scholarly journals Monitoring Cloud Motion in Cyprus for Solar Irradiance Prediction

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Rogiros D. Tapakis ◽  
Alexandros G. Charalambides
Keyword(s):  
Solar Irradiance ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Cloud Detection ◽  
Cloud Type ◽  
Short Term ◽  
Simple Method ◽  
Solar Systems ◽  
Cloud Coverage ◽  
Cloud Motion

Solar Energy is the feedstock for various applications of renewable energy sources; thus, the knowledge of the intensity of the incident solar irradiance is essential for monitoring the performance of such systems. The major unpredictable factor in defining the solar irradiance and the performance of solar systems is the presence of clouds in the sky. So far, various researchers proposed several models to correlate solar irradiance to cloud coverage and cloud type. The present work describes the development of a simple method for cloud detection and computation of short-term cloud motion. The minimum accuracy of the model was 95% for the prediction of the cloud location seven timesteps in advance with only three cloud images processed. When including the dimensions of the cloud to the accuracy calculation, the minimum accuracy was 88%.

Cloud motion tracking for short-term on-site cloud coverage prediction

2017 ◽  
Author(s):  
D. M. L. H. Dissawa ◽  
M. P. B. Ekanayake ◽  
G. M. R. I. Godaliyadda ◽  
J. B. Ekanayake ◽  
A. P. Agalgaonkar
Keyword(s):  
Motion Tracking ◽  
Short Term ◽  
Cloud Coverage ◽  
Cloud Motion ◽  
Coverage Prediction

scholarly journals PENGARUH KOMPOSISI BIODIESEL TERHADAP KINERJA MESIN DAN EMISI GAS BUANG

2016 ◽  
Vol 11 (3) ◽  
pp. 381
Author(s):  
Martin Djamin ◽  
Soni S.Wirawan
Keyword(s):  
Renewable Energy ◽  
Energy Security ◽  
Energy Production ◽  
Fossil Fuels ◽  
Raw Materials ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Short Term ◽  
Renewable Fuel ◽  
Promising Solution

Renewable energy sources make a distinction as a promising solution towardssustainable and environmentally friendly energy production. Developing biodiesel isvery important for Indonesia due to various reasons including the abundanceavailability of the raw materials; an alternative renewable fuel to strengthen thecountry energy security and it is a solution to improve local air quality in severalIndonesian major cities. Biodiesel offers a realistic short-term alternative tosubstitute fossil fuels, and it will also be a necessary addition to the emissionfree technology for the future. This paper is intended to provide assessment andinvestigation of the use of different composition of biodiesel and its impact to theenvironment.Key words: Energy security, renewable energy, Biodiesel.

scholarly journals Long- and Short-Term Comparative Analysis of Renewable Energy Sources

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3610
Author(s):  
Dawid Buła ◽  
Dariusz Grabowski ◽  
Andrzej Lange ◽  
Marcin Maciążek ◽  
Marian Pasko
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Renewable Energy Sources ◽  
Mass Effect ◽  
Distribution Networks ◽  
Energy Sources ◽  
Short Term ◽  
Starting Point ◽  
Power And Energy

Network working conditions are influenced noticeably by the connection of renewable energy sources to distribution networks. This becomes more and more important due to the increase in renewable energy source penetration over the last few years. This in turn can lead to a mass effect. As a result, the classical open network model with simple unidirectional direction of energy flow has been replaced with an active model that includes many local energy sources. This paper deals with the analysis of long- and short-term changes in power and energy generated by three types of renewable energy sources with similar rated power and which operate in the same region (i.e., located no more than tens of kilometers away). The obtained results can be a starting point for a broader evaluation of the influence of renewable energy sources on power quality in power systems, which can be both positive (supply reliability) and negative (voltage fluctuations and higher harmonics in current and voltage waveforms). It is important not only to correctly place but also to assure the diversity of such sources as it has been confirmed by the source variability coefficient. The long-term analysis allows us also to estimate the annual repeatability of energy production and, furthermore, the profitability of investment in renewable sources in a given region.

