Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach

•Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in the ports.•Proposed a set of Smart Port Index metrics to assess the port performance.•Barbours Cut terminal case study showed the effectiveness...

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Published in:Applied energy Vol. 258; p. 114022
Main Authors: Molavi, Anahita, Shi, Jian, Wu, Yiwei, Lim, Gino J.
Format: Journal Article
Language:English
Published: Elsevier Ltd 15.01.2020
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ISSN:0306-2619, 1872-9118
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Abstract •Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in the ports.•Proposed a set of Smart Port Index metrics to assess the port performance.•Barbours Cut terminal case study showed the effectiveness of the proposed approach. This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating sustainable value through purposeful planning. We focus on demonstrating how a set of Smart Port Index (SPI) metrics can be incorporated into the port microgrid planning process in the proposed framework to holistically improve the smartness of the port. A two-stage stochastic mixed-integer programming model is developed to explain how the use of microgrid at a port can effectively enhance the port’s performance in four key activity domains: operations, environment, energy, safety and security under operation uncertainty. The proposed model consists of an investment master problem on the first stage and a multi-objective operation planning subproblem on the second stage. Benders decomposition is implemented for solving the two-stage stochastic model, and Lexicographic Goal Programming is applied to the subproblem to deal with multiple objectives. Simulation results, compared with the minimum cost planning approach, indicate that the proposed framework is capable of guaranteeing an improvement in productivity, sustainability, and reliability of port operations.
AbstractList This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating sustainable value through purposeful planning. We focus on demonstrating how a set of Smart Port Index (SPI) metrics can be incorporated into the port microgrid planning process in the proposed framework to holistically improve the smartness of the port. A two-stage stochastic mixed-integer programming model is developed to explain how the use of microgrid at a port can effectively enhance the port’s performance in four key activity domains: operations, environment, energy, safety and security under operation uncertainty. The proposed model consists of an investment master problem on the first stage and a multi-objective operation planning subproblem on the second stage. Benders decomposition is implemented for solving the two-stage stochastic model, and Lexicographic Goal Programming is applied to the subproblem to deal with multiple objectives. Simulation results, compared with the minimum cost planning approach, indicate that the proposed framework is capable of guaranteeing an improvement in productivity, sustainability, and reliability of port operations.
•Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in the ports.•Proposed a set of Smart Port Index metrics to assess the port performance.•Barbours Cut terminal case study showed the effectiveness of the proposed approach. This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating sustainable value through purposeful planning. We focus on demonstrating how a set of Smart Port Index (SPI) metrics can be incorporated into the port microgrid planning process in the proposed framework to holistically improve the smartness of the port. A two-stage stochastic mixed-integer programming model is developed to explain how the use of microgrid at a port can effectively enhance the port’s performance in four key activity domains: operations, environment, energy, safety and security under operation uncertainty. The proposed model consists of an investment master problem on the first stage and a multi-objective operation planning subproblem on the second stage. Benders decomposition is implemented for solving the two-stage stochastic model, and Lexicographic Goal Programming is applied to the subproblem to deal with multiple objectives. Simulation results, compared with the minimum cost planning approach, indicate that the proposed framework is capable of guaranteeing an improvement in productivity, sustainability, and reliability of port operations.
ArticleNumber 114022
Author Molavi, Anahita
Wu, Yiwei
Lim, Gino J.
Shi, Jian
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  surname: Shi
  fullname: Shi, Jian
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  givenname: Yiwei
  surname: Wu
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  givenname: Gino J.
  surname: Lim
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  organization: Department of Industrial Engineering, University of Houston, United States
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Keywords Smart ports
Ports
Maritime transportation
Microgrid
Renewable energy
Sustainability
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Snippet •Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in...
This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating...
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SubjectTerms energy
Maritime transportation
Microgrid
planning
Ports
Renewable energy
Smart ports
stochastic processes
Sustainability
uncertainty
Title Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach
URI https://dx.doi.org/10.1016/j.apenergy.2019.114022
https://www.proquest.com/docview/2352427305
Volume 258
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