MTEP16 Futures Development Workshop 1/15/15

Similar documents
EPA s Clean Power Plan Summary of IPM Modeling Results

9. Integrated Resource Plan and Risk Analysis

2017 Integrated Resource Plan. Portfolio Development Detail September 8, 2016

Year Assessment Preliminary Study Design

RGGI Program Review: REMI Modeling Results

Outlook: U.S. Public Power and Electric Cooperative Sector

MVP Postage Stamp Cost Allocation and Portfolio Requirement Regional Expansion Criteria and Benefits Working Group. September 28, 2017

MJB&A Clean Power Plan Compliance Tool. v 1.0. User Guide M A Y 1 2, (978) /

Resource Planning Update. May 12, 2016 Board Meeting Presentation

Sanford C. Bernstein Strategic Decisions Conference AES CORPORATION. Paul Hanrahan President and Chief Executive Officer. May 31,

2015 Update of the RPU Infrastructure Study

EPA s Proposed Federal Plan and Model Trading Rules. Stakeholder Meeting Iowa DNR Air Quality Bureau November 16, 2015

Projected Impact of Changing Conditions on the Power Sector

Long-Term Reliability Assessment

Generation Retirement Scenario Special Assessment Update

Portland General Electric

Estimating Capacity Benefits of the AC Transmission Public Policy Projects

EIPC Roll-Up Report & Scenarios

2019 Integrated Resource Plan (IRP) Public Input Meeting January 24, 2019

SPO PLANNING ANALYSIS 2015 ENO IRP. Updates for the Final IRP SEPTEMBER 18, 2015

2017 OMS MISO Survey Results June 2017

KEY FINDINGS AND RESOURCE STRATEGY

PJM Analysis. CCPPSTF July 17, PJM 2017

EPA's Clean Power Plan and Interstate Trading Options. PJM Perspective

The Clean Power Plan: Key Choices in the Proposed Model Rules and Federal Plan(s)

GATS Subscriber Group Meeting

New Jersey Reference Case and Policy Scenario Results

APPENDIX B: WHOLESALE AND RETAIL PRICE FORECAST

For the Efficiency Maine Trust October 15, 2009 Eric Belliveau, Optimal Energy Inc.

Long Run Marginal Cost (LRMC)

Entergy Arkansas, Inc Integrated Resource Plan. Follow-Up Materials June 18, 2018 entergy-arkansas.com/irp

Commercial Operations. Steve Muscato Chief Commercial Officer

MISO Cost Allocation Response. RECBWG February 15, 2018

Earnings Conference Call

Recent Electricity Trends and Coal Plant Retirements

BOARD MEETING. Knoxville, Tennessee. August 21, 2014

New York Investor Meetings

Value Driven. Exelon Corporation. Sanford C. Bernstein Conference CO2 Emissions Limits and the Power Sector: How Will Utilities Respond?

Projected Impact of Changing Conditions on the Power Sector

ICForecast: Strategic Power Outlook. Q Sample

December 9, City of Farmington Integrated Resource Planning (IRP)

Using a Carbon Tax to Meet U.S. International Climate Pledges

ISO Transmission Planning Process. Supplemental Sensitivity Analysis: Risks of early economic retirement of gas fleet

Trading- Ready Op/ons and the Final Clean Power Plan

Proposed CATR + MACT. Prepared for: American Coalition for Clean Coal Electricity. Draft May 2011

THE DEPARTMENT OF ENERGY S GRID RESILIENCE PRICING PROPOSAL: A COST ANALYSIS

10 Economic Uncertainty Analysis Probabilistic Analysis and Sensitivities Chapter Overview... 1

May 3, Dear Ms. Bordelon:

Compensation Rules for Climate Policy in the Electricity Sector

I 732. Carbon Pollution Tax. Presentation delivered to PUD Commissioners and at the May 2, 2016, regular public Commission meeting.

