Sustainable Energy Optimization Through Cloud-Native Building Automation and Predictive Analytics Integration
Regional System Architect, Schneider Electric, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 24(03), 3619-3628
Publication history:
Received on 04 November 2024; revised on 22 December 2024; accepted on 28 December 2024
Abstract:
Managing energy in large-scale sports and entertainment venues is uniquely challenging due to rapid occupancy fluctuations, diverse event types, and complex, multi-system mechanical infrastructures spanning vast spatial footprints. Conventional building automation strategies, optimized for steady-state commercial buildings, fail to adapt to stadiums transitioning from empty to tens of thousands of occupants within hours across baseball games, concerts, and special events. This paper presents a cloud-native building automation architecture integrating distributed field control, high-velocity time-series analytics, predictive fault detection, and real-time demand response orchestration to optimize energy use in multi-purpose venues. PostgreSQL with TimescaleDB extensions supports continuous trend data ingestion, while cloud-hosted Building Advisor services automate diagnostics and maintenance prioritization. Predictive occupancy-driven ventilation, dynamic pre-conditioning aligned with event schedules, and automated load curtailment achieve a 37% reduction in annual energy consumption versus traditional schedules. Sub-second fault detection enables proactive interventions, preserving equipment integrity and occupant comfort. Closed-loop integration with ticketing and fan engagement systems dynamically adjusts HVAC and lighting zones, eliminating energy waste in unoccupied areas. Simulation of a 30,000-seat retractable dome stadium confirms scalability across 927,000 square feet while maintaining air quality standards, establishing a replicable framework for sustainable, high-performance smart venue operations.
Keywords:
Cloud-Native Building Automation; Stadium Energy Optimization; Predictive Fault Detection; Time-Series Analytics; Occupancy-Driven HVAC Control; Demand Response Orchestration; Sustainable Venue Operations
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0