Industrial R&D lens · /industrial-rd

Energy and process modelling for cleaner industrial systems.

Strongest where energy engineering, modelling, optimisation and prototype tools meet. Read it as method-development evidence for industrial decision support under messy data, mixed technologies and decarbonisation constraints.

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Three proof lines

From a baseline, to a decision, to a tool

The three cases chain: understand what an industrial site consumes and why, choose between supply options, then package the logic so someone else can run it.

STAGE 1 · MAP

Industrial energy performance mapping

BOUNDARY

Electrical utilities and compressed air as industrial electrification pathways.

METHOD

KPI/EnPI design · load-driver logic · metering-gap assessment · deviation detection · regulatory comparison

RESIDUAL

Desk-based method development. No field implementation, commissioning or measured savings.

→ STAGE 2 · DECIDE

Multi-objective heat-source dispatch

BOUNDARY

CHP, heat pump, geothermal and storage, coupled to electricity price signals.

METHOD

Python · PuLP · stepwise MILP built from first principles · cost and emissions objectives

RESIDUAL

Scenario or prototype study; no live operational validation is claimed.

→ STAGE 3 · PACKAGE

Industrial energy KPI toolkit

BOUNDARY

Baseline normalisation, KPI reporting, anomaly flags and action tracking.

METHOD

Python · Streamlit · CLI · automated tests · PDF report generation · CI

RESIDUAL

Proof-of-concept tool, not a deployed plant system.

What the work shows

Four kinds of industrial R&D signal

Process and energy modelling

Energy balance, load-driver mapping, baseline normalisation, scenario modelling and technology comparison across electrical utilities, compressed air, heating and cooling.

Optimisation

Linear and mixed-integer dispatch models, objective-function design, constraint handling and cost-emissions trade-offs. Growth area: automatic control and MATLAB/Simulink.

Proof-of-concept tools

Reproducible tools with CLI interfaces, front ends, tests and reports, built for handover rather than one-off exploration.

Technical communication

Formal reports, regulatory comparison, documented assumptions and a clear route from model output to industrial action.

Open boundary

Where the work goes next

Industrial electrification beyond system-level energy modelling.

Electrothermal process heating, thermal storage, cooling integration, electrochemical process routes, control-oriented modelling and experimental validation. The current strength is structured modelling and tool-building; the best fit is an environment where that discipline meets advanced simulation and experimental facilities.