Energy Storage for Renewable Integration



Similar documents
Grid of the Future. Integration of Renewables Energy Storage Smart Grid. Presentation by David Hawkins Lead Renewables Power Engineer Grid Operations

Ancillary Services and Flexible Generation

ANCILLARY SERVICES SUPPLIED TO THE GRID: THE CASE OF THISVI CCGT POWER PLANT (GREECE)

Emissions from Traditional & Flywheel Plants for Regulation Services

Value of storage in providing balancing services for electricity generation systems with high wind penetration

Flexible Capacity Planning for Renewable Integration CEF Topical White Paper Jeremy Hargreaves, Elaine Hart, Ryan Jones, Arne Olson E3

Renewable Energy and the Role of Energy Storage

Sodium Sulfur Battery. ENERGY STORAGE SYSTEM for Reducing CO2 Emissions

Emissions Comparison for a 20 MW Flywheel-based Frequency Regulation Power Plant

SOLARRESERVE. BASELOAD SOLAR Power. Improving Mining Economics with Predictable Energy Costs

Solar One and Solar Two

CSP. Feranova Reflect Technology. klimaneutral natureoffice.com DE gedruckt

Totally Integrated Power SIESTORAGE. The modular energy storage system for a reliable power supply.

Study to Determine the Limit of Integrating Intermittent Renewable (wind and solar) Resources onto Pakistan's National Grid

Impact of Renewable generation

Comparison of CO 2 Abatement Costs in the United States for Various Low and No Carbon Resources. Total System Levelized Cost Based on EIA LCOE

Levelized Cost and Levelized Avoided Cost of New Generation Resources in the Annual Energy Outlook 2015

Stationary Energy Storage Solutions 3. Stationary Energy Storage Solutions

High Penetration of Distributed Solar PV Generation

Storage Battery System Using Lithium ion Batteries

Enabling 24/7 Automated Demand Response and the Smart Grid using Dynamic Forward Price Offers

System-friendly wind power

Battery Energy Storage

An Introduction to Variable-Energy-Resource Integration Analysis Energy Exemplar October 2011

Multi-Faceted Solution for Managing Flexibility with High Penetration of Renewable Resources

Integration of Electric Vehicles National Town Meeting on Demand Response + Smart Grid May 28, 2015

Overview of BNL s Solar Energy Research Plans. March 2011

ENERGY PRODUCING SYSTEMS

Siemens Hybrid Power Solutions. Cost and emission reduction by integrating renewables into diesel plants

Energy Storage Activities at New York Power Authority

Grid Edge Control Extracting Value from the Distribution System

Karnataka Electricity Regulatory Commission. Discussion note on

Hybrid Renewable Energy Systems for North-Eastern Poland

*This view is a sample image of electricity consumption.

Can India s Future Needs of Electricity be met by Renewable Energy Sources? S P Sukhatme Professor Emeritus IIT Bombay.

THE NET BENEFITS OF LOW AND NO-CARBON ELECTRICITY TECHNOLOGIES

Energy Systems Integration

Demand Response Market Overview. Glossary of Demand Response Services

Austin Energy Resource, Generation and Climate Protection Plan to 2025: An Update of the 2020 Plan

Preparing for Distributed Energy Resources

Deep Dive on Microgrid Technologies

Short-term solar energy forecasting for network stability

STORAGE ELECTRICITY. Improving the world through engineering

Smart solutions for fleets of all types & sizes of power generation. Marcus König, E F IE SGS / September 2013

Advanced Inverter Overview

HERBERT T. HAYDEN SOLAR TECHNOLOGY COORDINATOR FOR ARIZONA PUBLIC SERVICE COMPANY PHOENIX ARIZONA

Levelized Cost of New Electricity Generating Technologies

Preparatory Paper on Focal Areas to Support a Sustainable Energy System in the Electricity Sector

Solar Resource Measurement Importance. Wil Grady P.E. Southern California Edison Power Supply NREL PV Solar Resource Workshop Denver 2015

Energy storage in the UK and Korea: Innovation, Investment and Co-operation Appendix 4.1: Stakeholder interviews from Korea

COMPARING THE COSTS OF INTERMITTENT AND DISPATCHABLE ELECTRICITY GENERATING TECHNOLOGIES. Paul L. Joskow Alfred P. Sloan Foundation and MIT 1 ABSTRACT

Integration of Renewable Resources

DR Resources for Energy and Ancillary Services

EAMS for Future Grids

Meet the New DNV GL. A Global Energy Powerhouse. Planning the Grid for Winds of Change. January 2014

VOLATILITY AND DEVIATION OF DISTRIBUTED SOLAR

Energy Storage Market Overview MADRI 3/3/2015 John Fernandes Policy & Market Development Manager

Generating Current Electricity: Complete the following summary table for each way that electrical energy is generated. Pros:

