Introduction
A tailored energy and heat pump monitoring solution designed specifically for a customer in Germany.
Project Overview
- Client-owned 3-floor apartment building in Germany
- The heating system is installed in the basement
- The client needed to monitor the correlation between the heating system and ambient temperature
Customer Challenge
Lack of visibility
- The client could not determine how ambient temperature affected heating system performance.
- The client could not assess whether the heating system was operating efficiently.
No easy historical analysis
- The client needed to export data from the system for analysis, maintenance planning, and operational review.
Solution Overview
Field Devices
- Shelly EM monitors power and energy consumption for the whole building, heat pump, floor 1, floor 2, and floor 3.
- Shelly H&T monitors indoor and outdoor ambient temperature.
- Shelly Plus + Add-on with tank sensors captures flow/return temperatures for floors 1, 2, 3 and buffer tank temperature.
Middleware (Node-RED)
- Handles authentication, API storage and refresh, API calls to retrieve data from field devices, data processing, normalization, and forwarding to cloud.
Cloud (ThingsBoard)
- Receives and stores telemetry.
- Provides operational dashboards.
- Supports historical data export for deeper engineering analysis.
Field Devices → Middleware → Cloud
Field Devices
Power, energy, and temperature sensing layer
Middleware
Data retrieval, processing, normalization, and forwarding
Cloud
Storage, dashboarding, and historical export/reporting
What the Dashboard Helps the Client See
- Outdoor temperature versus flow/return temperature trends
- Heat pump power consumption versus thermal response
- Comparison of energy usage by floor
- Historical review for anomaly detection and inefficient operating windows
- Export-ready data for deeper engineering analysis
Some real-world images from the client side
Historical Reporting & Data Export
The reporting view allows timestamp-based export of power and energy records, supporting deeper trend analysis, maintenance planning, and technical investigation when abnormal behavior is observed.
Tech Highlights
Multi-Point Sensing
Technical Implementation: Shelly EM, H&T, and Plus + Add-on across building, floors, and heat pump
Benefit: Full visibility of power, temperature, and thermal flow per floor
API Middleware
Technical Implementation: Node-RED handles auth, API polling, normalization, and forwarding
Benefit: Reliable, automated data pipeline from field devices to cloud
Cloud Platform
Technical Implementation: ThingsBoard telemetry storage and dashboards
Benefit: Operational dashboards with historical analysis in one place
Data Export
Technical Implementation: Timestamp-based export of power and energy records
Benefit: Supports reporting, maintenance planning, and investigation
Real-World Results
- Operational reliability: the system runs continuously without interruption.
- Decision support: the client can clearly observe building behavior during winter conditions.
- Professional usability: the dashboard is easy to use and includes export and reporting capability.