Elektor ESP32 Energy Meter: Prototyping and Integration Guide

This document outlines the development and integration of the Elektor ESP32 Energy Meter, a project focused on real-time energy monitoring and smart home integration.

Project Overview

The Elektor ESP32 Energy Meter is designed to provide accurate, real-time energy consumption monitoring. It utilizes the ESP32 microcontroller and the ATM90E32AS energy metering IC. The project emphasizes ease of use, affordability, and integration with smart home platforms like Home Assistant.

Hardware Design and Components

The core of the energy meter is the ESP32 microcontroller, chosen for its cost-effectiveness, Wi-Fi capabilities, and extensive community support. The ATM90E32AS IC handles the energy measurement, interfacing with current transformers (CTs) and voltage sensors. Key design considerations include:

The design has evolved through several project updates, refining the PCB layout for compactness and optimizing component selection for cost and performance. Safety standards have been a primary focus, with measures like MOVs and fuses incorporated for overcurrent and transient voltage protection.

Software and Firmware

The project utilizes ESPHome firmware for easy integration with Home Assistant. The firmware allows the ESP32 to communicate with the ATM90E32AS, collect energy data, and transmit it via MQTT.

Key Software Features:

The firmware configuration involves setting up Wi-Fi credentials, MQTT broker details, and sensor parameters. Calibration of the sensors is crucial for accurate measurements, involving adjustments to gain settings based on readings from a multimeter.

Integration with Home Assistant

Integrating the ESP32 Energy Meter with Home Assistant provides a powerful platform for monitoring and analyzing energy consumption.

The project aims to provide users with insights into their energy usage, enabling more efficient energy consumption and potentially reducing costs.

Safety Precautions

WARNING: Working with mains voltage is dangerous. Always ensure the power is disconnected before working on any electrical circuits. If you are not experienced with mains voltage, seek assistance from a qualified electrician.

Future Developments

Future development includes enhancing the firmware with advanced AI/ML features for predictive analysis of energy consumption patterns and identifying individual appliance usage based on their load profiles. The project is open-source, encouraging community contributions to further its development.

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