Enhancing Long Term Planning Processes and Products and Preliminary 2019 Long-Term Demand Forecast - Prepared for: Stakeholder Engagement Thursday ...
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Enhancing Long Term Planning Processes and Products and Preliminary 2019 Long-Term Demand Forecast Prepared for: Stakeholder Engagement Thursday January 31, 2019
the values reported in this presentation are for discussion purposes only and are in draft form Agenda Part A: annual planning outlook: 1) Enhancing long term planning processes and products 2) Long term planning stream Part B: Preliminary Demand Forecasting: 1) Overview and background 2) 2019 Gross demand assumptions 3) 2019 Net demand assumptions 4) Evolution of long-term forecasting 5) Next steps 2
the values reported in this presentation are for discussion purposes only and are in draft form Purposes of today’s engagement • Enhancing Long-Term Planning Processes and Products: o Continue a two-way conversation on the IESO’s planning strategy o Provide an overview of the preliminary long-term demand forecast and seek stakeholder feedback o Inform and educate on recent changes to the IESO’s planning processes, focusing on the release of the December 2018 Reliability Outlook o Seek feedback on improvements to the quarterly Reliability Outlook • Preliminary 2019 Long-Term Demand Forecast: o To provide stakeholders with an update on the IESO’s electricity annual planning outlook o To support greater transparency in the IESO’s demand forecasting processes o To provide an overview of key planning assumptions in the preliminary demand forecasting o To obtain feedback on assumptions on inputs on the preliminary forecast 3
the values reported in this presentation are for discussion purposes only and are in draft form Disclaimer The information and data presented herein does not represent IESO’s forecast of future demand, but is preliminary information used to seek stakeholder input around the long-term demand forecast process and assumptions. Further engagements will take place throughout the year, and the IESO’s forecast of demand and adequacy will come in Q3 2019. 4
the values reported in this presentation are for discussion purposes only and are in draft form Opportunities for feedback • The opportunity to ask questions and provide feedback during today’s presentation • Stakeholders are also invited to provide written feedback or comments on: o The effectiveness of the meeting o The contents and questions posed during today’s presentations o Information you would like to see at future meetings o The quarterly Reliability Outlook and preliminary demand forecast o Preliminary 2019 Long-Term Demand Forecast: Gross demand drivers How to forecast for energy efficiency programs and codes and standards How to forecast for embedded generation • Email us: engagement@ieso.ca • Today’s presentation materials will be available on our website: http://www.ieso.ca/Sector-Participants/Engagement- Initiatives/Engagements/20-Year-Planning-Outlook 5
the values reported in this presentation are for discussion purposes only and are in draft form PART A: ANNUAL PLANNING OUTLOOK 6
the values reported in this presentation are for discussion purposes only and are in draft form ENHANCING LONG TERM PLANNING PROCESSES AND PRODUCTS 7
the values reported in this presentation are for discussion purposes only and are in draft form Recent and future Ontario electricity outlooks • 2016 Independent Electricity System Operator (IESO) Ontario Planning Outlook (OPO): o Published: September 1, 2016 o http://www.ieso.ca/sector-participants/planning-and- forecasting/ontario-planning-outlook • 2018 IESO Technical Planning Conference (TPC): o Hosted: September 13, 2018 o http://www.ieso.ca/en/Sector-Participants/Planning-and- Forecasting/Technical-Planning-Conference • 2019 IESO annual planning outlook: o Planned to be published: Q3 2019, to aid in identifying anticipated system requirements in the coming years • 2020 onwards: IESO annual planning outlook 8
the values reported in this presentation are for discussion purposes only and are in draft form IESO’s Planning Activities • Most of IESO’s planning activities are categorized as Analyses or Publications and Stakeholder Engagement: Analyses • Ensure long-term reliability of Ontario’s power system • Support operation of the IESO Administered Market • Inform policy • Satisfy regulatory obligations and market rule requirements Publications & Stakeholder Engagement • Enhance planning transparency • Share relevant and valued information, data, analysis and expertise with the sector • Strengthen stakeholder relationships • Prepare for the information requirements of the Incremental Capacity Auction (ICA) and the provision of reliability products and services for the market 9
the values reported in this presentation are for discussion purposes only and are in draft form IESO’s Planning Activities: Analyses are made of 3 parts: Demand Forecast, Adequacy Assessments and Impact Analysis. The demand forecast is the starting point of all analyses Demand Forecast Identifies future electricity demand Resource and Transmission Assess if the existing plan can Adequacy Assessments satisfy anticipated demand Publications Yes Is plan sufficient? No, acquisition needed Market Yes mechanism No Evaluates (ex: global Impact analysis options available? (ex: regional capacity planning) 10
the values reported in this presentation are for discussion purposes only and are in draft form Strategy to Evolve IESO Planning Publications • There will be two streams of IESO planning publications: o Operational Planning ensures a viable operating plan (e.g. outages); and o Long-Term Planning signals resource adequacy needs •Reliability outlook Annual planning outlook: •Five year reserve • Annual report with 10 - 20 year horizon margin requirements • Identifies long-term requirements to •Ontario planning inform investment and asset management outlook and modules decisions •Comprehensive review of resource Reliability Outlook: adequacy • Quarterly report with 18 month horizon, •Etc. extending out 60 months biannually • Assesses potential adverse conditions that might be avoided through adjustment or coordination of outage plans Today Future 11
