scholarly journals Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions

2017 ◽  
Vol 19 ◽  
pp. 01002 ◽  
Author(s):  
Artur Bugała ◽  
Karol Bednarek ◽  
Leszek Kasprzyk ◽  
Andrzej Tomczewski
Keyword(s):  
Statistical Analysis ◽  
Energy Production ◽  
Electric Energy ◽  
Photovoltaic Conversion

scholarly journals Analysis of possibilities to improve quality of spatial wind speed forecasts for efficient forecasting of electric energy production in onshore wind farms in Poland

2019 ◽  
Vol 84 ◽  
pp. 01001
Author(s):  
Paweł Piotrowski ◽  
Dariusz Baczyński ◽  
Marcin Kopyt ◽  
Karolina Szafranek
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Energy Production ◽  
Meteorological Data ◽  
Electric Energy ◽  
Wind Farms ◽  
Bilinear Method ◽  
Explanatory Variables ◽  
Forecasting Methods

The most important factor responsible for the quality of energy production forecasts in wind farms is the accurate wind speed forecast. An extensive statistical analysis of meteorological data (NWP) from 16 base nodes of the "300" grid in the "Łódź" area was made. The intention of the statistical analysis was to select potential explanatory variables for models predicting wind speed in the remaining 206 nodes of the grid’s mesh. Next, tests of selected prognostic methods were performed in order to compare their effectiveness with bilinear method which is not computationally complex. It should be emphasized that the main problem in spatial wind speed forecasting is the very large number of nodes for which the forecasts are calculated. As a consequence, more advanced and computationally complex forecasting methods cannot be applied in practice due to too long calculations time and difficulties in huge amounts of data processing. Conclusions with proposals of preferred forecasting methods that could be used in practice were developed.

scholarly journals Comparação entre sistemas fotovoltaicos em modo fixo e com seguidor em uma instituição pública de ensino no Nordeste do Brasil

2019 ◽  
Vol 1 (46) ◽  
pp. 182
Author(s):  
Baldoino Sonildo Nóbrega ◽  
Waleria Guerreiro Lima ◽  
Raphael Henrique Falcão de Melo ◽  
Edvan Cruz Aguiar ◽  
Rute Cavalcante Pereira ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Energy Production ◽  
Model Simulation ◽  
Tracking System ◽  
Electric Energy ◽  
Simulation Software ◽  
Financial Viability ◽  
Photovoltaic Systems ◽  
Financial Indicators ◽  
Fixed System

<p>The present work has the objective of presenting a fixed and solar tracker photovoltaic systems comparative study, through the technical and financial viability evaluation in a public education institution located in the backlands of the state of Paraíba (Brazil). Through a System Advisor Model simulation software, we estimated the electrical energy production of the systems. Then, we performed a statistical analysis to evaluate the differences between the energy production of the proposed systems. Finally, financial indicators were used to assess which system had better financial viability. The results on performance have shown that the annual production of electric energy for photovoltaic systems with tracking is 32% higher than the fixed system. Statistical analysis proved by hypothesis testing that there is evidence that the tracking system produces more electric energy in relation to the fixed system. As for financial evaluation, the fixed system was more advantageous, since its financial indicators were better in all aspects. The research contributed to a better understanding of the differences between photovoltaic systems in terms of technical, financial and statistical aspects, which may help the decision making when choosing the installation of these systems in the region which is being studied.</p>

An Energy Ontology Focusing on Demand Side Management in Smart Homes

2016 ◽  
Vol 19 ◽  
pp. 124-131
Author(s):  
Beate Naser ◽  
Franziska Schäfer ◽  
Jörg Franke
Keyword(s):  
Energy Production ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Electric Energy ◽  
Smart Homes ◽  
Demand Side Management ◽  
Demand Side ◽  
Conceptual Foundation ◽  
Available Energy ◽  
Solar Power Plants

By increasing the share of renewable energy sources, the volatility of available energy is rising. More and more fluctuating power generation by solar power plants and wind turbines has to be integrated into the power grid. Demand side management (DSM) represents one possible solution to achieve this goal by including energy production and energy consumption simultaneously. In this paper, we especially focus on the field of electric energy in smart homes. Considering the implementation of different DSM devices, an ontology-based approach can serve as a conceptual foundation for a necessary knowledge base. We propose an advanced energy ontology for smart homes, integrating important aspects for a successful DSM. We describe how power producers, storages and consumers are represented in our ontology. Finally, we show the scenario-based utilization of our approach.

Research of Compensating Weights of Cascade Hydropower Stations

2012 ◽  
Vol 198-199 ◽  
pp. 721-725
Author(s):  
Gan Yi Wang ◽  
Xiang Lin Wu ◽  
Hong Sheng Song
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Production ◽  
Electric Energy ◽  
Analytic Hierarchy ◽  
Cascade Hydropower Stations ◽  
Calculation Results ◽  
Hydropower Stations ◽  
Hierarchy Process

The compensation benefits distribution weights model of cascade hydropower stations has been proposed. The method of compensation weights calculation has been discussed. The subjective weights in the station indexes are calculated by analytic hierarchy process and the objective weights by variance coefficient and the combination weights by Topsis. The calculation results will be evaluated. The increased benefits of the system will be distributed by the objective weights. The enthusiasm for electric energy production of each station will be increased because they can receive compensations from the whole increased benefits.

Exergy recovery during LNG regasification: Electric energy production – Part one

2009 ◽  
Vol 29 (2-3) ◽  
pp. 380-387 ◽  
Author(s):  
Celidonio Dispenza ◽  
Giorgio Dispenza ◽  
Vincenzo La Rocca ◽  
Giuseppe Panno
Keyword(s):  
Energy Production ◽  
Electric Energy ◽  
Production Part
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