Estimation of the Future Electricity Price Surcharge for the Integration of Wind and Solar Power into the Vietnamese Electricity System

2019 ◽  
Author(s):  
Thi Hiep Do ◽  
Clemens Hoffmann
Keyword(s):  
Solar Power ◽  
Electricity Price ◽  
Electricity System ◽  
The Future

Scheduling Scheme Based on Smart Grid of Energy-Saving

2013 ◽  
Vol 340 ◽  
pp. 908-912
Author(s):  
Ke Zhang
Keyword(s):  
Smart Grid ◽  
Energy Saving ◽  
Energy Efficient ◽  
Power Industry ◽  
Ideal Solution ◽  
Scheduling Scheme ◽  
Electricity System ◽  
Scheduling Model ◽  
The Future ◽  
Energy Efficient Scheduling

The smart grid is an ideal solution of the future electricity system, and scheduling aspects of the smart grid, the nerve center of the most intelligent can best embody the intelligent characteristic, this article summarizes the development of smart grid technologies, energy-saving scheduling, and the smart grid ofsignificance analysis to explore the implementation of energy-saving dispatch to the power industry, an energy efficient scheduling model and highlight the superiority of the energy-saving scheduling in order to ensure the smooth implementation of energy-saving scheduling.

scholarly journals Impacts of Electric Road Systems on the German and Swedish Electricity Systems—An Energy System Model Comparison

2021 ◽  
Vol 9 ◽  
Author(s):  
Johanna Olovsson ◽  
Maria Taljegard ◽  
Michael Von Bonin ◽  
Norman Gerhardt ◽  
Filip Johnsson
Keyword(s):  
Wind Power ◽  
Peak Power ◽  
Large Scale ◽  
Solar Power ◽  
Energy System ◽  
Transport Sector ◽  
Electricity System ◽  
Road Systems ◽  
The Impact ◽  
Electricity Systems

This study analyses the impacts of electrification of the transport sector, involving both static charging and electric road systems (ERS), on the Swedish and German electricity systems. The impact on the electricity system of large-scale ERS is investigated by comparing the results from two model packages: 1) a modeling package that consists of an electricity system investment model (ELIN) and electricity system dispatch model (EPOD); and 2) an energy system investment and dispatch model (SCOPE). The same set of scenarios are run for both model packages and the results for ERS are compared. The modeling results show that the additional electricity load arising from large-scale implementation of ERS is mainly, depending on model and scenario, met by investments in wind power in Sweden (40–100%) and in both wind (20–75%) and solar power (40–100%) in Germany. This study also concludes that ERS increase the peak power demand (i.e., the net load) in the electricity system. Therefore, when using ERS, there is a need for additional investments in peak power units and storage technologies to meet this new load. A smart integration of other electricity loads than ERS, such as optimization of static charging at the home location of passenger cars, can facilitate efficient use of renewable electricity also with an electricity system including ERS. A comparison between the results from the different models shows that assumptions and methodological choices dictate which types of investments are made (e.g., wind, solar and thermal power plants) to cover the additional demand for electricity arising from the use of ERS. Nonetheless, both modeling packages yield increases in investments in solar power (Germany) and in wind power (Sweden) in all the scenarios, to cover the new electricity demand for ERS.

A Prediction Model of Future Electricity Pricing in Namibia

2013 ◽  
Vol 824 ◽  
pp. 93-99
Author(s):  
Godwin Norense Osarumwense Asemota
Keyword(s):  
Equation Model ◽  
Electricity Price ◽  
Model Fit ◽  
Extensive Literature ◽  
Electricity Pricing ◽  
Standards Of Living ◽  
The Future ◽  
Generation Capacity ◽  
Term Energy ◽  
The Common

