Proven
Impact at Scale

Challenge

A large manufacturing facility had limited visibility into where energy was being consumed and experienced significant wastage during peak operating hours.

Solution

Enerspace created a digital energy model of the facility, mapped consumption across production lines, and identified inefficient equipment and peak-demand patterns.

Key Results

Key Results

Challenge

A commercial building relied on manual monitoring, making it difficult to identify inefficient HVAC, lighting, and equipment usage.

Solution

Enerspace connected energy data across the building and created an intelligent monitoring and optimisation layer. Automated controls were introduced based on occupancy, consumption patterns, and operational requirements.

Challenge

High peak demand was increasing the facility's electricity costs, even though overall consumption remained relatively stable.

Solution

Enerspace analysed historical and real-time energy data to identify demand spikes. The platform helped shift flexible loads, optimise equipment schedules, and automate responses to peak-demand conditions.

Key Results

Key Results

Challenge

An enterprise operating multiple facilities had energy data spread across different locations and systems, making it difficult for management to compare performance or identify opportunities.

Solution

Enerspace unified energy data from multiple sites into a single intelligent platform, providing facility-level and enterprise-wide visibility.

Challenge

A facility using a combination of grid power and renewable energy needed better coordination between generation, storage, and consumption.

Solution

Enerspace mapped the facility's complete energy journey—from generation and transmission to storage and consumption. Intelligent optimisation helped align energy availability with operational demand.

Key Results