Transcript Document 7432422

Implementation of ISGE/ISEMIC model on
Faculty of Technical Sciences Novi Sad
ALEKSANDAR ANĐELKOVIĆ,
FACULTY OF TECHNICAL SCIENCES, NOVI SAD
Introduction
INTELLIGENT INFORMATION
SYSTEM FOR MONITORING
AND VERIFICATION OF ENERGY
MANAGEMENT IN CITIES
CROATIA
SERBIA
BOSNIA & HERZEGOVINA
SLOVENIA
UNDP EE CROATIA
Introduction
PROJECT GRANTOR
SEE-ERA.NET PLUS
COORDINATOR OF PROJECT
FER-ZVNE
Zagreb, Croatia
FTS
Novi Sad, Serbia
MEF
Sarajevo, BIH
IJS
Ljubljana, Slovenia
UNDP CROATIA
Zagreb, Croatia
Introduction
In the residential and service sector, information on energy and water consumption is
commonly only provided on a monthly or bi-monthly basis. Frequently the recipient of
the information has no benchmark to assist in determining whether consumption
levels are normal or excessive.
This paper presents implementation of ISEMIC model on Faculty of Technical
Sciences (FTS) in Novi Sad. This web application connects processes of gathering
data on buildings and their energy and water consumption, monitors consumption
indicators, detects all anomalies in time, sets energy efficiency targets and reports
energy and water consumption savings.
FTS first in Serbia (educational sector) installed smart meters for gathering
information about energy and water consumption. All the data are stored on SCADA
which is connected to ISEMIC application. This concept of energy management
enables huge potential for energy and water savings on FTS.
Scope of Research
Improving the efficiency of energy consumption is a central theme of any energy
policy. Improved energy efficiency meets three energy policy goals:
1. security of supply,
2. competitiveness and
3. protection of the environment.
Systematic energy management is a body of knowledge and skills based on an
organizational structure that links people with assigned responsibilities, efficiency
monitoring procedures and continuous measurement and improvement of energy
efficiency. This body of knowledge must be supported by appropriate ICT for
gathering, processing and disseminating data on energy consumption, energy
efficiency targets and information.
Intelligent Information System for Monitoring and Verification of Energy Management
in Cities (ISEMIC) will be a software tool that connects processes of gathering data
on buildings and their energy consumption, monitoring consumption indicators,
setting energy efficiency targets and reporting energy consumption savings.
Scope of Research
ISEMIC is upgraded version of Energy Management Information System (EMIS) in
which an accent is put on creating a network of people regularly monitoring and
manually entering consumption data in EMIS via the web. Also, EMIS has no smart
meter input capability. These two missing features are the focal point of ISEMIC
development.
Description of ISEMIC web application
ISEMIC application outline is shown on Figure.
1.
2.
3.
4.
5.
Main menu bar
Menu bar – ribbon
Working groups (includes function buttons)
Working cards ribbon
Workspace
Description of ISEMIC web application
ISEMIC is developed in Croatia.
ISEMIC further implements a newly developed methodology for past energy consumption
data analysis using regression analysis, least square method, best-fit lines, scatter trending,
as well as setting and cascading targets using correlation analysis and risk analysis using
probability distribution for planning improvement measures.
Regression analysis shows how a dependent variable – energy consumption – is related to
the independent one – for example (production, temperature…), by providing an equation that
allows estimating energy consumption for the given temperature. The relationship between
production and energy consumption in most cases is in linear form which means that the
relationship between the points in the graph can be approximated by a straight line and
expressed by a linear equation (y=a·x+b).
If constant values (a and b) are calculated by the least square method the resulting line will go
through the center of data scatter and therefore is called a best-fit line.
Description of ISEMIC web application
Relationship between production and energy consumption
Description of ISEMIC web application
ISEMIC calculates energy savings in the same way every day/month/year, and
adds the daily/monthly/yearly savings. Cumulative sum (CUSUM) presents accrued
differences for each day/month/year, and is calculated by adding the accrual from
the previous day/month/year. CUSUM graph expresses savings at any time and
enables a direct comparison with the target amount of energy that should be saved.
Description of ISEMIC model on FTS Novi Sad
FTS installed smart meters in building called ‘’Masinski institut (MI)’’. There are six
metering places: one for electrical energy consumption, one for electrical energy
production (PV panels), two for heat energy consumption and two for water
consumption. Description of metering places (SCADA Preview) is shown on Figure.
