Ways to display the wind and solar energy

Keywords: local grid, wind power, solar power, mathematical model, visualization, Web application

Abstract

Using wind and solar energy is one of the main trends of
contemporary social development. Designing of energy facilities
must take into account the characteristics inherent in these renewable
energy sources, including dependence on weather conditions.
From a user perspective, the process of energy flow looks
like a random, limited projected. Therefore, the is significant
role of designers experience for analysis of the expected performance
of energy facilities, the ability to assess the extent of
errors and of possible risks. The role of the information presenting
is growing. Visualization of the data is able to facilitate the
choice of mathematical model and promote its adequacy. For
example, for wind power stations present may not be pronounced
diurnal, making feasible the hypothesis of continuity
characteristics averaged over a day. Having graphical representation
facilitates the achievement of such findings and makes them
more visible. Instead, solar energy clearly distinguished day and
night, and the intensity of the cloud can be considered high or
low. Graphical representation of different models of the possible
distribution of radiation compared with the actual histogram
allows drawing preliminary conclusions on their adequacy. Create
a Web application for processing statistical data makes it
possible to solve application problems, including graphical display,
making them as accessible to the user, easy to run fast at
work. As a test, a web application was created, designed for the
processing of statistical data on solar radiation stored in text
form or spreadsheet. The functional application can flexibly change
for various dependences. The application allows you to display
graphically the level of solar radiation during the day for any
month, the average level of insolation, the histogram distribution
of insolation, summary charts and other indicators as needed.
Also the combination of statistical data processing as solar radiation
and wind speed is possible with it Web application.

References

1. Wind energy in Ukraine 2016. Market review. Electronic
resource: http:// uwea.com.ua.
2. Renewable energy. Electronic resource: http://saee.gov.ua.
3. M.Kuznietsov, S.Uzheіko. Probabilistic aspects of renewable
energy using in the Chernobyl Zone // Kyiv, Ukrainian:
Renewable Energy. – 2016, No.3. – P.6-12.
4. M.Kuznietsov. Features to optimize hybrid power systems.
Materials of XVII International Scientific Conference
"Renewable energy and energy efficiency in the XXI century".
2016, Kyiv. – P.102-107.
5. M.Kuznietsov, O.Lysenko. Capabilities of short-term
forecasting of solar energy // Kyiv, Ukrainian: Renewable Energy.
– 2017, No.1. – P.25-32.
6. M.Kuznietsov. Modeling of the wind and solar power
common work. – 2016, № 1. – P.12-16.
7. M.Olsson. Modeling real-time balancing power demands
in wind power systems using stochastic differential equations /
M.Olsson, M.Perninge, L.Soder // Electric power systems research.
– 2010. – No.80. – P. 966–974.
8. M.Kuznietsov. Application of normal distribution to describe
the wind speed // Kyiv, Ukrainian: Renewable Energy. –
2013, No.2. – P.53-58.
9. M.Kuznietsov. Stochastic models of power system containing
wind farms // Kyiv, Ukrainian: Renewable Energy. –
2012, No.1. – P.34-41.
10. S.Uzheіko. Features of the impact of renewable energy
on the electrical grid. Materials of XVII International Scientific
Conference "Renewable energy and energy efficiency in the XXI
century". 2016, Kyiv. – P.163-167.
11. M.Kuznietsov. Some features of autonomous work of
wind and solar power stations // Kyiv, Ukrainian: Renewable
Energy. – 2016, No.2. – P.15-21.
12. Y.D.Arthur, K.B.Gyamfi, S.K.Appiah. Probability Distributional
Analysis of Hourly Solar Irradiation in Kumasi-
Ghana. International Journal of Business and Social Research
(IJBSR), 2013, No.3. – Р.63-75.
13. M.Kuznietsov. Mathematical modeling of wind farms
capacity // Moscow: Alternative Energy and Ecology. – 2013,
No.3. – P.79-83.

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PDF Downloads: 58
Published
2017-06-14
How to Cite
Uzheyko, S. (2017). Ways to display the wind and solar energy. Vidnovluvana Energetika, (2 (49), 34-40. Retrieved from https://ve.org.ua/index.php/journal/article/view/54
Section
Complex Problems of Power Systems Based on Renewable Energy Sources