ieee alternate energy presentation may 3 2012 urs corp southfield mi michelle rogers ian hutt
Download
Skip this Video
Download Presentation
IEEE Alternate Energy Presentation May 3, 2012 URS Corp., Southfield, MI Michelle Rogers & Ian Hutt

Loading in 2 Seconds...

play fullscreen
1 / 39

IEEE Alternate Energy Presentation May 3, 2012 URS Corp., Southfield, MI Michelle Rogers & Ian Hutt - PowerPoint PPT Presentation


  • 82 Views
  • Uploaded on

Using locational marginal prices to estimate real-time emissions from electricity use. IEEE Alternate Energy Presentation May 3, 2012 URS Corp., Southfield, MI Michelle Rogers & Ian Hutt. Team Background. Michelle Rogers

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' IEEE Alternate Energy Presentation May 3, 2012 URS Corp., Southfield, MI Michelle Rogers & Ian Hutt' - inga


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
ieee alternate energy presentation may 3 2012 urs corp southfield mi michelle rogers ian hutt

Using locational marginal prices to estimate real-time emissions from electricity use

IEEE Alternate Energy Presentation

May 3, 2012

URS Corp., Southfield, MI

Michelle Rogers & Ian Hutt

team background
Team Background
  • Michelle Rogers
    • Master’s student at Wayne State studying Civil & Environmental Engineering
    • B.S. Chemical Engineering from Michigan State
  • Ian Hutt
    • Electric Engineer at Commonwealth Associates, Inc
    • Expertise in electrical power systems & power marketing
team background1
Team Background
  • Other Team Members:
    • Wayne State: Dr. Carol Miller, Dr. Caisheng Wang, Dr. McElmurry, Tim Carter
    • Commonwealth Associates: Stephen Miller
    • TYJT: AwniQaqish, Steve Jin, Carrie Smalley
outline
Outline
  • Introduction to the project
  • How project was started
    • Purposes of development
  • How it works
    • LMP
    • Marginal Generating Unit
    • Emissions
  • Application for water distribution systems
  • Wider applications: household electricity use
    • HERO smartphone App
introduction
Introduction
  • Algorithm estimates real-time emissions based on locational marginal price (LMP)
  • Started as a project for sustainable water delivery
  • Also has wider implications / uses
why was this project started
Why was this project started?
  • GLPF, Great Lakes Protection Fund grant
    • Grant title: “Real-Time System Optimization for Sustainable Water Transmission and Distribution”
    • Purpose: minimize environmental impacts to the Great Lakes
    • Optimize energy use in water system distribution (pumping)
why was this project started1
Why was this project started?
  • GLPF, Great Lakes Protection Fund grant
  • Became clear that emissions, not just energy use, was the key in minimizing environmental impact
  • Not all energy use is equal (from emissions standpoint)
    • Emissions vary with type of generation fuel
    • Depends on time and location
applications
Applications
  • Not all energy use is equal (from emissions standpoint)
    • Any power user that has ability to vary timing of energy use could save emissions
    • Timing does not affect economics, but could still affect emissions
    • Industrial or commercial users that have storage capacity (like compressed air or pumps)
methodology
Methodology
  • Use LMP to predict the marginal fuel type
  • Calculate emissions associated with that fuel type for a specific area
locational marginal prices
Locational Marginal Prices
  • LMPs available from MISO
    • (Midwest Independent System Operator)
  • LMPs for select Commercial Pricing Nodes (CPNs) available every 5 minutes
slide11

Locational Marginal Prices

  • LMPs based on marginal cost of supplying the next increment of electric demand at a specific location
  • LMP Accounts for:
    • generation marginal cost (fuel cost)
    • physical aspects of transmission system (constraint in transmission lines)
    • Cost of marginal power losses
locational marginal prices3
Locational Marginal Prices
  • Key Assumptions:
  • Any change in electricity use is small enough to not affect generation mix
  • LMP cost takes into account electrical transmission constraint
  • Model predicts the marginal unit type
locational marginal prices4
Locational Marginal Prices
  • LMP Accounts for:
    • physical aspects of transmission system (constraint in transmission lines)
    • Within a small focus area, can assume constraint in the physical transmission system = ~ zero
    • Cost of marginal power losses
    • Assume marginal power losses = ~ zero
    • Generation marginal cost (fuel cost)
    • Left with LMP = ~ fuel cost
slide16

