Educational Technologies in
Energy Efficiency Training
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K.D.Seymenliyski
S.A.Letskovska
R.R.Simionov
E.D. Zaerov
Burgas free university/Faculty of Computer Science and Engineering, Burgas, Bulgaria
❑ Intelligent learning
environment in renewable
energy to integrate into the
e-learning system]
❑ Smart devices for
monitoring and controlling
two photovoltaic plants
using a complex weather
station.2
❑ Flexible interactive
educational
environment;
❑ Personalized
education;
❑ Access to information
from / to anywhere in
the world.
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SMART EDUCATION
❑ Students Will be able to acquire the necessary
professional qualification;
❑ Adapted to courses with continually updated content.
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SMART
LEARNING
TRAINING ❑ Optimizing the cost of
building the necessary
material and technical
facilities of laboratories
and the training
environment;
❑ Achieving higher
quality of training.5
❑ Regardless of time and location;
❑Mobile;
❑ Continuous;
❑With simple access to information;
❑ individual parameters for each student.6
CREATING A SMART STRUCTURE IN BSU
PHOTOVOLTAIC PLANT
❑ Photovoltaic plant with two
strings, each with eight modules,
each module having a power of
238 Wp;
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❑BFU-METEO - a system for monitoring the parameters of solar
radiation, temperature and wind.
DEVELOPMENT IN RECENT YEARS
❑ The data are stored on a
server;
❑ „Weather” - software for data
visualization;
➢ MySql;
➢ Access.
❑ FRONIUS Datalogger Web.
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Meteo.Logger.AccessViewer andMeteo.Logger.MySQLViewer
❑Output complex graphic.
There is possibility for
creation of complex graphic
for chosen periods of time
and data table.
MONITORING AND ASSESSING THE ENERGY
POTENTIAL OF SOLAR ENERGY
❑ The server is deployed in a dedicated learning lab ;
❑ Connected to the university computer network.9
SMART DEVICES FOR THE
INTERNET OF THINGS
❑ Sensors ;
❑ Recording
device
(datalogger);
❑ QMeteoLogger;
❑ Saved
emissions 10
THE INTERNET OF THINGS AT
THE UNIVERSITY
❑ Data conversion program from a
text in a format suitable for
database;
❑ Creates tables with columns time /
value;
❑ Writes to the databases.
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Download current sensor data
processData
Access Database
MySQL Database
Azure Database
5 minute delay
Save to databases
❑ Accesses the archived values
in databases;
❑ Allows to output values of the
parameters;
❑ Displays graphs for observed
parameters for specific periods
of time;
❑ Save the data in access
databases.12
Meteo.Logger.AccessViewer and
Meteo.Logger.MySQLViewer
User Choice
User Timecpan Choice
Download Access database backup from Goodle Drive
Database
Open
User Choice
Generate Chart
Save to Excel file
Save to new
Access database
Save Chart to Excel file
Save Chart to
JPEG
The Web page BFU Meteo Station
❑ Outputs current data on
➢ Air temperature;
➢ Wind speed;
➢ Solar radiation;
➢ Power generation;
➢ Carbon dioxide;
➢ Sulfur dioxide;
➢ Nitrogen oxides.
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DATA OF THE
GENERATED
ELECTRICITY
AND THE
SAVED
EMISSIONS
❑ Parallel operation of two photovoltaic power plants and synchronous
generators is observed;
❑ The operational reliability of photovoltaic panels is investigated by
monitoring the amount of electricity generated under similar weather
conditions. 14
CONCLUSION:
❑ Laboratory cluster for monitoring the parameters of electrical
equipment ;
❑ Parameters characterizing normal modes of operation and
impact on the environment will be observed;
❑ Data storage on a server and in a cloud environment.
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THANKS FOR
YOUR ATTENTION
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