Services
Services are designed to provide robust decision support with explicit assumptions, reproducible results, and traceable documentation. Engagements can be short expert interventions or longer deliveries with verification and quality assurance.
Technical domains
Examples of what can be sized, analysed, and simulated.
- Thermal-hydraulics & process systems: heat exchangers, condensers, pumps, valves, piping networks, pressure drops, flow distribution, transients, operational upsets.
- Mechanical components & systems: component interfaces, load cases, functional requirements, tolerances/assumptions for calculations, and input to sizing and robustness assessments.
- Electrical power, drives & auxiliaries: motors, power supply (normal/backup), load cases, auxiliary systems, functional dependencies.
- Control & instrumentation: control logic, interlocks, setpoints, limitations, and linkage to operator interfaces in simulator setups.
- Safety & design analyses: conservative cases, sensitivity studies, uncertainties, and model verification/validation.
- Drawings & visualisation: system sketches, flow diagrams, block diagrams, model overviews, and 3D visualisation / lightweight CAD deliverables (e.g. FreeCAD) for reporting, communication and training.
Tools and platforms
Sizing and safety analyses can be performed using established tools such as RELAP5-3D, TRACE or APROS (client-provided licences when commercial tools are required), as well as open-source alternatives where appropriate.
Work can also be performed directly in the client’s simulation environment, e.g. SimExec, 3KeyMaster and Orchid — platforms used to develop and operate full-scope simulators.
Simulation & modeling
Modeling of dynamic systems, transient simulation, parameter studies, and scenario analysis — aimed at understanding, comparing options, and supporting technical decisions.
Safety & risk analysis
Support in analysis methodology, assumption management, plausibility checks, sensitivity analysis, and documentation tailored for technical review.
Risk evaluation and methods: risk evaluation can be performed using established tools such as RiskSpectrum (client-provided licence where required) and methods such as FMEA, event/fault trees, barrier analysis, and structured scenario/sensitivity studies.
Engineering calculations
Calculation support, sizing checks, verification calculations, and technical summaries with traceability, units, and transparent inputs.
Automation
Structuring and automating runs, report generation, and analysis pipelines to reduce manual work and improve reproducibility.
When is this a good fit?
- You need review-ready decision support with explicit assumptions and methods.
- You deal with dynamic behavior (transients) where intuition is insufficient.
- You want to compare alternatives (parameters, operating strategies, design choices).
- You want to shorten lead time by automating runs and reporting.
- You need reusable calculation packages that can be maintained internally.
Typical inputs
You can start with what you have. Examples of helpful inputs:
- Problem statement and how the result will be used
- System description (diagrams/drawings, functional description, boundaries)
- Operating data or logs (if available)
- Parameters, assumptions, and reference cases
- Preferred delivery format (report, appendices, calculation package, workshop)
If inputs are incomplete, the work can be split into: scoping → baseline → analysis → delivery.
Typical applications
Engagements vary in scope and complexity, but often fall into these categories:
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Dynamic analyses for decision support
Modeling and simulation of system behavior during operating changes, transients, or off-normal scenarios. -
Model development and verification
Creating or improving models, including verification, plausibility checks, and documentation for review. -
Automation of analysis pipelines
Automating calculations, runs, and result reporting to reduce manual work and increase consistency. -
Training and instructor support
Technical material, example models, and structured scenarios for training and competence development.
Each engagement is tailored to goals, available data, schedule, and required level of verification and documentation.
What to expect in a delivery
- Clear scope: goals, boundaries, and delivery format are defined early.
- Explicit assumptions: inputs, simplifications, and method choices are transparent.
- Reproducibility: results can be followed, repeated, and reviewed.
- Traceable documentation: reports and appendices are structured for review.
- Practical focus: outputs should be usable in decisions, discussions, and further work.
Deliveries can include reproducible calculation packages (e.g., scripts/notebooks) when appropriate.
Delivery formats
- Technical report (PDF/DOCX) with appendices, tables, and figures
- Calculation packages (e.g., Excel/VBA, Python/Jupyter, Modelica/OpenModelica) for reproducibility
- Presentation/workshop material when needed
For more on method and quality assurance, see Approach.
Start a dialogue
Send a short description of goals, available inputs, and preferred delivery format, and you will receive a suggested scope and plan.