MODELLING THE FUTURE OF THE BALTIC ENERGY SYSTEMS: A GREEN SCENARIO

被引:6
|
作者
Petrichenko, L. [1 ]
Petrichenko, R. [1 ]
Sauhats, A. [1 ]
Baltputnis, K. [1 ]
Broka, Z. [1 ]
机构
[1] Riga Tech Univ, Inst Power Engn, 12-1 Azenes St, LV-1010 Riga, Latvia
关键词
Modelling; power system planning; solar energy; the Baltic States; wind energy;
D O I
10.2478/lpts-2021-0016
中图分类号
O59 [应用物理学];
学科分类号
摘要
The electricity sector in Europe and in the world is undergoing rapid and profound changes. There is a sharp increase in the capacity of renewable energy sources, coal and nuclear power plants are being closed and new technologies are being introduced. Especially rapid changes are taking place in the energy systems of the Baltic States. Under these conditions, there is an emerging need for new planning tools particularly for the analysis of the power system properties in a long-term perspective. The main contribution of this article lies in the formulation and solution of optimization problems that arise when planning the development of power systems in the Baltic States. To solve this problem, it is necessary to use models of various power plants and make a number of assumptions, the justification of which requires the following actions: to briefly review the current situation of the production and demand of energy in the Baltic power systems; to conduct an overview of the Baltic interconnections and their development; to make forecasts of energy prices, water inflow, energy production and demand; to set and solve the problems of optimization of power plant operation modes; to demonstrate the possibility and limitations of the developed tools on the basis of real-life and forecast data. In this paper, a case study is performed using the main components of the overall modelling framework being developed. It focuses on the Baltic power systems in 2050 under the conditions of significant expansion in the installed capacity of renewable energy sources (RESs) and diminished fossil fuel power plant activity. The resulting electricity generation mix and trade balance with neighbouring countries is assessed, showing that even with significant RES expansion, the Baltic countries remain net importers and because of the intermittency of RESs, there are hours within the year when the demand cannot be met.
引用
收藏
页码:47 / 65
页数:19
相关论文
共 50 条
  • [1] Modelling the macroeconomics of a 'closing the green finance gap' scenario for an energy transition
    Hafner, Sarah
    Jones, Aled
    Anger-Kraavi, Annela
    Monasterolo, Irene
    [J]. ENVIRONMENTAL INNOVATION AND SOCIETAL TRANSITIONS, 2021, 40 : 536 - 568
  • [2] Integrating building modelling with future energy systems
    Jenkins, David
    [J]. BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, 2018, 39 (02): : 135 - 146
  • [3] Modelling and Optimization Issues of the Energy Systems of the Future
    Pistikopoulos, Efstratios N.
    Liu, Pei
    Georgiadis, Michael C.
    [J]. PRES 2010: 13TH INTERNATIONAL CONFERENCE ON PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION, 2010, 21 : 1 - 6
  • [4] Data Analytics for Performance Modelling of Photovoltaic Systems in the Internet of Energy Scenario
    Capasso, Clemente
    Rubino, Luigi
    Rubino, Guido
    Veneri, Ottorino
    [J]. 2021 IEEE 15TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS AND POWER ENGINEERING (CPE-POWERENG), 2021,
  • [5] Scenario Modelling of the "Green" Economy in an Economic Space
    Rudneva, Larisa
    Pchelintseva, Irina
    Gureva, Maria
    [J]. RESOURCES-BASEL, 2018, 7 (02):
  • [6] Green energy for green future
    Sen Zhang
    Shaojun Guo
    [J]. Green Energy & Environment, 2017, 2 (02) : 65 - 65
  • [7] Green energy for green future
    Zhang, Sen
    Guo, Shaojun
    [J]. GREEN ENERGY & ENVIRONMENT, 2017, 2 (02) : 65 - 65
  • [8] Low energy demand scenario for feasible deep decarbonisation: Whole energy systems modelling for Ireland
    Gaur, Ankita
    Balyk, Olexandr
    Glynn, James
    Curtis, John
    Daly, Hannah
    [J]. Renewable and Sustainable Energy Transition, 2022, 2
  • [9] Energy systems scenario modelling and long term forecasting of hourly electricity Demand
    Department of Development and Planning, Aalborg University, Vestre Havnepromenade 9, Aalborg
    9000, Denmark
    不详
    4000, Denmark
    [J]. Int. J. Sustain. Energy Plann. Manage., (99-116):
  • [10] MODELLING AND OPTIMISATION OF GREEN ENERGY SYSTEMS BASED ON COMPLEMENTARY INTEGRATION OF RENEWABLE ENERGY
    Mao, Weiwei
    Yang, Shirui
    Gao, Xielin
    [J]. INTERNATIONAL JOURNAL OF POWER AND ENERGY SYSTEMS, 2024, 44 (10):