Ajout Thermostat
This commit is contained in:
1
ESP8266-Station
Submodule
1
ESP8266-Station
Submodule
Submodule ESP8266-Station added at 08370809e1
63
Thermostat/README.md
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63
Thermostat/README.md
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# Thermostat Project for Sonoff Basic R2
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This project implements a WiFi thermostat using a Sonoff Basic R2, designed for integration with Home Assistant via MQTT. It supports preset modes (confort, eco, off, boost), receives room temperature from an MQTT gateway, and provides a fallback WiFi configuration portal for setup.
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## Features
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- MQTT-based Home Assistant integration as a thermostat device (with preset modes)
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- Receives room temperature from an external MQTT sensor (e.g., Xiaomi)
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- Fallback WiFi configuration page for setting WiFi, MQTT server, preset temperatures, and device ID
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- Configurable preset temperatures (confort, eco, boost, hors gel)
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- Clean code structure for maintainability
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## Project Structure
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- `src/` : Main application logic
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- `include/` : Header files
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- `data/` : Static files for web configuration portal
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- `platformio.ini` : PlatformIO project configuration
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- `README.md` : This documentation
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## Getting Started
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### 1. Prerequisites
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- PlatformIO extension for VS Code
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- Sonoff Basic R2 device
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- MQTT broker (e.g., Mosquitto)
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- Home Assistant instance
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### 2. Build & Upload
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1. Clone this repository or copy the folder to your PlatformIO workspace.
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2. Edit `platformio.ini` if needed (WiFi/MQTT credentials can be set via the web portal after first boot).
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3. Build and upload the firmware to your Sonoff Basic R2.
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### 3. First Boot & Configuration
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- On first boot (or if WiFi/MQTT fails), the device starts a WiFi AP for configuration.
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- Connect to the AP and open the captive portal to set:
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- WiFi SSID/password
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- MQTT server/port/credentials
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- Preset temperatures (confort, eco, boost, hors gel)
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- Device ID for temperature sensor
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### 4. Home Assistant Integration
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- The device publishes/receives via MQTT using the Home Assistant climate platform.
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- Preset modes (confort, eco, off, boost) are supported and can be set from Home Assistant.
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- The device subscribes to a temperature topic (e.g., from a Xiaomi sensor via Zigbee2MQTT).
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### 5. File Overview
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- `src/main.cpp` : Main application entry point
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- `src/thermostat.cpp` / `include/thermostat.h` : Thermostat logic
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- `src/mqtt_handler.cpp` / `include/mqtt_handler.h` : MQTT communication
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- `src/web_config.cpp` / `include/web_config.h` : WiFi/MQTT/web config portal
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- `src/preset.cpp` / `include/preset.h` : Preset management
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- `data/` : HTML/CSS/JS for configuration portal
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## Example MQTT Topics
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- Temperature: `home/room/temperature/<device_id>`
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- State: `home/thermostat/<device_id>/state`
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- Command: `home/thermostat/<device_id>/set`
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## Advanced
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- Fallback to AP mode if WiFi or MQTT fails
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- All configuration is stored in flash and can be reset via the web portal
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## License
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MIT
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32
Thermostat/data/index.html
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Thermostat/data/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>Thermostat Config</title>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<style>
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body { font-family: Arial, sans-serif; margin: 2em; }
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label { display: block; margin-top: 1em; }
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input, select { width: 100%; padding: 0.5em; }
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button { margin-top: 2em; padding: 1em; width: 100%; }
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</style>
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</head>
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<body>
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<h2>Thermostat WiFi & MQTT Config</h2>
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<form method="POST" action="/save">
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<label>WiFi SSID<input name="ssid" required></label>
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<label>WiFi Password<input name="wpass" type="password"></label>
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<label>MQTT Server<input name="mqtt" required></label>
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<label>MQTT Port<input name="mqttport" type="number" value="1883"></label>
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<label>MQTT User<input name="mqttuser"></label>
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<label>MQTT Password<input name="mqttpass" type="password"></label>
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<label>Device ID<input name="devid" required></label>
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<label>Temperature Sensor ID<input name="tempid" required></label>
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<label>Confort Temp (°C)<input name="confort" type="number" value="21" step="0.1"></label>
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<label>Eco Temp (°C)<input name="eco" type="number" value="18" step="0.1"></label>
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<label>Boost Temp (°C)<input name="boost" type="number" value="23" step="0.1"></label>
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<label>Hors Gel Temp (°C)<input name="horsgel" type="number" value="7" step="0.1"></label>
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<button type="submit">Save & Reboot</button>
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</form>
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</body>
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</html>
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10
Thermostat/include/mqtt_handler.h
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Thermostat/include/mqtt_handler.h
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#pragma once
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#include <Arduino.h>
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#include <PubSubClient.h>
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void setup_mqtt(PubSubClient& client);
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void mqtt_loop(PubSubClient& client);
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void mqtt_publish_state(PubSubClient& client, ThermostatMode mode, float targetTemp, bool heating);
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void mqtt_callback(char* topic, byte* payload, unsigned int length);
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extern String mqtt_device_id;
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extern String mqtt_temp_topic;
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8
Thermostat/include/preset.h
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Thermostat/include/preset.h
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#pragma once
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#include <Arduino.h>
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#include "thermostat.h"
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void load_presets();
