1. Dominion Power Play Use the power of simulation to predict the future
Design presentation CS 410 –Black Team October 20th 2016

2. Team Black Team Mentor: ’Max’ Siangchokyoo Addy Alago David Hescheen
Jack Elder
Nathapon ‘Max’ Siangchokyoo
Nick Benfield
Ryan Rusnak
Stephanie Zeil
Trai Corte
Team Mentor: ’Max’ Siangchokyoo

3. Dominion Power The Customer
Dominion power needs a better way to analyze decisions and their impacts on specific regions before those decisions need to be made
The system will be used by:
Dominion Power decision makers
Analysts
Players
Our solution can be adapted for other industries with similar needs

4. Decisions need to be made in response to events affecting regional power plants.
Results of decisions can take years
Adjusting decisions a reactive, instead of proactive process
Wrong decisions cost time and money
The Problem

5. Current Process Flow

6. $ Decisions come with different perils $ Other Challenges Takes Time
Testing Difficult
Results can take decades
Live environment testing impossible $
Costly $
Mistakes
Expensive and hard to reverse
Can Be Disasterous
Manpower
Fear Not
Requires an entire team to research problem
A solution is possible

7. To Build or Not To Build $1080 $5098 $6108
Gas
$5098
Coal
$6108
Nuclear
Cost of building a power plant per MW
Decisions about building or retiring a plant can be influenced by many factors and have long term rippling effects.
A plant not built today may put you behind tomorrow.
A plant not decomissioned today may become unprofitable.

8. Dominion Power Play Our Solution Web Based Simulator
Web Based Simulator
Users will play the role of CEO.
Players presented with realistic scenarios.
Decisions on resource allocations will affect simulated outcomes.
Outcomes will be studied and applied to real life scenarios.

9. Our Solution Players will be given scenarios: New legislation passed
Cost of resources (gas, coal) spikes or drops
Incoming natural disasters
Others can be added to simulations

10. Our Solution Planning phase
Players prepare for the scenario by making changes to power plants in various regions
Variables such as production levels, operating hours, retirement date etc can be set
Informative read only variables presented to player to aid planning

11. Simulation Phase Variables are pushed to the simulation engine
Outcomes are simulated and presented to player
New data and new simulations fed into Web interface for next round

12. Learning from simulations
Reporting
Learning from simulations
Analytics
Reporting and Analytics will be available to show different metrics and outcomes with each simulation.
Best outcomes can be studied and implemented in production environments without spending time and energy.
Potential pitfalls can be avoided by seeing what issues are simulated.
76%
Plant Uptime
89%
Plant Uptime
2013
2014
2015
2016
2017
2018

13. Our Process Flow

14. Major Functional Components
Simulation Engine models and simulates power plant behavior.
SQL server pushes and pulls game variables to and from front end and simulation engine
Web based front end houses the game
Players can play on mobile or pc browser
Analysts can view reporting and outcomes based on simulations.

15. We are building something truly unique
Our Competition:
Power Play
Cities Skylines
Sim City
Series
Kairosoft Story Games
Customizable scenarios
Yes No
Easily modified
Focus on one industry
Able to model decision making
Reporting

16. What Won’t Our Solution Do?
Limitations
What Won’t Our Solution Do?
Will not analyze results.
Will not provide real time gameplay
Will not model without user input

17. Thanks for Watching