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Ministry of JusticeKier GroupLegacy Custodial EstatePhase 1 Baselining

HMP Elmley Phase 1

Bringing a legacy custodial building up to speed for AI augmentation — establishing data connectivity, validating metering and creating the foundation for future optimisation.

Lead Contractor

Kier Group

Environment

Legacy UK Custodial

FD Role

Phase 1 Baselining

Platform

Digital Building Platform

Identified Savings Opportunity (post-remediation)

35–45%

Fan electricity reduction

15–25%

Associated heating demand reduction

Up to 70%

Non-residential fan savings potential

Phase 1

Foundation stage complete

Future Decisions supported a Ministry of Justice / Kier Group project at HMP Elmley, with Kier Group acting as lead contractor. The project focused on Phase 1 baselining: establishing reliable data links, reviewing the condition of key building systems, improving environmental monitoring, and identifying the work required to bring the building up to the standard needed for future AI augmentation.

This was not simply an energy-saving exercise. It was about understanding whether the building had the data quality, metering, control capability, connectivity and operational stability required to benefit from the type of energy optimisation already demonstrated through Future Decisions' work at HMP Five Wells.

Project Context

HMP Elmley represents the type of older custodial building where meaningful optimisation cannot begin until the fundamentals are in place. Unlike newer buildings, legacy assets often suffer from inconsistent documentation, ageing controls, unreliable metering, missing sensors and systems that have been altered over time.

Future Decisions worked within the wider Ministry of Justice / Kier Group delivery environment to assess House Block 2 and establish what was needed to prepare the building for future performance improvement.

The work covered:

BMS data connection
Independent environmental monitoring
LoRaWAN sensor deployment
Metering review
Ventilation analysis
Thermal comfort monitoring
Data validation
Automated reporting
Operational fault identification
AI-readiness assessment

The Challenge

Energy savings cannot be proven without a baseline. AI optimisation cannot work without reliable data.

At HMP Elmley, the first challenge was not to optimise the building immediately, but to understand whether the building systems were capable of supporting optimisation at all. The project needed to answer practical questions:

Is the BMS data reliable?
Are the utility meters working correctly?
Is there enough environmental sensing?
Are ventilation systems operating as expected?
Can comfort and air quality be measured properly?
Are the building systems in good enough order for optimisation?
What remedial work is needed before AI augmentation can be deployed?
Can the building benefit from the energy-saving approach proven elsewhere?

Future Decisions' Role

Future Decisions provided the digital building, baselining and operational intelligence layer for the project. Using the Future Decisions Digital Building Platform, data from the building was collected, reviewed, validated and analysed to establish the current operational state of the building.

Connecting legacy BMS data
Deploying independent LoRaWAN sensors
Capturing temperature, humidity, CO₂ and pressure data
Reviewing utility metering
Assessing ventilation performance
Reviewing comfort and air-quality conditions
Identifying missing or unreliable data
Validating data quality
Creating automated reporting capability
Identifying operational risks
Setting out next steps for AI augmentation

Why Phase 1 Matters

Phase 1 is the foundation stage. It is where the building is brought up to speed before deeper energy optimisation or AI control is introduced.

Without Phase 1, clients risk making investment decisions based on incomplete data, assumptions or supplier claims. Future Decisions uses Phase 1 to establish:

What data exists
What data is missing
What data can be trusted
Which systems are operating correctly
Which systems need remediation
Whether meters and sensors are reliable
Whether the building can be baselined
Whether future AI augmentation is technically viable

This is the practical route from legacy building operation to intelligent, evidence-led control.

Building the Data Foundation

A reliable baseline requires more than a connection to the BMS. It requires validated metering, environmental sensors, good connectivity, clear system mapping and enough historical data to understand behaviour over time.

At Elmley, Future Decisions established independent environmental monitoring using LoRaWAN sensors operating separately from the incumbent BMS, providing continuous visibility of temperature, humidity, CO₂ and pressure. This was important because older buildings often lack the sensor coverage needed to understand comfort, ventilation and efficiency properly.

