scholarly journals Modeling and Simulation of Solar Photovoltaic Renewable Energy Sources Power Generation System for MGs and Loss of Mains Detection

2020 ◽  
Vol 1 (1) ◽  
pp. 37-44
Author(s):  
Mogaka L. Ong’ondo ◽  
Nyakoe G. Nyauma ◽  
Michael Juma Saulo
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Dynamic Behavior ◽  
Renewable Energy Sources ◽  
Environmental Parameters ◽  
Energy Sources ◽  
Solar Pv ◽  
Accurate Design ◽  
Power Generation Systems ◽  
Pv Power Generation

Power generation from Renewable Energy Sources (RESs) is steadily increasing due to a number of reasons. These include government subsidies on these RESs, improvement in technology in their manufacture and efforts to reduce greenhouse gas emissions. However, these RESs have associated challenges like intermittency in power generation hence unreliable power supply. Solar PV is gaining popularity as compared to other RESs due to its unique advantages in grid connected applications. It is therefore important to carry out accurate design and enough simulations on its dynamic behavior before actual installation at any given location using local environmental parameters. This paper discusses the detailed modelling, simulation and dynamic behavior of solar PV power generation systems for MG applications using Matlab/Simulink platform.

scholarly journals Quasi Z-Source Inverter for Pv Power Generation Systems

2019 ◽  
Vol 9 (2) ◽  
pp. 1191-1199
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Modern World ◽  
Power Demand ◽  
Point Tracking ◽  
Power Point ◽  
Pv Power Generation

For the enormously increased power demand in the modern world, the existing fossil fuel sources seem to be inadequate to meet the demands. Hence, it is necessary to switch over to use Renewable Energy Sources (RES). Besides the demand concerns, the power generation from fossil fuels causes environmental pollution prominently. As a result, the utilization of RES has been encouraged. When RES is interconnected with the grid, this system becomes an excellent solution to fulfill the power demand of the present scenario. The energy generated from renewable energy sources varies according to seasonal variations. The power generated from RES can be delivered to the load by interconnecting it with the grid. When a small size RES system is connected with the distribution network, it can deliver energy to the isolated zones where the energy cannot be drawn from the conventional network. In this work, the Artificial Neural Network based Maximum Power Point Tracking scheme has been introduced with Photovoltaic (PV) power generation. Also, a bi-directional charger is introduced to overcome the battery issues. The model is evaluated in the MATLAB/SIMULINK package. The performance of the system is analyzed by applying different voltage levels to qZSI. The voltage gain, effectiveness of the scheme, MPPT and the regulation of the voltages are observed

scholarly journals Linking renewables and fossil fuels with carbon capture via energy storage for a sustainable energy future

2019 ◽  
Vol 14 (3) ◽  
pp. 453-459
Author(s):  
Dawid P. Hanak ◽  
Vasilije Manovic
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Energy Storage ◽  
Carbon Capture ◽  
Sustainable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Low Carbon ◽  
The Future ◽  
Power Generation Systems

AbstractRenewable energy sources and low-carbon power generation systems with carbon capture and storage (CCS) are expected to be key contributors towards the decarbonisation of the energy sector and to ensure sustainable energy supply in the future. However, the variable nature of wind and solar power generation systems may affect the operation of the electricity system grid. Deployment of energy storage is expected to increase grid stability and renewable energy utilisation. The power sector of the future, therefore, needs to seek a synergy between renewable energy sources and low-carbon fossil fuel power generation. This can be achieved via wide deployment of CCS linked with energy storage. Interestingly, recent progress in both the CCS and energy storage fields reveals that technologies such as calcium looping are technically viable and promising options in both cases. Novel integrated systems can be achieved by integrating these applications into CCS with inherent energy storage capacity, as well as linking other CCS technologies with renewable energy sources via energy storage technologies, which will maximise the profit from electricity production, mitigate efficiency and economic penalties related to CCS, and improve renewable energy utilisation.

