National Renewable Energy Laboratory, Photovoltaic Resource of the United States (2009). Map shows annual average solar resource for a solar PV system.

Slides:



Advertisements
Similar presentations
Photovoltaic Solar Energy
Advertisements

ENERGY VALUE. Summary  Operational Value is a primary component in the Net Market Value (NMV) calculation used to rank competing resources in the RPS.
PV Market Trends and Technical Details. All of US has Suitable Solar Resource for Large Scale PV Deployment.
Current Northwest Energy Issues A BPA Customer Perspective Dan James PNWA Summer Meeting June 23, 2014.
Solar Energy Florida Electric Cooperatives Association 2014 Finance & Accounting Conference Glenn Spurlock September 17, 2014.
1 Generation Adequacy Task Force Report to TAC April 7, 2005.
The Massachusetts Approach to Power Plant Clean-up Policy Making and Standards Setting to Reach Clean Air Sonia Hamel Massachusetts Executive Office of.
ECONOMIC EVALUATION OF ENERGY PRODUCED BY A BIFACIAL PHOTOVOLTAIC ARRAY IN THE ERA OF TIME-OF-USE PRICING J. Johnson, K. Hurayb, Y. Baghzouz Electrical.
Photovoltaic Project Proposal: Cramer Hall Portland State University Solar Energy Technology Summer, 2003 Dr. Carl Wamser Christopher Hinton July 27, 2003.
Energy Resources Human Impact on the Environment.
2011 Long-Term Load Forecast Review ERCOT Calvin Opheim June 17, 2011.
THE PROCESS OF DESIGNING A PV SYSTEM
How Winds are Created The earth’s winds are caused by pressure differences across the earth’s surface due to uneven heating Local Winds: During the day.
Smart Storage Space and Water Heaters Resources for Grid Management, Renewable Integration, and Conservation Paul Steffes Steffes Corporation
Lecture 7: PV Performance UTI-111 Prof. Park Essex County College.
National Renewable Energy Laboratory Innovation for Our Energy Future * NREL July 5, 2011 Tradeoffs and Synergies between CSP and PV at High Grid Penetration.
E8 / PPA Solar PV Design Implementation O&M Marshall Islands March 31-April 11, Solar Photovoltaic Theory 1-2. Potential assessment.
Big Sandy Rural Electric Cooperative Corporation 2006 Load Forecast Prepared by: East Kentucky Power Cooperative, Inc. Forecasting and Market Analysis.
Farmers Rural Electric Cooperative Corporation 2006 Load Forecast Prepared by: East Kentucky Power Cooperative, Inc. Forecasting and Market Analysis Department.
Slayton Solar Project RDF Grant Award EP3-10 Presentation of the Project Results to the RDF Advisory Board January 8, Project funding provided by.
CSG Webinar A Look At Community Solar and EECLP. 2.
Designing Solar PV Systems (Rooftops ). Module 1 : Solar Technology Basics Module 2: Solar Photo Voltaic Module Technologies Module 3: Designing Solar.
Creating A Cleaner Energy Future For the Commonwealth Focusing on Solar PV: Technology, Siting Considerations, Incentives Natalie Andrews Renewable Energy.
Solar Energy Physics 52. Outline Basics of today’s power generation The Sun Photovoltaic Cell Modules and systems A little economics Conclusion Quiz.
Warren Lasher Director, System Planning October 4, 2014 Our Energy Future.
AGENDA INTRODUCTION CELLS AND COMPONENTS PV PERFORMANCE PV APPLICATIONS CODES AND STANDARDS EMERGENCY RESPONSE.
Electric Energy Resources Chris Nelson Commissioner SD Public Utilities Commission October 2012.
Solar Energy. Solar energy has been an under-achiever Source: U.S. Department of Energy.
Link Building PV project By: Culver Matt Labaume Natasha Narnio Guillaume Roux Arnaud Stanton Andrew Thompson Matt Troyano Joana ENS Renewable.
Green Universities and Colleges Subcommittee March 16, 2011.
Grayson Rural Electric Cooperative Corporation 2006 Load Forecast Prepared by: East Kentucky Power Cooperative, Inc. Forecasting and Market Analysis Department.
ELECTRICITY SOURCES Twenty five percent of the state’s electricity comes from out-of-state generation.