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void save_presets();
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float get_preset_temp(ThermostatMode mode);
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void set_preset_temp(ThermostatMode mode, float temp);
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21
Thermostat/include/thermostat.h
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Thermostat/include/thermostat.h
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#pragma once
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#include <Arduino.h>
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enum ThermostatMode { MODE_OFF, MODE_CONFORT, MODE_ECO, MODE_BOOST, MODE_HORS_GEL };
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class Thermostat {
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public:
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Thermostat();
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void setMode(ThermostatMode mode);
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void setTemperature(float temp);
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void setPresetTemp(ThermostatMode mode, float temp);
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void update(float currentTemp);
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bool isHeating() const;
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ThermostatMode getMode() const;
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float getTargetTemp() const;
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private:
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ThermostatMode mode;
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float presetTemps[5];
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float targetTemp;
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bool heating;
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};
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19
Thermostat/include/web_config.h
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Thermostat/include/web_config.h
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#pragma once
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#include <Arduino.h>
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void setup_web_config();
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void handle_web_config();
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bool should_save_config();
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void save_config();
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void load_config();
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extern String wifi_ssid;
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extern String wifi_pass;
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extern String mqtt_server;
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extern int mqtt_port;
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extern String mqtt_user;
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extern String mqtt_pass;
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extern float preset_confort;
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extern float preset_eco;
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extern float preset_boost;
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extern float preset_hors_gel;
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extern String temp_sensor_id;
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13
Thermostat/platformio.ini
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Thermostat/platformio.ini
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[env:sonoff_basic_r2]
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platform = espressif8266
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board = sonoff_basic_r2
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framework = arduino
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monitor_speed = 115200
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upload_speed = 115200
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build_flags = -DPIO_FRAMEWORK_ARDUINO_LWIP2_LOW_MEMORY
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lib_deps =
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knolleary/PubSubClient
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tzapu/WiFiManager
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bblanchon/ArduinoJson
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ESPAsyncWebServer
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ESPAsyncTCP
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36
Thermostat/src/main.cpp
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Thermostat/src/main.cpp
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#include <Arduino.h>
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#include <ESP8266WiFi.h>
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#include <PubSubClient.h>
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#include "thermostat.h"
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#include "mqtt_handler.h"
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#include "web_config.h"
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#include "preset.h"
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WiFiClient espClient;
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PubSubClient mqttClient(espClient);
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Thermostat thermostat;
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float currentTemp = 0.0;
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void setup() {
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Serial.begin(115200);
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load_config();
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setup_web_config();
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WiFi.begin(wifi_ssid.c_str(), wifi_pass.c_str());
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mqttClient.setServer(mqtt_server.c_str(), mqtt_port);
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setup_mqtt(mqttClient);
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load_presets();
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thermostat.setPresetTemp(MODE_CONFORT, preset_confort);
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thermostat.setPresetTemp(MODE_ECO, preset_eco);
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thermostat.setPresetTemp(MODE_BOOST, preset_boost);
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thermostat.setPresetTemp(MODE_HORS_GEL, preset_hors_gel);
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thermostat.setMode(MODE_OFF);
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}
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void loop() {
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handle_web_config();
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mqtt_loop(mqttClient);
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thermostat.update(currentTemp);
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mqtt_publish_state(mqttClient, thermostat.getMode(), thermostat.getTargetTemp(), thermostat.isHeating());
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delay(1000);
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}
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33
Thermostat/src/mqtt_handler.cpp
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33
Thermostat/src/mqtt_handler.cpp
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#include "mqtt_handler.h"
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#include "thermostat.h"
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#include <ArduinoJson.h>
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String mqtt_device_id = "thermo1";
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String mqtt_temp_topic = "home/room/temperature/thermo1";
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void setup_mqtt(PubSubClient& client) {
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// Setup MQTT connection, subscribe to temp topic
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client.setCallback(mqtt_callback);
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client.subscribe(mqtt_temp_topic.c_str());
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}
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void mqtt_loop(PubSubClient& client) {
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if (!client.connected()) {
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// reconnect logic here
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}
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client.loop();
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}
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void mqtt_publish_state(PubSubClient& client, ThermostatMode mode, float targetTemp, bool heating) {
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StaticJsonDocument<128> doc;
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doc["mode"] = mode;
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doc["target"] = targetTemp;
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doc["heating"] = heating;
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char buf[128];
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size_t n = serializeJson(doc, buf);
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client.publish(("home/thermostat/" + mqtt_device_id + "/state").c_str(), buf, n);
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}
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void mqtt_callback(char* topic, byte* payload, unsigned int length) {
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// Handle incoming MQTT messages (e.g., set mode, set preset, etc.)
