scholarly journals Risk identification in projects of transition to renewable electricity consumption

2021 ◽  
Vol 2021 (4) ◽  
pp. 36-43
Author(s):  
Svetlana Valentinovna Pupentsova ◽  
Pavel Andreevich Prokofiev ◽  
Andrey Vyacheslavovich Lukyanov
Keyword(s):  
Renewable Energy ◽  
Swot Analysis ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy System ◽  
Risk Identification ◽  
Renewable Electricity ◽  
Electric Networks ◽  
Power Sources ◽  
High Level

Due to the increasing electricity consumption in the world, rapid spread of renewable energy sources (RES) and the loss of basic generation capacities the electric networks will become vulnerable. There is stated a threat of periodic blackouts, which will be impossible to control. There has been carried out the study aimed to assess the risks of projects of transition to the consumption of renewable electricity. The general scientific methods of comparative analysis, collection and study of information sources, statistical data analysis and synthesis were used. The brainstorm method was used to identify risks. The relevance and directedness of the modern energy industry development has been proved, taking into account the global environmental trends. A SWOT analysis of the distribution and use of renewable energy was carried out. The damage and probability of the main risks of projects of transition to the consumption of renewable electricity are identified and assessed. There have been proposed the methods of risk management of projects of transition to the consumption of renewable electricity. A complete transition to renewable electricity consumption is found impossible for Russia due to high natural, technological, investment, legal and business risks. There is expected a high probability of technological risks affecting the construction of renewable energy generating structures and their connection to the energy system. It has been inferred that for the country’s energy system, its high level of reliability and the ability to switch to backup power sources at any time are important

scholarly journals Effect of Energy Storages on Flexibility and Cyber Resilience of Electric Networks

2019 ◽  
Vol 217 ◽  
pp. 01006
Author(s):  
Irina Kolosok ◽  
Elena Korkina ◽  
Victor Kurbatsky
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Cyber Security ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Power Production ◽  
Energy System ◽  
Electric Power Systems ◽  
Energy Sources ◽  
Electric Networks

When planning and managing the present-day and future transformed electric power systems (EPS), such comparatively new properties as flexibility and cyber resilience shall be taken into account along with EPS conventional properties, such as Reliability, Security, Survivability, and Vulnerability. Large-scale introduction of renewable energy sources notably lowers the EPS flexibility. Installation of Energy Storages allows compensation of power production imbalance occurred when using renewable energy sources, which makes the energy system more robust, but lowers its cyber security. The paper considers the main performances and models of Energy Storages, their impact on flexibility and cyber security of electric networks; it also presents the technique for quantifying the flexibility of a network with Energy Storages, and identifies most promising directions of studies in this area.

scholarly journals Expansion of Renewable Energy in Federal Settings: Austria, Belgium, and Germany in Comparison

2019 ◽  
Vol 29 (1) ◽  
pp. 147-168 ◽  
Author(s):  
Stefan Wurster ◽  
Christian Hagemann
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Qualitative Comparative Analysis ◽  
Policy Instruments ◽  
Energy System ◽  
Influential Factors ◽  
Electricity Production ◽  
Renewable Electricity ◽  
Federal States

In the face of accelerating climate change, the transition towards a nonnuclear renewable energy system represents a key political challenge, which can be aggravated by the increasing energy supply uncertainty created by the shift away from fossil fuels. In this article, we conduct a comparison of the expansion of renewable energy sources in Austria, Belgium, and Germany at the level of their subnational units (federal states), thereby covering three economically very important central European federal European Union members. We consider potentially influential factors in a fuzzy-set qualitative comparative analysis: In addition to state-specific socioeconomic and geographical characteristics, political factors, such as parties in government, and specific energy-related policy instruments are included in the analysis. We find that a high potential for renewable electricity expansion in combination with low financial prosperity is most likely to lead to a successful expansion of renewable electricity production from wind and photovoltaics.

RELIABILITY ANALYSIS OF HYBRID ENERGY SYSTEM

2014 ◽  
Vol 21 (03) ◽  
pp. 1450011 ◽  
Author(s):  
ZHIGANG TIAN ◽  
AMIR AHMAD SEIFI
Keyword(s):  
Renewable Energy ◽  
Reliability Analysis ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Cost Evaluation ◽  
Energy Sources ◽  
Power Sources ◽  
Hybrid Energy System ◽  
Hybrid Energy

A hybrid energy system integrates renewable energy sources like wind, solar, micro-hydro and biomass, fossil fuel power generators such as diesel generators and energy storage. Hybrid energy system is an excellent option for providing electricity for remote and rural locations where access to grid is not feasible or economical. Reliability and cost-effectiveness are the two most important objectives when designing a hybrid energy system. One challenge is that the existing methods do not consider the time-varying characteristics of the renewable sources and the energy demand over a year, while the distributions of a power source or demand are different over the period, and multiple power sources can often times complement one another. In this paper, a reliability analysis method is developed to address this challenge, where wind and solar are the two renewable energy sources that are considered. The cost evaluation of hybrid energy systems is presented. A numerical example is used to demonstrate the proposed method.

scholarly journals Solar Energy in Cuba: Current Situation and Future Development