Operation and control of a stand-alone power system with integrated multiple renewable energy sources

2021 ◽  
pp. 0309524X2110241
Author(s):  
Nindra Sekhar ◽  
Natarajan Kumaresan
Keyword(s):  
Renewable Energy ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Solar Pv ◽  
Power Requirement ◽  
Squirrel Cage ◽  
Hysteresis Controller ◽  
Squirrel Cage Induction Generator ◽  
And Control

To overcome the difficulties of extending the main power grid to isolated locations, this paper proposes the local installation of a combination of three renewable energy sources, namely, a wind driven DFIG, a solar PV unit, a biogas driven squirrel-cage induction generator (SCIG), and an energy storage battery system. In this configuration one bi-directional SPWM inverter at the rotor side of the DFIG controls the voltage and frequency, to maintain them constant on its stator side, which feeds the load. The PV-battery also supplies the load, through another inverter and a hysteresis controller. Appropriately adding a capacitor bank and a DSTATCOM has also been considered, to share the reactive power requirement of the system. Performance of various modes of operation of this coordinated scheme has been studied through simulation. All the results and relevant waveforms are presented and discussed to validate the successful working of the proposed system.

scholarly journals Agricultural Residue Management for Sustainable Power Generation: The Poland Case Study

2021 ◽  
Vol 11 (13) ◽  
pp. 5907
Author(s):  
Valerii Havrysh ◽  
Antonina Kalinichenko ◽  
Anna Brzozowska ◽  
Jan Stebila
Keyword(s):  
Power Generation ◽  
Spatial Distribution ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Agricultural Waste ◽  
Energy Utilization ◽  
Evaluation Methodology ◽  
Energy Sources ◽  
Energy Potential ◽  
Agricultural Residue

The European Union has set targets for renewable energy utilization. Poland is a member of the EU, and its authorities support an increase in renewable energy use. The background of this study is based on the role of renewable energy sources in improving energy security and mitigation of climate change. Agricultural waste is of a significant role in bioenergy. However, there is a lack of integrated methodology for the measurement of its potential. The possibility of developing an integrated evaluation methodology for renewable energy potential and its spatial distribution was assumed as the hypothesis. The novelty of this study is the integration of two renewable energy sources: crop residues and animal husbandry waste (for biogas). To determine agricultural waste energy potential, we took into account straw requirements for stock-raising and soil conservation. The total energy potential of agricultural waste was estimated at 279.94 PJ. It can cover up to 15% of national power generation. The spatial distribution of the agricultural residue energy potential was examined. This information can be used to predict appropriate locations for biomass-based power generation facilities. The potential reduction in carbon dioxide emissions ranges from 25.7 to 33.5 Mt per year.

scholarly journals Potential of Utilization of Renewable Energy Technologies in Gulf Countries

2021 ◽  
Vol 13 (18) ◽  
pp. 10261
Author(s):  
J. Sadhik Basha ◽  
Tahereh Jafary ◽  
Ranjit Vasudevan ◽  
Jahanzeb Khan Bahadur ◽  
Muna Al Ajmi ◽  
...  
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
United Arab Emirates ◽  
Renewable Energy Sources ◽  
Gas Production ◽  
Energy Sources ◽  
Nonrenewable Resource ◽  
Gulf Region ◽  
Renewable Sources ◽  
Power Sources

This critical review report highlights the enormous potentiality and availability of renewable energy sources in the Gulf region. The earth suffers from extreme air pollution, climate changes, and extreme problems due to the enormous usage of underground carbon resources applications materialized in industrial, transport, and domestic sectors. The countries under Gulf Cooperation Council, i.e., Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates, mainly explore those underground carbon resources for crude oil extraction and natural gas production. As a nonrenewable resource, these are bound to be exhausted in the near future. Hence, this review discusses the importance and feasibility of renewable sources in the Gulf region to persuade the scientific community to launch and explore renewable sources to obtain the maximum benefit in electric power generation. In most parts of the Gulf region, solar and wind energy sources are abundantly available. However, attempts to harness those resources are very limited. Furthermore, in this review report, innovative areas of advanced research (such as bioenergy, biomass) were proposed for the Gulf region to extract those resources at a higher magnitude to generate surplus power generation. Overall, this report clearly depicts the current scenario, current power demand, currently installed capacities, and the future strategies of power production from renewable power sources (viz., solar, wind, tidal, biomass, and bioenergy) in each and every part of the Gulf region.

scholarly journals Experimental Studies on an Inclined Collector Divergent Chimney Pilot Plant

