Modeling and planning of the electricity energy system with a high share of renewable supply for Portugal

被引:14
作者
Gomes, Joao Graca [1 ]
Pinto, Jose Medeiros [3 ]
Xu, Huijin [1 ]
Zhao, Changying [1 ,2 ]
Hashim, Haslenda [4 ]
机构
[1] Shanghai Jiao Tong Univ, China UK Low Carbon Coll, Shanghai 201306, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Engn Thermophys, Shanghai 200240, Peoples R China
[3] Portuguese Renewable Energy Assoc, Av Sidonio Pais 18 R-C Esq, P-1050215 Lisbon, Portugal
[4] Univ Teknol Malaysia, Fac Chem & Energy Engn, Proc Syst Engn Ctr Prospect, Res Inst Sustainable Environm RISE, Johor Baharu, Malaysia
基金
中国国家自然科学基金;
关键词
Energy planning; Renewables; Electricity system; Low carbon; Optimization; OFFSHORE WIND; OPTIMIZATION; GENERATION; CLIMATE; STORAGE; DEMAND;
D O I
10.1016/j.energy.2020.118713
中图分类号
O414.1 [热力学];
学科分类号
摘要
The electrical supply system of Mainland Portugal is primarily responsible for 25% of the country's CO2 emissions. The principal reason for these high CO2 emissions is the significant dependence on coal power plants, which account for approximately 30% of the overall electricity generation. In 2018, to ensure CO2 emissions reduction, the Portuguese Government presented the "National Renewable Energy Action Plan for 2030", a strategic proposal for the sustainable development of the Portuguese economy through the decommissioning of fossil power plants. This study presents, on the Portuguese mainland scale, electricity system technical solutions for achieving CO2 emissions reduction, using the guidelines of the Portuguese Government plans for the upcoming decades, and a high share of renewable energy supply. The technical solutions were achieved using an hourly electricity balance via the EnergyPLAN software. The study also identifies the minimal load capacity value of thermal power plants required to maintain the security levels of the Portuguese electrical system and highlights the importance of pumping hydropower plants for the integration of variable renewable electricity sources. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:15
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