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Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship

Author

Listed:
  • Hai Lan

    (College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, China)

  • Jinfeng Dai

    (College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, China)

  • Shuli Wen

    (College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, China)

  • Ying-Yi Hong

    (Department of Electrical Engineering, Chung Yuan Christian University, Chung Li 32023, Taiwan)

  • David C. Yu

    (Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA)

  • Yifei Bai

    (College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, China)

Abstract

This study optimizes the tilt angle of photovoltaic (PV) panels on a large oil tanker ship system and considers the impact of partial shading to improve the performance of the PV system. This work presents a novel method that considers the difference between the expected and real outputs of PV modules to optimize the size of energy storage system (ESS). The method also takes into account the cost of wasted power, the capital cost of the system, fuel cost and the CO 2 emissions. Unlike on land, power generation using a PV on a ship depends on the date, latitude and longitude of the navigation. Accordingly, this work considers a route from Dalian in China to Aden in Yemen, accounting for the seasonal and geographical variations of solar irradiation. This proposed method adopts five conditions associated with the navigation route to model the total shipload. Various cases are discussed in detail to demonstrate the effectiveness of the proposed algorithm.

Suggested Citation

  • Hai Lan & Jinfeng Dai & Shuli Wen & Ying-Yi Hong & David C. Yu & Yifei Bai, 2015. "Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship," Energies, MDPI, vol. 8(10), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:10:p:11515-11530:d:57146
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    Cited by:

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    3. Wen, Shuli & Lan, Hai & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun & Cheng, Peng, 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system," Applied Energy, Elsevier, vol. 175(C), pages 158-167.
    4. Enric Julià & Fabian Tillig & Jonas W. Ringsberg, 2020. "Concept Design and Performance Evaluation of a Fossil-Free Operated Cargo Ship with Unlimited Range," Sustainability, MDPI, vol. 12(16), pages 1-23, August.
    5. Tang, Ruoli & Wu, Zhou & Li, Xin, 2018. "Optimal operation of photovoltaic/battery/diesel/cold-ironing hybrid energy system for maritime application," Energy, Elsevier, vol. 162(C), pages 697-714.
    6. Myeongchan Oh & Hyeong-Dong Park, 2019. "Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University," Energies, MDPI, vol. 12(17), pages 1-17, August.
    7. Monaaf D. A. Al-Falahi & Tomasz Tarasiuk & Shantha Gamini Jayasinghe & Zheming Jin & Hossein Enshaei & Josep M. Guerrero, 2018. "AC Ship Microgrids: Control and Power Management Optimization," Energies, MDPI, vol. 11(6), pages 1-20, June.
    8. Michail Serris & Paraskevi Petrou & Isidoros Iakovidis & Sotiria Dimitrellou, 2023. "Techno-Economic and Environmental Evaluation of a Solar Energy System on a Ro-Ro Vessel for Sustainability," Energies, MDPI, vol. 16(18), pages 1-20, September.

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