Investigating Renewable Energy Data from Photovoltaic (PV) Solar Panels In Petersham, MA.
ENERGY CENTER State Utility Forecasting Group (SUFG) Alternative Resources and Energy Capacity Presented by: Douglas J. Gotham Purdue University Presented.
Power Electronics Needs and Performance Analysis for Achieving Grid Parity Solar Energy Costs T. Esram, P. T. Krein, P. L. Chapman Grainger Center for.
The Regulatory Assistance Project 50 State Street, Suite 3 Montpelier, VT Phone: Teaching The Duck To Fly Pacific.
The Future of Electricity Analyzing the Next Decade of Ontario’s Power Generation.
Discussion Forum 2004 APPA National Conference June 19 – 23, 2004 Seattle, Washington Issues for Green Power Programs Designing Marketing and Pricing.
Resource Adequacy Steering Committee Meeting October 4, 2011.
CRed Carbon Reduction N.K. Tovey ( 杜伟贤 ) M.A, PhD, CEng, MICE, CEnv Н.К.Тови М.А., д-р технических наук Energy Science Director CRed Project Recipient.
© Copyright 2013, First Solar, Inc. Establishing Accurate Power Generation Cost Assumptions for ERCOT Planning Colin Meehan – Director, Regulatory and.
2016 Long-Term Load Forecast
Electric Reliability Council of Texas (ERCOT) A Success Story… In Progress Ingmar Sterzing United States Association of Energy Economics (USAEE) Pittsburgh.
WFEC and Its Rural Electric Cooperative Members Solar Power October 16, 2015 Fall PR-MR & Marketing Meeting.
China's Location in the World 1 kilometer = miles.
2005 Community Entrepreneurship Academy “Creating Communities that Support Entrepreneurs” Manning, Iowa – 10/21/05 Entrepreneurship & the Wind Market David.
Blue Grass Energy Cooperative Corporation 2006 Load Forecast Prepared by: East Kentucky Power Cooperative, Inc. Forecasting and Market Analysis Department.
Licking Valley Rural Electric Cooperative Corporation 2006 Load Forecast Prepared by : East Kentucky Power Cooperative, Inc. Forecasting and Market Analysis.
FUTURE CITY PROJECT Distribution and Use of Energy Mark Casto/ Program Staff EMBHSSC
Analysis of Demand Response Modeling in GridView Andy Satchwell and Sarah Smith Modeling Work Group December 21, 2015 The work described in this presentation.
BI Marketing Analyst input into report marketing Report TitleElectricity in Texas Report Subtitle State profile of power sector, market trends and investment.
Lessons Learned from Existing RTOs John Moore January WCEA Meeting January 7 th, 2016.
Terms & Definitions.
In 2014, the average levelized price of signed wind power purchase agreements was about 2.35 cents per kilowatt-hour. This price is cost competitive with.
The following slides provide information about integrating wind energy into the electricity grid. Photo by Dennis Schroeder, NREL 25907NREL
Analysis of “Hybrid” Renewable Energy Technology “SolarMill ® ” versus “Solar‐Only” I recently spoke with Dan Bates, CEO of Windstream Technologies,about.
B101 The Technology Context Course work 1 Sustainable energy Student: QXTmNu3xyI#
Distributed Renewable Generation Profiling Methodology ERCOT Load Profiling March 4, 2008.
©2003 PJM 1 Presentation to: Maryland Public Service Commission May 16, 2003.
Powering a Reliable and Sustainable Energy Future for Ontario Bruce Campbell, President and CEO, IESO March 3, 2016.
Energy Futures A look BACK at and a look FORWARD to, “ENERGY use in WISCONSIN”
Bypass Distributed Generation (DG) Forecast Methodology
Earth Energy Advisors Monthly Energy Report
Utility Pricing in the Prosumer Era: An Empirical Analysis of Residential Electricity Pricing in California Felipe Castro and Duncan Callaway Energy &
Utility Pricing in the Prosumer Era: An Empirical Analysis of Residential Electricity Pricing in California Felipe Castro and Duncan Callaway Energy &
Teaching The Duck To Fly
Photovoltaic cell energy output:
System Function and Design
ISO New England Net Load Analysis with High Penetration Distributed PV
Solar photovoltaics Solar radiation
Presentation transcript:

