Shore power deployment strategies and policies including alternative fuels

• Novel framework for analysis of multiple shore power policies. • Integration of alternative fuel adoption within the shore power deployment model. • Test case on the bulk carrier shipping network of the St. Lawrence and Great Lakes. • Best scenario includes shore power usage & zero-emission regulations, and strategic funding. This study presents a novel evaluation framework to compare and optimize shore power deployment policies across shipping networks. The framework considers a wide range of policy instruments, including incentives, emission reduction regulations, and public funding. In addition to assessing the business case for shore power adoption, it incorporates the influence of alternative fuels and their implications for deployment strategies, offering a more holistic approach than previous models have suggested. A test case on the St. Lawrence and Great Lakes dry and liquid cargo shipping network illustrates the framework’s application for policymakers. Under appropriate policies, shore power could cover 30–50% of vessels’ berth energy use. Achieving large-scale adoption would require an estimated government investment of $257 million USD in infrastructure. With projected cost savings of $240 million USD in external costs and a cumulative reduction of 2,556 kilotons of carbon dioxide equivalent by 2040, this scenario represents the most compelling policy option.

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Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2025-09-23
DOI
https://doi.org/10.1016/j.trd.2025.104999
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
0.00

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article

Shore power deployment strategies and policies including alternative fuels

Loïc Boulon, João Pedro F. Trovão, Hugo Daniel, David Williams
Transportation Research Part D Transport and Environment
Maritime Transport Emissions and Efficiency
article

Shore power deployment strategies and policies including alternative fuels

Loïc Boulon, João Pedro F. Trovão, Hugo Daniel, David Williams
article en

Abstract

• Novel framework for analysis of multiple shore power policies. • Integration of alternative fuel adoption within the shore power deployment model. • Test case on the bulk carrier shipping network of the St. Lawrence and Great Lakes. • Best scenario includes shore power usage & zero-emission regulations, and strategic funding. This study presents a novel evaluation framework to compare and optimize shore power deployment policies across shipping networks. The framework considers a wide range of policy instruments, including incentives, emission reduction regulations, and public funding. In addition to assessing the business case for shore power adoption, it incorporates the influence of alternative fuels and their implications for deployment strategies, offering a more holistic approach than previous models have suggested. A test case on the St. Lawrence and Great Lakes dry and liquid cargo shipping network illustrates the framework’s application for policymakers. Under appropriate policies, shore power could cover 30–50% of vessels’ berth energy use. Achieving large-scale adoption would require an estimated government investment of $257 million USD in infrastructure. With projected cost savings of $240 million USD in external costs and a cumulative reduction of 2,556 kilotons of carbon dioxide equivalent by 2040, this scenario represents the most compelling policy option.

Transportation Research Part D Transport and EnvironmentVol. 148
Université de Sherbrooke (CA), Polytechnic Institute of Coimbra (PT), Institute for Systems Engineering and Computers (PT), La Coop Fédérée (CA), Université du Québec à Trois-Rivières (CA)
Mitacs, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 76%
Maritime Transport Emissions and Efficiency
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Shore power deployment strategies and policies including alternative fuels — Loïc Boulon, João Pedro F. Trovão, et al. · Transportation Research Part D Transport and Environment (2025) | TGRS Research Map | TGRS