the values reported in this presentation are for discussion purposes only and are in draft form Planning in public • The 2018 Technical Planning Conference launched a new era of planning, enhancing transparency to support market development • The IESO posted stakeholder responses1 and found 3 themes: 1) Transparency: o Publish detailed data, assumptions and methodologies that underpin IESO planning assessments to enable stakeholders to evaluate risks and opportunities using their own assumptions and methods o Granularity should be at the generator level, similar to NYISO Gold Book o Transmission projects and limits should be published 2) Consistency: o Consistent approach around methodologies and conclusions o Alignment of adequacy assessments including reserve requirements across all planning timeframes and publications o Alignment between time frames: 18 month, 60 month and 20 year outlook and reports (Achievable Potential Study, NERSC) o Use of standardized terms and techniques, consistent with other jurisdictions and market renewal 3) Engagement: o Make use of targeted sessions, more frequent meetings and workshops for stakeholders o Engage earlier than the release of a planning outlook 1 http://www.ieso.ca/en/Sector-Participants/Planning-and-Forecasting/Technical-Planning-Conference 12
the values reported in this presentation are for discussion purposes only and are in draft form Enhancing the IESO’s Long Term Planning Process • Strategy: o Create a new report to provide timely and transparent information, on a regular basis, to guide investment decisions and market development • Frequency: Annually • Timing: Beginning in Q3 2019 o The exact timing of future annual planning outlooks may change to respond to the development of the ICA • Horizon: 10 to 20 years • Scope: o Information in the annual planning outlook will be informed by the development of the Bulk Planning Process and coordinated with and support market development, including the ICA • The 2019 annual planning outlook will inform capacity requirements in interim capacity acquisition 13
the values reported in this presentation are for discussion purposes only and are in draft form Annual planning outlook process Analyses Publications Comprehensive Demand Forecast Planning outlook Year 1 ICA Pre-Auction & status of bulk Report Resource Adequacy plans Assessment Demand Forecast Update Planning outlook Year 2 ICA Pre-Auction & status of bulk Resource Adequacy Report plans Assessment Demand Forecast Update Planning outlook Year 3 ICA Pre-Auction & status of bulk Report Resource Adequacy plans Assessment 14
the values reported in this presentation are for discussion purposes only and are in draft form Enhancing the IESO’s Long Term Planning Process The IESO is seeking your input on a staged development approach that prioritizes (1) consistency and high quality data, (2) requirements for ICA or Regulatory requirements, and (3) Completion of Bulk Planning Process. Potential products in future years is provided below for discussion purposes 2022 • Incorporation of bulk planning 2021 process • Ancillary Services/Essential • ICA Pre-Auction 2020 Report Reliability Service • Zonal Adequacy Requirements • Cost Details 2019 (Voltage / • Avoided Frequency) • Resource Costs/Emissions • Detailed Adequacy Needs • Natural gas gas/electric • Nuclear supply risks interoperability Refurbishment Risks • Operability or other fuel risks Needs (Flexibility • Marginal Pricing / Ramping) • Reporting of Transmission Initiatives and Activities Ongoing Stakeholder Engagement 15
the values reported in this presentation are for discussion purposes only and are in draft form Enhancing the IESO’s Long Term Planning Process To address transparency, the annual planning outlook will provide more detail and methodology that enables stakeholders to assess risks and opportunities when making asset management or investment decisions, using their own assumptions and methods Contents of the 2019 annual planning outlook will include: • Demand Forecast • Global Resource Adequacy: o Reserve Margin Requirement o Sensitivity Analyses or Scenarios for Reserve Margin Calculations o Capacity required to maintain adequacy • Transmission: o Recap of last five years o Ongoing Studies and Initiatives o Future plans (end of life, enabling markets, retirements) • Planned Outcomes (emissions, marginal cost forecasts) • Methodology Document • Excel Data Tables 16
the values reported in this presentation are for discussion purposes only and are in draft form Improving the Long Term Planning Process To address consistency, the annual planning outlook will consolidate reports where feasible • Planning reports that focus on system planning (i.e. not regional planning) will be consolidated into a single report • The report satisfies requirements for a Technical Report pursuant to Section 25.29 (3) of the Electricity Act, 1998 • For 2019, the following IESO reports will be consolidated: o Ontario Reserve Margin Requirements Report o Outlook for Technical Planning Conference • IESO planning also produces reports to comply with NERC and NPCC requirements, including NERC’s Long Term Reliability Assessment, NPCC’s Comprehensive/Interim Review of Resource Adequacy, and NPCC’s Long Range Adequacy Overview • Where feasible, the IESO will strive for consistency across these studies. Where models or assumptions differ, an explanation will be provided by the IESO 17
the values reported in this presentation are for discussion purposes only and are in draft form Improving the Long Term Planning Process To address engagement, additional sessions are planned to inform and educate readers in advance of the release of the annual planning outlook Scoping This section Immediately Full day following workshop in Resource Demand section. Q2 2019 on adequacy forecast Feedback methodology period is open Transmission Bulk Planning Stakeholder assessment Engagement 18
the values reported in this presentation are for discussion purposes only and are in draft form Improving the Long Term Planning Process To address engagement, the Technical Planning Conference will be scheduled shortly after the release of the annual planning outlook, where we will ask stakeholders to inform us of how they would like to continue engagement throughout the year • Ongoing engagement can include surveys, smaller focus groups, webinars and in person sessions • The engagement Technical would likely focus on: Planning o Details on methodology and Conference assumptions o Areas of improvement for the annual planning outlook 19
the values reported in this presentation are for discussion purposes only and are in draft form Preliminary 2019 Long-Term Demand Forecast and annual planning outlook Q3-Q4 2019 • Publication of 2019 annual planning outlook Q2 2019 • Technical Planning • Public stakeholder Conference engagement regarding February methodology to the 2019 annual planning outlook to • Feedback period from provide an understanding stakeholder engagement of at January least 10 business days of our existing approach and methodology •Public Stakeholder • Incorporate stakeholder • Inform stakeholders of key feedback in the 2019 Long- Engagement of changes in approach and Term Demand Forecast for methodology, and identify Preliminary 2019 Resource Adequacy areas where additional Long-Term Demand Assessment (end of February stakeholder education is 2019), incorporating Forecast stakeholder feedback required (January 31) Ongoing Stakeholder Engagement 20
