|Table of Contents|

A planning method for self-sufficiency renewable energy systems of ports under multiple scenarios considering optimal coordination of waterway transportation demand and energy loading(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2024年5期
Page:
177-193
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
A planning method for self-sufficiency renewable energy systems of ports under multiple scenarios considering optimal coordination of waterway transportation demand and energy loading
Author(s):
LI Lin-feng1; 2;  ZHONG Ming1; 2;  ZHAO Hao-wei1; 2;  MA Xiao-feng1; 2; LIU Chang-jian3;  XU Xian-feng4
(1. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063,Hubei, China; 2. National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, Hubei, China; 3. Transport Planning and Research Institute,Ministry of Transport, Beijing 100028, China; 4. School of Energy and Electrical Engineering,Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
traffic engineering;  ports transportation and energy integration;  multi-scenario planning;  PSRES;  MIPM
PACS:
U653.95
DOI:
10.19721/j.cnki.1671-8879.2024.05.015
Abstract:
To promote the integrated development of port transportation and energy systems, rationally use limited port space, and configure renewable energy infrastructure to maximize port self-sufficiency rate, a multi-scenario planning method for port self-sufficiency renewable energy systems(PSRESs)was researched which considering the optimal coordination of transportation demand and energy load. The relationship between port transportation demand and energy load was coupled, achieving hourly load demand prediction during the planning period. A two-layer mixed integer planning model(MIPM)was developed, considering system equipment configuration and operation optimization. The upper sub-model aims to maximize total profit over the planning period by determining a “best” configuration scheme of renewable energy equipment, while the lower sub-model focuses on maximizing power supply reliability(PSR)by optimizing the charging and discharging strategies for energy storage equipment. Finally, the MIPM was applied to obtain and analyze the PSRES planning scheme under various scenarios formed by three national power grid(NPG)characteristics(strong, weak, or not available)and two operating modes(on-grid or off-grid)with or without energy storage equipment. The results show that under strong NPG on-grid, strong NPG off-grid, weak NPG on-grid, and not available NPG scenarios, the system return on investment(ROI)is 113.89%, 69.21%, 33.64% and 38.68%, respectively. Under the weak NPG off-grid scenario, the system ROI is only -10.70%. The average annual reduction rate of carbon dioxide emissions under strong NPG on-grid, strongNPG off-grid, weak NPG on-grid, weak NPG off-grid and not available NPG scenarios is 58.15%, 58.59%, 62.86%, 66.11% and 73.26%, respectively. Under strong NPG on-grid and weak NPG on-grid scenarios, there is no need to configure energy storage equipment, and the PSR of the weak NPG on-grid is 96.15%. Under weak NPG off-grid and not available NPG scenarios, the PSR reaches 100% by configuring 9.69 and 11.20 MW of energy storage equipment, respectively.9 tabs, 14 figs, 36 refs.

References:

