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Operational Energy Modelling
Using real-world data to predict energy performance, reduce costs and future-proof your built assets.
What is Operational Energy Modelling (OEM)?
A More Precise Approach to Predicting a Building’s Energy Performance
Operational Energy Modelling (OEM) service is a data-driven approach to predicting and optimising a building’s energy performance during its operational phase.
Unlike traditional energy assessments that rely on theoretical assumptions, OEM is based on real-world data, including energy bills, meter readings, and usage patterns.
Unlike traditional energy assessments that rely on theoretical assumptions, OEM is based on real-world data, including energy bills, meter readings, and usage patterns.
Components of a Building Energy Model
- Detailed Geometry, Location and Orientation
- Operational Profiles
- Energy Generation
- HVAC System and Outdoor Air Ventilation
- Internal Gains
- Envelope Performance
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How is OEM different from BER?
Many believe that a Building Energy Rating (BER) is enough for energy planning. However, these assessments are based on static assumptions, not real-world performance.
Our OEM takes energy evaluation further by:
- • Using real operational data rather than theoretical estimates: factoring in occupancy patterns, HVAC loads and operational schedules to refine energy strategies
- • Providing continuous insights, rather than a one-off rating
- • Enabling scenario testing, so design and engineering teams can model the impact of operational changes before implementation
- While traditional assessments offer a baseline expectation, OEM delivers science-backed predictability, better control, and the ability to optimise energy performance throughout a building’s use.
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Post Occupancy Evaluation (POE)
Post Occupancy Evaluation - also known as in-use building performance evaluation (BPE) - should be carried out wherever possible. It provides project teams with valuable insight into what has worked well, what hasn’t, and why.
These learnings can then inform future projects and help improve outcomes over time.
These learnings can then inform future projects and help improve outcomes over time.
Identifying underperforming elements allows for diagnosis and remediation, supporting ongoing optimisation of the building.
While this report focuses specifically on energy
performance, a comprehensive POE should assess
all aspects of in-use performance:
While this report focuses specifically on energy
performance, a comprehensive POE should assess
all aspects of in-use performance:
- ✔ Occupant feedback
- ✔ Operational conditions
- ✔ Indoor environmental quality
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What are the benefits of OEM to Built Environment Stakeholders?
Operational Energy Modelling provides benefits to investors, developers, facility managers, designers, project delivery team members and decision-makers by providing the data-driven insights needed to reduce costs, improve efficiency, and meet sustainability targets.
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Ensure that real estate investments meet ESG commitments and net-zero carbon targets, avoiding risks associated with underperforming assets
Test and refine design-stage decisions, ensuring that efficiency measures translate into real-world performance rather than just theoretical projections
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Identify hidden inefficiencies, forecast energy costs over a 5–10-year period, and make informed adjustments that reduce operational expenses
Provide accurate cost analyses, helping clients understand the long-term financial impact of energy decisions
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Optimised energy performance, lower utility costs, and a more comfortable environment
Supports sustainability frameworks like LEED, BREEAM, NABERS, and the EU Energy Performance of Buildings Directive (EPBD)
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Case Study 1:
When our client sought to minimise its operational carbon footprint at its Dublin headquarters, they leveraged OEM to achieve real energy reductions. By analysing actual building performance metrics, we helped optimise energy use, reduce waste, and align operations with long-term sustainability goals.
This project demonstrates how our OEM transforms sustainability targets into actionable, science-based solutions.
This project demonstrates how our OEM transforms sustainability targets into actionable, science-based solutions.
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Case Study 2:
Metec applied our OEM to evaluate real usage patterns, uncover inefficiencies, and provide actionable insights. The result? Optimised energy performance, lower operational costs and a more sustainable building.
Case Study 3:
Luxury and sustainability go hand in hand at high-end hotels, where Metec’s expertise helped enhance energy efficiency without sacrificing the guest experience.
Using our OEM, we identified opportunities to reduce energy consumption resulting in a smarter, more efficient hotel that continues to deliver premium comfort with a lower environmental impact.
Using our OEM, we identified opportunities to reduce energy consumption resulting in a smarter, more efficient hotel that continues to deliver premium comfort with a lower environmental impact.
OEM for Data Centres and Life Sciences Facilities
Data centres and life sciences facilities are some of the most energy-intensive environments, requiring high performance and energy efficiency. Given their high energy demands, these sectors must balance performance with sustainability to address challenges such as peak energy loads, cooling inefficiencies, and resilience against power disruptions.
This is where OEM by Metec comes in. OEM enables these facilities to:
This is where OEM by Metec comes in. OEM enables these facilities to:
Optimise cooling and ventilation systems for energy savings.
Predict and manage peak energy demands.
Ensure resilience by simulating backup power strategies.
Validate the impact of renewable energy integration.
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