2021 ◽  
Vol 850 (1) ◽  
pp. 012008
Author(s):  
N Rajamurugu
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Low Cost ◽  
Renewable Energy Sources ◽  
Experimental Studies ◽  
High Mass ◽  
Energy Sources ◽  
Solar Pv ◽  
Solar Chimney ◽  
Energy Agency

Abstract Renewable energy sources become suitable valid options to reduce the dependency on fossil fuels or petroleum products. The International Renewable Energy Agency reports that the world will harvest 40% of energy from renewable energy sources by 2030. Conventional technologies such as solar PV technology, consumes higher capital per unit (kWh) of electricity generation cost significantly higher than the traditional sources. Hence, solar chimney power generation system can be suitable option for generating low cost energy. Solar chimneys are developed and tested by different researchers in enhancing the performance of the system. Studies on the geometric modifications of the collector, and chimney are limited. The aim of this paper is to analyse the experimental data obtained from a divergent solar chimney. Experimentation is carried under sunlight in an open atmosphere. The airflow rates in the chimneys are tested under different collector outlet height. The experimental results showed that a chimney with higher collector openings was performed well than other models. The computational analysis is also carried out using ANSYS Fluent software package which shows that the collector opening of 2.5m is recommended for higher high mass flow rate and system efficiency.

scholarly journals A Review of the Use of Artificial Neural Network Models for Energy and Reliability Prediction. A Study of the Solar PV, Hydraulic and Wind Energy Sources

2019 ◽  
Vol 9 (9) ◽  
pp. 1844 ◽  
Author(s):  
Jesús Ferrero Bermejo ◽  
Juan F. Gómez Fernández ◽  
Fernando Olivencia Polo ◽  
Adolfo Crespo Márquez
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Renewable Energy ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Operating Conditions ◽  
Energy Sources ◽  
Solar Pv ◽  
Ann Models ◽  
Artificial Neural

The generation of energy from renewable sources is subjected to very dynamic changes in environmental parameters and asset operating conditions. This is a very relevant issue to be considered when developing reliability studies, modeling asset degradation and projecting renewable energy production. To that end, Artificial Neural Network (ANN) models have proven to be a very interesting tool, and there are many relevant and interesting contributions using ANN models, with different purposes, but somehow related to real-time estimation of asset reliability and energy generation. This document provides a precise review of the literature related to the use of ANN when predicting behaviors in energy production for the referred renewable energy sources. Special attention is paid to describe the scope of the different case studies, the specific approaches that were used over time, and the main variables that were considered. Among all contributions, this paper highlights those incorporating intelligence to anticipate reliability problems and to develop ad-hoc advanced maintenance policies. The purpose is to offer the readers an overall picture per energy source, estimating the significance that this tool has achieved over the last years, and identifying the potential of these techniques for future dependability analysis.

scholarly journals Assessing Renewable Energy Sources for Electricity (RES-E) Potential using a CAPM-Analogous Multi-Stage Model

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3599 ◽  
Author(s):  
Martinez-Fernandez ◽  
deLlano-Paz ◽  
Calvo-Silvosa ◽  
Soares
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Carbon Capture ◽  
Renewable Energy Sources ◽  
Carbon Capture And Storage ◽  
Offshore Wind ◽  
Energy Sources ◽  
Low Carbon ◽  
Multi Stage ◽  
The Cost

Carbon mitigation is a major aim of the power-generation regulation. Renewable energy sources for electricity are essential to design a future low-carbon mix. In this work, financial Modern Portfolio Theory (MPT) is implemented to optimize the power-generation technologies portfolio. We include technological and environmental restrictions in the model. The optimization is carried out in two stages. Firstly, we minimize the cost and risk of the generation portfolio, and afterwards, we minimize its emission factor and risk. By combining these two results, we are able to draw an area which can be considered analogous to the Capital Market Line (CML) used by the Capital Asset Pricing model (CAPM). This area delimits the set of long-term power-generation portfolios that can be selected to achieve a progressive decarbonisation of the mix. This work confirms the relevant role of small hydro, offshore wind, and large hydro as preferential technologies in efficient portfolios. It is necessary to include all available renewable technologies in order to reduce the cost and the risk of the portfolio, benefiting from the diversification effect. Additionally, carbon capture and storage technologies must be available and deployed if fossil fuel technologies remain in the portfolio in a low-carbon approach.

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