BEFORE THE PUBLIC UTILITIES COMMISSION OF THE STATE OF COLORADO * * * *

Similar documents
BEFORE THE PUBLIC UTILITIES COMMISSION OF THE STATE OF COLORADO * * * * *

RD1 - Page 469 of 578

As included in Load Forecast Review Report (Page 1):

NSP Electric - Minnesota Annual Report Peak Demand and Annual Electric Consumption Forecast

LOADS, CUSTOMERS AND REVENUE

REVISED UPDATED PREPARED DIRECT SAFETY ENHANCEMENT COST ALLOCATION TESTIMONY OF GARY LENART SAN DIEGO GAS & ELECTRIC COMPANY AND

BEFORE THE FLORIDA PUBLIC SERVICE COMMISSION DOCKET NO EI

Colorado PUC E-Filings System

PREPARED DIRECT TESTIMONY OF GREGORY TEPLOW SOUTHERN CALIFORNIA GAS COMPANY AND SAN DIEGO GAS & ELECTRIC COMPANY

Demand Forecasting Models

Multivariate Regression Model Results

2013 WEATHER NORMALIZATION SURVEY. Industry Practices

2014 FORECASTING BENCHMARK AND OUTLOOK SURVEY. Mark Quan and Stuart McMenamin September 16, 2014 Forecasting Brown Bag Seminar

BEFORE THE PUBLIC UTILITY COMMISSION OF THE STATE OF OREGON UE 294. Load Forecast PORTLAND GENERAL ELECTRIC COMPANY. Direct Testimony and Exhibits of

TRANSMISSION BUSINESS LOAD FORECAST AND METHODOLOGY

FINAL REPORT EVALUATION REVIEW OF TVA'S LOAD FORECAST RISK

NATIONAL ELECTRICITY FORECASTING REPORT UPDATE FOR THE NATIONAL ELECTRICITY MARKET

Page No. (and line no. if applicable):

2013 Weather Normalization Survey. Itron, Inc El Camino Real San Diego, CA

^=---_== i ^ RD1-405 of 473. Attachment RML-RD-13 Page 201 of 207 Docket No o^ 5. xs x U Z. W 5 OZ s E. Mi l. ^ ;evxze_^«e^ a a.

2018 Annual Review of Availability Assessment Hours

2013 FORECAST ACCURACY BENCHMARKING SURVEY AND ENERGY

Draft. Butte County Long-Term Regional Growth Forecasts

CHAPTER 5 - QUEENSLAND FORECASTS

SOCALGAS REBUTTAL TESTIMONY OF ROSE-MARIE PAYAN (CUSTOMERS) June 2015

SUBJECT: Adjustments to Photovoltaic and Electric Vehicle Forecasts to be Used in Southern California Edison Company's Distribution Planning

Ontario Demand Forecast

APPENDIX I: Traffic Forecasting Model and Assumptions

North Dakota Lignite Energy Industry s Contribution to the State Economy

Introduction to Forecasting

Statement of indicative wholesale water charges and charges scheme

Gorge Area Demand Forecast. Prepared for: Green Mountain Power Corporation 163 Acorn Lane Colchester, Vermont Prepared by:

Date: March 31, 2014 PATE; fyril 2.3,2 >H

FORECAST ACCURACY REPORT 2017 FOR THE 2016 NATIONAL ELECTRICITY FORECASTING REPORT

SAN DIEGO GAS AND ELECTRIC COMPANY SOUTHERN CALIFORNIA GAS COMPANY 2013 TRIENNIAL COST ALLOCATION PROCEEDING (A ) (DATA REQUEST DRA-MPS-2)

North Dakota Lignite Energy Industry's Contribution to the State Economy for 2002 and Projected for 2003

The North American Electric Reliability Corporation hereby submits Informational Filing of the North American Electric Reliability Corporation.