the values reported in this presentation are for discussion purposes only and are in draft form Feedback: Enhancing Long Term Planning Processes and Products Written feedback or comments can be sent to engagement@ieso.ca • Discussion Questions: o Does the strategy address your feedback from Technical Planning Conference? o Are there additional considerations for 2019? For future years? o Does the proposed approach to evolving planning products satisfy your requirements? Are there aspects of reporting development that should be re-prioritised? 21
the values reported in this presentation are for discussion purposes only and are in draft form PART B: PRELIMINARY DEMAND FORECASTING 22
the values reported in this presentation are for discussion purposes only and are in draft form 1) OVERVIEW AND BACKGROUND 23
the values reported in this presentation are for discussion purposes only and are in draft form Overview Preliminary Demand Forecast Methodology 6 Drivers & Gross Assumptions Demand Resource & Net Revised 3 Drivers & Assumptions Demand 0 Stakeholder Engagement Forecast transmission adequacy assessments Grid Evolution Demand Sensitivity analysis 24
the values reported in this presentation are for discussion purposes only and are in draft form Role of Long-Term Demand Forecasting • Electricity demand forecasting anticipates future requirements for the services that electricity provides. Electricity requirements are affected by many factors, including choice of energy form, technology, equipment purchasing decisions, behaviour, demographics, population, the economy, energy prices, transportation policy and conservation o The IESO monitors and interprets these and other factors on an ongoing basis to develop outlooks against which integrated planning can take place • Updates to the electricity demand forecast provide context for updated integrated plans, energy efficiency program planning and supply procurement decisions. Analysis focuses on understanding what is causing the changes in demand by focusing on the end uses and sector trends • The IESO is introducing more transparency into our planning processes by providing updated information to the market and regularly engaging with stakeholders to enable them to make more informed decisions and investments • The IESO conducts short, medium and long-term integrated power system planning for the province. The demand for electricity establishes the context for integrated planning as it determines the amount of electricity that must be served Forecast Why When Long Term Annual planning outlook: the IESO forecast of energy and demand for Annually a 10 - 20 year timeframe which is utilized to inform system adequacy and investment decisions Medium Reliability Outlook: the IESO's assessment of the reliability of the Ontario electricity 18-Month: Quarterly Term system over the medium term 18 & 60 Month: Bi-Annually Short Term 1-10 Day ahead: the published numbers in the 1 Day Ahead forecast are used to Daily commit generation Day Ahead as part of the Day Ahead Commitment process. This improves reliability and helps ensure we will have sufficient generation in real-time to meet demand 25
the values reported in this presentation are for discussion purposes only and are in draft form Long-Term Demand Forecast • Goals: o The IESO conducts a long-term demand forecast to inform system adequacy and investment decisions o The demand forecast is the foundational piece used to initiate the IESO complete annual planning outlook; It is also one of the core inputs into the Resource Adequacy Outlook, which will be critical to incorporate into Incremental Capacity Auction (ICA) o The preliminary demand forecast presented is a baseline forecast or ‘business as usual’ forecast and is used for retention, comparison, and possible consideration in the creation of scenarios • Data: o The demand forecast is developed based on the most recent and best available data at the time o Where possible other government agencies were leveraged for forecast data, however due to lack of available required long-term data, many third Party resources or consultants were sourced o Within the 20 year time horizon, there is greater confidence in the short term (years 1-5), with a lesser degree of confidence in the long term (years 11-20) o Assumptions are based on primary and secondary research including: Industry research Historical trends Updates in 2019 2019 annual planning Changes 2016 OPO outlook Base year 2017 2015 Planning horizon 2020-2040 2016-2035 26
the values reported in this presentation are for discussion purposes only and are in draft form Development Process Preliminary Gross Demand: the total demand for electricity services in Ontario prior to the impact of conservation programs In-Progress Net Demand: Ontario Gross Demand minus the impact of conservation programs Evolution Grid Demand: Ontario Net Demand minus the demand met by embedded generation. It is equal to the energy supplied by the bulk system to wholesale customers and local distribution companies through the IESO-administered markets 27
the values reported in this presentation are for discussion purposes only and are in draft form How is the long-term load forecast developed • Analysis for the forecasts are done at the end use level • End Use Forecaster (EUF) model is an accounting model of equipment and appliance stock of different efficiency level by end use • Gross demand includes the effects of naturally occurring conservation, but not of new energy efficiency programs Load forecasting process 28
the values reported in this presentation are for discussion purposes only and are in draft form Preliminary Long-Term Demand Forecast • Once finalized the, long-term demand forecast which will be employed for the overall 2019 annual planning outlook will consists of a net forecast • Net level refers to the gross demand less the impact of: o Energy efficiency programs and o Codes & standards • The data is broken out into: o Hourly (8,760 or 8,784 data points per zone per year) o Long-Term for the 2020 - 2040 period o At the IESO Zonal Level (10 zones: Northwest, Northeast, Essa, West, Southwest, Bruce, Toronto, Niagara, East, Ottawa) 29
the values reported in this presentation are for discussion purposes only and are in draft form Historical demand: 2005 - 2018 • Energy demand has been on a declining trend over the past decade, driven by changes to the economy, conservation savings, and embedded generation 165 160 Annual Energy Demand (TWh) 155 150 145 140 135 130 2005 2007 2009 2011 2013 2015 2017 Embedded Generation Consevation Grid Level Demand Net Level Demand Gross Level Demand Note: Due to data delays 2018 embedded generation values are estimated 30
