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Power Play Use the power of simulation to predict the future

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Presentation on theme: "Power Play Use the power of simulation to predict the future"— Presentation transcript:

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

2 Table of contents Power Play Table of contents Team Black
Who is Dominion Power Our Customer Problem Statement Problem Characteristics Current Process Flow Decision Making Challenges Analysis Snapshot 1/3 Analysis Snapshot 2/3 Analysis Snapshot 3/3 Solution Statement Our Solution: Simulation-Based Process Flow Our Solution Gameplay: Scenarios Presented Gameplay: Planning Phase Gameplay: Simulation Phase Gameplay Results Major Functional Components Entertainment Competition: Education Competition: Limitations Questions? Works Cited Table of contents

3 Team Mentor: ’Max’ Siangchokyoo
Team Black Addy Alago Jack Elder David Hescheen Nick Benfield Ryan Rusnak Trai Corte Team Mentor: ’Max’ Siangchokyoo 3

4 Who is Dominion Power Dominion Virginia Power is a Power Company that Supplies and Manage the Distribution of Electricity throughout Parts of Virginia and North Carolina As of 2015, the Total Energy Production provided Dominion to its customers can be accounted by Energy Sources such as Coal, Nuclear Power, Natural Gas, Oil, Hydro, and Other  Renewable Energy Sources For the purpose of this project, Dominion, in Partnership with the Old Dominion University Engineering Management and Computer Science Programs, has funded a team of researchers and web designers to create a simulation-based gaming platform to help train and inform managers of utility companies to become more aware of the strategic decision making process in the field of energy distribution  

5 Utility Companies Our Customer
Electric Companies need a better way to make and analyze decisions regarding their impacts on specific regions before the problems are realized The system will be used by: Electric Company Decision Makers Research Analysts

6 Problem Statement Utility companies need an approach for strategically analyzed decision making within defined geographic regions based upon predefined scenarios. 6

7 Problem Characteristics
Decisions need to be made in response to events affecting regional power plants. Results of decisions can take years to materialize Adjusting decisions a reactive, instead of proactive process Misinformed decisions cost time and money Problem Characteristics 7

8 Strategic Decision Making
Current Process Flow Information from Various Departments within a Corporate Infrastructure at the End of a Fiscal Year Forecasted Information based on Research and Development Operational Performance Financial Performance Forecasted Demands Emerging Technologies Annual Planning Process Annual Performance Review Reliability Challenges Production Efficiency Service Generation Mix Regulatory Pressures Examples of Key Decisions Maintenance of Current Assets Technological Investments Distribution & Transmission Investments Cost Reduction End User Incentives Strategic Decision Making Performance Documentation Observational Period Implementation of Strategic Decision Reference: Strategies& (2015) Time Consuming & Detrimental to Company’s Performance and System Infrastructure Legend: Red- Slow Process, Yellow – Long Wait Periods, Blue – Yearly Process Note: Decisions Process that Occurs Outside of a Company’s Annual Planning Process not Included*

9 Decision Making Challenges
Decisions come with different perils Takes Time Testing Difficult Results can take decades Live environment testing impossible $ Costly $ Mistakes Expensive and hard to reverse Can Be Disasterous Manpower Environment Requires an entire team to research problem Has an impact on the Environment

10 Analysis Snapshot 1/3 $1080 $5098 $6108
Gas $5098 Coal $6108 Nuclear Cost of building a power plant per MW Energy Information Administration, 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 decommissioned today may become unprofitable. Energy Information Administration,

11 New regulations on fossil fuel plants
Analysis Snapshot 2/3 New regulations on fossil fuel plants (lbs CO2/MWh-g) Steam New:1,400 Modified: 1,800 Reconstructed: 1,800 Combustion New/Reconstructed New- Base load natural gas: 1,000 Reconstructed- Non-base load gas: 120 New regulations affect the decision as to which kind of technology to use in the future They also force adaptations to current plants which don’t meet new standards They add another layer to the decision to build new, modify, reconstruct or shutdown EPA's Clean Power Plan,

