InThrMa Energy Management Suite

The InThrMa Energy Management Suite (EMS) is a web-based tool designed to enhance the management of HVAC systems across single buildings and extensive property portfolios. It integrates several critical factors, including security and interoperability, to move beyond basic thermostat adjustments.

Key Functionalities:
- Adaptive Thermostat Optimization: The EMS utilizes cloud intelligence to optimize HVAC settings automatically, adjusting based on usage patterns and external factors.
- Calendar Connect: This feature synchronizes HVAC programming with organizational calendars, allowing for automatic adjustments based on scheduled activities, thus minimizing energy consumption and equipment wear.
- Remote Management: Users can access the system from any web-enabled device, providing real-time control over HVAC systems and the ability to manage multiple locations effortlessly.
- Analytics and Reporting: The platform offers comprehensive reporting tools, including graphs and visualizations, to help users monitor performance and identify potential issues.
- Auto Demand Response (AutoDR): This module assists businesses in managing and reducing energy consumption during peak periods, operating on a secure OpenADR compliant system.

Target Users: The InThrMa EMS is suitable for various stakeholders, including property managers, landlords, and HVAC service providers. It allows users to reduce operational costs while enhancing tenant comfort. Case studies reveal significant savings, such as a salon cutting its annual electricity costs by over $35,000 through effective HVAC management.

Technical Specifications: The platform is cloud-based, ensuring accessibility and scalability. It supports integration with existing HVAC systems and requires no extensive hardware modifications. The user interface is designed for ease of use, facilitating straightforward navigation and control.

In summary, InThrMa EMS is a comprehensive solution for those seeking to optimize their HVAC systems, reduce energy costs, and improve overall operational efficiency.