the values reported in this presentation are for discussion purposes only and are in draft form 2016 OPO vs Actuals: 2016 - 2018 • All forecasts have an inherent degree of forecast error: o The graph below demonstrates the difference of the 2016 forecast vs. actuals for the 2016 – 2018 period at the net level o 2018 values are based on current best estimates for embedded generation and weather correction 165 160 Annual Net Level Energy Demand (TWh) 155 150 145 140 135 130 2016 2017 2018 2016 - 2018 Actual 2016 IESO OPO 31
the values reported in this presentation are for discussion purposes only and are in draft form 2) 2019 PRELIMINARY GROSS DEMAND ASSUMPTIONS 32
the values reported in this presentation are for discussion purposes only and are in draft form Gross Demand Gross Demand: the total demand for electricity services in Ontario prior to the impact of conservation programs Net Demand: Ontario Gross Demand minus the impact of conservation programs Grid Demand: Ontario Net Demand minus the demand met by embedded generation. It is equal to the energy supplied by the bulk system to wholesale customers and local distribution companies through the IESO- administered markets 33
the values reported in this presentation are for discussion purposes only and are in draft form The IESO Gross demand forecast considers key drivers to derive the forecast • Key drivers: o Change in number and type of residential households o Change in amount of commercial floor space o Change in industrial output/activities • Electricity price and natural gas price forecast: o Consumer react to changes in price. High electricity price may apply downward pressure on demand while, mild or temporary price relief is less likely to cause the demand to go back up again Short term behavioural response to price that reflects changes in equipment utilization without changing the equipment itself is captured through the use of behavioural price elasticity The range of the elasticity is from -0.25 to -0.1 and captures behaviour such as lowering thermostats and turning off lights and computer monitors o Rate design impacts - annualized price effect of ICI is included in the sector price forecast • Policy Environment: o Climate change policy and initiatives o Economic development and industrial policy 34
the values reported in this presentation are for discussion purposes only and are in draft form Gross Demand: Comparison of 2019 annual planning outlook key assumptions • Only factors that have significant change since the previous outlook are included in the key assumptions table on the following slide • The following slides will explain the development of the gross demand forecast and the associated assumption and details • IESO seeking feedback on all factors and assumptions 35
the values reported in this presentation are for discussion purposes only and are in draft form Gross Demand: Comparison of 2019 annual planning outlook key assumptions 2019 annual 2019 annual planning outlook Sector 2016 OPO planning outlook Years 1 - 5 Years 6 - 10 Years 11 - 21 comparable (2020 - 2024) (2025 - 2029) (2030 - 2040) Floor space grows by Floor space grows by 1) Commercial floor 736 M sqft, 21.9 % or 587 M sqft, 17.7 % or Floor space grows by Floor space grows by Floor space grows by space 1.2 % / yr 1.0 % / yr 202 M sqft, 6.0 % or 150 M sqft, 4.2 % or 359 M sqft, 9.7 % or from 2018 – 2035 from 2018 – 2035 1.2 % / yr 0.8 % / yr 0.8 % / yr Electric vehicles grows Electric vehicles grows Electric vehicles grows Electric vehicles grows Electric vehicles grows 2) Electric Vehicles by by 978 k, or 24 % / yr by 825 k, or 21 % / yr by 157 k, 298 % or by 480 k, 92 % or (EVs) 310 k, 147 % or from 2018 – 2035 from 2018 – 2035 31.8 % / yr, 6.1 % / yr, 19.9 % / yr, to 210 k To 1 M to 520 k Households grows by Households grows by Households grows by 3) Residential 1.0 M, 18 % or 1 % / yr 1.3 M, 24 % or 1.3 % / yr Households grows by Households grows by 644 k, 10.0 % or households 440 k, 7.8 % or 1.5 % / yr 375 k, 6.2 % or 1.2 % / yr from 2018 – 2035 from 2018 – 2035 0.9 % / yr Mining sector continues Flat load 4) Industrial Load to grow Mining sector continues to grow from 2018 – 2035 from 2018 – 2035 GO Rail electrification GO Rail electrification & LRT projects as & 7 LRT projects as GO Rail system 5) Transit planned by 2016 planned by 2016 First 6 LRTs in service electrification as well as No additional projects + 548 GWh annual + 1,403GWh annual 2 LRT phases energy demand energy demand from 2018 – 2035 from 2018 – 2035 Dramatic increase due Dramatic increase due to greenhouse load in to greenhouse load in 6) Agriculture Flat load 2.2 TWh Flat load 3.9 TWh Flat load 4.0 TWh southern Ontario southern Ontario from 2018 – 2035 in 2029 in 2040 4.0 TWh + 0.8 TWh to 3.9 TWh from 2018 – 2035 in 2024 36
the values reported in this presentation are for discussion purposes only and are in draft form 1) Commercial floor space • IESO conducted an analysis of commercial floor space with the support of third-party consultant • Forecasted to be 190 million square feet less (4.6 %) by 2035 than 2016 OPO: o Equivalent to about 3 TWh, all else being equal o Differences attributed to: A continuing trend of decreasing square footage per worker achieved through alternative workplace strategies and more efficient building design, particularly evident in major urban locations Shifts in consumer purchasing behaviour are opening up opportunities for new forms of retailing, such as e-commerce As the shift in retailing changes the retail real estate landscape, e- commerce and other technological advances are also affecting the industrial real estate market, with increasing demand for large warehousing, logistics and distribution hubs to support online shopping as well as data centres 37
the values reported in this presentation are for discussion purposes only and are in draft form 1) Commercial floor space 4.1 Years 11 – 21 Floor space growth 10 %, 4.0 0.8 % / yr Annual Commercial Floor Space Availability 3.9 Years 6 – 10 (Billion Square Feet) 3.8 Floor space growth 4 %, 0.8 % / yr 3.7 Years 1 – 5 Floor space growth 3.6 6 %, 1.2 % / yr 3.5 3.4 3.3 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast 2016 IESO OPO 38
the values reported in this presentation are for discussion purposes only and are in draft form 1) Commercial floor space: assumptions Low Case Proposed Case High Case Years 1 - 5 Years 6 - 10 Years 11 - 21 Years 1 - 5 Years 6 - 10 Years 11 - 21 Years 1 - 5 Years 6 - 10 Years 11 - 21 (2020 - 2024) (2025 - 2029) (2030 - 2040) (2020 - 2024) (2025 - 2029) (2030 - 2040) (2020 - 2024) (2025 - 2029) (2030 - 2040) Floor space Floor space Floor space Floor space Floor space Floor space Floor space Floor space Floor space grows by 4.7 % grows by 3.3 % grows by 7.3 % grows by 6.0 % grows by 4.2 % grows by 9.2 % grows by 7.6 % grows by 6.4 % grows by 14.5 % over the period over the period over the period over the period over the period over the period over the period over the period over the period (avg 0.9 % / yr) (avg 0.6 % / yr) (avg 0.7 % / yr) (avg 1.2 % / yr) (avg 0.8 % / yr) (avg 0.9 % / yr) (avg 1.5 % / yr) (avg 1.3 % / yr) (avg 1.5 % / yr) 3.5 billion sqft 3.6 billion sqft 3.9 billion sqft 3.6 billion sqft 3.7 billion sqft 4.1 billion sqft 3.7 billion sqft 3.9 billion sqft 4.5 billion sqft 4.5 Annual Commercial Floor Space Availability 4.3 (Billion Square Feet) 4.1 3.9 3.7 3.5 3.3 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast - High Demand Case Preliminary 2019 Demand Forecast - Reference Case Preliminary 2019 Demand Forecast - Low Demand Case 39
