METHODOLOGY FRAMEWORK FOR PRIORITISATION OF RENEWABLE ENERGY SOURCES IN PORT AREAS

被引:0
作者
Agostinelli, Sofia [1 ]
Neshat, Mehdi [2 ]
Nezhad, Meysam Majidi [1 ]
Piras, Giuseppe [1 ]
Garcia, Davide Astiaso [3 ]
机构
[1] Sapienza Univ Rome, Dept Astronaut Elect & Energy Engn, Rome, Italy
[2] Torrens Univ Australia, Ctr Artificial Intelligence Res & Optimizat, Adelaide, SA, Australia
[3] Sapienza Univ Rome, Dept Planning Design & Technol Architecture, Rome, Italy
来源
URBAN AND MARITIME TRANSPORT XXVIII | 2022年 / 212卷
关键词
renewable energy sources; decision making; geographic information system; MERRA-2; time series analysis; MANAGEMENT; TOOLS;
D O I
10.2495/UMT220101
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Ports play a crucial role in increasing the decarbonisation of urban environments to mitigate the environmental impacts of maritime transport and promote sustainable intermodal mobility. Various efforts have been made to increase energy self-sufficiency using renewable energy sources (RESs) in different ports worldwide. However, the ports played an essential role in the pollution process of the nearest cities due to the short distance and merging with urban areas. In this case, solar and wind were measured using the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data of four Lazio province ports. Each RES was evaluated using 10 years of monthly data for mapping and 1 year of hourly data for potential assessment and energy converters installation. Furthermore, the time series method has been considered to design and develop better management of RESs for decision making monitoring the energy needs of ports. This time series method has been applied to the generated energy source based on various parameters of the RESs used in port.
引用
收藏
页码:113 / 121
页数:9
相关论文
共 8 条
[1]   Energy management in seaports: A new role for port authorities [J].
Acciaro, Michele ;
Ghiara, Hilda ;
Cusano, Maria Ines .
ENERGY POLICY, 2014, 71 :4-12
[2]  
Badurina P, 2017, POMORSTVO, V31, P10, DOI 10.31217/p.31.1.3
[3]   Reviewing tools and technologies for sustainable ports: Does research enable decision making in ports? [J].
Bjerkan, Kristin Ystmark ;
Seter, Hanne .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2019, 72 :243-260
[4]   Data-based continuous wind speed models with arbitrary probability distribution and autocorrelation [J].
Jonsdottir, Gudrun Margret ;
Milano, Federico .
RENEWABLE ENERGY, 2019, 143 :368-376
[5]   Conceptual Model Development of Sustainability Practices: The Case of Port Operations for Collaboration and Governance [J].
Kang, Dalwon ;
Kim, Sihyun .
SUSTAINABILITY, 2017, 9 (12)
[6]   The Greening of Ports: A Comparison of Port Management Tools Used by Leading Ports in Asia and Europe [J].
Lam, Jasmine Siu Lee ;
Notteboom, Theo .
TRANSPORT REVIEWS, 2014, 34 (02) :169-189
[8]   Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism [J].
Zhang, Shuai ;
Chen, Yong ;
Xiao, Jiuhong ;
Zhang, Wenyu ;
Feng, Ruijun .
RENEWABLE ENERGY, 2021, 174 :688-704