Perspectives on CRMs from an Academic Point of View

Modeling of PV Based Distributed Generator Systems with Diverse Load Patterns

Impacts of large-scale solar and wind power production on the balance of the Swedish power system

How To Make Money From Energy Storage

Research and Development: Advancing Solar Energy in California

About Southern California Edison

Sensitivity analysis for concentrating solar power technologies

Integration of distributed energy resources and demand response in energy systems

From today s systems to the future renewable energy systems. Iva Ridjan US-DK summer school AAU Copenhagen 17 August 2015

Renewable Energy on Regional Power Grids Can Help States Meet Federal Carbon Standards

Perspectives for ESS in Germany and Europe legal situation and applications StoREgio energy storage system association

5/27/2015. Overview of Energy Storage Value Propositions and Business Cases. Utility Cost-Function: Foundation of Energy Storage Economics.

World s Greenest High Performance Data Center

SmartGrids SRA Summary of Priorities for SmartGrids Research Topics

Adapting Gas-Power Generation to New Role in Low-Carbon Energy Systems

Renewable Energy Research

STEADYSUN THEnergy white paper. Energy Generation Forecasting in Solar-Diesel-Hybrid Applications

Strategic Use of Electric Vehicle Charging to Reduce Renewable Energy Curtailment on Oahu

Energy Storage: Utility View. NARUC Winter Conference February 15, 2009

ENEL plans for storage introduction in Italian distribution network

Building a Stronger Grid with Energy Storage

Re: Docket No. RM , Comments on Proposed Rule on Integration of Variable Energy Resources

Optimal Power Flow Analysis of Energy Storage for Congestion Relief, Emissions Reduction, and Cost Savings

From Forecast to Discovery: Applying Business Intelligence to Power Market Simulations

Techno-Economics of Distributed Generation and Storage of Solar Hydrogen

SMART GRIDS PLUS INITIATIVE

ERCOT Analysis of the Impacts of the Clean Power Plan Final Rule Update

Renewable Energy Grid Integration

Transcription:

ESMAP-SAR-EAP Renewable Energy Training Program 2014 Energy Storage for Renewable Integration 24 th Apr 2014 Jerry Randall DNV GL Renewables Advisory, Bangkok 1 DNV GL 2013 SAFER, SMARTER, GREENER

DNV GL Personnel Jerry Randall (Speaker) DNV GL Project Development Engineer, Bangkok Experience of wind project feasibility & development across Asia Previously worked for large Chinese WTG manufacturer Graduate of the University of Cambridge 2 DNV GL 2013 6 May 2014

DNV GL Personnel Jerry Randall (Speaker) DNV GL Project Development Engineer, Bangkok Experience of wind project feasibility & development across Asia Previously worked for large Chinese WTG manufacturer Graduate of the University of Cambridge Richard Fioravanti (Global Expert) DNV GL Service Line Leader, Distributed Energy Resources On the Board of the NY-BEST organization (www.ny-best.org) Previously work in advanced aerospace and distributed generation applications Graduate of the University of Southern California 3 DNV GL 2013 6 May 2014

Contents 1) Variability of Renewable Sources 2) Effect of Variability on Grids 3) Need for Storage 4) Current Storage Activities 5) Overview 6) Case Study: California 4 DNV GL 2013 6 May 2014

Variability of Renewable Resources Solar Energy 1. Sunrise and sunset highly predictable 5 DNV GL 2013 6 May 2014

Variability of Renewable Resources Solar Energy 1. Sunrise and sunset highly predictable 2. Seasonal variations highly predictable 6 DNV GL 2013 6 May 2014

Impact of Solar on Distribution System Load Black line indicates the average load curve of the 134 households Yellow background quarter hourly solar radiation at the test site Source: G. Heilscher, H. Ruf: Ulm University of Applied Sciences, 2011 7

Impact of Solar on Distribution System Load Black line indicates the average load curve of the 134 households Yellow background quarter hourly solar radiation at the test site The load measured at the low voltage transformer drops during daytime due to feed in of solar power Source: G. Heilscher, H. Ruf: Ulm University of Applied Sciences, 2011 8

Impact of Solar on Distribution System Load Black line indicates the average load curve of the 134 households Yellow background quarter hourly solar radiation at the test site The load measured at the low voltage transformer drops during daytime due to feed in of solar power Time of maximum solar generation does not match typical load profile Between 9 AM and 2 PM load flow is reverse at the transformer Source: G. Heilscher, H. Ruf: Ulm University of Applied Sciences, 2011 9

Variability of Renewable Resources Solar Energy 1. Sunrise and sunset highly predictable 2. Seasonal variations highly predictable 3. Weather variations unpredictable & volatile 10 DNV GL 2013 6 May 2014