Independent monitoring allowed Future Decisions to assess the building from outside the limitations of the existing control system — providing an objective view of real conditions.

BMS Connectivity and Security

Future Decisions established a read-only BMS data connection to support cloud-based monitoring and reporting — allowing operational data to be captured without interfering with the incumbent BMS. The connection supported monitoring of:

Schedules
Setpoints
Equipment states
Ventilation behaviour
Environmental conditions
Available metering points
Control-system behaviour

This approach allows the building to be assessed safely while preserving separation from existing operational control, and creates the foundation for future AI augmentation where trusted data can support predictive and demand-led control strategies.

Data Quality and Validation

A key part of the project was understanding whether the data could be trusted. Future Decisions reviewed the quality of data coming from the BMS, meters and independent sensors, checking for:

Missing data
Static readings
Unreliable points
Incorrect units
Communication issues
Inconsistent naming
Poor data integrity
Out-of-range sensors

Why data quality matters

AI models, automated reports and performance baselines all depend on data quality. If the data is wrong, the conclusions will be wrong. Future Decisions' validation process helps clients understand what is reliable, what needs correction and what must be improved before optimisation begins.

Metering and Baseline Readiness

Metering is the foundation of energy baselining. At Elmley, Future Decisions identified that metering needed significant attention before energy savings could be properly proven or tracked.

Before any organisation commits to major capex or energy-saving works, it needs confidence that consumption can be measured accurately. Future Decisions helped identify the need for:

Working utility meters
Reliable gas, water and electricity data
Correct pulse counting
Submetering of key energy consumers
Validation between meter outputs and reported data
Continuous remote monitoring
Reliable baseline creation

Ventilation and AI-Readiness

Ventilation was a major focus of the Elmley Phase 1 work. The analysis showed that improved monitoring and control could create a significant future savings opportunity once the building was brought into good operational order.

35–45%

Reduction in fan electricity use through improved ventilation control

15–25%

Reduction in associated heating demand

Up to 70%

Savings potential for some non-residential fan systems

Phase 1

Remediation required before these savings can be realised

These figures show the opportunity. But the key point is that these savings require the building to be made ready first — restoring reliable metering, fixing defective plant, improving control capability and establishing a validated baseline.

Learning from HMP Five Wells

Future Decisions' work at HMP Five Wells demonstrated how building data, sensor uplift, BMS integration and operational analysis can identify meaningful savings across heating, ventilation, lighting and water systems.

Elmley Phase 1 was about preparing an older building to benefit from the same kind of approach. Five Wells showed what is possible when a building has sufficient data quality, control visibility and operational structure. Elmley showed the practical reality of legacy estates: before AI augmentation can deliver savings, the building must first be made ready.

We do not simply apply AI to poor data. We identify what must be fixed, validated and baselined so AI augmentation can work properly.

Comfort and Compliance

Energy optimisation must not come at the expense of comfort, health or compliance. Future Decisions assessed environmental performance using temperature, humidity and CO₂ data to better understand indoor conditions, helping identify:

Comfort risks
Ventilation effectiveness
Overheating risk
Cold-condition risk
Air-quality performance
Sensor coverage gaps
Need for demand-led operation

Automated Reporting

The Future Decisions Digital Building Platform provided a route to automated reporting and consistent visibility across the building, covering raw data points, sensor status, data quality, meter reports, environmental conditions, ventilation behaviour, comfort analysis, asset-level data and trends over time.

Automated reporting reduces the burden on facilities teams and sustainability teams. Instead of manually collecting and interpreting fragmented data, stakeholders can access structured information in one place — supporting better operational decisions and better long-term estate management.