[1] CHEN J H,ZHENG T X,GARG A,et al.Alternative maritime power application as a green port strategy:Barriers in China[J].Journal of CleanerProduction,2019,213:825-837.
[2]KERSEY J,POPOVICH N D,PHADKE A A.Rapid battery cost declinesaccelerate the prospects of all-electric interregional container shipping[J].NatureEnergy,2022,7:664-674.
[3]WANG B,LIU Q,WANG L,et al.A review of the port carbon emission sources andrelated emission reduction technical measures[J].EnvironmentalPollution,2023,320:121000.
[4]邰能灵,王萧博,黄文焘,等.港口综合能源系统低碳化技术综述[J].电网技术,2022,46(10):3749-3763.
TAI Neng-ling,WANG Xiao-bo,HUANG Wen-tao,et al.Review of low-carbon technology for integrated port energy systems[J].Power SystemTechnology,2022,46(10):3749-3763.
[5]中华人民共和国国务院.“十四五”现代综合交通运输体系发展规划[EB/OL].(2021-12-09)[2024-06-13].https://www.gov.cn/gongbao/content/2022/content_5672664.htm.
State Council of the People's Republic of China.Development plan of moderncomprehensive transportation system in the 14th Five-Year Plan[EB/OL].(2021-12-09)[2024-06-13].https://www.gov.cn/gongbao/content/2022/content_5672664.htm.
[6]交通运输部.绿色交通“十四五”发展规划[EB/OL].(2021-10-29)[2024-06-13].https://xxgk.mot.gov.cn/2020/jigou/zhghs/202201/t20220121_3637584.html.
Ministry of Transport of the People's Republic of China.Green transportation inthe 14th Five-Year Plan[EB/OL].(2021-10-29)[2024-06-13].https://xxgk.mot.gov.cn/2020/jigou/zhghs/202201/t20220
121_3637584.html.
[7]IRIS Ç,LAM J S L.A review of energy efficiency inports:Operational strategies,technologies and energy management systems[J].Renewable and Sustainable Energy Reviews,2019,112:170-182.
[8]PARHAMFAR M,SADEGHKHANI I,ADELI A M.Towards the application ofrenewable energy technologies in green ports:Technical and economicperspectives[J].IET Renewable Power Generation,2023,17(12):3120-3132.
[9]AKBARI N,IRAWAN C A,JONES D F,et al.A multi-criteria port suitabilityassessment for developments in the offshore wind industry[J].RenewableEnergy,2017,102:118-133.
[10]SADEK I,ELGOHARY M.Assessment of renewable energy supply for greenports with a case study[J].Environmental Science and PollutionResearch,2020,27(5):5547-5558.
[11]FOSSILE D K,FREJ E A,GOUVEA D C S E,et al.Selecting the mostviable renewable energy source for Brazilian Ports using the FIT radeoff method[J].Journal of Cleaner Production,2020,260:121107.
[12]RAILEANU A B,ONEA F,RUSU E.Implementation of offshore wind turbines toreduce air pollution in coastal areas-Case study Constanta Harbour in the blacksea[J].Journal of Marine Science and Engineering,2020,8(8):550.
[13]AGOSTINELLI S,NESHAT M,MAJIDINEZHAD M,et al.Integrating renewable energy sources in Italian Port areas towards renewable energy communities[J].Sustainability,2022,14(21):13720.
[14]GUTIERREZ-ROMERO J E,ESTEVE-PÉREZJ,ZAMORAB.Implementingonshore power supply from renewable energy sources for requirements of ships at berth[J].Applied Energy,2019,255:113883.
[15]ROLAN A,MANTECA P,OKTAR R,et al.Integration of cold ironing andrenewable sources in the Barcelona Smart Port[J].IEEE Transactions on Industry Applications,2019,55(6):7198-7206.
[16]RRUKAJ R,ZADEH M.Integrated energy systems for green ports:A cost model and case study[C]//IEEE.2023 IEEE International Conference on Electrical Systems for Aircraft,Railway,Ship Propulsion and Road Vehicles & International Transportation Electrification Conference(ESARS-ITEC).New York:IEEE,2023:1-5.
[17]TAWFIK M,SHEHATA A S,ALI HASSAN A,et al.Renewable solar and wind energies on buildings for green ports in Egypt[J].Environmental Science andPollution Research,2023,30(16):47602-47629.
[18]袁裕鹏,袁成清,徐洪磊,等.我国水路交通与能源融合发展路径探析[J].中国工程科学,2022,24(3):184-194.
YUAN Yu-peng,YUAN Cheng-qing,XU Hong-lei,et al.Pathway for integrated development of waterway transportation and energy in China[J].Strategic Study of CAE,2022,24(3):184-194.
[19]方斯顿,赵常宏,丁肇豪,等.面向碳中和的港口综合能源系统(二):能源-交通融合中的柔性资源与关键技术[J].中国电机工程学报,2023,43(3):950-969.
FANG Si-dun,ZHAO Chang-hong,DING Zhao-hao,et al.Portintegrated energysystems toward carbon neutrality(Ⅱ):Flexible resources and key technologies inenergy-transportation integration[J].Proceedings of theCSEE,2023,43(3):950-969.
[20]GEERLINGS H,HEIJ R,VANDUIN R.Opportunities for peak shaving the energy demand of ship-to-shore quay cranes at container terminals[J].Journal of Shipping and Trade,2018,3(1):3.
[21]黄逸文,黄文焘,卫 卫,等.大型海港综合能源系统物流-能量协同优化调度方法[J].中国电机工程学报,2022,42(17):6184-6196.