Description of ISEMIC model on FTS Novi Sad
In summary measure works as follows:
Clorius controller ISC2100 is the basis of everything. ISC 2100 belongs to a family of freely programmable
controllers designed to be scalable from the small to the very large installations. ISC 2100 is well suited to
control meters for heat, electrical and water consumption and can function as a PLC. It communicates with
the Danfoss ECL300 controller placed in two heat substations (allows reading and setting the parameters of
the controller). Inside of Danfoss controller is ECA 71 MODBUS communication module which makes it
possible to establish a RS485 communications with Clorius controller ISC2100. Reading values ​from the
calorimeter MULTICAL 66-CDE is achieved via RS232 communication (built-in communication modules),
and value from the water meter DS TRP MID via pulse input. Clorius controller ISC2100 also communicates
via RS485 communication with the network analyzer in the transformer station EEM-MA200. Inside of
network analyzer EEM-MA200 is built RS485 communication module. Temperature sensor ESM-10 is
installed in reference room and it measures current inside temperature. Clorius controller ISC2100 is
connected to our Ethernet (LAN) network and communicates with the computer that is running SCADA
applications (Wonderware In Touch 2012 SCADA system). It can be accessed to each controller by IP
address from any computer in local network via a web browser, or from remote location if it is allowed to
access the network from outside. The computer sends required reports (readings from metering devices) to
the server in Zagreb. Data processing software (ISEMIC) is installed on that server.
FTS from its resources and donor funds managed to make the first solar power plant (PV) to produce
electricity. Photovoltaic filed makes two strings of 20 panels, connected in series, with individual nominal
power of 240 Wp. PV inverter nominal output power is 8kW. Production information of electricity, as well as
meteorological data conditions that prevailed during the electricity production are recorded, processed and
stored on the SCADA system.
Description of ISEMIC model on FTS Novi Sad
Clorius controller ISC2000
Description of ISEMIC model on FTS Novi Sad
Danfoss ECL300 controller and ECA71 MODBUS with RS485 communication module
Description of ISEMIC model on FTS Novi Sad
Water meter DS TRP MID and Network analyzer EEM-MA200
Description of ISEMIC model on FTS Novi Sad
Calorimeter MULTICAL 66-CDE with RS232 communication module
Results
Energy and water consumption data of “Masinski institute (MI)” belong to Faculty of
Technical Sciences (FTS) are entered from bills during period from 2009 to first half
of 2012 into the ISEMIC application and some of the obtained figures are presented
below.
The first figure shows the share of each energy type in total cost with tax for each
year. Next three figures show electricity, heat and water total consumption of MI for
each year. It is also possible to view total cost with tax, monthly consumption and
monthly cost with tax for each energy type.
Next figures show monthly CO2 emissions and primary energy consumption during
period from 2009 to first half of 2012 caused by heat consumption. It is also possible
to view monthly CO2 emissions and primary energy consumption caused by
consumption of other energy types.
More grained energy and water consumption data will be available after the
establishment of smart metering infrastructure which will start from 1st of November
2012.
Results
Share of each energy type in total cost with tax in din and total electricity consumption in kWh for 2009, 2010, 2011 and half of 2012
Results
Total heat consumption in kWh and total water consumption in m3 for 2009, 2010, 2011 and half of 2012
Results
Total CO2 emissions in t and total primary (heat) consumption in kWh for 2009, 2010, 2011 and half of 2012
Results
Total CO2 emissions in t and total primary (electricity) consumption in kWh for 2009, 2010, 2011 and half of 2012
Conclusions
It is expected that ISEMIC will improve energy efficiency in buildings, raise building
users' awareness of energy consumption and utilize measurements from smart
meters.
Examples from praxis show that introducing an energy consumption monitoring
system raises employee awareness on energy expenditure, which leads to 5% of
energy and water savings without any additional investments in energy efficiency
measures.
After full ISEMIC implementation and implementation of some simple energy
efficiency measures it is expected that energy and water savings will reach at least
10% of current consumption expenses of all project partners.
The potential impact of this project is very large and it would be a great example how
significant savings can be achieved by systematic energy monitoring and
management provided by the use of ISEMIC. After successful project finish it is
expected that city, county or ministry will show higher interest to connect public
buildings in their ownership with the ISEMIC web application and start systematic
energy monitoring and management.
Connection of private buildings with ISEMIC is expected in further future.
Thank you for your attention
Questions???