the values reported in this presentation are for discussion purposes only and are in draft form 2) Electric vehicles: assumptions • Globally the early adoption of electric vehicles (EVs) in many jurisdictions has been driven by government policy o The main markets by volume (China) and sales share (Norway) have the strongest policy push • IESO’s approach on EV electricity demand forecast: o Focuses on potential electricity energy demand and peak impact for the purposes of electricity demand forecast and power system planning o Based on available Ontario specific data such as EV sales and registration data o Scenarios developed from various annual growth rate of new sales o Comparable with EV outlooks from various organizations • A wide range of EV projections from various organizations, e.g. forecasts of EV new sale market shares vary from 1% to 28% in 2020, and from 1% to 70% in 2030 • The IESO’s estimates are informed by EV information from various organizations: o International Energy Agency o Navigant Research o Bloomberg New Energy Finance o Boston Consulting Group o Simon Fraser University o Ministry of Transportation of Ontario 40
the values reported in this presentation are for discussion purposes only and are in draft form 2) Electric vehicles • For electricity demand forecast and power system planning purposes, it is estimated that EV new sales will continue to grow moderately in the next decade and stabilize thereafter • Recent changes of EV policy may result in a declining impact on EV adoption: o Ontario Electric Vehicle Incentive Program discontinued in September 2018 o US announced freezing Corporate Average Fuel Economy (CAFE) standards in 2018, leading to impacts to supply of new EVs in Ontario • EVs on Ontario roads will reach about 1 million around 2040 and the annual charging demand is about 3.4 TWh 41
the values reported in this presentation are for discussion purposes only and are in draft form 2) Electric vehicles Years 11 – 21 10 EV count growth 92 %, 6 % / yr 9 Annual Units in Operation (100,000 Vehicles) 8 7 Years 6 – 10 6 EV count growth 148 %, 20 % / yr 5 4 Years 1 – 5 3 EV count growth 298 %, 2 32 % / yr 1 0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast 2016 IESO OPO 42
the values reported in this presentation are for discussion purposes only and are in draft form 2) Electric vehicles: assumptions & sensitivities Low Demand Case Proposed Case High Demand Case Years 1-5 Years 6-10 Years 11-21 Years 1-5 Years 6-10 Years 11-21 Years 1-5 Years 6-10 Years 11-21 (2020-2024) (2025-2029) (2030-2040) (2020-2024) (2025-2029) (2030-2040) (2020-2024) (2025-2029) (2030-2040) 10% annual increase in EV sales 20% annual increase in EV sales 35% annual increase in EV sales *170 k 320 k 500 k 210 k 520 k 1,000 k 280 k 980 k 2,300 k vehicles by 2024 vehicles by 2029 vehicles by 2040 vehicles by 2024 vehicles by 2029 vehicles by 2040 vehicles by 2024 vehicles by 2029 vehicles by 2040 2.4 2.2 Annual Units in Operation (Million Vehicles) 2.0 1.8 1.6 1.4 1.2 1.0 0.8 0.6 0.4 0.2 0.0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast - High Demand Case Preliminary 2019 Demand Forecast - Reference Case Preliminary 2019 Demand Forecast - Low Demand Case * Note: the values presented are for the period ending 43
the values reported in this presentation are for discussion purposes only and are in draft form 3) Residential households • IESO conducted analysis on residential households by data supported by third-party consultant • Forecasted to be 150,000 more households (2.3 %) by 2035 than 2016 OPO: o Equivalent to about 1.5 TWh, all else being equal o Variance factors include increased net migration o The forecast assumes increasing multi-residential households is increasing relative to single-family households, as seen in the Toronto, Ottawa, Southwest and Niagara IESO Zones 44
the values reported in this presentation are for discussion purposes only and are in draft form 3) Residential households Years 11 – 21 7.1 Household growth 9 %, 0.9 % / yr Annual Residential Sector Household Availability (Million 6.9 6.7 Years 6 – 10 Household growth 6.5 6 %, 1.2 % / yr Units) 6.3 Years 1 – 5 Household growth 8 %, 6.1 1.5 % / yr 5.9 5.7 5.5 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast 2016 IESO OPO 45
the values reported in this presentation are for discussion purposes only and are in draft form 4) Industrial assumptions • With the exception of mining, most of the industries are relatively flat o the mining sub-sector is forecasted to continue to grow 22 20 18 16 Annual Energy Demand (TWh) 14 12 10 8 6 4 2 0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast 2016 IESO OPO * Includes impact of November 26, 2018 announcement of closure of GM Oshawa assembly plant 46
the values reported in this presentation are for discussion purposes only and are in draft form 4) Industrial assumptions 22 20 18 16 Annual Energy Demand (TWh) 14 12 10 8 6 4 2 0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast - Mining Preliminary 2019 Demand Forecast - Primary Metal Manufacturing Preliminary 2019 Demand Forecast - Paper Manufacturing Preliminary 2019 Demand Forecast - Automotive Vehicle Manufacturing Preliminary 2019 Demand Forecast - Chemical Manufacturing * Includes impact of November 26, 2018 announcement of closure of GM Oshawa assembly plant 47
the values reported in this presentation are for discussion purposes only and are in draft form 5) Transit assumptions • Energy demand and timing of transit projects have been updated from most recent available information • Metrolinx’s plan considers GO Rail system electrification in service by 2025, which will add about 1.1 TWh electricity demand. Various LRT projects will add about 0.3 TWh 1.4 1.2 Annual Energy Demand (TWh) 1.0 0.8 0.6 0.4 0.2 0.0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast - Metrolinx GO Rail System Electrification Preliminary 2019 Demand Forecast - Light Rail Transit Projects 2016 IESO OPO 48
the values reported in this presentation are for discussion purposes only and are in draft form 5) Transit assumptions (continued) • The expected in service schedule is summarized from public information of respective projects as of January 2019 Project 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 GO Rail system electrification Phase 1/1 (GTA) Hamilton LRT (Hamilton) Phase 1/1 ION LRT (Waterloo / Kitchener) Phase 1/2 Phase 2/2 Hurontario - Main LRT Phase 1/1 (Mississauga) Confederation LRT (Ottawa) Phase 1/2 Phase 2/2 Eglinton crosstown (Toronto) Phase 1/1 Sheppard east (Toronto) Phase 1/1 Finch west (Toronto) Phase 1/1 49
