ICF International, Inc. · NASDAQ:ICFI

ICF International — Technical Presentation (2014)

35 slides from ICF International's technical presentation, 2014

  1. Slide 1: TOU Tariff Analysis and Program Development

    TOU Tariff Analysis and Program Development A project of USAID’s Energy Efficiency for Clean Development Program (EECDP) Haider Khan, ICF 2014

  2. Slide 2: Introduction

    Introduction ——_- el 4 ) “ICF

  3. Slide 3: DSM - Energy Efficiency

    DSM - Energy Efficiency  Permanent reduction in consumption  Reduction occurs across most hours of the load curve  May or may not reduce system peak demand  Provides same or better energy service with fewer kWh

  4. Slide 4: DSM - Demand Response

    DSM - Demand Response  Temporary reduction in consumption  Reductions targeted at specific hours, typically coincident with system peak  May be associated with curtailment of service – But may not be perceived as curtailment

  5. Slide 5: Demand Response

    Demand Response  Load Curtailment – Direct load control – Interruptible load control  Dynamic Pricing – Real time Pricing – Time of Use (TOU) – Critical Peak Pricing (CPP)

  6. Slide 6: Demand Response

    Demand Response  Utility-controlled switches on specific devices, e.g. AC units, water heaters – Pro  Quick demand reductions – Cons  Requires large number participation  Generally not applicable to industrial customers. Can be applied to most smaller customers with at least one appropriate load

  7. Slide 7: Types of Demand Response Programs - Interruptible Load

    Types of Demand Response Programs - Interruptible Load  Contract with customers to reduce demand as needed to stabilize grid – Pro  Applicable to industrial customers  Large demand reduction potential – Cons  Requires lead time – good forecasting tools

  8. Slide 8: Types of Demand Response Programs - Time Based Programs

    Types of Demand Response Programs - Time Based Programs  Time of Use: Price electricity higher in peak periods – Can be applied to any customer class  Critical peak pricing: for the highest peak hours – Difficult to implement as require advanced forecasting models  Real time pricing: changes by h

  9. Slide 9: Time of Use Rate Structure

    Time of Use Rate Structure 1600 1400 1200 1000 kWh 800 600 400 200 0 Time of Day • Energy used in the blue shading is charged at off-peak rates • Energy used in the red shading is charged at on-peak rates • On-peak times are for non-holiday weekdays. • Weekends / holidays are always off-peak.

  10. Slide 10: Potential Impact of TOU Rate Structure

    Potential Impact of TOU Rate Structure Current Situation 2000 1500 1000 Industrial 500 Commercial Residential 0 After TOU Implementation 2000 1500 1000 Industrial 500 Commercial 0 Residential

  11. Slide 11: Why ECG Needs to Implement TOU Rate Structure

    Why ECG Needs to Implement TOU Rate Structure  Industrial customers are using high demand end loads during peak hours that can easily be shifted to off-peak hours  Smart Meters provide ECG the ability  Cost of generation varies with demand  It will help stabilize the electricity supply resulting

  12. Slide 12: Sample Industrial Customer Load Review

    MW MW 2 4 8 - 6 - 10 12 14 16 18 10 20 30 40 50 80 90 60 70 12:00 AM 12:00 AM 12:30 AM 12:30 AM 1:00 AM 1:00 AM 1:30 AM 1:30 AM 2:00 AM 2:00 AM 2:30 AM 2:30 AM 3:00 AM 3:00 AM 3:30 AM 3:30 AM 4:00 AM 4:00 AM 4:30 AM 4:30 AM 5:00 AM 5:00 AM 5:30 AM 5:30 AM 6:00 AM 6:00 AM 6:30 AM 6:30 AM 7:00 AM 7:00

  13. Slide 13: How Will ECG's Customers Benefit From TOU Rate Structure

    How Will ECG’s Customers Benefit From TOU Rate Structure  System reliability improvement  The targeted industrial sector will be able to save money

  14. Slide 14: Approach

    Approach  Activity 1: Document Review  Activity 2: Conduct Metering Data Analysis.  Activity 3: Determine Utility Costing Periods and Develop TOU Tariff Strategies  Activity 4: Create Marketing Plan and Support Pilot Rollout

  15. Slide 15: Baseline Energy Use

    Baseline Energy Use @) T T T T 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Year

  16. Slide 16: Electricity Use by Tariff Class

    Electricity Use by Tariff Class

  17. Slide 17: Electricity Sector Revenue Shortfall

    Electricity Sector Revenue Shortfall Year Generation COS Transmission Distribution ECG Revenue ECG Revenue (million US$) COS (million COS (million Requirements, Requirements, ECG US$) US$) COS study (million GHc [million (million US$) US$]) 2014 764 96.4 433 442 3,389.3 [1,118.5]

  18. Slide 18: System Demand (MW)

    System Demand (MW) 0 1000 1500 2000 2500 500 1 339 677 1015 1353 1691 2029 2367 2705 3043 3381 Total System Load 3719 4057 4395 Hour 4733 5071 5409 5747 6085 6423 6761 7099 7437 System Load Review 7775 System Load in Ghana 8113 8451

  19. Slide 19: System Load Review

    System Load Review System Load 1500-1700 MW System Load >1700 MW 40% 35% 30% % of Peak Hours 25% 20% 15% 10% 5% 0% 1 6 11 16 21 Hour of Day

  20. Slide 20: System Load Review

    System Load Review 1800 450 1600 400 1400 350 1200 300 Average MW 1000 250 2013 MW Average CDD 800 200 600 150 2013 Monthly CDD (base 15.5 C) 400 100 200 50 0 0