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}
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18
Thermostat/src/preset.cpp
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Thermostat/src/preset.cpp
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#include "preset.h"
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#include <EEPROM.h>
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static float presets[5] = {0, 21.0, 18.0, 23.0, 7.0};
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void load_presets() {
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// Load from EEPROM or SPIFFS
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}
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void save_presets() {
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// Save to EEPROM or SPIFFS
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}
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float get_preset_temp(ThermostatMode mode) {
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return presets[mode];
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}
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void set_preset_temp(ThermostatMode mode, float temp) {
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presets[mode] = temp;
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save_presets();
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}
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35
Thermostat/src/thermostat.cpp
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35
Thermostat/src/thermostat.cpp
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#include "thermostat.h"
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Thermostat::Thermostat() : mode(MODE_OFF), targetTemp(0), heating(false) {
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presetTemps[MODE_CONFORT] = 21.0;
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presetTemps[MODE_ECO] = 18.0;
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presetTemps[MODE_BOOST] = 23.0;
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presetTemps[MODE_HORS_GEL] = 7.0;
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presetTemps[MODE_OFF] = 0.0;
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}
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void Thermostat::setMode(ThermostatMode m) {
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mode = m;
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targetTemp = presetTemps[mode];
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}
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void Thermostat::setTemperature(float temp) {
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targetTemp = temp;
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}
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void Thermostat::setPresetTemp(ThermostatMode m, float temp) {
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presetTemps[m] = temp;
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if (mode == m) targetTemp = temp;
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}
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void Thermostat::update(float currentTemp) {
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if (mode == MODE_OFF) {
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heating = false;
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} else {
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heating = (currentTemp < targetTemp);
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}
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}
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bool Thermostat::isHeating() const { return heating; }
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ThermostatMode Thermostat::getMode() const { return mode; }
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float Thermostat::getTargetTemp() const { return targetTemp; }
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29
Thermostat/src/web_config.cpp
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29
Thermostat/src/web_config.cpp
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#include "web_config.h"
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#include <WiFiManager.h>
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String wifi_ssid, wifi_pass, mqtt_server, mqtt_user, mqtt_pass, temp_sensor_id;
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int mqtt_port = 1883;
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float preset_confort = 21.0, preset_eco = 18.0, preset_boost = 23.0, preset_hors_gel = 7.0;
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bool shouldSaveConfigFlag = false;
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void save_config() {
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// Save config to SPIFFS or EEPROM
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}
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void load_config() {
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// Load config from SPIFFS or EEPROM
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}
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void setup_web_config() {
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WiFiManager wm;
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// Add custom parameters for MQTT, presets, sensor id
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// On save, set shouldSaveConfigFlag = true
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wm.autoConnect("ThermostatConfig");
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if (shouldSaveConfigFlag) save_config();
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}
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void handle_web_config() {
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// Handle web config portal if needed
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}
