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Smart Integration Based on Hybrid Particle Swarm Optimization Technique for Carbon Dioxide Emission Reduction in Eco-Ports

Author

Listed:
  • Alsnosy Balbaa

    (Arab Academy for Science, Technology and Maritime Transport (AASTMT), Cairo 2033, Egypt)

  • R. A. Swief

    (Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Noha H. El-Amary

    (Arab Academy for Science, Technology and Maritime Transport (AASTMT), Cairo 2033, Egypt)

Abstract

The increasing daily rate of environmental pollution, due to electrical power generation from fossil fuel sources in different societies, urges the researchers to study alternative solutions. These solutions can be summarized into either finding other clean, renewable sources or managing the available sources optimally. This research represents smart electrical interconnection management between some of the Egyptian seaports for optimal operation, with a clean sustainable environment as the target. The optimum ports’ commitment operation works through certain technical constraints to attain optimal economic and environmental factors. One of the main objectives of this study is the reduction of carbon dioxide (CO 2 ) emission, which is released from the electrical power generation that covers the seaports demands. It is progressed through the green port smart commitment, by incorporating unpolluted and renewable energy resources. This study depends on the redesign of some Egyptian seaports to be green ports with eco-friendly electrical construction. According to the new electrical design, two out of the six studied seaports can be considered as renewable energy generation units consisting of Photovoltaic (PV) electrical generation resources. The new design of the seaports electrical network can be considered as a hybrid network, collecting both fossil fuel electrical power generation and PV sources. To gain benefits from the diversity in geographical behaviors, ports on the red sea and Mediterranean sea are integrated into the network cloud. Connecting ports on red and Mediterranean seas construct a network cloud, which supports the operation of the whole network under different conditions. Hybrid (weighted-discrete) Particle Swarm Optimization Technique (HPSOT) is an effective optimization technique which is applied to provide the optimum interconnection management between the eco-ports. It is developed based on some technical constraints which are the availability of the network buses interconnection, the voltage and frequency levels, and deviations due to the smart unit interconnection and the re-direction of the power flow. The HPSOT is targeted to minimize the economical cost and the harmful environmental impact of the seaport electrical network, while covering the overall network load. The HPSOT is programmed utilizing the Matlab program. It is tested on the six Egyptian seaports network that consists of El Dekheila, Alexandria, and Damietta on the Mediteranean and Port Said, Suez, and Sokhna port on the Suez canal and Red sea. It verifies its accurateness and efficiency in decreasing the combined cost function involving costs of CO 2 emission. CO 2 emission is reduced to 6% of its previous value for the same consumed electrical energy, that means it has a positive impact on retarding the greenhouse effect and climate change.

Suggested Citation

  • Alsnosy Balbaa & R. A. Swief & Noha H. El-Amary, 2019. "Smart Integration Based on Hybrid Particle Swarm Optimization Technique for Carbon Dioxide Emission Reduction in Eco-Ports," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2218-:d:222326
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    References listed on IDEAS

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    1. Vasudevan, Suraj & Farooq, Shamsuzzaman & Karimi, Iftekhar A. & Saeys, Mark & Quah, Michael C.G. & Agrawal, Rakesh, 2016. "Energy penalty estimates for CO2 capture: Comparison between fuel types and capture-combustion modes," Energy, Elsevier, vol. 103(C), pages 709-714.
    2. Abujarad, Saleh Y. & Mustafa, M.W. & Jamian, J.J., 2017. "Recent approaches of unit commitment in the presence of intermittent renewable energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 215-223.
    3. Peter Makeen & R. A. Swief & T. S. Abdel-Salam & Noha H. El-Amary, 2018. "Smart Hybrid Micro-Grid Integration for Optimal Power Sharing-Based Water Cycle Optimization Technique," Energies, MDPI, vol. 11(5), pages 1-24, April.
    4. Jian, Linni & Zheng, Yanchong & Xiao, Xinping & Chan, C.C., 2015. "Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid," Applied Energy, Elsevier, vol. 146(C), pages 150-161.
    5. Heba-Allah I. ElAzab & R. A. Swief & Noha H. El-Amary & H. K. Temraz, 2018. "Unit Commitment Towards Decarbonized Network Facing Fixed and Stochastic Resources Applying Water Cycle Optimization," Energies, MDPI, vol. 11(5), pages 1-21, May.
    6. G. Cobos, Noemi & Arroyo, José M. & Alguacil, Natalia & Street, Alexandre, 2018. "Network-constrained unit commitment under significant wind penetration: A multistage robust approach with non-fixed recourse," Applied Energy, Elsevier, vol. 232(C), pages 489-503.
    7. Noha H. El-Amary & Alsnosy Balbaa & R. A. Swief & T. S. Abdel-Salam, 2018. "A Reconfigured Whale Optimization Technique (RWOT) for Renewable Electrical Energy Optimal Scheduling Impact on Sustainable Development Applied to Damietta Seaport, Egypt," Energies, MDPI, vol. 11(3), pages 1-25, March.
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    Cited by:

    1. Tao Li & Yimiao Song & Jing Shen, 2019. "Clean Power Dispatching of Coal-Fired Power Generation in China Based on the Production Cleanliness Evaluation Method," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    2. Alaa Othman & Sara El Gazzar & Matjaz Knez, 2022. "Investigating the Influences of Smart Port Practices and Technology Employment on Port Sustainable Performance: The Egypt Case," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    3. Alejandro Vega-Muñoz & Guido Salazar-Sepulveda & Juan Felipe Espinosa-Cristia & Jonathan Sanhueza-Vergara, 2021. "How to Measure Environmental Performance in Ports," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    4. Claudia Durán & Fredi Palominos & Raúl Carrasco & Eduardo Carrillo, 2021. "Influence of Strategic Interrelationships and Decision-Making in Chilean Port Networks on Their Degree of Sustainability," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
    5. Alaa Othman & Sara El-gazzar & Matjaz Knez, 2022. "A Framework for Adopting a Sustainable Smart Sea Port Index," Sustainability, MDPI, vol. 14(8), pages 1-26, April.
    6. Khandaker Rasel Hasan & Wei Zhang & Wenming Shi, 2023. "A Sustainable Port-Hinterland Container Transport System: The Simulation-Based Scenarios for CO 2 Emission Reduction," Sustainability, MDPI, vol. 15(12), pages 1-24, June.

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