Renewable energy resources short-term scheduling and dynamic network reconfiguration for sustainable energy consumption

2015 ◽  
Vol 52 ◽  
pp. 256-264 ◽  
Author(s):  
G. Gutiérrez-Alcaraz ◽  
E. Galván ◽  
N. González-Cabrera ◽  
M.S. Javadi
2019 ◽  
Vol 10 (4) ◽  
pp. 627-647 ◽  
Author(s):  
Izabela Jonek-Kowalska

Research background: Energy policy is closely linked to economic development. Therefore, its optimization is an important issue especially in the contemporary European environmental conditions.  EU regulations enforce a reduction of carbon dioxide emissions and the abandonment of non-renewable energy resources. Instead, they promote renewable energy sources. In this way, new legal and environmental circumstances are becoming the main reason for the transformation of energy balances, which is a real economic and technological challenge. This transformation requires a strategic and effective approach, especially in those countries which until now have used mainly hard coal in the energy sector. Purpose of the article: According to above justification, the main purpose of the article is to identify the strategies for the transformation of energy balances that were implemented in the years 1990–2017 by chosen European countries and Turkey. Methods: The study period covers the years 1990–2017, and the subject of the research at first applies to all European countries, and then to 7 countries selected due to their high share of bituminous coal in energy balance in the first year of the analysis, treated as the initial point of transformation (1990). As a result of this selection, 6 EU members and Turkey with the largest share of coal in energy production in the year 1990 are examined. Particularly, an analysis of the trends in their energy balances in the years 1990–2017 is conducted. The research uses data on non-renewable energy consumption and renewable energy resources and the total energy consumption. The research methodology includes: analysis of the structure and dynamics, evaluation of trends and comparative analysis and presentation of development strategies. At the end of the article, a comparative analysis is carried out, the economic consequences of identified changes are assessed, and recommendations are formulated aimed at optimizing the structure of the energy balance in the future. Findings & Value added: Generally, there are four theoretical and empirical patterns of transformation strategies of energy balances with dominant coal consumption: 1) using other non-renewable energy resources; 2) replacing non-renewable energy resources with renewable ones; 3) using nuclear energy instead of coal; 4) increasing coal consumption as available and efficient energy resource. It was found that the examined countries implement mainly the strategy in which the decreasing share of coal is made up for by an increasing share of gas. Additionally, we can observe an increase in the share of nuclear energy in France, the Czech Republic and the United Kingdom. In Spain and Germany, despite the use of nuclear power plants for the production of energy, the share of nuclear energy in the energy balances has systematically decreased in time. In all analyzed countries, we can also observe an increasing share of renewable sources in energy balances, however, this growth is very slow.


2021 ◽  
Author(s):  
Selvakumar Karuppiah ◽  
Velu Duraisamy ◽  
Sakkarapalayam Murugesan Senthil Kumar

Electrocatalytic water splitting into oxygen and hydrogen is related to the utilization of non-renewable energy resources significantly and leads to sustainable energy infrastructure. The highly efficient bifunctional catalysts for oxygen...


2021 ◽  
Vol 9 ◽  
Author(s):  
Yaling Chen ◽  
Yinpeng Liu

With the increasing share of renewable energy resources in the microgrid, the microgrid faces more and more challenges in its reliable operation. One major challenge is the potential congestion caused by the uncoordinated operation of flexible demands such as heat pumps and the high penetration of renewable energy resources such as photovoltaics. Therefore, it is important to conduct microgrid energy management to ensure its reliable operation. The energy storage system (ESS) scheduling as an efficient means to alleviate congestion has been widely used. However, in the existing literature, the ESSs are usually scheduled by the microgrid system operator (MSO) in a direct control manner, which is impractical in the case where customers own ESSs and are willing to schedule ESSs by themselves. To resolve this issue, this study proposes a network reconfiguration integrated dynamic tariff–subsidy (DTS) congestion management method to utilize ESSs and network reconfiguration to alleviate congestion in microgrids caused by renewable energy resources and flexible demands. In the proposed method, the MSO controls sectionalization switches while customers or aggregators schedule ESSs in response to DTS to alleviate congestion. The DTS calculation model is formulated as a mixed-integer linear programming model, considering heat pumps (HPs), ESSs, and reconfigurable microgrid topology. The numerical results demonstrate that the proposed method can effectively use ESSs and network topology to alleviate congestion and the MSO does not need to take over the scheduling of the ESS.


Author(s):  
Lucero Cynthia Luciano De La Cruz ◽  
Cesar Celis

Abstract Renewable energy is the energy obtained from resources inexhaustible in the long term. Furthermore, in some countries, non-conventional renewable energy includes solar, wind, biomass, geothermal and mini-hydropower. The definition of mini-hydropower plants varies depending on the country. As an example, in Peru and Canada, mini-hydropower plants have different installing capacities, below 20MW and 50MW, respectively. Accordingly, this work (i) discusses the Energy Balance and challenges that renewable energies have to face on their way to the energy transition, (ii) highlights the forecast models to generate renewable energy in short-term energy planning. The historical data about the renewable energy resources and the energy produced have been obtained by COES. The R studio software was used for statistical analysis of renewable resources and electricity generation. Also, a forecast model was developed using a neural network to forecast renewable energy generation. The results show a strong correlation between hydro resources and non-conventional renewable energy resources. Finally, the data obtained from the renewable generation forecast model were used as input to carry out a short-term dispatch model using GAMS software to determine the forecast of daily marginal cost in SEIN.


2016 ◽  
Vol 31 (3) ◽  
pp. 1879-1888 ◽  
Author(s):  
Mohammad Reza Dorostkar-Ghamsari ◽  
Mahmud Fotuhi-Firuzabad ◽  
Matti Lehtonen ◽  
Amir Safdarian

2020 ◽  
Vol 4 (9) ◽  
pp. 4390-4414
Author(s):  
Koray Alper ◽  
Kubilay Tekin ◽  
Selhan Karagöz ◽  
Arthur J. Ragauskas

Fossil fuels must be replaced with renewable energy resources to ensure sustainable development, reduce the dependence on fossil fuels, address environmental challenges including climate change.


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