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Modelling and Simulation
Models and simulators are vital to identifying optimised solutions. We use marketed software and develop bespoke models, software and database solutions for Clients where suitable products are not available on the market.Systems Optimisation
Model
Whole life cost-benefit analysis model, to optimise the whole life investment
and asset management of train systems and station systems. It produces business
cases, generates cashflows, and performs statistical and risk analysis. Cogitare
Energy and Run-Time
Optimisation Model
Integrated model with the Systems Optimisation Model, to optimise the energy
consumption and the run-times for alternative metro and railway upgrade solutions.
It produces the whole-life energy, power infrastructure, and tunnel cooling
cost, and the journey time benefits to customers. Cogitare
Energy Consumption
& Power Demand model
Model to forecast the annual energy consumption and required substation upgrades
for alternative line upgrade solutions, using the output from single or multi-train
simulation. Cogitare
ASD, Single-Train Simulator
software package (www.loopo.co.uk/portfolio/london-underground-train-simulator.html)
Software package developed with our partners, Loopo, to perform single-train
simulation studies in order to determine journey times and energy consumed
for traction for the London Underground lines. Cogitare
/ Loopo ![]()
Traction and braking
train characteristics Design Tool
Tool to assess, design and optimise the traction and braking characteristics
for a new or an existing train, in order to maximise performance and energy
efficiency. Cogitare
@RISK, Risk Analysis
software package (www.palisade.com)
Commercial Risk Analysis software package, to perform risk analysis within
any financial or engineering model. Palisade
Bespoke risk analysis
and optimisation functionality within our models
In our models and tools we embed risk analysis and optimisation functionality,
either as a VBA macro or a @RISK model. Cogitare
Failure rate statistical
toolkit
Translates equipment failure rates into a likely range of costs and performance
impacts. It also provides a statistical toolkit to explain the relevance of
the outputs to aid making informed decisions. Cogitare
Availability model
Whole Life Asset Management tool capable of forecasting the costs or benefits
of infrastructure and maintenance decisions, investment decisions, and the
impact of different incentivisation regimes. It maintains its accuracy by
monitoring real data, and risk is modelled through integrated Monte Carlo
and other statistical tools, facilitating basic to expert level analysis.
Cogitare