Diagnostic frameworks, tested screening tools, research reconstructions and scientific hypotheses are labelled separately.
Scientific evidence · Engineering interpretation · Decision value
Selected Work and Engineering Case Studies
A focused selection of public and non-confidential work showing how scientific concepts, modelling tools, reproducible calculations and engineering frameworks can support process diagnosis, validation planning, technology assessment, process development and scale-up decisions.
How to read this page
Each case is presented according to its evidence maturity and decision relevance
The purpose is not to display every archived file or historical calculation. Selected materials are reconstructed, documented and interpreted according to technical integrity, ownership, validation status, transferability and usefulness for scientific or engineering decisions.
Each case identifies the technical question, the contribution and the decision or development activity it can support.
Authorship, ownership, licensing, employer rights and confidentiality are reviewed before material is published.
Public examples demonstrate methods and reasoning; they do not replace representative validation or site-specific engineering.
Current public case studies
Examples across reaction engineering, water treatment, thermochemical conversion and combustion science
The cases have different maturity levels and provide different forms of value. Their status labels are part of the technical interpretation and are not interchangeable validation claims.
Reaction engineering · Fuels and gas processing
Engineering diagnostic framework
Desulfurization Reaction–Transport Regimes
A structured framework for distinguishing intrinsic chemistry from mass-transfer, diffusion, adsorption, hydrodynamic and downstream-separation limitations in sulfur-removal systems.
Technical question
Which mechanism actually controls process performance, and does a proposed intensification method address that bottleneck?
Contribution
- Reaction–transport regime classification
- Bottleneck-oriented interpretation
- Energy-normalized intensification perspective
- Validation and scale-up questions
Decision value
Supports experimental design, process comparison, claims assessment and selection of chemical, transport, separation or equipment interventions.
Wastewater treatment · Advanced oxidation
Tested screening framework
AOP Kinetic Process Framework
A Python framework for interpreting hydroxyl-radical competition, water-matrix scavenging, apparent kinetics, treatment time and selected process-level indicators.
Technical question
How strongly do background water constituents compete for radicals, and what does that imply for apparent pollutant removal?
Contribution
- Matrix-scavenging calculations
- Radical-utilization fractions
- Apparent kinetic and treatment-time estimates
- Carbonate and alkalinity utilities
- Automated software tests
Decision value
Supports matrix characterization, scenario comparison, interpretation of apparent AOP performance and preparation of laboratory or pilot validation programmes.
Biomass · Biochar · Thermochemical conversion
Research reconstruction
Biochar and Biomass Process Modeling
A reconstruction-oriented repository containing a simplified Cantera-based biomass-conversion mechanism, curated simulation cases and explicit model-consistency and validation guidance.
Technical question
Which qualitative trends in archived simulations remain useful, and what must be resolved before the model can support design or scale-up?
Contribution
- Cantera-compatible mechanism and examples
- Curated moisture, temperature and atmosphere cases
- Explicit temperature-unit warning
- Model-consistency and validation plan
- Responsible carbon-management boundaries
Decision value
Demonstrates how legacy scientific material can become a transparent, auditable development foundation before model complexity or industrial claims are increased.
Combustion science · Nanoparticle inception
Scientific hypothesis
NDMS Persistence–Stabilization Closure
A scientific hypothesis and executable conceptual model examining whether transient precursor association, persistence and stabilization can bridge molecular chemistry and persistent particle inception.
Scientific question
How might reversible precursor association progress toward the first persistent particles without assuming a universal inception mechanism?
Contribution
- Explicit association and dissociation terms
- Non-stabilizing loss pathways
- Bounded stabilization probability
- Executable zero-dimensional demonstration
- Testable validation questions
Scientific value
Provides a structured and falsifiable basis for comparing persistence and stabilization pathways while keeping the hypothesis separate from established mechanisms.
Controlled development programme
Kinetic Intelligence: mechanism analysis and adaptive chemistry
Historical mechanism-analysis, reaction-network, reduction and adaptive-chemistry methods are being re-derived and rebuilt as a modern Python and Cantera framework.
The programme remains under controlled reconstruction and benchmark validation. It is not presented as a validated public software product.
Public release will follow only after reactor-restart controls,
conservative state transfer, mechanism switching and selected
methane benchmarks have been executed, documented and reviewed
reproducibly.
Planned technical modules
- Mechanism audit and provenance
- Reaction-rate and flux analysis
- Sensitivity and kinetic-control diagnostics
- Chemical reaction-network analysis
- Static and adaptive mechanism reduction
- Conservative state transfer
- Validation and applicability reporting
Practical engineering use
How the demonstrated methods can support real decisions
Public frameworks are not substitutes for confidential, site-specific engineering. They demonstrate reasoning methods, technical questions and quality controls that can be adapted to suitable projects.
Bottleneck diagnosis
Separate reaction, transport, hydrodynamic, separation and operating constraints before selecting an intervention.
Model selection
Determine whether screening calculations, detailed kinetics, reactor simulation or CFD are justified by the decision and available evidence.
Validation planning
Define measurements, controls, representative conditions and acceptance criteria required to test a technical claim.
Technology assessment
Test whether a proposed technology addresses the governing mechanism and creates net value after energy, chemicals, reliability and downstream burdens.
Scale-up risk
Identify changes in residence time, mixing, heat transfer, transport, operability, materials and control that may prevent laboratory performance from transferring.
Technical communication
Translate complex findings into explicit assumptions, evidence boundaries, decision criteria and development actions.
Role within the professional ecosystem
Public evidence here; defined professional engagement through appropriate channels
This website documents selected methods, publications, reproducible resources and non-confidential case-study reasoning. It is the scientific and engineering evidence layer of the wider professional ecosystem.
A separate client-facing consulting platform may later present defined services, deliverables and engagement models without duplicating the technical resources published here.
Confidential project information, employer-owned material, proprietary operating data and unverified claims are not used as public marketing content. Relevant leadership, specialist, advisory and collaborative discussions can be initiated through the Professional Engagement section.