944/preprints202312.0191.v1

Abstract

The systems for automated monitoring of a human’s personal carbon footprint and CO2-equivalent emissions at industrial enterprises were developed in the article. The personal carbon footprint monitoring system includes data collection subsystems based on energy consumption metering devices, data storage and transmission, and calculation subsystems. To measure the consumption of water, electricity, thermal energy, IoT control sensors were selected. The calculation of the individual carbon footprint of a person is proposed. The system for automated monitoring of the carbon footprint of an enterprise includes a subsystem of devices for monitoring the use of energy resources, a subsystem for data transmission, calculation and prompt display of the carbon footprint. Selected devices for monitoring the consumption of water, energy and heat resources with data transfer to the SCADA system. An algorithm for calculating the carbon footprint of an enterprise is proposed. Structural schemes for automated carbon footprint control have been developed.

Keywords

climate change; SCADA-system; carbon footprint; sustainability; urban technology

Subject

Environmental and Earth Sciences, Environmental Science

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