An advanced model for the efficient and reliable short-term operation of insular electricity networks with high renewable energy sources penetration

2014 ◽  
Vol 38 ◽  
pp. 415-427 ◽  
Author(s):  
Christos K. Simoglou ◽  
Evaggelos G. Kardakos ◽  
Emmanouil A. Bakirtzis ◽  
Dimitris I. Chatzigiannis ◽  
Stylianos I. Vagropoulos ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Short Term ◽  
Term Operation ◽  
Electricity Networks ◽  
Advanced Model

A New Technique to Improve the Efficiency of Output Power Solar Panel Using PIC 18F4550 Microcontroller

2014 ◽  
Vol 1008-1009 ◽  
pp. 31-34
Author(s):  
Mohd Irwan Yusoff ◽  
W.Z. Leow ◽  
M. Irwanto ◽  
N. Gomesh ◽  
M.R. Mamat ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Solar Irradiance ◽  
Intelligent System ◽  
Cooling System ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Energy Sources ◽  
Pv Module ◽  
A New Technique ◽  
Increasing Temperature

Together with advancement associated with technologies things have gotten simpler and less complicated for people. Automation is usually the employment of manage devices along with details technologies to scale back the need regarding human being do the job inside creation associated with things along with products and services. Solar photovoltaic (PV) technology is regarded as the famous energy source amongst renewable energy sources which in turn that utilize to relieve usage of fossil fuel. PV energy is usually a lot of abundant energy sources among renewable energy. PV technology is change sunlight energy into electrical energy. The performance of electricity of PV module can be affected by solar irradiance and ambient temperature. When PV technology is process solar irradiance, producing lowered performance of PV modules and increasing temperature of PV module. When the temperature of PV module is reach at or more than 35 °C that detected by LM 35, PIC 18F4550 is switched ON the DC cooling system and vice versa. After switch ON the cooling system, the temperature of PV module is reducing. This controller system is an intelligent system because it will run the cooling system automatically when the temperature of PV module reaches setting level that detected by temperature sensors. The higher efficiency of PV cell, the payback period of the system can be shorted and the lifespan of PV module can also be longer.

scholarly journals Short-Term Solar Forecasting Model using Artificial Neural Networks

2020 ◽  
Vol 6 (10) ◽  
pp. 1-6
Keyword(s):  
Solar Irradiance ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Weather Prediction ◽  
Back Propagation ◽  
External Input ◽  
Weather Data ◽  
Forecasting Model ◽  
Solar Forecasting ◽  
Short Term

In present context, Electrical Energy generation in India is mostly based on the conventional sources, but the time has come to be not depend on these conventional sources and to make renewable Energy sources capable of producing total energy demand by its own. So the focus has been shifted towards Wind, Hydro and photovoltaic (PV) power generation. Accurate forecasting of solar irradiance is required for effective and efficient power scheduling & dispatching. And this weather data is needed by the control engineers for planning their control strategies. In this paper a simple approach for weather prediction is proposed which relies on hourly weather data such as Temperature, Relative humidity, surface pressure, wind speed & direction and solar irradiance. The solar forecasting model to predict short-term solar irradiance & other weather parameters, is done by using Leven-berg Marquardt and Bayesian regularization back-propagation algorithms with standard nonlinear autoregressive with external input NARXfeedforward Network. This approachis simple to implement fast in execution and provides good results for short-term time horizon predictions.

scholarly journals The Use of Wood Biomass in the Regional System of Renewable Energy Sources as a Chance for the Region

2017 ◽  
Vol 4 (3-4) ◽  
pp. 67-73
Author(s):  
Andrzej Kluczkowski
Keyword(s):  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Modern World ◽  
Wood Biomass ◽  
Short Term ◽  
Regional Energy ◽  
The World ◽  
Regional System

The world needs energy. It is an obvious truth you do not need to prove. The modern world needs the electricity. With advancing civilization and the rate of consumption, and the demand for electricity is growing. At the same time, conventional resources are running out. This situation leads to the search for new renewable sources of energy. Therefore a crucial role of forests should be taken into consideration. The study shows that, in the relatively short term, the wood biomass (mainly forest) will play a significant role in the regional energy system

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