March 5, British Columbia Utilities Commission 6 th Floor, 900 Howe Street Vancouver, BC V6Z 2N3

Colorado PUC E-Filings System

MISO Independent Load Forecast Update

peak half-hourly Tasmania

The Comprehensive Report

GROWING APART: THE CHANGING FIRM-SIZE WAGE PREMIUM AND ITS INEQUALITY CONSEQUENCES ONLINE APPENDIX

SOUTH AUSTRALIAN WIND STUDY REPORT SOUTH AUSTRALIAN ADVISORY FUNCTIONS

City of Chino Hills General Plan Update 13GPA02 Scoping Meeting. June 4, 2013

Forecasts for the Reston/Dulles Rail Corridor and Route 28 Corridor 2010 to 2050

2018 FORECAST ACCURACY BENCHMARKING SURVEY AND ENERGY TRENDS. Mark Quan

Global Catalyst Market

Colorado PUC E-Filings System

The Dayton Power and Light Company Load Profiling Methodology Revised 7/1/2017

PRIMA. Planning for Retailing in Metropolitan Areas

peak half-hourly New South Wales

NOWCASTING REPORT. Updated: July 20, 2018

Normalization of Peak Demand for an Electric Utility using PROC MODEL

NOWCASTING REPORT. Updated: August 17, 2018

Variables For Each Time Horizon

Public Disclosure Copy

OREGON POPULATION FORECAST PROGRAM

T E S L A T O A C Q U I R E S O L A R C I T Y

WRF Webcast. Improving the Accuracy of Short-Term Water Demand Forecasts

Design of a Weather-Normalization Forecasting Model

WEATHER NORMALIZATION METHODS AND ISSUES. Stuart McMenamin Mark Quan David Simons

Load Forecasting Technical Workshop. January 30, 2004

Draft Wholesale Power Price Forecasts

Into Avista s Electricity Forecasts. Presented by Randy Barcus Avista Chief Economist Itron s Energy Forecaster s Group Meeting

Labor Market Polarization and a Changing Recovery in the Chicago Metropolitan Area

2006 IRP Technical Workshop Load Forecasting Tuesday, January 24, :00 am 3:30 pm (Pacific) Meeting Summary

A tale of two cities. John Daley, CEO, Grattan Institute Work and life in cities: City strategy in Australia Melbourne Economic Forum 27 October 2016

SMART GRID FORECASTING

NOWCASTING REPORT. Updated: October 21, 2016

APPENDIX 7.4 Capacity Value of Wind Resources

Interstate Power & Light (IPL) 2013/2014

EIA411 May 1, A Report to the Office of Energy Emergency Operations Department of Energy Under EIA-411

Population Trends Along the Coastal United States:

SOLVING PROBLEMS BASED ON WINQSB FORECASTING TECHNIQUES

Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan

RHODE ISLAND EMPLOYER S INCOME TAX WITHHOLDING TABLES DRAFT 11/27/2018.

The World Bank. Increased Access to Modern Energy (P110075) Key Dates. Project Development Objectives. Components. Public Disclosure Authorized

HEALTHCARE. 5 Components of Accurate Rolling Forecasts in Healthcare

Testimony. Before the Subcommittee on Environment, Energy, and Natural Resources, Committee on Government Operations House of Representatives

NOWCASTING REPORT. Updated: May 5, 2017

NOWCASTING REPORT. Updated: May 20, 2016

From Sales to Peak, Getting It Right Long-Term Demand Forecasting

NOWCASTING REPORT. Updated: February 22, 2019

Business Preparedness and Hurricane Risk

Putting the U.S. Geospatial Services Industry On the Map

Asset Life and pricing the use of infrastructure: the case of Electricity Transmission in Chile

AUTOMATED METERED WATER CONSUMPTION ANALYSIS

ESRI Research Note Nowcasting and the Need for Timely Estimates of Movements in Irish Output

Defining Normal Weather for Energy and Peak Normalization

FALCO PACIFIC COMPLETES INITIAL MODEL FOR THE HORNE 5 GOLD/SILVER/ZINC/COPPER DEPOSIT

NOWCASTING REPORT. Updated: September 14, 2018

NOWCASTING REPORT. Updated: November 30, 2018

The World Bank MA- Noor Ouarzazate Concentrated Solar Power Project (P131256)

