Lincolnshire Partnership NHS Foundation Trust Chooses EMMA AI for Automated Energy Management

Targeting £75k+ in annual savings through automated insights and live data

Automated energy management is at the heart of Lincolnshire Partnership NHS Foundation Trust’s new strategy to cut costs and reduce carbon. By partnering with Optimal Monitoring and deploying EMMA AI across its estate, the Trust will consolidate data from meters, sub-meters, sensors and BMS systems to identify avoidable waste and unlock more than £75,000 in potential annual savings.

Laying the Foundations for Automated Energy Savings

Lincolnshire Partnership NHS Foundation Trust has chosen Optimal Monitoring to deploy EMMA AI across its estate, building on the proven results achieved at Oxford NHS Trust, where automated energy management delivered significant, measurable savings.

Strengthening Energy Management Across the Estate

The Trust is working to enhance its energy management capabilities both to save money and reduce carbon emissions from the estate. To this end there is a desire to understand power consumption across the estate from all possible sources including existing meters, sub-meters and sensors as well as any BMS and extended sensor network that may exist in the future. Such extensions will provide a substantially improved granularity of data and a far more accurate picture of how buildings are performing day-to-day.

Establishing a Clear Baseline With Unified Data

The project begins with consolidating all available meter data to establish a clear baseline. This includes existing meter points, future sub-metering, and all supplementary data streams the Trust wants to bring together as part of its long-term strategy. As this unified dataset grows, the Trust will be able to view, compare, and interrogate performance in a way that has not previously been possible.

This will be followed by integrating BMS and sub-metering data to unlock deeper operational insights and identify avoidable energy waste. Bringing these data sources together is critical: many inefficiencies only surface when multiple data types are analysed in context. With EMMA AI automating this work, the Trust can uncover issues quickly, prioritise their impact, and create a repeatable process for improving estate efficiency over time.

A New Approach to Automated Energy Analysis

EMMA AI offers a new approach for automated meter data analysis. The system combines both strong central data processing, including access and tools for further analysis, with an automated energy management system addressing both human and system elements of waste. For estates teams already stretched by operational demands, the ability to surface problems automatically, and quantify the associated cost and carbon impact, makes it far easier to focus on the issues that matter most.

What Optimal Monitoring Will Deliver

Optimal Monitoring will work with the Trust to deliver:

• Detailed analysis of HH data for power & gas

• Inclusion of comparative data such as temperature

• A quick and easy way to access data from all measured points across the estate

• YoY analysis for sites to derive annual trust-wide saving opportunity

This structured approach ensures the Trust will not only identify waste but understand the financial and carbon value of addressing it. Year-on-year analysis will also support strategic planning by showing where savings have been delivered, where further investment could have impact, and how different sites compare in their operational performance.

Targeting £75k+ in Annual, No-Capex Savings

The Trust’s target is ambitious but achievable: more than £75,000 in annual savings, delivered with little to no capital investment. With energy costs remaining volatile and sustainability targets becoming increasingly demanding, this level of recurring saving represents a significant contribution to the Trust’s long-term objectives. These savings will be underpinned by a unified data model that simplifies access to information, improves reporting, and supports better-informed decisions.

By combining live data with automated alerts, EMMA AI will help the Trust cut unnecessary consumption, improve efficiency, and reduce avoidable waste. The platform highlights operational anomalies, detects equipment running outside expected patterns, and provides clear, actionable guidance that allows the estates team to intervene early.

Expanding Coverage Under the Greener NHS Initiative

Further to this initial work Lincolnshire Partnership NHS Foundation Trust are now looking to extend coverage and sub-metering to multiple additional sites as part of the Greener NHS initiative. This expansion will enable even greater granularity, ensuring that energy use can be tracked, compared, and optimised across a broader range of buildings. As more sites come online, the Trust will benefit from a richer dataset, stronger benchmarking, and a consistent operating model that can be scaled as required.

Building a Long-Term Energy Management Framework

With EMMA AI in place, Lincolnshire Partnership NHS Foundation Trust is putting the foundations in place for long-term, technology-enabled energy management. The combination of consolidated data, automated analysis, and continuous performance insight will give the Trust a clear line of sight across its estate — supporting both immediate financial savings and long-term sustainability goals.