HUANG Yi-wen,HUANG Wen-tao,WEI Wei,et al.Logistics-energy collaborativeoptimization scheduling method for large seaport integrated energysystem[J].Proceedings of the CSEE,2022,42(17):6184-6196.
[22]ZHANG Y,LIANG C J,SHI J,et al.Optimal port microgrid schedulingincorporating onshore power supply and berth allocation under uncertainty[J].Applied Energy,2022,313:118856.
[23]段梅梅,黄奇峰,庄 重,等.基于新型电力系统的工业园区综合能源耦合优化运行方法研究[J/OL].电测与仪表,2024:1-15[2024-06-18].https://link.cnki.net/urlid/23.1202.TH.20240613.1748.007.
DUAN Mei-mei,HUANG Qi-feng,ZHUANG Zhong,et al.Research on integratedenergy coupling optimization operation method of industrial park based on novelpower system[J/OL].Electrical Measurement &Instrumentation,2024:1-15[2024-06-18].https://link.cnki.net/urlid/23.1202.TH.20240613.1748.007.
[24]孟旭瑶,付立军,赖心怡,等.计及源荷互补特性的“源网荷储一体化项目”优化配置[J].电力自动化设备,2024,44(7):123-131.
MENG Xu-yao,FU Li-jun,LAI Xin-yi,et al.Optimal configuration ofsource-network-load-storage integrated project considering source-loadcomplementarity characteristics[J].Electric Power Automation Equipment,2024,44(7):123-131.
[25]邢雪亮,贾利民,胡俊杰,等.面向园区自洽能源系统的综合优化调度研究[J/OL].华北电力大学学报(自然科学版),2024:1-15[2024-06-13].https://link.cnki.net/urlid/13.1212.tm.20240221.1252.002.
XING Xue-liang,JIA Li-min,HU Jun-jie,et al.Study on comprehensiveoptimization operation for park-level self-contained energy systems[J/OL].Journalof North China Electric PowerUniversity,2024:1-15[2024-06-13].https://link.cnki.net/urlid/13.1212.tm.20240221.1252.002.
[26]贾利民,程 鹏,张 蜇,等.“双碳”目标下轨道交通与能源融合发展路径和策略研究[J].中国工程科学,2022,24(3):173-183.
JIA Li-min,CHENG Peng,ZHANG Zhe,et al.Integrated development of rail transit and energies in China:Development paths and strategies[J].Strategic Study of CAE,2022,24(3):173-183.
[27]童 彤,许晓彦,郭 燚,等.基于Petri网的港区综合能源系统优化调度建模研究[J].电力需求侧管理,2021,23(4):39-44.
TONG Tong,XU Xiao-yan,GUO Yi,et al.Modeling research on optimal schedulingof integrated energy system in port area based on Petri net[J].Power DemandSide Management,2021,23(4):39-44.
[28]KHARE V,NEMA S,BAREDAR P,et al.Game theory-based framework ofsolar-wind renewable energy system[J].Journal of the Institution of Engineers(India):Series B,2019,100(6):575-587.
[29]苏小玲,陈来军,赵超凡,等.计及能源自洽率和共享氢储能的电-氢-交通耦合配电网低碳经济运行[J].高电压技术,2023,50(6):2424-2432.
SU Xiao-ling,CHEN Lai-jun,ZHAO Chao-fan,et al.Low carbon economicdispatch for electricity-hydrogen-transport coupling network consideringself-sufficiency and shared hydrogen storage[J].High VoltageEngineering,2023,50(6):2424-2432.
[30]ZHANG C Y,DING Y,WANG Q,et al.Uncertainty-averse TRANSCO planning for accommodating renewable energy in CO2 reduction environment[J].Journal of Modern Power Systems and Clean Energy,2015,3(1):24-32.
[31]谢小瑜,周俊煌,张勇军,等.基于W-BiLSTM的可再生能源超短期发电功率预测方法[J].电力系统自动化,2021,45(8):175-184.
XIE Xiao-yu,ZHOU Jun-huang,ZHANG Yong-jun,et al.W-BiLSTM basedultra-short-term generation power prediction method of renewable energy[J].Automation of Electric Power Systems,2021,45(8):175-184.
[32]EVANGELOPOULOS V A,GEORGILAKIS P S.Probabilistic spatial loadforecasting for assessing the impact of electric load growth in power distributionnetworks[J].Electric Power Systems Research,2022,207:107847.
[33]杨文武.航道现代化是内河水运现代化的基石[J].中国水运,2019,19(7):31-32.
YANG Wen-wu.Waterway modernization is the cornerstone of inland watertransportation modernization[J],China Water Transport,2019,19(7):31-32.
[34]贾利民,师瑞峰,吉 莉,等.我国道路交通与能源融合发展战略研究[J].中国工程科学,2022,24(3):163-172.
JIA Li-min,SHI Rui-feng,JI Li,et al.Road transportation and energy integrationstrategy in China[J].Strategic Study of CAE,2022,24(3):163-172.
[35]生态环境部,国家统计局.2021年电力二氧化碳排放因子[EB/OL].(2024-04-12)[2024-06-08].https://www.mee.gov.cn/xxgk2018/xxgk/xxgk01/202404/t20240412_1070565.html.
Ministry of Ecology and Environment of the People's Republic of China,NationalBureau of Statistics.CO2 emission factors for electricity in2021[EB/OL].(2024-04-12)[2024-06-08].https://www.mee.gov.cn/xxgk2018/xxgk/xxgk01/202404/t20240412_1070565.html.
[36]生态环境部.大气污染物与温室气体融合排放清单编制技术指南(试行)[EB/OL].(2024-01-19)[2024-06-08].https://www.mee.gov.cn/xxgk2018/xxgk/xxgk06/202401/t20240130_1065242.html.
Ministry of Ecology and Environment of the People's Republic ofChina.Technical guide for compilation of emission inventories of air pollutantsand greenhouse gases(Trial)[EB/OL].(2024-01-19)[2024-06-08].https://www.mee.gov.cn/xxgk2018/xxgk/xxgk06/202401/t20240130_1065242.html.

Memo

Memo:
-
Last Update: 2024-10-20