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Development of an IoT-Enabled Smart HVAC Optimization System for Commercial Buildings
  1. case
  2. Development of an IoT-Enabled Smart HVAC Optimization System for Commercial Buildings

Development of an IoT-Enabled Smart HVAC Optimization System for Commercial Buildings

nix-united.com
HVAC
Energy & natural resources
Utilities

Challenges in Monitoring and Optimizing Geothermal HVAC Systems for Energy Efficiency

The client faces difficulties in effectively monitoring and controlling geothermal HVAC systems across diverse building types, resulting in suboptimal energy consumption. Ensuring secure, real-time data access and user-friendly interfaces for technical staff and end-users is critical, especially when access to core system hardware and UNIX-based environments is restricted. Additionally, there is a need to prevent system setbacks and ensure consistent performance to reduce greenhouse gas emissions and operational costs.

About the Client

A mid to large-sized commercial building management firm seeking to leverage IoT technology to enhance HVAC efficiency and reduce environmental impact.

Goals for Improving HVAC Efficiency and Environmental Impact through IoT Integration

  • Develop a configurable, secure web and mobile platform to monitor and manage geothermal HVAC systems across multiple property types.
  • Implement real-time data acquisition from HVAC system sensors to enable dynamic control and forecasting.
  • Create user-friendly interfaces for technical teams and end-users to view system parameters, history, and performance predictions.
  • Optimize energy consumption and equipment runtime to achieve significant cost savings and reduce greenhouse gas emissions.
  • Enable comprehensive system configuration and simulation capabilities to assess profitability and system performance.

Core Functionalities for an IoT-Driven HVAC Management Platform

  • User management and access control with role-based permissions for end-users, administrators, and technical staff.
  • System simulation for testing HVAC performance scenarios and profitability calculations.
  • Real-time data reading from HVAC sensors with configurable parameters and remote control capabilities.
  • Historical data visualization including sheets, graphs, and reports for performance monitoring.
  • Forecasting tools providing predictions based on current and historical system data.
  • Intuitive UI/UX design ensuring easy navigation, recent updates, and efficient workflow.
  • System configuration interface for end-users and administrators to manage all aspects of HVAC control and monitoring.

Technology Stack and Architectural Preferences for HVAC Optimization

.NET Core / ASP.NET Core for backend services
ASP.NET MVC for web applications
WCF and Entity Framework for system integration and data management
MySQL or similar relational database
Frontend frameworks like Knockout.js and Angular 2 for dynamic UI
Cloud infrastructure (e.g., AWS) for scalability
Mobile app development platforms (e.g., Swift for iOS)

External System Integrations for Sensor Data and Control

  • HVAC system sensors for real-time data acquisition
  • Remote control interfaces for HVAC components
  • Cloud services for data storage, notifications, and forecasts
  • Client systems for profitability and performance analysis

Critical Non-Functional System Requirements

  • High security standards for data protection and system access
  • Scalability to support two million square feet of building space
  • High availability and reliability for continuous monitoring
  • Responsive UI with optimized load times and easy navigation
  • Performance metrics to ensure real-time data processing and convergence

Projected Business Outcomes from IoT HVAC Optimization System

The implementation of this IoT-enabled HVAC management solution is expected to optimize energy use across commercial buildings, reducing operational costs through minimized equipment runtime and improved system efficiency. The project aims to deliver a highly configurable, secure platform that supports real-time monitoring and forecasting, resulting in significant energy savings and environmental benefits by decreasing greenhouse gas emissions. It is estimated to impact systems managing over two million square feet of buildings, including schools, hospitals, offices, and manufacturing facilities.

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