An End-To-End Ventilation Solution For An EaaS Model

A Comprehensive And Secure IoT-Based Solution For An Innovative EaaS Model

Energy

A Comprehensive And Secure IoT-Based Solution For An Innovative EaaS Model

  • Context: The client, an Energy-as-a-Service (EaaS) provider, needed a secure and scalable way to optimize HVAC energy use across distributed customer environments.
  • Challenge: Existing smart thermostat solutions introduced security risks and lacked the robustness required for deployment across distributed energy environments.
  • Solution: We designed and engineered a secure, end-to-end IoT solution that connects custom hardware with cloud-based analytics. It enables real-time monitoring, continuous optimization, and secure device management.
  • Impact: The solution helped businesses lower utility costs and participate in sustainability initiatives.

 

 

What We Did

We partnered with the client to design, build, manufacture, secure, and deploy a new smart thermostat that operates reliably within energy infrastructure and at scale.

Building the Hardware from the Ground Up

Our hardware team led the full design and production process, taking the smart thermostat from initial blueprint through certified, production-ready hardware.

  • Created a complete hardware blueprint for a new smart thermostat
  • Designed and populated the PCB at our in-house hardware labs
  • Transitioned the device from concept to functional prototype
  • Conducted in-house safety, reliability, and durability stress testing
  • Verified compliance with international standards
  • Performed rigorous radio frequency testing at an FCC-accredited laboratory
  • Achieved FCC certification following successful emissions testing
  • Maintained strict Quality Assurance oversight throughout production
  • Executed batch-level Quality Control evaluations before delivery to the client

Developing a Highly Secure Firmware

To reduce susceptibility to cyberattacks and protect sensitive operational data, we developed a firmware in-house with security built in by design.

  • Implemented robust security measures within the firmware layer
  • Encrypted all transmitted and stored data
  • Enabled regular security updates to prevent vulnerabilities
  • Protected against data compromise and operational disruptions

Optimizing Energy Efficiency

Energy efficiency was a core focus, with specific attention given to HVAC performance and Coefficient of Performance (COP) levels.

  • Addressed HVAC energy consumption directly
  • Optimized systems to achieve higher COP levels
  • Reduced energy usage through more efficient system operation
  • Lowered operational costs and utility bills as a result

To support this optimization, the smart thermostat communicates directly with HVAC systems using the BACnet protocol.

  • Leveraged BACnet (Building Automation and Control Networks) for system communication
  • Improved resource efficiency compared to conventional methods
  • Used generated data to reduce facility operating expenses
  • Expanded thermostat data to improve visibility into power usage
  • Enabled better system control and more informed decision-making

Managing and Analyzing Data

The smart thermostat was designed to collect and act on meaningful data to support automation, efficiency, and waste reduction.

  • Collected insights to automate systems based on ambient conditions
  • Adjusted operations using inputs such as air quality and insulation
  • Detected anomalies in energy usage, including unexpected spikes or drops
  • Alerted facility managers when corrective action was required
  • Prevented energy waste through early issue detection

Data collection was further supported by IoT-powered sensing hardware.

  • Used a compact companion handheld device with IoT-enabled sensors
  • Captured environmental and operational data
  • Transmitted data to the server for processing and analysis
  • Enabled precise decision-making and increased energy savings

The Impact

At the local level, the platform enables businesses to significantly cut down on energy bills.

At scale, the solution supports collective demand response programs, contributing to lower overall greenhouse gas emissions.

  • Advances sustainability outcomes at both the customer and system level
  • Enables data-driven energy optimization at individual customer sites
  • Supports participation in collective demand response initiatives
  • Helps stabilize grid demand across distributed environments
  • Reduces energy usage, operational costs, and emissions

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