Iot-Based Carbon Footprint Monitoring and Reduction Platform for Urban Homes
都市住宅向けIoTベースのカーボンフットプリント監視・削減プラットフォーム (AI 翻訳)
Sunday Idowu
🤖 gxceed AI 要約
日本語
ESP32とPZEM-004Tセンサーを用いたIoTプラットフォームで、家庭の電力使用量とCO2排出量をリアルタイムに監視する。100W白熱電球とLED電球でテストし、誤差3%未満、応答時間2秒未満の精度を確認。0.508 kgCO2/kWhの排出係数でCO2を算出し、遠隔操作で省エネを促進する。ナイジェリアの家庭での持続可能性向上に貢献する。
English
An IoT platform using ESP32 and PZEM-004T sensors monitors household electricity usage and CO2 emissions in real time. Tested with 100W incandescent and LED bulbs, it achieved <3% error and <2s response time. CO2 is calculated using an emission factor of 0.508 kgCO2/kWh, and remote switching promotes energy savings. Demonstrates affordable IoT for sustainability in Nigerian homes.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の家庭部門では、カーボンフットプリント可視化が省エネ法やカーボンニュートラル目標に貢献する。本システムは低コストで導入可能なため、日本のスマートホーム市場や自治体の環境施策に応用できる。
In the global GX context
This paper provides a low-cost IoT solution for household carbon monitoring, relevant to global efforts in energy efficiency and carbon accounting. It offers a practical model for developing countries and can inform smart home policies and consumer engagement strategies in both developed and emerging economies.
👥 読者別の含意
🔬研究者:Provides a low-cost IoT architecture for household carbon monitoring, useful for comparative studies in energy efficiency and carbon accounting.
🏢実務担当者:Offers a cost-effective solution for home energy management and carbon footprint tracking, applicable to smart home product development.
🏛政策担当者:Demonstrates a scalable approach to household-level carbon monitoring, relevant for designing incentives and regulations for residential energy efficiency.
📄 Abstract（原文）
Abstract This project presents the design and development of an IoT-Based Carbon Footprint Monitoring and Reduction Platform system, which aims to help households monitor their energy consumption in real time and understand the amount of carbon dioxide (CO2) emitted from their daily electricity usage. The system uses an ESP32 microcontroller integrated with a PZEM-004T energy monitoring sensor to measure voltage, current, power, and energy. The data are transmitted through the ESP32’s built-in Wi-Fito a web-based dashboard, where users can view their real-time energy usage and estimated carbon footprint. The relay module allows remote switching of household appliances, helping users reduce unnecessary energy consumption. Testing was carried out using a 100 W incandescent bulb and a LED bulb connected simultaneously. Results showed accurate measurements with less than 3% error and a fast response time (below 2 seconds). The system successfully calculated CO2 emissions using an emission factor of 0.508 kg CO2/kWh. The project demonstrates that affordable IoT technology can provide reliable and real-time energy monitoring, encourage responsible electricity use, and promote environmental sustainability in Nigerian homes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.2118/234785-msfirst seen 2026-08-11 04:39:17
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