The Minimum Viable Pilot Plant ( <scp>MVPP</scp> ): A Lean Framework for De‐Risking Chemical Process Technologies

ABSTRACT The commercialization of novel chemical process technologies is frequently impeded by the valley of death, a critical gap between promising laboratory‐scale discovery and economically viable industrial production. This gap is largely defined by the prohibitive capital cost, extended timelines, and significant risk associated with traditional pilot plants. To bridge this gap, this paper introduces the Minimum Viable Pilot Plant (MVPP) framework: a lean, hypothesis‐driven approach to de‐risking process technologies through targeted, capital‐efficient experimentation. Grounded in both historical engineering practice and lean startup principles, the MVPP formalizes a reproducible method for maximizing the learning‐to‐capital ratio and generating high‐fidelity data to validate the most critical techno‐economic assumptions. Instead of replicating a full‐scale plant, the MVPP isolates and tests the single riskiest process element using minimal hardware. Its iterative application enables progressive de‐risking of complex, system‐level challenges. Illustrative case studies are presented to demonstrate how the MVPP model accelerates technology validation, reduces investment barriers, and democratizes innovation in the chemical industry. While the MVPP is a promising tool, it is not a panacea. Nevertheless, it can accelerate commercial chemical process innovation, particularly in resource‐constrained environments, and it opens opportunities for further studies.

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Publication Details

Journal
Journal of Advanced Manufacturing and Processing
Published
2025-10-01
DOI
https://doi.org/10.1002/amp2.70046
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

The Minimum Viable Pilot Plant ( MVPP ): A Lean Framework for De‐Risking Chemical Process Technologies

Joseph F. Pekny, Arvind Shankar Raman, Peter Oladipupo
Journal of Advanced Manufacturing and Processing
Process Optimization and Integration
article

The Minimum Viable Pilot Plant ( MVPP ): A Lean Framework for De‐Risking Chemical Process Technologies

Joseph F. Pekny, Arvind Shankar Raman, Peter Oladipupo
article en

Abstract

ABSTRACT The commercialization of novel chemical process technologies is frequently impeded by the valley of death, a critical gap between promising laboratory‐scale discovery and economically viable industrial production. This gap is largely defined by the prohibitive capital cost, extended timelines, and significant risk associated with traditional pilot plants. To bridge this gap, this paper introduces the Minimum Viable Pilot Plant (MVPP) framework: a lean, hypothesis‐driven approach to de‐risking process technologies through targeted, capital‐efficient experimentation. Grounded in both historical engineering practice and lean startup principles, the MVPP formalizes a reproducible method for maximizing the learning‐to‐capital ratio and generating high‐fidelity data to validate the most critical techno‐economic assumptions. Instead of replicating a full‐scale plant, the MVPP isolates and tests the single riskiest process element using minimal hardware. Its iterative application enables progressive de‐risking of complex, system‐level challenges. Illustrative case studies are presented to demonstrate how the MVPP model accelerates technology validation, reduces investment barriers, and democratizes innovation in the chemical industry. While the MVPP is a promising tool, it is not a panacea. Nevertheless, it can accelerate commercial chemical process innovation, particularly in resource‐constrained environments, and it opens opportunities for further studies.

Journal of Advanced Manufacturing and ProcessingVol. 7(4)
Purdue University West Lafayette (US)
Purdue University, Davidson School of Chemical Engineering, Purdue University
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Process Optimization and Integration
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The Minimum Viable Pilot Plant ( <scp>MVPP</scp> ): A Lean Framework for De‐Risking Chemical Process Technologies — Joseph F. Pekny, Arvind Shankar Raman, et al. · Journal of Advanced Manufacturing and Processing (2025) | TGRS Research Map | TGRS