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bool should_save_config() { return shouldSaveConfigFlag; }
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178
wind.md
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178
wind.md
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---
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## 4. Horizontal Wind Turbine (HAWT) Solution and Comparison
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### Example: Commercial HAWT (ManoMano)
|
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- **Product:** 800W, 6-blade HAWT ([link](https://www.manomano.fr/p/eolienne-sans-onduleur-puissance-de-800-w-6-pales-tension-nominale-1224-v-vitesse-du-vent-au-demarrage-1-ms-105-65-cm-89805830))
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- **Rotor Diameter:** ~1.05m (area ≈ 0.87 m²)
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- **Rated Power:** 800W (at high wind speeds, e.g., 12-15 m/s)
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- **Cut-in Wind Speed:** 1 m/s (starts turning)
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- **Nominal Voltage:** 12/24V
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### Realistic Power Output Calculation
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- **At 1.5m height:** Wind speed is still low (see VAWT section)
|
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- **Average wind speed used:** Same as VAWT, 3.3 m/s
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- **HAWT efficiency:** Typically 30-35% (use 30% for estimate)
|
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#### Power Formula
|
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$$
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P = 0.5 \times \rho \times A \times v^3 \times \text{efficiency}
|
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$$
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Where:
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- $A$ = 0.87 m²
|
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- $v$ = monthly average wind speed (see VAWT table)
|
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- $\rho$ = 1.225 kg/m³
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- Efficiency = 0.30
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#### Monthly Power Output Table
|
||||
| Month | v (m/s) | P_avg (W) | kWh/month |
|
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|-----------|---------|-----------|-----------|
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| January | 4.0 | 10.3 | 7.7 |
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| February | 4.0 | 10.3 | 7.0 |
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| March | 3.8 | 8.8 | 6.5 |
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| April | 3.5 | 6.9 | 5.0 |
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| May | 3.2 | 5.2 | 3.9 |
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| June | 3.0 | 4.3 | 3.1 |
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| July | 2.8 | 3.5 | 2.6 |
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| August | 2.8 | 3.5 | 2.6 |
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||||
| September | 3.0 | 4.3 | 3.1 |
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||||
| October | 3.3 | 5.4 | 4.1 |
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| November | 3.6 | 7.3 | 5.2 |
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| December | 3.9 | 8.5 | 6.3 |
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||||
**Annual total:** ~57 kWh/year
|
||||
|
||||
---
|
||||
|
||||
### Comparison: VAWT vs HAWT
|
||||
|
||||
| Type | Area (m²) | Efficiency | Annual Energy (kWh) | Pros | Cons |
|
||||
|--------|-----------|------------|---------------------|------|------|
|
||||
| VAWT | 1.0 | 25% | ~54 | Simple, omni-directional, easy to build | Lower efficiency, less power at low height |
|
||||
| HAWT | 0.87 | 30% | ~57 | Higher efficiency, more power at same wind | Needs to face wind, more complex, needs tail/yaw |
|
||||
|
||||
- **Both types** at 1.5m height produce similar (low) annual energy due to low wind speed.
|
||||
- **HAWT** is slightly more efficient, but complexity and need to face wind are drawbacks.
|
||||
- **Commercial 800W HAWT** will only reach rated power in very strong winds (rare at 1.5m).
|
||||
|
||||
---
|
||||
|
||||
### Recommendations
|
||||
- For learning and experimentation, both types are valid.
|
||||
- For best results, try to raise the turbine higher (wind speed increases rapidly with height).
|
||||
- Use data logging to compare real output with theoretical predictions.
|
||||
- Consider safety and local regulations for both types.
|
||||
|
||||
---
|
||||
|
||||
## Additional References
|
||||
- [ManoMano HAWT Example](https://www.manomano.fr/p/eolienne-sans-onduleur-puissance-de-800-w-6-pales-tension-nominale-1224-v-vitesse-du-vent-au-demarrage-1-ms-105-65-cm-89805830)
|
||||
- [HAWT vs VAWT](https://en.wikipedia.org/wiki/Comparison_of_wind_turbines)
|
||||
# Wind Turbine Experiment in Plounéventer, France (29400)
|
||||
|
||||
## 1. Estimating Wind Power Output
|
||||
|
||||
### Key Parameters
|
||||
- **Location:** Plounéventer, France (29400)
|
||||
- **Turbine Type:** Vertical Axis Wind Turbine (VAWT)
|
||||
- **Height:** 1.5 meters above ground
|
||||
- **Swept Area:** 1 m²
|
||||
- **Field:** Open, unobstructed
|
||||
|
||||
### Wind Resource Estimation
|
||||
- **Average wind speed at 10m in Plounéventer:** ~5.5 m/s (source: wind resource maps)
|
||||
- **At 1.5m height:** Wind speed is lower due to ground friction. Estimate: ~60% of 10m value ≈ 3.3 m/s
|
||||
|
||||
### Power Calculation Formula
|
||||
Theoretical wind power:
|
||||
$$
|
||||
P = \frac{1}{2} \cdot \rho \cdot A \cdot v^3
|
||||
$$
|
||||
Where:
|
||||
- $P$ = Power (W)
|
||||
- $\rho$ = Air density (1.225 kg/m³)
|
||||
- $A$ = Swept area (1 m²)
|
||||
- $v$ = Wind speed (m/s)
