The Challenge
Business Problem
Commercial buildings waste 30% of energy due to inefficient HVAC scheduling, lights left on in empty rooms, and lack of real-time occupancy data.
The Approach
Solution Overview
Connect Home Assistant and MQTT MCP Servers with analytics to monitor occupancy, temperature, and energy usage, then automatically adjust HVAC and lighting for optimal efficiency.
Step-by-Step
Implementation Steps
1
Connect IoT Sensors
Set up MQTT subscriptions for temperature, occupancy, and energy sensors across the building.
2
Build Occupancy Model
Track room occupancy patterns to predict when spaces will be used or empty.
3
Optimize HVAC
Adjust heating/cooling based on occupancy predictions and weather data.
async function optimizeHVAC(zone) {
const occupancy = await mqtt.getLatest({ topic: `building/${zone}/occupancy` });
const temp = await mqtt.getLatest({ topic: `building/${zone}/temperature` });
if (!occupancy.occupied && temp.value > 72) {
await homeAssistant.callService({ domain: 'climate', service: 'set_temperature', entity_id: `climate.${zone}`, temperature: 78 });
}
}4
Generate Energy Reports
Produce daily energy consumption reports with savings from automated optimization.
Code
Code Examples
typescript
Energy Monitor
async function dailyEnergyReport() {
const usage = await mqtt.getHistory({ topic: 'building/energy/total', period: '24h' });
const baseline = getBaseline();
const savings = baseline - sum(usage);
return { usage: sum(usage), baseline, savings, savingsPercent: (savings / baseline * 100).toFixed(1) };
}Overview
ComplexityMedium
Estimated Time~16 hours
Tools Used
Home Assistant MCP ServerMQTT MCP ServerSlack MCP Server
Industry
Real EstateFacilities Management
ROI Metrics
Time Saved5 hours/week on manual adjustments
Cost Reduction30% reduction in energy costs
Efficiency GainReal-time occupancy-based optimization