PJM & MISO Assumptions and Criteria for Testing of New Resources

Long Run Marginal Cost (LRMC) Ryan Steele Power Supply Planning Specialist

Boston & New York Investor Meetings October 5 & 6, 2015

The AES Corporation Acquisition of DPL Inc. April 20, 2011

New York s Clean Energy Standard. Doreen Harris, NYSERDA December 1, 2016

EE in System Forecasting

Flexible Capacity Requirements for 2020 through 2022

BEFORE THE PUBLIC UTILITY COMMISSION OF OREGON

History of Cost Allocation within MISO RECB TF. January 29, 2015

NRG Energy, Inc. Mauricio Gutierrez Executive Vice President & Chief Operating Officer

ADAPTING THE TARGET MODEL TO VALUE FLEXIBILITY

Northern Indiana Public Service Company 2018 Integrated Resource Planning ( IRP ) Public Advisory Meeting #4 SUMMARY

Tracking Renewable Energy for US EPA s Clean Power Plan: Pathways and Key Unknowns

BEFORE THE PUBLIC UTILITIES COMMISSION OF THE STATE OF CALIFORNIA COMMENTS OF THE CALIFORNIA INDEPENDENT SYSTEM OPERATOR CORPORATION

Uncertainty, Risk and Electricity Sector Planning

Financial Incentives for Deploying Carbon Capture and Storage: Tom Wilson Sr. Program Manager CSLF Financing Roundtable 2010 April 6, 2010

TVA BOARD MEETING AUGUST 22, 2013

2018/2019 Planning Resource Auction Results. Resource Adequacy Subcommittee May 9, 2018

Using Markets to Drive Conservation. Presentation to ACEEE Sheldon Fulton, Director Market Structure April 1, 2008

GLOBAL CLEAN ENERGY INVESTMENT TRENDS. ICCR event February 2015

AES CORPORATION. AES Investor Presentation.

CEO Presentation. Curt Morgan Chief Executive Officer

Carbon Markets and Mexico Key Issues for Market Design

June 2017 LIPA Board Workshop

Update on EPA s Proposed GHG Rule for Existing Power. Clare Breidenich Western Power Trading Forum WSPP Operating Committee March 11, 2015

J.P.Morgan 2018 Energy Conference June 20, 2018

Fortum intends to become a major shareholder in Uniper

CLIMATE RISK NORWEGIAN CLIMATE RISK COMMISSION PATRICK DU PLESSIS

NRG Energy Inc. Mauricio Gutierrez President, NRG Business. March 31, 2015

EL PASO ELECTRIC. Jefferies Marketing Tour June 2012

Q I N T E R I M R E P O R T. Brookfield Renewable Partners L.P.

2005 Integrated Electricity Plan. Provincial IEP Committee Meeting #2 Economic Analysis February 22/23, 2005

No An act relating to the Vermont energy act of (S.214) It is hereby enacted by the General Assembly of the State of Vermont:

All Source Request for Proposal Bid Conference. October 22, 2008

Cost Allocation Reform Update

Evercore ISI Utility CEO Retreat

Alignment of Key Infrastructure Planning Processes by CPUC, CEC and CAISO Staff December 23, 2014

Energy Ventures Analysis, Inc.

Xcel Energy Fixed Income Meetings

Electric Price Outlook for Indiana High Load Factor (HLF) customers September 2015

H.R American Clean Energy and Security Act of 2009

2016 OMS MISO Survey Results

Renewable Generation, Transmission and the Energy Marketplace

APPENDIX B: PORTFOLIO OPTIMIZATION MODEL

Integrated Resource Plan IRP Public Input Meeting June 28-29, 2018

New Development Bank s 2016 Green Financial Bond Duration Assurance

GENERAL SYNOD. Debate on a Motion from the National Investing Bodies

July 31, 2017 Via Electronic Filing

Positioned for Growth. Business Review & Outlook

UK ELECTRIC MARKET REFORM APPLICATION TO TEXAS POWER MARKET. Ingmar Sterzing CEIC Seminar April 10, 2013

