Educational Technologies in Energy Efficiency Training · 2019. 7. 18. · Burgas free university/Faculty of Computer Science and Engineering, Burgas, Bulgaria ... each module having

Educational Technologies in

Energy Efficiency Training

1

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.

3

SMART EDUCATION

❑ Students Will be able to acquire the necessary

professional qualification;

❑ Adapted to courses with continually updated content.

4

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;

7

❑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.

8

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.

11

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.

13

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.

15

THANKS FOR

YOUR ATTENTION

16