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Thermochemical Process Development: From Mechanism to Scale-Up and Industrial Adoption

Alternative title: A Technical Framework for Sustainable Industrial Transformation

Author: Dr. Ahmad Saylam

Document type: Open technical paper

Publication date:

Technical status: Integrative process-development methodology. It supports structured problem definition, model selection, validation planning, pilot definition, scale-up assessment and engineering decisions, but it is not a universal predictive model, a validated process design method for every thermochemical system, a final process design or an industrial performance guarantee.

DOI: 10.5281/zenodo.20760609

Zenodo record: https://zenodo.org/records/20760609

Scope

The paper presents a technical methodology for connecting thermochemical mechanisms, transport phenomena, model development, representative experimental evidence, pilot development, flowsheet integration, scale-up evidence and industrial adoption decisions. These stages are connected through evidence gates rather than assumed to progress automatically from laboratory results to industrial use.

Abstract

Sustainable industrial transformation is often presented through large system goals: hydrogen, circular economy, waste-to-X, electrification, carbon management and net-zero manufacturing. In practice, these goals become industrially meaningful only when physical-chemical and thermochemical processes can operate reliably under variable feedstocks, strict emission limits, changing energy prices, product-quality requirements, safety constraints and real plant-integration conditions.

This article treats thermochemical knowledge as an enabling technical foundation because it connects feedstock chemistry, reaction pathways, heat and mass transfer, reactor behaviour, gas cleaning, emissions control, product specification, process integration and scale-up evidence.

The article covers combustion, pyrolysis, gasification, reforming, biochar production, syngas generation, hydrogen-related systems, waste valorization and carbon-management pathways. It proposes an evidence-gated development logic built on problem definition, feedstock-envelope qualification, product-intent definition, controlling-phenomena analysis, fit-for-purpose modelling, uncertainty reduction, representative experimental validation, decision-quality piloting and disciplined scale-up. The required evidence and model fidelity remain system- and decision-specific.

The central message is that transformation technologies should not be judged by attractive labels or isolated laboratory effects, but by operating windows supported by representative evidence and by complete flowsheet consequences. Within the proposed decision logic, progression toward industrial use requires a positive and sufficiently robust benefit relative to an appropriate reference case after energy demand, emissions, separation burden, maintenance, reliability, uncertainty, product specification and implementation constraints are considered.

Evidence and application boundary

The methodology is intended for technical structuring, early-stage assessment, development planning, model selection, experiment and pilot definition, integration analysis and scale-up risk review. It is a decision-support structure rather than a substitute for system-specific process development.

Application to a specific technology requires a defined feedstock envelope and product specification, representative experiments, models validated for the intended decision and operating domain, closed and auditable material and energy balances, emissions and separation assessment, operability and process-safety review, durability evidence and an appropriate techno-economic evaluation. Evidence from one feedstock, reactor scale or operating regime should not be transferred to another without an explicit applicability assessment.

Relation to modelling frameworks

This paper is a cross-domain process-development methodology. It does not replace domain-specific modelling frameworks, mechanisms, datasets or validation packages. For example, a pyrolysis model may support one part of the evidence chain, but its scientific scope, qualified feedstocks, reactor assumptions and validation status must remain controlled independently from this broader methodology.

Model verification, source-model reproduction, calibration, independent transfer testing and experimental validation are distinct evidence states and should not be treated as interchangeable.

Full text

A lawful local copy of the open technical paper is available for direct browser reading: View PDF .

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License

The deposited work is available under the Creative Commons Attribution 4.0 International licence .

Recommended citation

Saylam, A. (2026). Thermochemical Process Development: From Mechanism to Scale-Up and Industrial Adoption. Zenodo. https://doi.org/10.5281/zenodo.20760609