  21. Slide 21: Literature Review

    Literature Review Algeria 8.2 3 Iran 5.4 3 Israel 21.13 3 Egypt 4.12 2 Jordan 9.2 2 Lebanon 21.2 3 Morocco 13.8 3 Syria 6.5 3 Tunisia 10.1 4 China (Jiangsu) 3.8 3 Korea 3.58 3 South Africa 7.3 3 Taiwan 2.67 3 Thailand 2 2 Turkey 2.59 3 Vietnam 3.12 3 ly USAID Wer

  22. Slide 22: Snapshot of Industrial Electricity Price Elasticity

    Snapshot of Industrial Electricity Price Elasticity Market Date of Own-price Substitution Study Elasticity Elasticity Ontario Canada 1997 -0.07 to -0.09 0.7 to 0.11 CA, NY, and 1984 -0.014 to -0.02 Midwest California US 1983 -0.03 Ontario Canada 1986 N/A Texas US 1984 -1.1 0.21 California US 1983 -0

  23. Slide 23: Analysis

    Analysis Substitution Elasticity 0.02 0.15 0.27 - 0.41 Calculation for Each Combination: Own - On-Peak Consumption Change Price 0.78 Off-Peak Consumption Change Elasticity Revenue Impact - 1.01

  24. Slide 24: Scenario Analysis

    Scenario Analysis Scenario 1 Scenario 2 Scenario 3 (Recommended) Ratio of On-Peak to Off-peak 2 4 8 TOU Off-peak discount 15% 35% 55% Estimated On-Peak Consumption -8% -13% -18% Change Estimated Off-Peak Consumption -1% -2% -6% Change Estimated Revenue Impact 0% -2% -4% Potential System Peak Load 73

  25. Slide 25: Proposed Tariff

    Proposed Tariff LV MV HV HV - Time Periodi Hours Total % Total Mines per Day Hours per Annual Year Hours Current Energy Charge 51.71 40.02 36.80 58.41 All Hours 24 8760 N/A (Ghp/kWh) Proposed Off-Peak Energy 43.95 34.02 31.28 49.65 11 PM to 6 PM 19 6935 79% Charge (Ghp/kWh) Proposed On-Peak Energy 8

  26. Slide 26: Industrial TOU Program Savings & Costs

    Industrial TOU Program Savings & Costs Program Metric 2015 2016 2017 2018 2019 Incremental MW Savings 0 31 36 50 56 Cumulative MW Savings 0 31 36 50 56 Annual Program Costs ($Millions, USD) $0.45 $0.3 $0.3 $0.3 $0.3 Annual Program Costs (Millions GHc) GHC 0 GHc 717 GHc 478 GHc 478 GHc 478

  27. Slide 27: Industrial TOU Program Cost-Effectiveness

    Industrial TOU Program Cost-Effectiveness Utility Cost Test (UCT) Ratio 4.7 Net UCT Benefits ($Millions) $36.6 Net UCT Benefits (Millions GHc) GHS 110.9 Levelized cost per kWh ($) $2.25 Levelized cost per kWh (GHc) GHS 6.8 Levelized cost per kW ($) $10 Levelized cost per kW (1000 GHc) GHS 33.30

  28. Slide 28: Goals/Program Alternatives

    Goals/Program Alternatives Achievable Market Equity Political Program Implementation Net Utility MW Savings Transformation Feasibility Complexity Risk Benefits Potential Potential ($Millions) (Cumulative, 2019) 56 Not applicable. Equity within the High. Low. Start-up Low. Requires $36.6 industrial s

  29. Slide 29: Recommended Next Steps

    Recommended Next Steps  Create marketing brochures to clearly communicate the program details. Implement a voluntary pilot with a small set of industrial customers.  Revise the program based on the findings of the pilot and launch ‘opt-in’ TOU program to build momentum. (3-6 months from program st

  30. Slide 30: Customer Messaging for TOU pricing

    Customer Messaging for TOU pricing  Shift the energy intensive end-use to off-peak hours to save money  If your facility has on-site generation use it during on-peak hours  Manage electricity use for all end-uses; e.g. Charge batteries and fill compressed air tanks at night  Implement an energy

  31. Slide 31: Motivation

    Motivation • Chronic capacity and energy shortages • The recent tariff increase to about US $0.20/kWh can cause an adverse impact on the competitiveness of Ghanaian industries Goal • Provide technical assistance to address load management by developing a Time of Use (TOU) tariff analysis and program

  32. Slide 32: Why Industrial Sector

    Why Industrial Sector  Customers already have the necessary infrastructure in the form of smart meters  Customers electricity demand holds the greatest potential for load modification,  Customers accounts for a high share of the total electricity usage

  33. Slide 33: Potential

    Potential • Various scenarios were analyzed resulting in economic potential demand reduction ranging from 73MW to 167MW. – Due to the already high electricity prices, the scenario that results in the least aggressive pricing is recommended to ensure widespread acceptability. • The recommended tariff

  34. Slide 34: Proposed Rate Structure

    Proposed Rate Structure LV MV HV HV - Time Periodi Hours Total % Total Mines per Day Hours per Annual Year Hours Current Energy Charge 51.71 40.02 36.80 58.41 All Hours 24 8760 N/A (Ghp/kWh) Proposed Off-Peak Energy 43.95 34.02 31.28 49.65 11 PM to 6 PM 19 6935 79% Charge (Ghp/kWh) Proposed On-Peak

  35. Slide 35: Program Recommendations

    Program Recommendations  It is recommended the program be launched as a voluntary pilot for a period of 3-6 months. – The program should be revised based on the outcome of the pilot,  ‘Opt-in’ program should be launched for a period of 12-18 months. – This will give sufficient time for the program

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