Transcription:

MTEP16 Futures Development Workshop 1/15/15

Overview Objectives MTEP16 proposed futures Uncertainty variables definitions Next steps 2

Objective Ensure MTEP16 Futures are effective and are developed in a timely manner Purpose today Review stakeholder feedback received Present proposed MTEP16 Futures Key Takeaways Five futures are being developed considering stakeholder feedback received MISO will commence resource forecasting analyses using futures developed 3

Proposed MTEP16 Futures Business As Usual High Demand Low Demand Regional CPP Compliance Sub-regional CPP Compliance 4

Business As Usual The baseline, or Business as Usual, future captures all current policies and trends in place at the time of futures development and assumes they continue, unchanged, throughout the duration of the study period. All applicable EPA regulations governing electric power generation, transmission and distribution (NAICS 2211) are modeled. Demand and energy growth rates are modeled at a level equivalent to the 50/50 forecasts submitted into the Module E Capacity Tracking (MECT) tool. All current state-level Renewable Portfolio Standard (RPS) and Energy Efficiency Resource Standard (EERS) mandates are modeled. To capture the expected effects of environmental regulations on the coal fleet, a total of 12.6 GW of coal unit retirements are modeled, including units which have either already retired or publicly announced they will retire. 5

High Demand The High Demand future is designed to capture the effects of increased economic growth resulting in higher energy costs and medium high gas prices. The magnitude of demand and energy growth is determined by using the upper bound of the Load Forecast Uncertainty metric and also includes forecasted load increases in the South region. All current state-level Renewable Portfolio Standard (RPS) and Energy Efficiency Resource Standard (EERS) mandates are modeled. All existing EPA regulations governing electric power generation, transmission and distribution (NAICS 2211) are incorporated. To capture the expected effects of environmental regulations on the coal fleet, 12.6 GW of coal unit retirements are modeled, including units which have either already retired or publicly announced they will retire. Additional, age-related retirements are captured using 60 years of age as a cutoff for non-coal thermal units and 100 years for conventional hydroelectric. 6

Low Demand The Low Demand future is designed to capture the effects of reduced economic growth resulting in lower energy costs and medium low gas prices. The magnitude of demand and energy growth is determined by using the lower bound of the Load Forecast Uncertainty metric. All current state-level Renewable Portfolio Standard (RPS) and Energy Efficiency Resource Standard (EERS) mandates are modeled. All applicable EPA regulations governing electric power generation, transmission and distribution (NAICS 2211) are modeled. To capture the expected effects of environmental regulations on the coal fleet, 12.6 GW of coal unit retirements are modeled, including units which have either already retired or publicly announced they will retire. Additional, age-related retirements are captured using 60 years of age as a cutoff for non-coal thermal units and 100 years for conventional hydroelectric. 7

Regional Clean Power Plan Compliance The Regional Clean Power Plan future focuses on several key items from a footprint wide level which combine to result in significant carbon reductions over the course of the study period. Assumptions are consistent with previous CPP sensitivity analysis, and include the following: To capture the expected effects of existing environmental regulations on the coal fleet, 12.6 GW of coal unit retirements are modeled, including units which have either already retired or publicly announced they will retire. 14 GW of additional coal unit retirements, coupled with a $25/ton carbon cost, state mandates for renewables, and half of the EE annual growth used by the EPA, result in a significant reduction in carbon emissions by 2030. Additional, age-related retirements are captured using 60 years of age as a cutoff for non-coal thermal units and 100 years for conventional hydroelectric. Solar and wind include an economic maturity curve to reflect declining costs over time. Demand and energy growth rates are modeled at levels as reported in Module E. 8