Drexel Woods Homeowner s Association, Inc Baltimore National Pike, Box 158 Catonsville, MD 21228

In the Matter of Oter Tail Power Company s 2005 Integrated Resource Plan Compliance Filing Docket No. E-017/RP

CP:

NOWCASTING REPORT. Updated: January 4, 2019

Resource Adequacy Load Forecast A Report to the Resource Adequacy Advisory Committee

Forecasting demand in the National Electricity Market. October 2017

Transcription:

Exhibit No. 1 BEFORE THE PUBLIC UTILITIES COMMISSION OF THE STATE OF COLORADO * * * * IN THE MATTER OF THE APPLICATION OF PUBLIC SERVICE COMPANY OF COLORADO FOR APPROVAL OF ITS 0 ELECTRIC RESOURCE PLAN DOCKET NO. A-E SECOND SUPPLEMENTAL DIRECT TESTIMONY AND EXHIBITS OF JANNELL MARKS ON BEHALF OF PUBLIC SERVICE COMPANY OF COLORADO July, 01

LIST OF EXHIBITS Exhibit No. JM-1 An updated Section. (Electric Energy & Demand Forecasts of Volume II Technical Appendix from the Company s 0 Electric Resource Plan

BEFORE THE PUBLIC UTILITIES COMMISSION OF THE STATE OF COLORADO * * * * IN THE MATTER OF THE APPLICATION OF PUBLIC SERVICE COMPANY OF COLORADO FOR APPROVAL OF ITS 0 ELECTRIC RESOURCE PLAN DOCKET NO. A-E SECOND SUPPLEMENTAL DIRECT TESTIMONY AND EXHIBITS OF JANNELL MARKS 1 1 1 I. INTRODUCTION AND PURPOSE Q. PLEASE STATE YOUR NAME AND BUSINESS ADDRESS. A. My name is Jannell Marks. My business address is 0 Larimer Street, Denver, Colorado 00. Q. BY WHOM ARE YOU EMPLOYED AND IN WHAT POSITION? A. I am employed by Xcel Energy Services, Inc., a wholly-owned subsidiary of Xcel Energy Inc., the parent company of Public Service Company of Colorado. My job title is Director, Sales, Energy and Demand Forecasting. Q. FOR WHOM ARE YOU PROVIDING TESTIMONY? A. I am testifying on behalf of Public Service Company of Colorado (Public Service or Company in this proceeding. Q. DID YOU FILE DIRECT TESTIMONY IN THIS CASE? A. Yes. 1

Q. WHAT IS THE PURPOSE OF YOUR SECOND SUPPLEMENTAL DIRECT TESTIMONY? A. The purpose of my testimony is to present the Company s updated sales and peak demand forecast. In addition, I will provide a brief description of the sales and peak demand forecast and the methodology used to develop the forecast. Finally, I am providing as Exhibit No. JM-1, an updated Section. (Electric Energy & Demand Forecasts of Volume II Technical Appendix from the Company s 0 Electric Resource Plan. Exhibit No. JM-1 has been updated to reflect the Company s updated sales and peak demand forecast. 1 1 1 1 1 1 II. SALES AND PEAK DEMAND FORECAST Q. WHY IS THE COMPANY FILING AN UPDATED SALES AND PEAK DEMAND FORECAST AT THIS TIME? A. As the Company stated in Volume I of the 0 ERP, "Public Service proposes that [its] capacity need assessment be updated with the then current load and resource information just prior to the Phase competitive solicitation process to determine the capacity need for the acquisition of additional resources. See 0 ERP, Vol I, p. 1-." Thus, we also intended 1 to update our sales and peak demand forecast prior to Phase. We are 1 0 1 updating the sales forecast now to give the Commission a view of our resource needs during the Resource Acquisition Period ("RAP" in light of the events outlined in Mr. Hill's Supplemental Direct Testimony. Q. GENERALLY, WHEN DOES THE COMPANY UPDATE ITS SALES AND PEAK DEMAND FORECAST?