the values reported in this presentation are for discussion purposes only and are in draft form 6) Agricultural sector: assumptions • Leamington area has seen lots of load connection requests due to greenhouse growth (vegetable and cannabis greenhouses) that is expected to increase the region’s winter peak • A 500+ MW winter load growth is expected in 2020 and beyond • Forecast is supported by local/regional studies • In 2017, summer peak in IESO West zone is ~3,000 MW, winter peak is ~2,000 MW. The potential increase in load due to greenhouse expansion is approximately 25 % of IESO West zone’s winter peak • The IESO continues to monitor other agricultural regions in Ontario (e.g. Hamilton, Niagara, etc.) for possible inclusion in a future IESO annual planning outlook 3.9 3.7 Annual Energy Demand (TWh) 3.5 3.3 3.1 2.9 2.7 2.5 2.3 2.1 1.9 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast 2016 IESO OPO 50
the values reported in this presentation are for discussion purposes only and are in draft form Electricity price assumptions • The IESO requires a pricing assumptions for the forecast. The following assumptions have been made: o Assumes electricity prices as was updated in the 2017 electricity price forecast, with an adjustment for the later part of the price outlook to reflect ICA costing methodology: Residential electricity price forecast includes the Ontario Fair Hydro Plan Commercial electricity price forecast assumes a delivery cost based on the General Service < 50 MW rate class from the OEB yearbook The industrial rate forecast is a 55:45 blend of distribution embedded industrial rates and direct connect industrial rates. The distribution rate is based on the historical unit rate for the General Service > 50 kW, Large User (> 5,000 kW) and Sub Transmission rate classes from the OEB yearbook 51
the values reported in this presentation are for discussion purposes only and are in draft form Natural gas price assumptions • The IESO requires a pricing assumptions for the forecast. The following assumptions have been made: o Assumes natural gas prices as was updated in Sproule’s Dawn price forecast for October 2018 o Sproule’s October 2018 natural gas price outlook at Dawn is projected to be below $ 4.00 / MMBtu, at an average unit rate of about $ 3.90 / MMBtu (in real 2018 $) Significantly lower than the December 2015 outlook which assumed an average unit rate of about $ 5.30 / MMBtu (in real 2018 $) o Natural gas retail rate forecast is based on a Dawn price forecast for the gas supply charge and Union Gas southern M1 and M2 rates for residential and commercial delivery charges, respectively The industrial delivery charge is assumed to be a rate below the commercial rate of about 2 ¢ / m3 52
the values reported in this presentation are for discussion purposes only and are in draft form Price sensitivity due to carbon pricing • Electricity and natural gas prices are an important element to the demand forecast as consumers’ response to varying price signals may dictate which fuel they use for applications such as space or water heating • Natural Gas Prices: the natural gas prices included in the forecast did not include any carbon pricing. Sensitivity analysis was performed, which indicated that inclusion of a carbon price did not materially impact fuel switching and resulting forecast electricity demand • Electricity Rates: the electricity rates included in the forecast were based on the previous Supply/Demand Outlook, which included carbon pricing in the form of Cap and Trade. However, the impact of carbon pricing on electricity bills is minimized in the near-term due to the 25% bill reduction applied to residential customers through the Ontario Fair Hydro Plan • The forecast will be updated to reflect the most up-to-date carbon pricing policy applied at the time 53
the values reported in this presentation are for discussion purposes only and are in draft form Demand by sector • Over the forecasting horizon, commercial sector grows the most mainly due to the structural shift of employment from manufacturing sector to service sector • The second notable sector is agriculture growth mainly in Southern Ontario 190 180 170 160 150 Annual Energy Demand (TWh) 140 130 120 110 100 90 80 70 60 50 40 30 20 10 0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Residential Commercial Industrial Transportation (EVs & Transit) Agriculture Other * Others = Remote communities, Generator Demand, Water treatment, and Street Lighting 54
the values reported in this presentation are for discussion purposes only and are in draft form Major gross forecast updates of 2019 forecast vs 2016 forecast • Major factors which contributed to the change include: o Technical assumptions regarding residential-sector heating end-uses: the profiling of heating demand has been updated leading to higher winter peak demands o Agricultural growth: increased electricity demand in the agricultural sector in southern Ontario due to increased number of growers, greenhouses and adoption of growth lights • Near term highlights: years 1 - 5 (2020 - 2024): o Summer peak is relatively similar to 2016 OPO between 2020 and 2023. Energy and winter peak is forecasted to be about 4% higher than 2016 OPO forecast by 2024 mainly due to greenhouses and adjustments to residential heating load • Mid-term term highlights: years 6 - 10 (2025 - 2029): o Energy, summer peak and winter peak is forecasted to be 9%, 5% and 8% higher than 2016 OPO forecast by 2029 mainly due to absence of committed EE programs post 2020 55
the values reported in this presentation are for discussion purposes only and are in draft form Preliminary gross demand energy forecast comparison Subject to change • Gross demand is the total demand for electricity services in Ontario prior to the impact of conservation programs, and embedded generation 184 181 178 175 Annual Energy Demand (TWh) 172 169 166 163 160 157 154 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Gross Demand Forecast 56
the values reported in this presentation are for discussion purposes only and are in draft form Preliminary gross demand seasonal peak forecast comparison Subject to change 30,500 29,500 Annual Seasonal System Peak Demand (MW) 28,500 27,500 26,500 25,500 24,500 23,500 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Gross Demand Summer Peak Forecast Preliminary 2019 Gross Demand Winter Peak Forecast 57
