Thermal efficiency improvements through DOE-optimised combustion and heat recovery parameters.
NOx and CO₂ emission reductions achieved through simulation-led burner and combustion chamber design.
Simulation model accuracy validated against field data for confident engineering and investment decisions.
Energy & Power
Research & Development
Energy sector R&D spans combustion optimisation, heat recovery system development, renewable integration, and emissions reduction — all requiring validated performance data before multi-million pound capital commitments. EnerTherm Engineering delivers the simulation, DOE, and prototyping capability to de-risk energy technology investments.
R&D Challenges in
Energy & Power
High capital costs, strict emissions targets, and complex thermodynamics drive energy sector R&D requirements.
Combustion & Emissions
Optimising fuel-air ratios, burner geometry, and chamber design to maximise thermal efficiency while meeting increasingly stringent NOx, SOx, and particulate emissions limits.
Heat Recovery Systems
Waste heat recovery from flue gas, cooling water, and process streams requires techno-economic feasibility assessment and equipment prototyping to validate performance claims.
Renewable Integration
Integrating biomass, hydrogen, or solar thermal into existing energy systems requires R&D to characterise fuel properties, optimise process parameters, and validate hybrid system performance.
High Capital Risk
Energy equipment investments often exceed £1M. Feasibility studies, simulation, and pilot-scale testing are essential to de-risk decisions and satisfy investor due diligence requirements.
Our 6-Step
R&D Framework
A systematic R&D methodology from discovery through experimental design, simulation, prototyping, and production-ready validation.
Discovery & Scoping
Collaborate with stakeholders to define research objectives, success criteria, and the technical boundaries of the investigation.
Through structured workshops and technical reviews, we translate business challenges into research questions with quantifiable targets. We identify existing knowledge gaps, review prior art and published literature, and define the experimental or analytical approach that will yield actionable answers within budget and timeline constraints.
Experimental Design
Plan rigorous experiments using statistical methods to maximise information gained per test run while minimising cost and time.
We apply Design of Experiments (DOE) methodology — factorial, fractional factorial, and response surface designs — to systematically explore the design space. Each experiment is planned with randomisation, replication, and blocking strategies that ensure statistically valid conclusions and protect against systematic bias.
Simulation & Modelling
Deploy CFD, FEA, and thermodynamic models to predict performance and narrow the experimental matrix before physical testing.
High-fidelity simulations sweep critical process variables — temperature, pressure, flow rate, geometry — to identify the most promising design candidates. Virtual prototyping typically reduces physical test cycles by 40-60%, saving significant material and time costs while accelerating the path to a validated solution.
Prototyping & Testing
Build and test physical prototypes under controlled conditions, benchmarking real-world results against simulation predictions.
Each prototype undergoes structured test protocols measuring thermal performance, mechanical integrity, and process efficiency across a matrix of operating conditions. Deviations between simulated and measured performance are systematically analysed, feeding directly into targeted design refinements.
Analysis & Optimisation
Consolidate simulation, sensor data, and test observations to validate assumptions and optimise the final design.
Statistical analysis, AI/ML pattern recognition, and response surface methodology are applied to extract actionable insights from the data. Multi-objective optimisation balances competing performance targets — cost vs. efficiency, weight vs. durability — to converge on the best overall solution.
Validation & Scale-Up
Confirm results through confirmation runs, produce production-ready documentation, and support the transition from R&D to industrial deployment.
Final validation ensures performance meets all agreed criteria under realistic operating conditions. We deliver complete technical packages — process specifications, CAD models, control guidelines, and risk assessments — so the solution transitions seamlessly from laboratory or pilot scale to full production.
What You
Receive
Energy sector R&D deliverables supporting investment decisions and regulatory compliance.
Techno-Economic Feasibility
Comprehensive assessment covering thermodynamic analysis, capital and operating cost modelling, ROI projections, and sensitivity analysis for energy technology investments.
Combustion DOE Study
Statistical optimisation of burner parameters (fuel-air ratio, swirl number, staging) with validated emissions and efficiency performance maps.
CFD Simulation Package
Validated combustion, heat transfer, and flow models predicting equipment performance across load range, fuel variations, and ambient conditions.
Pilot-Scale Test Campaign
Physical testing at pilot or demonstration scale with instrumented performance measurement and comparison to simulation predictions.
Equipment Design Package
Burner, heat exchanger, or thermal oxidiser specifications derived from validated R&D data, ready for detailed engineering and procurement.
Regulatory & Grant Support
Technical documentation supporting environmental permit applications, emissions compliance evidence, and innovation grant submissions.
Proven Results in
Energy & Power
Based on R&D projects across combustion systems, waste heat recovery, and renewable energy integration.
Energy & Power
R&D FAQ
Common questions about research and development for energy and power generation applications.
CFD simulation models the complex interaction of fuel injection, air mixing, flame structure, and heat transfer within combustion chambers. This enables virtual optimisation of burner geometry and operating parameters before costly physical builds, typically reducing prototype iterations by 50% or more.
Yes — hydrogen combustion introduces different flame speeds, radiation characteristics, and NOx formation mechanisms. Our R&D programme characterises these properties through simulation and testing, then optimises burner and chamber design for hydrogen or hydrogen-blend fuels.
We support R&D from bench-scale combustion rigs through pilot-scale thermal systems up to 5 MW. For larger systems, we use validated simulation models to predict full-scale performance from pilot data with 95%+ accuracy.
Yes — our feasibility studies and technical reports are regularly used to support Innovate UK, BEIS, and EU Horizon grant applications. We provide the techno-economic analysis and technical evidence that funding bodies require.
Ready to
Innovate?
Our energy R&D team delivers simulation, DOE, and pilot-scale testing for combustion, heat recovery, and renewable energy technology development.
- Integrated DOE, feasibility, and prototyping
- Energy & Power-specific R&D methodology
- Simulation-led development with physical validation