1 1 A. The Company usually updates its sales and peak demand forecast twice a year: in the February/March time frame and in the August/September time frame. The Company completed an update to its sales and peak demand forecast in March, 01. Q. SINCE FILING THE 0 ELECTRIC RESOURCE PLAN ON OCTOBER, 0, HAS THE COMPANY UPDATED ITS SALES AND PEAK DEMAND FORECAST? A. Yes, the Company completed an update to its sales and peak demand forecast in March, 01. Q. PLEASE DESCRIBE PUBLIC SERVICE S UPDATED SALES AND PEAK DEMAND FORECAST. A. The updated sales and peak demand forecast is presented in Table 1, shown on the following page.

1 1 1 Table 1 Actual and Forecasted Summer Native Load Peak Demand and Annual Native Load Energy Sales Summer Native Load Peak Demand Annual Native Load Energy Sales MW Annual Growth GWh Annual Growth 00,0.% 1,.0% 00,.% 1, 0.% 00, 0.0%, 1.% 00,1.%,1.1% 00, -.%,0 0.% 00,0.%,.% 00, -.%, -.% 00, -.%,1 -.% 0,.%,1-0.% 0,0.%, -1.% 01, -.% 0, -.% 01, 1.% 1,1 0.% 01, 0.% 1,1 0.% 01,0 1.% 1, 0.% 01, 1.% 1, 1.1% 01, 1.0%,1 0.% 01, 1.0%, 0.% Q. PLEASE SUMMARIZE THE DATA REFLECTED IN TABLE 1. A. Over the past five years (00-0, Public Service s native sales (retail and firm wholesale requirements decreased 0. percent per year on average. Retail sales increased 1. percent per year on average, while firm wholesale requirements declined an average of. percent per year. From 01 through 01, Public Service s Base Case native sales (retail and firm wholesale requirements are projected to be lower than 0 sales levels, resulting in a compounded annual rate of decline of -0.1 percent through 01. However, this decline occurs entirely in 01 (-. percent lower than 0, due in large part to the expiration of the Black Hills contract at the end

1 1 1 1 1 1 1 1 0 1 of 0. After declining in 01, native sales are projected to increase through 01 at a compounded annual rate of 0. percent. Retail sales are expected to increase at an average annual rate of 0. percent from 01 through 01, while firm wholesale requirements are projected to grow at a compounded annual rate of 0. percent during this time period. Public Service s Base Case native peak demand increased at a compounded annual rate of 0. percent over the past five years (00-0. At the time of the 0 peak, additional load was being served to Holy Cross and Intermountain due to Comanche being unavailable. Without this additional load served in 0, the 00-0 compounded annual rate of growth would be 0.0 percent. From 01 through 01 native peak demand is projected to be lower than 0 peak demand levels, resulting in a 0.0 percent compounded annual growth rate. Similar to native sales, this decline occurs entirely in 01, due to the expiration of the Black Hills contract and the high 0 peak due to the Comanche unavailability. After declining in 01 with the expiration of the Black Hills contract and with Comanche assumed to be available, native peak demand is projected to increase through 01 at a compounded annual rate of 1. percent. The forecast of native sales and peak demand includes achievement of the Demand-Side Management ( DSM goals consistent with the Strategic Issues docket. The low historical period growth rates are due primarily to the loss of wholesale customers during these time periods, in addition to the current weak economic conditions.