12 Analysis Snapshot 3/3 Average Price to Customer ($/kW-hr)
Green House Gas Emissions by Technology Cost Per Resource ($/kW-hr) Wind $ Solar $ 0.125 Hydroelectric $ 0.08 Coal $ Natural Gas $ Nuclear $ 0.095 Renewable Energy Sources, World Nuclear Association, Average Price to Customer ($/kW-hr) July July 2016 $ $ Energy Information Administration,

13 Solution Statement Power Play will provide a risk-free simulated environment in which gameplay decisions can affect real world decisions. 13

14 Our Solution: Simulation-Based Process Flow
Strategic Decision Making Our Solution: Simulation-Based Process Flow Automated and Iterative Gameplay Process is to be Representative of Real-World Scenarios Dominion Power Play Users Registrations and Logins User’s Past Decisions and Results Retrieve User Granted Permission to Access Annual Performance Review Forecasted Information Annual Planning Process User Information Stored and Retrieved Decision Information Stored Strategic Decision Making Implementation of Decisions Unit Commitment & Capacity Expansion Model *Simulated Forecast Information Users’ Past Decisions and Gameplay Results Iterative Gameplay Results Stored Simulations Results Stored Presented as Historical Data Forecast Information Provided by External R&D Team Algorithm-Based Platform Provides Decision Options Examples of Forecast Information Energy Cost Forecast Technological Capital Cost Forecast Demand Forecast Utility Company *Dominion Power Initial Scenario Provided Discrete Event Simulation Model Dispatch and Power Flow Simulation Model Modifications to the Gameplay Scenarios Note: Decisions Process that Occurs Outside of a Company’s Annual Planning Process not Included* Legend: Red- Provided by Simulation Engine, Yellow – Data used for Simulation Generation, Blue – Process Replaced by Power Play

15 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. Store and Log information to be further analyzed and implemented

16 Gameplay: Scenarios Presented
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

17 Gameplay: 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

18 Gameplay: Simulation Phase
18 Gameplay: Simulation Phase Simulation Gameplay 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

19 Learning from simulations
Gameplay Results Learning from simulations Reporting Reporting 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 the results of simulated decsions over the long and short term. 76% Plant Uptime 89% Plant Uptime 2013 2014 2015 2016 2017 2018 *Sample reporting

20 Major Functional Components
20 Major Functional Components Simulation Engine models and simulates power plant behavior (not created by Team Black) 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. Annotate with labels Reporting Historical Decisions Simulation Engine Player information Web Server Web Page Front End Gaming Results User devices

21 Entertainment Competition:
We are building something truly unique Entertainment Competition: Power Play Cities: Skylines Sim City Series Electro City Customizable scenarios Yes No Easy To Play Simulation Educational Model’s Decision Making Reporting For Analysis

22 Education Competition:
We are building something truly unique Education Competition: Power Play Electricity Market Game GridLab-D Power Matrix Customizable scenarios Yes No Easily To Play Unknown Simulation Reporting For Analysis Used by Power Companies Educational

23 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 Will not build scenarios Will not simulate the data used in scenarios.

24 Questions? 24

25 Works Cited "EPA's Clean Power Plan." EPA's Clean Power Plan. Dominion Power, n.d. Web. 25 Oct < "Resource Cost." World Nuclear Association. World N, n.d. Web. 25 Oct < Rozenblat, Lazar. "YOUR GUIDE TO RENEWABLE ENERGY." Renewable Energy Sources: Cost Comparison. Web. 25 Oct < "Standards of Performance for Greenhouse Gas Emissions From New, Modified, and Reconstructed Stationary Sources: Electric Utility Generating." Federal Register 205th ser (2015): n. pag. Print. "U.S. Energy Information Administration - EIA - Independent Statistics and Analysis." How Much Does It Cost to Build Different Types of Power Plants in the United States? U.S. Energy Information Administration, 8 Aug Web. 25 Oct < "U.S. Energy Information Administration - EIA - Independent Statistics and Analysis." What Is U.S. Electricity Generation by Energy Source? Energy Information Administration, n.d. Web. 25 Oct < 25


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