Sub-Regional Clean Power Plan Compliance The Sub-Regional Clean Power Plan future focuses on several key items from a zonal or state level which combine to result in significant carbon reductions over the course of the study period. Assumptions are consistent with previous CPP sensitivity analysis, and include the following: To capture the expected effects of existing environmental regulations on the coal fleet, 12.6 GW of coal unit retirements are modeled, including units which have either already retired or publicly announced they will retire. 20 GW of additional coal unit retirements, coupled with a $40/ton carbon cost, state mandates for renewables, and half of the EE annual growth used by the EPA, result in a significant reduction in carbon emissions by 2030. Additional, age-related retirements are captured using 60 years of age as a cutoff for non-coal thermal units and 100 years for conventional hydroelectric. Solar and wind include an economic maturity curve to reflect declining costs over time. Demand and energy growth rates are modeled at levels as reported in Module E. 9

Uncertainty Variables

Future Business as Usual Demand and Energy Growth 0.9% MTEP16 Futures Matrix Retirement Level* (GW) No Additional Peak Natural Gas Price (2015 $/MMBtu) $4.30 Incremental Renewables (GW) N/C: North/Central S: South N/C: 4.2 Wind/ 1.4 Solar S: 0 Wind/ 0 Solar CO 2 Cost (2015 $/ton N/A High Demand 1.6% Age-related $4.30 Low Demand 0.2% Age-related $3.44 N/C: 7.2 Wind/ 1.6 Solar S: 0 Wind/ 0 Solar N/C: 2.4 Wind/ 1.3 Solar S: 0 Wind/ 0 Solar N/A N/A Regional CPP Compliance 0.9% 14 GW coal + agerelated $5.16 N/C: 4.2 Wind/ 1.4 Solar S: 0 Wind/ 0 Solar + economically chosen wind/solar based on cost maturity curves $25 / ton Sub-Regional CPP Compliance 0.9% 20 GW coal + agerelated $5.16 N/C: 4.2 Wind/ 1.4 Solar S: 0 Wind/ 0 Solar + economically chosen wind/solar based on cost maturity curves $40 / ton *12 GW of MATS related coal-retirements are assumed in all Futures Age-related retirement assumption applies to non-coal generation only 11

MTEP15 BAU Demand Growth Rate Granularity MISO 0.9% MISO N/C 0.6% MISO South 1.5% LRZ 1 0.9% LRZ 2 0.6% LRZ 3 1.2% LRZ 4 0.3% LRZ 5 0.2% LRZ 6 1.1% LRZ 7 0.1% LRZ 8 1.8% LRZ 9 1.4% LBA 1 1.6% LBA 1 1.1% LBA 1 0.7% LBA 1 0.3% LBA 1 0.2% LBA 1 4.6% LBA 1 0.2% LBA 1 1.8% LBA 1 1.0% LBA 2 0.9% LBA 2 0.9% LBA 2 1.1% LBA 2 1.5% LBA 2 2.1% LBA 2 0.9% LBA 2 0.1% LBA 2 1.4% LBA 3 1.2% LBA 3 0.1% LBA 3 0.6% LBA 3 0.8% LBA 3 1.4% LBA 3 1.7% LBA 4 2.3% LBA 4 0.4% LBA 4-0.2% LBA 4 0.3% LBA 5 0.6% LBA 5 0.3% LBA 5 0.6% LBA 5 1.1% LBA 6 0.7% LBA 6 0.0% LBA 7 3.3% All growth rates represent a 10-year compound annual growth rate, beginning in 2015 January 15, 2015 Planning Advisory Committee 12

Natural Gas Forecasts (Real, 2015 dollars) $7 $6 $5 Natural Gas Price (Real 2015 $/MMBtu) $4 $3 $2 $1 $0 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 Bentek 20% Bentek Baseline Bentek +20% Baseline forecast developed as part of Phase III Electric-Natural Gas Infrastructure Analysis by Bentek 13