the values reported in this presentation are for discussion purposes only and are in draft form Feedback: Gross forecast drivers Written feedback or comments can be sent to engagement@ieso.ca • Discussion Questions: o What should the IESO consider in the assumptions for the gross forecast drivers: Commercial floor space Electric vehicles Residential households Industrial load Transit projects Agricultural load Other: should the IESO consider drivers other than those presented? 58
the values reported in this presentation are for discussion purposes only and are in draft form 3) 2019 PRELIMINARY NET DEMAND ASSUMPTIONS 59
the values reported in this presentation are for discussion purposes only and are in draft form Net Demand Gross Demand: the total demand for electricity services in Ontario prior to the impact of conservation programs Net Demand: Ontario Gross Demand minus the impact of conservation programs Grid Demand: Ontario Net Demand minus the demand met by embedded generation. It is equal to the energy supplied by the bulk system to wholesale customers and local distribution companies through the IESO- administered markets 60
the values reported in this presentation are for discussion purposes only and are in draft form Net Demand: Comparison of 2019 annual planning outlook key assumptions 2019 annual 2019 annual planning outlook planning Driver 2016 OPO Years 1 - 5 Years 6 - 10 Years 11 - 21 outlook comparable (2020 - 2024) (2025 - 2029) (2030 - 2040) Program savings Program savings Program savings Program persistence persistence persistence savings continue to decay, continue to decay, continue to decay, 1) Energy Annual energy 11.3 TWh in 2024. 6.5 TWh in 2029. 0.1 TWh in 2040. persistence Efficiency (EE) savings of 15.8 Seeking input on Seeking input on Seeking input on continue to assumptions for assumptions for assumptions for Programs TWh in 2035 decay, 1.5 TWh EE for 2019 -2020 EE for 2019 -2020 EE for 2019 -2020 in 2035 CFF and beyond CFF and beyond CFF and beyond CFF CFF CFF Annual energy Annual energy Annual energy Annual energy savings of 14.4 savings of 9.2 savings of 11.5 savings of 15.3 Annual energy TWh in 2035. To TWh in 2024. To TWh in 2029. To TWh in 2040. To 2) Codes & savings of 14.9 be updated to be updated to be updated to be updated to Standards TWh in 2035 reflect changes in reflect changes in reflect changes in reflect changes in federal and federal and federal and federal and provincial C&S provincial C&S provincial C&S provincial C&S 1,000 MW peak 1,400 MW peak 3) Industrial reduction reduction 1,400 MW peak reduction Conservation from 2018 – from 2018 – from 2018 – 2040 Initiative (ICI) 2035 2035 61
the values reported in this presentation are for discussion purposes only and are in draft form 1) Energy efficiency: assumptions • The previous 2016 OPO required a forecast of conservation annual savings of 30 TWh in 2032: o From programs implemented since 2005 o Of which 16 TWh was expected to be achieved from EE programs and 14 TWh was expected to be achieved from Codes and Standards • The 2015 - 2020 CFF is o higher than the forecast in 2016 OPO and o expected to deliver more than its target of 8.7 TWh annual energy savings in 2020 • Current assumptions used to forecast EE programs include: 2015 -2017 2015 -2017 2018 2018 2018-2020 2020+ Verified: Forecasted: Forecasted: Seeking 5.7 TWh 1.1 TWh 4.2 TWh feedback persisting to persisting to persisting to and input 2020 2020 2020 • Note: verified programs savings decay over time once measures installed 62
the values reported in this presentation are for discussion purposes only and are in draft form 1) Energy efficiency: assumptions 14 12 10 Annual Energy Savings (TWh) 8 6 4 2 0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Historical Program Savings (2006 - 2017) Forecast Program Savings (2018 - 2020) 63
the values reported in this presentation are for discussion purposes only and are in draft form 1) Energy efficiency: assumptions (continued) • In addition to IESO managed EE programs, additional non- ratepayer funded EE programs, administrated via organization such as the Toronto Atmospheric Fund and Community Energy Plans* which contribute to energy efficiency savings • Federal Government Low Carbon Economy Fund programs announced in 2017 may contribute to electricity energy efficiency ($420m) * External EE program forecasts are not incorporated in current demand forecast due to limited data. 64 The IESO is seeking input from public regarding forecast data
the values reported in this presentation are for discussion purposes only and are in draft form 2) Codes & Standards • Building Codes: o Ontario building codes requires new and renovated buildings to meet certain energy efficiency levels, updated approximately every 5 years • Equipment Standards: o Minimum energy performance standards requires all products sold to comply with a minimum energy efficiency levels, results in gains in household appliances and other products for consumers and businesses • Savings estimates are based on the expected improvement in building codes and specified end uses equipment standards • An effective energy efficiency tool that embeds energy savings in buildings and equipment upgrades through regulation and requires no incremental ratepayer investment • Savings from codes and standards are forecasted to be approximately 15 TWh by 2040 65
the values reported in this presentation are for discussion purposes only and are in draft form 2) Codes & Standards • The IESO estimates savings to be attributed to Codes and Standards by comparing the reference case demand forecast to the forecast adjusted for the impacts of regulations • Generally, the regulations become more stringent over time which lead to more efficient products and buildings. Based on the regulation effective time, the energy saving analyses were performed by the following categories: o Existing and committed equipment standards: regulations are already in effective or have been announced with future effective dates o Future equipment standards: assumed increases of efficiency level o Existing building codes: regulations are already in effective o Future building codes: assumed more stringent energy efficiency requirements • The IESO reviews and monitors the existing and committed regulations. There is higher confidence to achieve the estimated savings • The anticipated efficiency level improvements of future codes and standards are considered and the resulted savings are estimated. They are based on the third-party studies and general trends. Future regulations may deviate from the assumptions and lead to higher or lower savings 66
the values reported in this presentation are for discussion purposes only and are in draft form 2) Codes & Standards 16 14 12 Annual Energy Savings (TWh) 10 8 6 4 2 0 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 Preliminary 2019 Demand Forecast - Future Equipment Standards Preliminary 2019 Demand Forecast - Existing & Committed Equipment Standards Preliminary 2019 Demand Forecast - Future Building Codes Preliminary 2019 Demand Forecast - Existing Building Codes 2016 IESO OPO 67