Locational Marginal Prices

  • LMP = ~ fuel cost

Price ($/MWh)

LMP at time ti

Hydro & Nuclear Coal Natural Gas Oil

fuel prices
Fuel Prices
  • LMP = ~fuel cost
  • Find fuel price data (EIA – public sources)
      • Heat Rate (efficiency) of each plant:
      • Weighted average of monthly fuel price calculated from plant fuel purchases
      • Cost of electric generation computed:
fuel prices1
Fuel Prices
  • Get price ranges for Fuel types
    • For Example: DTE Power plants in SE Michigan
  • LMP  Marginal Generator Type  Air Emissions
emission rates
Emission Rates
  • LMP  Marginal Generator Type  Air Emissions
  • Measured Air Emissions Data from EPA’s eGRID
    • (Emissions & Generation Resource Integrated Database)
    • Data on thousands of power plants in the US
  • Sort by EGCL code (Electric Generating Company, Location-Based)
    • i.e., all of DTE-operated plants in SE Michigan
emission rates1
Emission Rates
  • Calculate average emission rate for entire area for each fuel type
  • Example, Detroit Edison: (2008 data)
  • LMP  Marginal Generator Type  Air Emissions
application for water distribution systems
Application for water distribution systems
  • GLPF Grant: “Real-Time System Optimization for Sustainable Water Transmission and Distribution”
  • Emissions estimation algorithm used in optimization program for pumping stations.
  • Two pilot water systems:
hydraulic model
Hydraulic Model
  • Use EPANet hydraulic models
  • Input:
    • Pipe length
    • Pipe diameter
    • Demand at each node
    • Diurnal demand pattern
    • Pump power
    • Pump efficiency curves
    • Elevation
    • Tanks and reservoirs
hydraulic model1
Hydraulic Model
  • City of Monroe
sustainable water transmission
Sustainable Water Transmission
  • Need to combine:
  • Hydraulic Model + Emissions Estimation Model
  • PEPSO: Pollutant Emissions Pump Station Optimization
  •  Uses hydraulic model to output optimized pumping schedule
    • Optimization based on:
      • Emissions
      • Energy Cost
      • Pressure constraints in system
pepso output
PEPSO Output
  • Energy use per hour for each pump station.
  • Pounds of pollutant emissions per hour for optimized operation of each pump station.
  • Pressure violations, if any.
sustainable water transmission1
Sustainable Water Transmission
  • PEPSO will be used to evaluate many scenarios
    • High/low demand
    • Different pollutants
    • Availability of raised storage
    • Optimization based on cost vs. emissions
  • Use as a tool to make policy and operational recommendations
reaching a broader audience the hero app
Reaching a broader audience: the HERO app
  • HERO = Home Emissions Read-Out
  • (LMP  Marginal Generator Type  Air Emissions)
  • Applying this concept to household energy use
  • App for smart phones
slide34
HERO
  • Uses location to determine marginal emissions in real-time
  • Knowledge of current emissions empowers consumers to reduce emissions just by changing the timing of electricity use
hero input
HERO Input
  • HERO can automatically find nearest CPN based on phone’s GPS
  • User also has choice to pick location from map
hero output
HERO Output
  • Current, Past, and Projected Future emissions
  • CO2, NOX, SOX, Mercury, Lead
hero output1
HERO Output
  • User can view more to see background information on CO2, NOX, SOX, Mercury, Lead
  • Environmental Effects, Human Health Effects
  • Example: NOX & SOX
hero status
HERO Status
  • Still under development
  • Preliminary version should be finished in Fall
  • After small test audience makes recommendations, fix all bugs, then beta version release in Google Play App Store
ad