Transcript Alternative Energy Vehicle

MODELING THE ENERGY
INFRASTRUCTURE FOR THE STATE
OF IOWA
DEC09-02
Mubarak Abbas (E E)
Austin Lyons (E E)
Muhammad Rahim (E E)
Mohammed Ahmed (E E)
Faculty Advisor
James McCalley
PROBLEM/NEED STATEMENT

The state of Iowa needs to make investment
decisions to meet increasing demands on its
energy infrastructure. To make educated
decisions, a comprehensive and interactive
model of the state’s energy infrastructure is
needed. Such a model currently does not exist.
AUDIENCE
Engineers
 Government
 City/Regional/State Planners
 Entrepreneurs
 Educators
 Ordinary Citizens

MARKET/LITERATURE SURVEY
First project of it’s kind for the state of Iowa
 Based on a similar project on the national level
(NETSCORE 21)
 Used our advisor (a principal investigator for
NETSCORE 21) as our main reference
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CONCEPT DESCRIPTION
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Solution
Acquire energy data for Iowa
 Create a system for visualizing this data
 Integrate data with existing software to perform
analysis
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SYSTEM DESCRIPTION
FUNCTIONAL REQUIREMENTS

Data

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Create an interactive database of Iowa energy data
from 2001 to 2006
Visualization
Design a system for visualizing
 power generation, transmission line, energy
resource data
 System will need to be:
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interactive, easy to use, free, platform independent
Analysis

Use Wien Automatic System Planning Package
(WASP-IV) with generation data to perform
generation system expansion planning
NON-FUNCTIONAL REQUIREMENTS
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Data

Energy Resources
 type
coal
 hydro
 wind
 biomass/bio-fuel
 solar
capacity
investment costs
operating costs
efficiency
expected life
reliability
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USER INTERFACE DESCRIPTION
Data & Visualization: User interface must be
easy for anyone, regardless of prior knowledge, to
interact with
 Analysis: Determined by choice of existing
software (WASP-IV)
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SYSTEM DESCRIPTION

Data

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Develop an inventory of the existing energy infrastructure of
Iowa by acquiring data and storing it in .csv files
Visualization
Use Google Earth to visualize data
 Create data conversion program to convert .csv file to a format
which Google Earth can read (.kml)