|
||||
|
||||
**Turbine efficiency (Betz limit):** Max 59%, but real VAWT: 20-30%. Use 25% for estimate.
|
||||
|
||||
### Monthly Wind Speed Estimates
|
||||
| Month | Avg Wind Speed (m/s) |
|
||||
|-----------|---------------------|
|
||||
| January | 4.0 |
|
||||
| February | 4.0 |
|
||||
| March | 3.8 |
|
||||
| April | 3.5 |
|
||||
| May | 3.2 |
|
||||
| June | 3.0 |
|
||||
| July | 2.8 |
|
||||
| August | 2.8 |
|
||||
| September | 3.0 |
|
||||
| October | 3.3 |
|
||||
| November | 3.6 |
|
||||
| December | 3.9 |
|
||||
|
||||
### Monthly Power Output Calculation
|
||||
For each month:
|
||||
$$
|
||||
P_{avg} = 0.5 \times 1.225 \times 1 \times v^3 \times 0.25
|
||||
$$
|
||||
|
||||
| Month | v (m/s) | P_avg (W) | kWh/month |
|
||||
|-----------|---------|-----------|-----------|
|
||||
| January | 4.0 | 9.8 | 7.3 |
|
||||
| February | 4.0 | 9.8 | 6.6 |
|
||||
| March | 3.8 | 8.4 | 6.2 |
|
||||
| April | 3.5 | 6.6 | 4.8 |
|
||||
| May | 3.2 | 5.0 | 3.7 |
|
||||
| June | 3.0 | 4.1 | 3.0 |
|
||||
| July | 2.8 | 3.3 | 2.5 |
|
||||
| August | 2.8 | 3.3 | 2.5 |
|
||||
| September | 3.0 | 4.1 | 3.0 |
|
||||
| October | 3.3 | 5.2 | 3.9 |
|
||||
| November | 3.6 | 7.0 | 5.0 |
|
||||
| December | 3.9 | 8.1 | 6.0 |
|
||||
|
||||
**Annual total:** ~54 kWh/year
|
||||
|
||||
---
|
||||
|
||||
## 2. Best Practices for Your Experiment
|
||||
|
||||
### A. Turbine Design
|
||||
- Use a simple, robust VAWT design (e.g., Savonius or Darrieus)
|
||||
- Ensure the structure is stable and safe at 1.5m height
|
||||
- Use lightweight, weather-resistant materials
|
||||
|
||||
### B. Site Selection
|
||||
- Place turbine in the most open, unobstructed area
|
||||
- Avoid trees, buildings, or other windbreaks within 20m
|
||||
|
||||
### C. Measurement & Data Logging
|
||||
- Use an anemometer at 1.5m to log real wind speeds
|
||||
- Install a wattmeter or data logger to record power output
|
||||
- Record data at least hourly for best results
|
||||
|
||||
### D. Safety & Legal
|
||||
- Ensure the installation is secure and not a hazard
|
||||
- Check local regulations for small wind turbines
|
||||
|
||||
### E. Optimization
|
||||
- Test different blade shapes and angles
|
||||
- Compare results with theoretical predictions
|
||||
- Try raising the turbine (if possible) to see the effect on output
|
||||
|
||||
---
|
||||
|
||||
## 3. Conclusion
|
||||
- At 1.5m, wind speeds are modest, so expect low power output (max ~10W, average much less)
|
||||
- Annual energy: ~54 kWh (best case)
|
||||
- Main value: learning about wind energy, data collection, and optimization
|
||||
|
||||
---
|
||||
|
||||
## References
|
||||
- [Global Wind Atlas](https://globalwindatlas.info/)
|
||||
- [Betz Limit](https://en.wikipedia.org/wiki/Betz%27s_law)
|
||||
- [VAWT Designs](https://en.wikipedia.org/wiki/Vertical-axis_wind_turbine)
|
||||
Reference in New Issue
Block a user