1 1 1 1 1 1 Q. WHAT METHODOLOGY WAS USED TO DEVLEOP THIS UPDATED FORECAST OF SALES AND PEAK DEMAND? A. The Company used the same methodology that was used to develop the sales and peak demand forecast presented in the Company s 0 Electric Resource Plan, Volume II Technical Appendix Section.. Q. HOW DOES THE UPDATED FORECAST COMPARE WITH THE FORECAST PRESENTED IN THE COMPANY S 0 ELECTRIC RESOURCE PLAN AS FILED ON OCTOBER 1, 0? A. Table provides a comparison of the updated forecast of peak demand and sales with the 0 Electric Resource Plan forecast of peak demand and sales. By 01, the updated peak demand forecast is 0 megawatts (MW (1. percent higher than the 0 Electric Resource Plan forecast, while the updated sales forecast is gigawatt-hours (GWh (1. percent lower than the Resource Plan forecast. Table Comparison of Updated Summer Native Load Peak Demand and Annual Annual Native Load Energy Sales Forecast with ERP Forecast Summer Native Load Peak Demand (MW Annual Native Load Energy Sales (GWh ERP Forecast Updated Forecast Change ERP Forecast Updated Forecast Change 01,1, 1,0 0, -1 01,, 1, 1,1-1 01,1, 1,0 1,1-01,,0 1,0 1, - 01,,,0 1, -1 01,,,,1-01,, 0,, -

Q. IS THIS MAGNITUDE OF CHANGE BETWEEN THE TWO FORECASTS WITHIN A REASONABLE RANGE? A. Yes. In the October 0 ERP filing, the Company provided high and low forecast sensitivities that were developed using Monte Carlo simulations to establish confidence bands around the base forecast. The high forecast sensitivity represented the th percentile confidence band, while the low forecast sensitivity represented the 1 th percentile confidence band. Based on the confidence bands associated with the ERP base forecast, the updated peak demand forecast is at the th percentile level, while the updated sales forecast is at the th forecast range. percentile level. This is well within a reasonable 1 1 1 1 1 1 1 1 0 1 Q. WHAT ARE THE MAJOR CONTRIBUTORS TO THE CHANGES IN THE UPDATED FORECAST? A. The increase in the peak demand forecast is the result of a higher-thanexpected actual 0 peak, which flows through the entire forecast horizon, and higher forecasted peak loads for the Company s firm wholesale customers. The largest driver of the lower sales forecast is lower residential sales, which is the result of both slower growth in the number of residential customers and greater declines in residential use per customer. The updated forecast of residential customer additions is lower than the ERP forecast due to housing starts recovering at a slower pace than previously expected. In addition, the projected decline in residential use per customer is greater than

1 1 1 1 1 1 1 1 the decline previously forecasted due in large part to greater efficiencies, and thus less growth, in the miscellaneous end use category. The miscellaneous end use category includes miscellaneous electric appliances and plug-in loads. Q. HOW HAS THE FORECAST OF THE ECONOMY CHANGED SINCE THE ERP FORECAST WAS DEVELOPED? A. The updated sales and peak demand forecast is based on an economic forecast for the state of Colorado provided by IHS Global Insight. The forecast was obtained from IHS Global Insight in December 0. The December 0 economic outlook for the Company s service territory through the Resource Acquisition Period ending in 01 continues to show that Colorado s economy will slowly improve, but overall growth will be stronger than recorded over the previous five years. Growth in Colorado real GSP is expected to average.1 percent per year from 0 to 01. This is slower growth than the. percent growth projected with the original ERP forecast. Real personal income growth is expected to average. percent per year through 01, again, slower than the original ERP forecast of. percent. Non-farm employment should advance by 1. percent annually on average over the Resource Acquisition Period, which is the same growth rate 0 projected with the original ERP forecast. Public Service s residential 1 customers are expected to increase by, over the next years, averaging gains of 1. percent per year through 01. As I mentioned

1 1 1 previously, this is slower than the original ERP projected growth of 1. percent per year. Q. PLEASE SUMMARIZE YOUR TESTIMONY. A. My testimony presents the Company s updated sales and peak demand forecast as provided in Exhibit JM-1, the updated Section. (Electric Energy & Demand Forecasts of Volume II Technical Appendix from the Company s 0 Electric Resource Plan. By 01, the updated peak demand forecast is 0 megawatts (MW (1. percent higher than the 0 Electric Resource Plan forecast, while the updated sales forecast is gigawatt-hours (GWh (1. percent lower than the Resource Plan forecast. These forecast changes are well within a reasonable forecast range based on the confidence bands associated with the ERP base forecast Q. DOES THIS CONCLUDE YOUR TESTIMONY? A. Yes, it does.