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Portfolio optimization for industrial cluster defossilization in the Port of Rotterdam
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  • Published: 26 January 2026

Portfolio optimization for industrial cluster defossilization in the Port of Rotterdam

  • Ali Moradvandi1 &
  • Andrea Ramírez Ramírez1 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Climate sciences
  • Energy science and technology
  • Environmental sciences
  • Environmental social sciences

Abstract

Defossilizing feedstocks of industrial clusters has increasingly attracted attention due to potential impacts on climate change mitigation targets. However, the transition from fossil-based feedstocks to alternative carbon sources (ACS) presents both environmental and economic challenges in terms of performance and feasibility. One issue is the large uncertainties regarding the techno-economic feasibility in terms of investment decisions, which has been barely studied in the literature at cluster level. This study considers market price fluctuations of raw materials, products and energy over time to evaluate the profit and risk associated with individual plants for decision-making purposes. By adopting Modern Portfolio Theory (MPT), a portfolio optimization problem is defined to provide a risk-return-based guidance framework for transitioning to alternative carbon feedstocks. The proposed optimization model obtains investment portfolios and corresponding production capacity distributions based on the optimal constituents among fossil-based and ACS-based plants. The Port of Rotterdam, the Netherlands, is considered as a case study to assess the defossilization of feedstocks at the cluster level. The results show that integrating ACS-based plants into the cluster requires substantial capital investment, and reduces the Return on Investment (RoI) relative to the associated risk, making full defossilization economically challenging to achieve. However, applying a price-allocation method for re-costing ACS-based (by-)products considering governmental financial supports, the transition to alternative carbon sources can become attractive to investors at specific production capacities, as identified through optimal risk–return portfolios.

Data availability

The datasets generated and analyzed during the current study are available in supplementary materials A.

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Acknowledgements

The authors would like to thank Michael Tan, Tonny Manalal, and Inna Stepchuk for the bottom-up model development.

Funding

This work has received the financial support of the project ’Unravelling the Impacts of Using Alternative Raw Materials in Industrial Clusters,’ project number VI.C.183.010, part of the VICI research programme funded by the Dutch Research Council (NWO).

Author information

Authors and Affiliations

  1. Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands

    Ali Moradvandi & Andrea Ramírez Ramírez

Authors
  1. Ali Moradvandi
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  2. Andrea Ramírez Ramírez
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Contributions

A.M.: Conceptualization, Methodology, Data collection, Software, Formal analysis, Writing - original draft, Writing - review & editing. A.R.R: Conceptualization, Supervision, Writing - review & editing, Funding acquisition, Project administration.

Corresponding author

Correspondence to Ali Moradvandi.

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The authors declare no competing interests.

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Cite this article

Moradvandi, A., Ramírez, A.R. Portfolio optimization for industrial cluster defossilization in the Port of Rotterdam. Sci Rep (2026). https://doi.org/10.1038/s41598-026-34990-z

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  • Received: 29 September 2025

  • Accepted: 01 January 2026

  • Published: 26 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-34990-z

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