the values reported in this presentation are for discussion purposes only and are in draft form 3) Industrial Conservation Initiative: method • The ICI program is a function of Regulation 429/04 • Forecast methodology: o is retrospectively based on 2017 system peaks and reported demand reductions: results become available in Q4 of subsequent year, thus 2018 reported results are unavailable program rule changes were implemented for 2017, thus 2015 - 2016 reported results are not applicable includes transmission connected customer actual data and distribution connected customer estimated data due to lack of availability o to account for activity outside of top 5 peak demand hours and incorporate a profile of reduction instead of just demand reduction during a single hour • Methodology also needed to account for peak potentially occurring during both summer and winter seasons: o A total of 10 days were given forecast ICI reductions: 5 days with a peak reduction of approx. 1,400 MW (1,000 MW in 2016 OPO) and 5 days with 700 MW (325 MW in 2016 OPO) peak demand reduction. This is based on trends seen in 2017 o A generic hourly ICI profile for peak days was developed based on reductions observed in directly-connected Class A customers o The timing of these 10 days depends on the size of the summer peak relative to the winter peak for that year. Years were separated into 3 categories: Category Criteria ICI Applies To: Three or more of the top five peak days occur in the Clear Summer Top 10 summer days summer. All five peak days are in the winter. The fifth-ranked Clear Winter Top 10 winter days winter peak day is 5 % higher than the summer peak. 68
the values reported in this presentation are for discussion purposes only and are in draft form 3) Industrial Conservation Initiative: assumptions • ICI Forecast Assumptions: o The ICI reductions are assumed for the duration of the forecast o Peak demand grid impact remains at 1,400 MW for the top 5 days and 700 MW and the next 5 highest days o Below shows the profile of ICI impact during a typical ICI day 0.0 -0.1 -0.2 -0.3 Hourly Load Impact (GW) -0.4 -0.5 -0.6 -0.7 -0.8 -0.9 -1.0 -1.1 -1.2 -1.3 -1.4 -1.5 1 3 5 7 9 11 13 15 17 19 21 23 September 25, 2017 69
the values reported in this presentation are for discussion purposes only and are in draft form 3) Industrial Conservation Initiative: sensitivities • The current demand forecast assumes the same level of uptake for all years in the planning period (20 years): o A total of 10 days were given forecast ICI reductions: 5 days with a peak reduction of approx. 1,400 MW and 5 days with 700 MW peak demand reduction • Possible low and high demand cases revolve around a range of possible changes to many factors: o Participant eligibility o Demand reduction criteria o Demand reduction thresholds o Pricing structure o Growth in energy storage o Ability of consumers to predict annual system peaks o Others • The IESO is seeking stakeholder engagement feedback on how to forecast Industrial Conservation Initiative going forward 70
the values reported in this presentation are for discussion purposes only and are in draft form Feedback: Energy Efficiency Programs, Codes and Standards and Industrial Conservation Initiative Written feedback or comments can be sent to engagement@ieso.ca; • Discussion Questions: o What considerations should the IESO incorporate in forecasting: Energy Efficiency Program savings? □ What considerations should be applied for 2019 – 2020? □ What considerations should be applied post-2020? □ How to incorporate non-funded IESO program and is there data to support the analysis? Codes and Standards savings? □ What consideration should be made towards existing vs future savings? Industrial Conservation Initiative savings? □ What assumptions should be considered for future ICI savings in the long term forecast? □ Is there an ability for distributors to provide hourly Class A customer data? Note, monthly data is currently provided □ Is there access to market intelligence on the volume of battery storage that is being stalled? 71
the values reported in this presentation are for discussion purposes only and are in draft form 6) EVOLUTION OF LONG- TERM DEMAND FORECASTING 72
the values reported in this presentation are for discussion purposes only and are in draft form Evolution of Demand Forecasting Preliminary Gross Demand: the total demand for electricity services in Ontario prior to the impact of conservation programs In-Progress Net Demand: Ontario Gross Demand minus the impact of conservation programs Evolution Grid Demand: Ontario Net Demand minus the demand met by embedded generation. It is equal to the energy supplied by the bulk system to wholesale customers and local distribution companies through the IESO-administered markets 73
the values reported in this presentation are for discussion purposes only and are in draft form Evolution • Currently in the initial and exploratory stages evolving demand forecasting; in preparing for the ICA • Enhancing statistical forecasts will aid in moving towards grid demand forecasts would make it easier for the IESO to be able to compare performance of forecast against actual data and make necessary adjustments in the model if issues are noticed over time, as well as better quantify forecast uncertainty: o Parallel enhancements will also be made to gross and net demand forecasts • Further evolving the forecast from net demand grid demand - may better illustrate the difference and commonality between the annual planning outlook and the Reliability Outlook; two documents produced for different purposes • The successful evolution will be dependent on improved quality of data 74
the values reported in this presentation are for discussion purposes only and are in draft form Embedded Generation • IESO contracted resources: Forecast based on IESO contract resources. This data includes a high degree of certainty; including fuel specific generation profiles: o Capacity by fuel (solar, wind, biomass, hydro and natural gas) o Projected capacity combined with region specific production profiles o Results in projected production • Non-Contracted resources: Apply high-level aggregated data received by the IESO from LDC. This data is less granular and less certain: o FIT and MicroFIT program: With the end of these programs the changes to non- contracted resources will connect with distribution systems therefore the IESO visibility will decrease o Net IESO-contracted program: Should there be increased uptake, additional data and insight will be required in order to forecast appropriately o Behind the meter generation (BMG): As customers react to electricity prices there may be increased BMG occurring therefore additional data would be required to support accurate forecasting 75
You can also read