2019 ◽  
Vol 6 ◽  
Author(s):  
Jorge Morales Pedraza
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy System ◽  
Electricity Production ◽  
Small Island ◽  
Energy Sources ◽  
Energy Capacity ◽  
Energy Mix

Cuba, a small island in the Caribbean Sea with a total land area of 109.884 km2 and a population of around 11.423 million, has no significant proved oil, gas and coal reserves. Also use, in a very limited manner, some of the four main renewable energy sources available in the country for electricity production, generating just 50,1 GW/h or 4,04% of the total electricity consumed in 2015 (20.288 GW/h). In 2016, electricity consumption fell to 15.182 GW/h; this means a reduction of 25% in comparison to 2015. In 2016, the participation of renewable energy sources in the energy mix of the country reached 4,65%. The different renewable energy sources available in the country are hydropower, wind power, solar photovoltaic, and bioenergy. In 2015, out of Cuba’s total 566 MW of renewable energy capacity installed, 83% of the total was in the bioenergy sector. In 2016, the renewable energy capacity installed in the country reached 642 MW. According to the decision adopted by the Cuban government, the participation of renewable energy sources in the energy mix of the country should reach 24% in 2030, an increase of almost 20% compared to the level reported in 2016. Among the different renewable energy sources available in the country, solar energy is one of the main contributors to the national energy system, and also one of the leading supplier of energy to independent users all over the country.

scholarly journals Evaluating the Effect of Demand Response Programs (DRPs) on Robust Optimal Sizing of Islanded Microgrids

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5750
Author(s):  
Mahdi Karami Karami Darabi ◽  
Hamed Ganjeh Ganjeh Ganjehlou ◽  
Amirreza Jafari ◽  
Morteza Nazari-Heris ◽  
Gevork B. B. Gharehpetian ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Small Scale ◽  
Project Cost ◽  
Power Sources ◽  
Demand Response Program ◽  
Battery State Of Charge

A microgrid is a small-scale energy system with its own generation and storage facilities and energy management system, which includes shiftable and traditional loads. The purpose of this research is to determine the size of the microgrid through (i) investigating the effect of a shiftable demand response program (DRP) on sizing of an islanded microgrid and (ii) studying the uncertainty of power output of renewable energy sources by applying the robust optimization (RO) method. Since the RO method solves the problem for lower power outputs of renewable energy sources (RES) than the predicted values, the results obtained are pessimistic and will increase the project cost. To deal with the increment of project cost, the application of a load shifting DRP is proposed to reduce the cost. In addition, DRPs are suitable means to reduce the effects of uncertain power sources. Therefore, it is shown that a shiftable DRP is effective in reducing the overall project cost and the dependency on energy storage systems by defining different scenarios and simulating them with General Algebraic Modeling System (GAMS) software. Moreover, it is indicated that the shiftable DRP and battery state of charge have correlations with solar irradiance and wind speed, respectively.

scholarly journals Machine Learning-Based Approach to Predict Energy Consumption of Renewable and Nonrenewable Power Sources

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4870 ◽  
Author(s):  
Prince Waqas Khan ◽  
Yung-Cheol Byun ◽  
Sang-Joon Lee ◽  
Dong-Ho Kang ◽  
Jin-Young Kang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Support Vector ◽  
Power Sources ◽  
Variable Nature ◽  
Soft Computing Techniques ◽  
Nonrenewable Energy

In today’s world, renewable energy sources are increasingly integrated with nonrenewable energy sources into electric grids and pose new challenges because of their intermittent and variable nature. Energy prediction using soft-computing techniques plays a vital role in addressing these challenges. As electricity consumption is closely linked to other energy sources such as natural gas and oil, forecasting electricity consumption is essential for making national energy policies. In this paper, we utilize various data mining techniques, including preprocessing historical load data and the load time series’s characteristics. We analyzed the power consumption trends from renewable energy sources and nonrenewable energy sources and combined them. A novel machine learning-based hybrid approach, combining multilayer perceptron (MLP), support vector regression (SVR), and CatBoost, is proposed in this paper for power forecasting. A thorough comparison is made, taking into account the results obtained using other prediction methods.

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

scholarly journals Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Modeling Framework ◽  
Integrated Simulation ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.

scholarly journals The Energy System of an Ecovillage: Barriers and Enablers

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 682
Author(s):  
Zita Szabó ◽  
Viola Prohászka ◽  
Ágnes Sallay
Keyword(s):  
Renewable Energy ◽  
Spatial Structure ◽  
Energy Management ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Energy Management System ◽  
Production And Consumption ◽  
Ecologically Sustainable

Nowadays, in the context of climate change, efficient energy management and increasing the share of renewable energy sources in the energy mix are helping to reduce greenhouse gases. In this research, we present the energy system and its management and the possibilities of its development through the example of an ecovillage. The basic goal of such a community is to be economically, socially, and ecologically sustainable, so the study of energy system of an ecovillage is especially justified. As the goal of this community is sustainability, potential technological and efficiency barriers to the use of renewable energy sources will also become visible. Our sample area is Visnyeszéplak ecovillage, where we examined the energy production and consumption habits and possibilities of the community with the help of interviews, literature, and map databases. By examining the spatial structure of the settlement, we examined the spatial structure of energy management. We formulated development proposals that can make the community’s energy management system more efficient.

Sign in / Sign up

Export Citation Format

Share Document