For organisations with sprawling, geographically dispersed facilities, gaining visibility into energy performance is crucial yet challenging. Energy management systems (EMS) provide large enterprises with centralised data analytics and controls to optimise electrical, gas and water usage across locations. When implemented effectively, they deliver significant cost and sustainability advantages. This guide explores EMS capabilities and best practices for large commercial deployments.
Key Benefits of Enterprise Energy Management
- Consolidate utility data enterprise-wide to enable benchmarking
- Pinpoint usage waste through granular meter analytics
- Identify optimisation opportunities by location and asset
- Right-size efficiency efforts and capital projects
- Automate and coordinate building controls enterprise-wide
- Track performance against sustainability targets
Challenges of Multi-Site Energy Management
Large portfolios create data silos that hide opportunities:
- Limited metering and usage insight across properties
- Lack of performance visibility at device level
- Energy usage correlated to weather and production variables
- Extensive billing data only available months later
- Identifying optimal efficiency investments
- Coordinating demand management initiatives across distributed assets
An enterprise energy management system overcomes these hurdles.
Core Features and Functionality
Robust EMS solutions offer:
Centralised Usage Data
- Consolidate electricity, gas and water usage data from hundreds of sites into a unified cloud-based platform accessible enterprise-wide.
- Ingest utility billing information and interval smart meter readings via automated feeds.
- Apply data validation, completeness checks and normalisation to ensure quality.
Advanced Meter Analytics
- Leverage smart meters, sensors and IoT devices to gain granular near real-time insights on energy usage at asset level across locations.
- Analyse trends in consumption by site, weather, production variables, and asset performance to pinpoint waste and faults.
- Configure dashboard reporting that alerts energy managers to anomalies as they occur.
- Generate custom reports benchmarking usage by site, asset class or business unit to inform strategy.
- Create templates to distribute data views tailored to different stakeholder needs - from execs to facility managers.
- Build machine learning models to accurately predict facility-level demand using historical intervals, weather data, local events, production schedules and equipment cycles.
- Improve demand planning and purchasing strategies based on anticipated usage requirements.
- Leverage meter data to model cost impact across the portfolio for different utility rates like TOU and demand-based pricing.
- Identify the optimal retail energy contracts that minimise total expenses.
- Normalise usage data across properties to enable apples-to-apples energy and carbon footprint comparisons by region, business unit, or facility attributes.
- Inform targets and capital planning based on rankings and recognition for leading sites.
- Centrally coordinate HVAC, lighting, EV charging and other equipment schedules enterprise-wide based on policies optimized for costs and sustainability.
- Adjust operating parameters in real-time based on occupancy patterns, weather conditions and energy prices.
Expert Tips for Maximising Value
Follow best practices to drive value from your EMS investment:
Start with Business Case
- Quantify expected cost reductions, operational improvements and sustainability gains based on metered baseline data and identified use cases.
- Prioritise solutions with clear capital payback periods of 1-3 years through defined initiatives.
Prioritise Problem Areas
- Focus initial monitoring and controls on the highest energy usage sites or regions with the greatest savings potential.
- Use early pilot projects to demonstrate potential and build support for wider rollouts.
Minimise Implementation Disruption
- Leverage cloud systems and staged rollouts first to smaller property groups to streamline enterprise deployment.
- Configure tools like two-way meter integrations and dashboards to run automatically with minimal manual intervention.
Integrate With Other Software
- Connect EMS into asset management, ERP, billing, building automation and production scheduling systems to enrich usage data.
- Develop APIs and data pipelines for seamless cross-platform data flows.
With hundreds of distributed properties, implementing enterprise energy management delivers consolidated data visibility and control for large Australian businesses that is otherwise impossible. The efficiency and sustainability payoff from intelligent EMS adoption is substantial. Leverage these tools to propel your organisation to the next level of energy optimisation.
What are typical cost savings from an enterprise energy management system?
Savings of 8-22% are achievable through insights on waste, improved maintenance and planning, along with portfolio-wide automation and optimisation.
What expertise is required to implement and support enterprise energy management?
Engage consultants combining deep energy management expertise with IT skills for system configuration, data integration and analytics application.
How long does implementation take for a large multi-site deployment?
Allow 9-18 months to complete requisition, installation, data integration, application development and change management across a major roll out.
What functions offer the fastest payback in enterprise energy management?
Look for quick wins like reducing unoccupied runtimes of HVAC and lighting through global automation and scheduling tools.
How can I engage staff across global operations in efficiency initiatives?
Cascading usage reports help sites understand how they compare. Recognition programs reward conservation achievements.