Retirements Baseline 12 GW of coal retirements assumed to occur on 12/31/15 unless publicly announced date available Additional 14 GW and 20 GW of coal retirements occur in the Regional and Sub-Regional CPP Futures in the 2020 2025 timeframe Age-related retirements occur in the year in which the age threshold is reached in all futures except the BAU Coal retirements are captured through MATS and CPP impacts, and hence age-related retirement assumption is only applied to non-coal thermal units (as noted in slide 11). 14

MISO BAU Retirements 15

MISO Age-Related High/Low Demand Retirements Note: Non-coal thermal units retired at 60 years, hydro at 100 years. No nuclear units reach that age in the 15-year study period. 16

MISO Age-Related CPP Regional Retirements Note: Non-coal thermal units retired at 60 years, hydro at 100 years. No nuclear units reach that age in the 15-year study period. 17

MISO Age-Related CPP Sub-Regional Retirements Note: Non-coal thermal units retired at 60 years, hydro at 100 years. No nuclear units reach that age in the 15-year study period. 18

Retirements, cont. Including age-related coal leaves all non-bau futures with high retirements Future 2030 MATS CPP Age Related Total Coal Coal Coal Gas Oil Nuclear Hydro Retirements Retirements BAU 12 12 High/Low Demand 12 12.1 8.5 0.5 0.7 34 Regional CPP 12 13.9 5.3 8.5 0.5 0.7 41 Sub Regional CPP 12 19.5 2.9 8.5 0.5 0.7 44 Without age-related coal, more balanced retirements can be studied Future 2030 MATS CPP Age Related Total Coal Coal Coal Gas Oil Nuclear Hydro Retirements Retirements BAU 12 12 High/Low Demand 12 8.5 0.5 0.7 22 Regional CPP 12 13.9 8.5 0.5 0.7 36 Sub Regional CPP 12 19.5 8.5 0.5 0.7 41 19

Carbon Cost Regional and Sub-Regional CPP futures will use $25/ton and $40/ton prices, respectively beginning in 2020 20

DSM State mandates for DR / EE modeled in BAU / High Demand / Low Demand Half of the EE annual growth used by the EPA from the CPP analysis is modeled in the Regional and Sub-regional CPP Futures. Energy Efficiency Growth Comparison 14% 12% 10% Energy Efficiency % 8% 6% 4% EPA BB4 1/2 of EPA growth Mandates 2% 0% 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 Year 21

Possible Solar Maturity Curves 22

Possible Wind Maturity Curves 23

Capital Costs for New Generation Utilize EIA capital cost data, released April 2013* Escalate costs using GDP Implicit Price Deflator** to convert to 2015 baseline values Mid value for wind to be modeled 10% lower than EIA estimates Mid value for solar to be modeled 25% lower than EIA estimates High and Low values will be set +/- 25% from Mid values for all generator types An economic maturity curve will be applied to solar and wind to reflect declining costs over time. * Full capital cost report: http://www.eia.gov/forecasts/capitalcost/ ** As defined in the EIA Short Term Energy Outlook: http://www.eia.gov/forecasts/steo/report/us_eco.cfm 24

Historical CPI Growth Comparisons 1914 1916 1918 1920 1922 1924 1926 1928 1930 1932 1934 1936 1938 1940 1942 1944 1946 1948 1950 1952 1954 1956 1958 1960 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 20% 15% 10% 5% 0% 5% 10% 15% 15 year 20 year 1 year Data from US Department of Labor, Bureau of Labor Statistics Consumer Price Index (CPI) 25

Notes on Inflation Most-recent 20-year growth rate for the CPI is 2.4%; since 1960, the maximum 20-year growth is 6.3% and the minimum is 1.9% Based on this information, MISO recommends the following inflation rates for use in the MTEP futures (no change from MTEP15): Level Inflation Value Low 2.0% Mid 2.5% High 4.0% 26

Futures Development Timeline 27

Next Steps Post final Futures definitions with sensitivities matrix Begin model building Perform resource forecasting analysis including Siting 28