The shortage of local electricity generation capacity coupled with increasing reliance on South Africa, from which it imports about forty-eight (48%) percent of its electricity, and another five (5%) percent from Zambia, Zimbabwe and other short term energy markets constitute the major shortcomings of electricity industry in Namibia.Therefore, price stability and volatility indices of electricity can directly impact on the developmental imperatives of any nation. This is so because the quality, quantity and pricing of electricity available to the citizenry have become the common denominators for measuring the standards of living of any commune, like Namibia. Extensive literature searchand review, and about 127 yielded questionnaires out of the 300 administered questionnaires; were used to gather data for the study. The yielded survey data were subsequently subjected to statistical analyses using the Statistical Package for Social Sciences (SPSS version 11.5) to develop a sigmoid plot for predicting the future electricity pricing model for Namibia employing first order differential equations. The results show that the generalisedlogistic equation model for the future pricing of electricity consumed in Namibia, increased by about 13.52% per year. Upon substituting the available 1995 electricity pricing data into the logistic equation model, it was possible to predict the future electricity price for 2010, with about 1.8% error. It can be seen that the developed logistic model fit is only viable for about fifteen (15) years. It is suggested that, better estimates can be obtained if the median electricity price for either 2002 or 2003 is used as the initial electricity price, to obtain more credible electricity prices with longertime ranges, for Namibia.

Principal Spatio-Temporal Mismatch and Electricity Price Patterns in a Highly-Decarbonised Networked European Electricity System

2021 ◽  
Author(s):  
Leon Joachim Schwenk-Nebbe ◽  
Jonas Emil Vind ◽  
August Jensen Backhaus ◽  
Marta Victoria ◽  
Martin Greiner
Keyword(s):  
Electricity Price ◽  
Electricity System ◽  
Price Patterns ◽  
Spatio Temporal

Efficiency and costs of different concentrated solar power plant configurations for sites in Gauteng and the Northern Cape, South Africa

2013 ◽  
Vol 24 (1) ◽  
pp. 77-89 ◽  
Author(s):  
Thomas Telsnig ◽  
Ludger Eltrop ◽  
Hartmut Winkler ◽  
Ulrich Fahl
Keyword(s):  
South Africa ◽  
South African ◽  
Solar Power ◽  
Electricity Demand ◽  
Plant Performance ◽  
Concentrated Solar Power ◽  
Demand Structure ◽  
The Future ◽  
Northern Cape ◽  
Electricity Mix

Concentrated solar power (CSP) plants can play a major role in the future South African electricity mix. Today the Independent Power Producer (IPP) Procurement Programme aims to facilitate renewable energy projects to access the South African energy market. In spite of this incentive programme, the future role of CSP plants in South Africa has yet to be defined. Using hourly irradiance data, we present a new method to calculate the expected yield of different parabolic trough plant configurations at a site in each of Gauteng and the Northern Cape, South Africa. We also provide cost estimates of the main plant components and an economic assessment that can be used to demonstrate the feasibility of solar thermal power projects at different sites. We show that the technical configurations, as well as the resulting cost of electricity, are heavily dependent on the location of the plant and how the electricity so generated satisfies demand. Today, levelised electricity costs for a CSP plant without storage were found to be between 101 and 1.52 ZAR2010/kWhel, assuming a flexible electricity demand structure. A CSP configuration with Limited Storage produces electricity at costs between 1.39 and 1.90 ZAR2010/kWhel, whereas that with Extended Storage costs between 1.86 and 2.27 ZAR2010/kWhel. We found that until 2040 a decrease in investment costs results in generating costs between 0.73 ZAR2010/kWhel for a CSP plant without storage in Upington and 1.16 ZAR2010/ kWhel for a configuration with Extended Storage in Pretoria. These costs cannot compete, however, with the actual costs of the traditional South African electricity mix. Nevertheless, a more sustainable energy system will require dispatchable power which can be offered by CSP including storage. Our results show that the choice of plant configuration and the electricity demand structure have a significant effect on costs. These results can help policymakers and utilities to benchmark plant performance as a basis for planning.

Social acceptance of wind and solar power in the Brazilian electricity system

2016 ◽  
Vol 18 (5) ◽  
pp. 1457-1476 ◽  
Author(s):  
Lunardo Alves de Sena ◽  
Paula Ferreira ◽  
Ana Cristina Braga
Keyword(s):  
Social Acceptance ◽  
Solar Power ◽  
Electricity System
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