Documentation and Asset Understanding

Elmley also highlighted a common issue in older buildings: the gap between the physical building, available documentation and live operational data. Future Decisions helped reconstruct operational understanding by combining site review, BMS data, sensor deployment, asset mapping, environmental readings and platform-based reporting.

Good documentation and asset understanding are not admin exercises. They directly affect cost, maintenance quality, operational risk and AI readiness.

Bringing the Building Up to Speed

The key purpose of the Elmley project was to identify what was needed to bring the building up to speed. Future Decisions identified that future optimisation would depend on improvements such as:

Restoring reliable utility metering
Improving submetering of key energy consumers
Repairing or replacing defective ventilation components
Improving the BMS network and control reliability
Adding variable speed drives to suitable fans
Improving sensor coverage
Maintaining continuous data collection
Validating the building baseline
Preparing the building for demand-led and AI-assisted operation

Preparing for AI Augmentation

AI augmentation requires good data, reliable systems and a trusted baseline. Future Decisions helps buildings move through that journey step by step. Once the necessary remediation and metering improvements are complete, AI augmentation can help the building:

Learn normal operating patterns
Predict demand before it occurs
Adapt ventilation to real conditions
Reduce unnecessary fan and heating energy
Support comfort-aware control
Respond to weather and seasonal variation
Identify faults earlier
Improve reporting and decision-making
Continuously refine performance

Future Decisions does not require the existing BMS to be ripped out. We augment existing building systems and improve them with better data, better analysis and smarter control logic.

Supporting Capex Decisions

Elmley Phase 1 also provides an evidence base for capital expenditure decisions. Before investing in plant replacement, control upgrades, metering, new sensors or ventilation improvements, stakeholders need to know where investment will deliver the greatest value. Future Decisions helps answer:

Is the building worth upgrading?
Which systems need urgent remediation?
Which interventions unlock the greatest future savings?
Is the current control system fit for purpose?
Are meters and sensors reliable enough?
Can the building support AI augmentation?
What work is required before savings can be verified?
How does the building compare with newer estate assets?

Value Delivered

The HMP Elmley Phase 1 project demonstrates how Future Decisions helps older buildings move toward intelligent operation. The work created value by:

Establishing building data connectivity
Deploying independent environmental monitoring
Identifying metering and data quality gaps
Reviewing BMS reliability
Highlighting operational risks
Assessing ventilation and comfort performance
Identifying future savings opportunities
Creating a baseline pathway
Supporting future capex decisions
Preparing the building for AI augmentation

Conclusion

The Ministry of Justice / Kier Group — HMP Elmley Phase 1 project shows how Future Decisions helps legacy buildings prepare for intelligent, AI-led optimisation. Working within a major public sector estate environment, with Kier Group as lead contractor, Future Decisions used BMS integration, independent sensor deployment, metering review, environmental monitoring and operational analysis to establish what was required to bring the building up to speed.

The project demonstrated that meaningful energy savings do not start with guesswork or generic recommendations. They start with reliable data, good-order operation, validated metering and a proper baseline.

Future Decisions helps organisations prepare buildings for the next stage of performance — enabling AI augmentation, supporting smarter capex decisions and unlocking the type of energy-saving opportunity already seen in projects such as HMP Five Wells.

Case Study Summary

Project

Ministry of Justice / Kier Group — HMP Elmley Phase 1

Lead Contractor

Kier Group

Environment

Legacy UK custodial estate

Future Decisions Role

Phase 1 baselining, BMS integration, independent monitoring, data validation and AI-readiness assessment

Systems Reviewed

BMS, metering, ventilation, heating, environmental sensors, comfort conditions and building data connectivity

Primary Focus

Bringing the building up to speed for AI augmentation

Key Outcomes

Data foundation created, metering gaps identified, ventilation opportunity identified, comfort monitoring improved, capex roadmap supported and AI-readiness pathway defined

Future Pathway

Remediate key systems, complete metering baseline, validate performance and move toward AI-assisted optimisation

Platform

Future Decisions Digital Building Platform