Development of an Autonomous Utility Consumption Analysis System for Building Optimization

The client faces increasing pressures to improve energy and water efficiency across multiple managed facilities amid rising concerns about climate change and environmental impact. They lack an autonomous, data-driven system to effectively collect, analyze, and visualize utility consumption data, impeding their ability to diagnose energy losses and prioritize optimization efforts.

A medium to large facility management company seeking to enhance operational efficiency and sustainability through automated energy and water consumption analysis.

• Design and implement an autonomous device for continuous measurement and analysis of energy and water usage in multiple managed facilities.
• Develop an internal analytics dashboard to visualize consumption data, identify losses, and suggest potential areas for optimization.
• Enable archiving, processing, and presentation of local utility data with minimal manual intervention.
• Facilitate future scalability to enable cross-facility comparison, investment prioritization, and predictive maintenance capabilities.

• Autonomous data collection from utility meters and local sensors in each facility
• Local archiving and real-time processing of consumption data
• Web-based dashboards providing insights into energy losses and optimization opportunities
• Integration with time series databases for effective storage and retrieval
• Implementation of ML algorithms for detecting anomalies, predicting failures, and prioritizing investments
• Physical case design with 3D printing for hardware robustness and ease of deployment

• Utility meters and sensors for real-time data acquisition
• Existing building management systems (if applicable)
• Remote monitoring platforms for centralized oversight

• System should support data acquisition from multiple facilities with minimal latency
• Scalable architecture to accommodate additional sites and sensors in future
• High reliability and fault tolerance in data collection and processing
• Secure data transmission and access controls for sensitive utility data
• Compliance with relevant data protection and industry standards

The implementation of this autonomous utility consumption analysis system is expected to significantly reduce energy and water losses across managed facilities, leading to cost savings and environmental benefits. Additionally, it will enable data-driven decision-making for maintenance and modernization investments, with a long-term goal of predictive failure detection and cross-facility optimization, ultimately enhancing operational efficiency and sustainability.