Ieee alternate energy presentation may 3 2012 urs corp southfield mi michelle rogers ian hutt
Download
1 / 39

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


  • 78 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

IEEE Alternate Energy Presentation

May 3, 2012

URS Corp., Southfield, MI

Michelle Rogers & Ian Hutt


Team background
Team Background emissions from electricity

  • 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 emissions from electricity

  • 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 emissions from electricity

  • 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 emissions from electricity

  • 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? emissions from electricity

  • 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? emissions from electricity

  • 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 emissions from electricity

  • 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 emissions from electricity

  • 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 emissions from electricity

  • LMPs available from MISO

    • (Midwest Independent System Operator)

  • LMPs for select Commercial Pricing Nodes (CPNs) available every 5 minutes


Locational Marginal Prices emissions from electricity

  • 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 prices1
Locational Marginal Prices emissions from electricity


Locational marginal prices2
Locational Marginal Prices emissions from electricity


Locational marginal prices3
Locational Marginal Prices emissions from electricity

  • 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 emissions from electricity

  • 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


Locational Marginal Prices emissions from electricity

  • LMP = ~ fuel cost

Price ($/MWh)

LMP at time ti

Hydro & Nuclear Coal Natural Gas Oil


Fuel prices
Fuel Prices emissions from electricity

  • 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 emissions from electricity

  • Get price ranges for Fuel types

    • For Example: DTE Power plants in SE Michigan

  • LMP  Marginal Generator Type  Air Emissions


Emission rates
Emission Rates emissions from electricity

  • 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 emissions from electricity

  • 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 emissions from electricity

  • 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 emissions from electricity

  • 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 emissions from electricity

  • City of Monroe


Hydraulic model2
Hydraulic Model emissions from electricity

  • DWSD


Sustainable water transmission
Sustainable Water Transmission emissions from electricity

  • 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 input load hydraulic model
PEPSO Input: Load Hydraulic Model emissions from electricity




Pepso input select pollutants of interest
PEPSO Input: Select Pollutants of Interest emissions from electricity


Pepso output
PEPSO Output emissions from electricity

  • 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.


Pepso output1
PEPSO Output emissions from electricity


Sustainable water transmission1
Sustainable Water Transmission emissions from electricity

  • 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 emissions from electricity

  • HERO = Home Emissions Read-Out

  • (LMP  Marginal Generator Type  Air Emissions)

  • Applying this concept to household energy use

  • App for smart phones


HERO emissions from electricity

  • 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 emissions from electricity

  • HERO can automatically find nearest CPN based on phone’s GPS

  • User also has choice to pick location from map


Hero output
HERO Output emissions from electricity

  • Current, Past, and Projected Future emissions

  • CO2, NOX, SOX, Mercury, Lead


Hero output1
HERO Output emissions from electricity

  • 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 emissions from electricity

  • 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


Questions
Questions? emissions from electricity


ad