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Energy Solutions in the AI era

Energy Solutions in the AI era

May 26, 2026

go-solar.pages.dev/era5-cities/

sudo docker ps -q | xargs -r sudo docker stop
sudo docker start mqtt-dht11-dashboard emqx 0ce58d132af6
sudo docker container prune -f

https://jalcocert.github.io/JAlcocerT/messaging-protocols/#mqtt-x-picow-x-dht22

git clone https://github.com/JAlcocerT/RPi/
#npm start
docker compose up --build -d
  1. Stop the local Node process.
  2. From mqtt-dht11-dashboard, run docker compose up –build -d
  3. The container should continue using the existing data/readings.sqlite
     sudo ufw status
sudo ufw allow 1883/tcp
mosquitto_sub -h 192.168.1.106 -p 1883 -t "esp32/temperature/dht11" -v
mosquitto_sub -h 192.168.1.106 -p 1883 -t "esp32/humidity/dht11" -v

the esp32 got 192.168.1.109

see Tools -> Serial Monitor at arduinoIDE for the logs

// —- Configuration —- const char* WIFI_SSID = “your-wifi”; const char* WIFI_PASSWORD = “your-password”; // const char* handles special chars ($, @, etc.) const char* MQTT_BROKER = “192.168.1.106”; const int MQTT_PORT = 1883; const int DHT_PIN = 4; // GPIO4 (D4) — best category, no special boot functions const int PUBLISH_MS = 5000;

https://github.com/JAlcocerT/RPi/blob/main/Z_MicroControllers/ESP32/esp32-c/arduino-idea-esp32-internal-temp.png

ESP32 + DHT1 + MQTT ↗ EMQX Docker Config 🐋 ↗

Open ArduinoIDE and select ESP32 Dev Module + CTRL + U to compile the sketch esp32-internal-temp-mqtt.cpp into the board with the right wifi pwd.

https://jalcocert.github.io/JAlcocerT/electronics-101/#quick-iot-samples

ssh casa@192.168.1.106
#cd ./Home-Lab/emqx
#docker compose up -d
# Check if the container is running
docker ps | grep emqx
# Watch EMQX logs live
docker logs emqx -f

Connect to the UI via: http://192.168.1.106:18083 then add admin/public

the new node app is at http://192.168.1.106:3000/

https://github.com/JAlcocerT/RPi/blob/main/Z_MicroControllers/ESP32/esp32-c/mqtt-dht11-dashboard/dht11-telemetry.png

https://github.com/JAlcocerT/RPi/tree/main/Z_MicroControllers/ESP32/esp32-c/mqtt-dht11-dashboard https://github.com/JAlcocerT/RPi/blob/main/Z_MicroControllers/ESP32/esp32-c/esp32-dht11-mqtt-emqx.cpp

https://www.youtube.com/shorts/ZcsaFZgWoEc

Poprawne podsumowanie:

  • Prąd: ~100 kWh/m (avg 95.9)
  • Ciepło worst month: ~2.5 GJ (Feb 2025) ≈ 684 kWh thermal
  • Ciepło avg: ~0.8 GJ/m ≈ 220 kWh thermal/m

coming from https://jalcocert.github.io/JAlcocerT/thermodynamics/ and from

Where some magic happend: https://go-solar.pages.dev/era5-cities/

#git clone /poc
#cd ./poc/go-solar
#make eu-capitals-raw
make eu-capitals-status #-missing
#make era5-cities-bake       # resumable, only fetches new 31
make era5-cities-bake-local
make ship

https://go-solar.pages.dev/era5-cities/

alt text

What to bring from the experiment:

  • The 5 IR readings + DHT22 (T_surface_in_u, T_surface_in_t, T_air_in, optional T_surface_out_u, T_surface_out_t)
  • Date + hour of the measurement (to look up the matching ERA5 GHI / T_air_out for that timestamp)
  • Material used + €/m² actually paid
  • Any photos of the patch + sensor placement (just nice to have)

What to bring from the bills:

  • 12 monthly kWh totals
  • Their real €/kWh (bill total ÷ kWh)
  • Contracted power (kW)
  • AC unit age/model if known

The flow we’ll run:

  1. Plug measurements into /era5-cities/Sevilla measured-seasonal section
  2. Calibrate AC COP using bills vs model prediction (per zzzzz-post-experiment.md step B5)
  3. Run the three-scenario projection (best/likely/worst)
  4. Generate the parent-facing one-pager from the template
  5. Decide whether to scale to full roof

The docs to reference when you’re back:

  • zzz-azotea-experiment-actionplan.md — execution checklist
  • zzz-experiment-expectations.md — sanity-check bands for the readings
  • zzzzz-post-experiment.md — workflow → parent presentation

Good luck with the measurement weekend. Pick a clear-sky day, 14:30–16:30, AC steady-state for an hour beforehand, and remember the slab needs 12+ hours after patch application to equilibrate. See you on the other side of the empirical confirmation.

Tl;DR

How about doing energysolutions NOW?

alt text

+++ Solar assisted heat pump simulation (SAHP)

Intro

Coming from these next steps to improve the existing features.

Its just all about heat pumps.

Conclusions 

cd ./poc/go-solar
make ship #https://go-solar.pages.dev/era5-cities/
#cd ./poc/aerothermics
make deploy #https://main.aerothermics-landing.pages.dev/

Anti-barbell example (what I steered you away from):

  • Free tier (limited)
  • €9/mo (more bins, more years)
  • €29/mo (API, batch)
  • €99 consult
  • Result: 4-way choice, weak free tier, no clear premium positioning

Barbell example (what you have):

  • Free, unlimited tool
  • € paid call
  • Done

CheckList

  1. The aerotermia PoC:
git clone /poc
cd ./poc/aero
  1. The IoT setup: sensor pushing data via mqtt

  1. The historical invoice records:

  2. Wrapping all together:

FAQ

How much Tilt matters for FV

Depending on: latitude, day of the year, hour

What a Year...2026