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Analysis

Use Wien Automatic System Planning Package (WASP-IV)
with generation data to perform generation system expansion
planning
OPERATING ENVIRONMENT
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Data: platform independent
Store data as comma separated value (.csv) files
 Can edit .csv files in Microsoft Excel or any other spreadsheet
software. Can also edit in any text editor.
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Visualization: platform independent
Google Earth can run on a PC, Mac, or Linux
 Data conversion program (will be discussed later) is written in Java,
which runs on PC, Mac, or Linux
 Data can be viewed in a web browser
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Analysis: Determined by existing software
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WASP-IV – Windows
WORK BREAKDOWN
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Acquire data
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Get maps & data from EIA, IOWA UTILITY, MEC (through Dr. McCalley)
Convert data into .csv format
 Manually converted map to spreadsheet by writing down the starting and
ending cities for each line, then looking up the coordinates for each city
Write, test, document data conversion program
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Learn how to create Java GUI
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Create website for viewing data
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Integrate data with WASP-IV
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Obtain and install WASP-IV
Figure out how to use WASP-IV
Obtain any missing data regarding the LDC, spinning reserves, forced outage
rates, and other specific information regarding plants
Create presentations, reports, and fulfill other Senior Design
requirements
VISUALIZATION
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Data conversion program
How it works
 How it was created
 How it was tested
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Documentation
 Website
 Deliverables
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VISUALIZATION – HOW IT WORKS
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Data conversion program
Input: .csv (comma separated file)
Output: .kml (Google Earth file)
CSV file
KML file
VISUALIZATION – HOW IT WORKS
Reads the .csv file and stores each row of data as
a Point object or a Line object
 Point object
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Name, Longitude, Latitude, Description
Line object
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Start City, End City, Start Longitude, Start Latitude,
End Longitude, End Latitude
VISUALIZATION – HOW IT WORKS
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1.
2.
3.
Ex: Line Data
Check whether input file exists and can be opened
Check if input file actually contains line data
Parse data one row at a time, storing correctly
formatted rows as a line object
1.
4.
5.
6.
7.
If data incorrectly formatted, print to error log
Open output file, print KML header
For each stored line object, print data in KML form
Finish & close KML file
Let user know if successful or not
VISUALIZATION – HOW IT WORKS
Psuedocode
while(ArrayList<Line> has more elements)
LineObject = ArrayList<Line>.removeObject()
print to file “<coordinates>” +
LineObject.getStartLatitude(),
LineObject.getStartLongitude(),
LineObject.getEndLatitude(),
LineObject.getEndLongitude() + “</coordinates>”
VISUALIZATION – NETWORK DATA
VISUALIZATION – LOCATION DATA
VISUALIZATION – HOW IT WORKS
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Error handling
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Input file can’t be opened, doesn’t contain line/point data
Skip incorrectly formatted data (don’t output to KML)
Print message to error log (name_of_file_errorLog.txt)
VISUALIZATION – HOW IT WAS CREATED
Created using NetBeans IDE
 Written in Java
 Aimed for concise code that is easy to maintain
and easy to extend
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~1200 lines of code total
VISUALIZATION - TESTING
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Test all possible input scenarios according to formatting
guidelines
Create a spreadsheet for each test
Run program, check that program doesn’t blow up and that
output is correct
Example
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Test003.csv: Allow empty “Start City” (no name for start city)
Test005.csv: Throw out element if “Start Latitude” is missing or is not a
number between -180 and 180 – print error to log
Test016.csv: Check that additional data is appended in the “description”
section
VISUALIZATION – WEBSITE
VISUALIZATION
DOCUMENTATION & DELIVERABLES
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Documentation
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Line data formatting guide
Point data formatting guide
Basic instructions
Testing instructions
Javadoc
Deliverables
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Data conversion program
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Source code
Executable
Tests
Documentation
Website
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Source code
Documentation
FUTURE WORK
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Add functionality for visualizing gradient maps
Create a web based version of data conversion
program
ANALYSIS
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Wien Automatic System Planning (WASP-IV)
How it works
 How it was tested

Documentation
 Deliverables
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ANALYSIS - HOW IT WORKS
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WASP-IV takes in the data for LOADSY,
FIXSYS, VARSYS, CONGEN, MERSIM and
DYNPRO to perform generation system
expansion planning
Focus was primarily on
LOADSY, FIXSYS, and
VARSYS
ANALYSIS - HOW IT WORKS (LOADSY)
LOADSY describes the load characteristics of the
system for each year of the study period
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Input
Output
ANALYSIS – HOW IT WORKS (FIXSYS)
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FIXSYS describes the committed (fixed) state of
the generating system for each year in study
Input
Output
ANALYSIS – HOW IT WORKS (VARSYS)
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VARSYS describes the alternative plants which
can be used for system expansion
Input
Output
ANALYSIS - TESTING
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The testing for the analysis will be made by using
the forecasted data for 2008 and comparing it
with the actual data for 2008. If the energy
demand data is correctly forecasted within +/-1015%, it will prove that the software and the input
data are accurate (or very close)
ANALYSIS - DOCUMENTATION
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Detailed instructions for
LOADSY
 FIXSYS
 VARSYS
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CONGEN
 MERSIM
 DYNPRO
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Testing instructions
ANALYSIS - DELIVERABLES
Documentation
 All accumulated data from 2 semesters
 WASP-IV Input Data
 Output
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Results
Testing
FUTURE WORK (ANALYSIS)
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Add and input data for the remaining
routines/subroutines
LESSONS LEARNED
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Calling Mid-American Energy, introducing
yourself as (Mohammed, Muhammad, Mubarak),
and asking for power line data is a bad idea.
Working with and utilizing real data for practical
purposes.
CONCLUSION
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In conclusion, we obtained energy infrastructure
data for the state of Iowa and created a system
for visualizing and analyzing this data.
QUESTIONS?