National Renewable Energy Laboratory, Photovoltaic Resource of the United States (2009). Map shows annual average solar resource for a solar PV system where the tilt equals the latitude. This and other solar resource maps are available at This map illustrates the solar resource that reaches each state in the U.S. Most of Iowa is covered by a solar resource similar to what is found to our south and east.

Modeled using NREL PV Watts version 1.0. We used a 1 kW AC array (e.g., a kW-dc array with a.79 derate factor), fixed, south-facing, and the PV Watts default recommended tilt for each location. NREL PV Watts is available here: This chart compares the performance of the same solar PV array located in Des Moines and Atlanta, Miami, Houston, Phoenix, Newark, and Chicago

All rankings based data included in NREL’s Renewable Electricity Futures Study (2012). Iowa’s technical potential ranks above many states that are further south.

Iowa’s solar potential far exceeds the amount of energy generated and sold in the state in 2010.

Modeling conducted using NREL PV Watts version 1.0. In Iowa, solar PV produces more energy in the summer than in the winter, but the average days in January, April, July, and October are not that different.

This chart shows the average monthly production of a solar PV array in Iowa throughout the year.

Utility annual reports filed with the Iowa Utilities Board. Municipal utility reports are filed using Form ME-1, cooperative reports are filed using Form EC-1. We compiled data from all reports filed in 2012 for calendar year Individual reports can be accessed using the IUB’s electronic filing system, In the summer, about 50% of Iowa’s cooperative utilities and 85% of municipal utilities reach their monthly system coincident peak between noon and 6 p.m., when solar PV is producing energy. These charts include the 36 cooperative utilities and 114 municipal utilities that reported data in 2011.

This chart shows a large amount of solar energy is available when Iowa utilities experience peak demand, shown in the highlighted area. Two strategies exist to help a utility with late afternoon or early evening peak demand succeed with solar. First, a rotating axis array or a southwest facing array would produce more energy at the end of the day than the south-facing array used in this model, allowing solar PV to contribute more energy at 5 or 6 p.m. In addition, demand-side management programs can shift demand so more occurs during peak solar production hours. Currently, these programs shift demand away from those hours.

Dates are those reported by IPL and MidAmerican in annual energy efficiency reports as triggered by a peak demand condition. Interstate Power and Light Company, Annual Report for 2012 Energy Efficiency Plan, (2013); MidAmerican Energy Company, 2012 Annual Report to the Iowa Utilities Board (2013). Actual output from Farmer’s Electric Cooperative community solar array. A rating of ‘high’ indicates the solar panels were producing at 80% or greater of their monthly maximum daily production. This chart shows that solar PV systems in Iowa were producing electricity at or above average production for the month on almost every day when power demand was at its highest.

Utility annual reports Form ME-1 and Form EC-1 filed with the IUB. For most of the year, the trend of monthly solar PV production follows and closely matches the trend of monthly electricity sales for Iowa’s municipal and cooperative utilities.

MISO data from Real Time Market LMP report of the July-September 2012 quarter using data from the gennode MEC.BEPM.Neal4. We started with the list of dates that Iowa utilities called curtailment events and used MISO Market Subcommittee reports to screen out dates where high prices were the result of generator outages or other events not necessarily related to daily summer peaks caused by high temperatures and resulting air conditioning load. This graph compares the average summer production from a PV array in Iowa with the hourly changes in wholesale prices in the Midwestern electricity market (MISO) on the hot summer day of July 18, On these types of days, solar PV production and electricity prices frequently follow a similar trend.

Solar can realistically provide as much or more electricity to Iowans as natural gas, nuclear, or hydroelectric energy do today.

The three circles above represent the geographical area needed to install enough solar PV to meet 100%, 20%, and 2% of Iowa’s electricity needs. All solar would not be centralized in a single location, so this is just a representative illustration of the land area required.

For these graphs, we used NREL’s PV Watts version 1.0 to model an average day for solar in January, April, July, and October. We used real historical hourly wind production data available from MISO to create an average day for wind for each of those same months, and then compared the two. MISO wind production data available here: This graph compares an average day of wind production with an average day of solar production in the months of January, April, July, and October. In each of these months, as wind production declines during the day, solar PV production increases. Shortly after PV declines, wind power picks back up. Note that this figure compares two different types of data sets. We used real historical hourly wind production data from MISO and modeled hourly solar data from NREL’s PV Watts. More research is needed on the interaction of wind and solar in market and non-market conditions. For example, the wind data from MISO may be influenced by curtailments to wind farms caused by market price, congestion, or other factors.

This chart uses modeled solar PV data from NREL’s PV Watts version 1.0 and modeled wind data from the Iowa Energy Center’s wind energy calculator. Solar production is highest in summer months, when wind production declines. As solar production declines in winter, wind production is at its highest.

Chart used with permission from SEIA. SEIA/GTM Research, U.S. Solar Market Insight Q2 2013, and Lawrence Berkeley National Lab, Tracking the Sun IV. Solar PV prices have come down dramatically in recent years.

Interstate Renewable Energy Council, U.S. Solar Market Trends 2012 (2013) available at Solar PV capacity nationally has increased dramatically in the past decade. This chart show annual or incremental solar PV capacity added by year from 2001 to 2010.

Based on data utilities file with the Iowa Utilities Board, including bi-annual interconnection reports. Solar installations are increasing annually, as measured by interconnection agreements in Alliant Energy and MidAmerican Energy’s service territories from

Source: SEIA/GTM Research: U.S. Solar Market Insight®; Iowa Environmental Council Analysis. This chart compares the top ten states for solar installations in 2012 with Iowa. Iowa installed approximately 1 megawatt of solar PV in 2012, while California saw over 1,000 MW installed. States with similar electric rates and solar resources as Iowa, such as North Carolina, installed 132 MW or 132 times what Iowa installed.