Variability of Renewable Resources Solar Energy 1. Sunrise and sunset highly predictable 2. Seasonal variations highly predictable 3. Weather variations unpredictable & volatile A cloud covers the sun within 1 sec 80% power reduction A fast cloud crosses a 10 MW system in about 1 minute Volatility must be considered when the penetration level is high to ensure grid resiliency 11 DNV GL 2013 6 May 2014

Variability of Renewable Resources Data source: NREL, Airportdata, 2010, Evaluation BEW, DNV KEMA 12 DNV GL 2013 6 May 2014

Variability of Renewable Resources Rapid fluctuation due to cloud movement Data source: NREL, Airportdata, 2010, Evaluation BEW, DNV KEMA 13 DNV GL 2013 6 May 2014

Variability of Renewable Resources Rapid fluctuation due to cloud movement Peaks occur when direct and reflected sunlight combine Data source: NREL, Airportdata, 2010, Evaluation BEW, DNV KEMA 14 DNV GL 2013 6 May 2014

Variability of Renewable Resources Rapid fluctuation due to cloud movement Peaks occur when direct and reflected sunlight combine Radiation changes rapidly between 200 and 1300 Watt/m 2 Data source: NREL, Airportdata, 2010, Evaluation BEW, DNV KEMA 15 DNV GL 2013 6 May 2014

Variability of Renewable Resources Rapid fluctuation due to cloud movement Peaks occur when direct and reflected sunlight combine Radiation changes rapidly between 200 and 1300 Watt/m 2 Ramps of up to 1000 Watt/m 2 per second are possible Data source: NREL, Airportdata, 2010, Evaluation BEW, DNV KEMA 16 DNV GL 2013 6 May 2014

Investigating Renewable Scenarios Renewable Inputs into Californian Grid Legend: 2020HI Renewables 2020LO Renewables 2012 Renewables 2009 Renewables 17

Variability: Two Different Problems 1) Renewable Variability Diurnal and Seasonal At night mostly wind production Mid-day mostly solar (Concentrated & PV) Variation can be addressed with regulation or slow storage 18

Variability: Two Different Problems 1) Renewable Variability Diurnal and Seasonal At night mostly wind production Mid-day mostly solar (Concentrated & PV) Variation can be addressed with regulation or slow storage 2) Ramping Diurnal and Short-term Wind down in morning and up in evening Solar up in morning and down late afternoon Ramping severity varies seasonally Ramping is much more of a problem than the calmer period variability Ramping requires coordination of fast storage with less fast conventional generation 19

Effect of Variability on Grid Common metrics have been defined for assessing grid performance Area Control Error (ACE) Measures difference between scheduled and actual load and supply. MW Signal that fluctuates around zero. Performance criteria stipulates allowable magnitude and variability MW Example of ACE Performance healthy ACE problematic ACE Hours 20 20

Effect of Variability on Grid Common metrics have been defined for assessing grid performance Area Control Error (ACE) Measures difference between scheduled and actual load and supply. MW Signal that fluctuates around zero. Performance criteria stipulates allowable magnitude and variability MW Example of ACE Performance healthy ACE problematic ACE Frequency Deviation Difference in load and supply results in frequency above or below nominal frequency (60Hz). Hours 21 21

ACE Affected by Increasing Renewables ACE 22

ACE Affected by Increasing Renewables Costs for regulation and balancing go up Increase in spinning reserves needed Conventional units operated inefficiently ACE High flexibility of the system needed 23

ACE Affected by Increasing Renewables Costs for regulation and balancing go up A Increase in spinning reserves needed Need ACE For Conventional units operated inefficiently Storage High flexibility of the system needed 24 DNV GL 2013 6 May 2014

ACE with Storage WITH STORAGE WITHOUT STORAGE Fast storage keeps ACE low 25

Sizing and Control of Storage Infinite Storage Never saturates WITH UNLIMITED STORAGE WITH LIMITED STORAGE WITHOUT STORAGE Limited Storage saturates 26 DNV GL 2013 6 May 2014

The Need for Storage Ramping problems are severe 27

The Need for Storage Ramping problems are severe Scheduling adjustments mitigate but will not cure the problem 15 min instead of 1h Day-Ahead schedules 28

The Need for Storage Ramping problems are severe Scheduling adjustments mitigate but will not cure the problem 15 min instead of 1h Day-Ahead schedules Fast storage must be correctly sized to mitigate large ramps 29

The Need for Storage Ramping problems are severe Scheduling adjustments mitigate but will not cure the problem 15 min instead of 1h Day-Ahead schedules Fast storage must be correctly sized to mitigate large ramps Optimize storage control logic to improve use of storage capacity 30

The Need for Storage Ramping problems are severe Scheduling adjustments mitigate but will not cure the problem 15 min instead of 1h Day-Ahead schedules Fast storage must be correctly sized to mitigate large ramps Optimize storage control logic to improve use of storage capacity Storage requires ramping capability of 0 100% in 5 min May indicate limited effectiveness of Pumped Hydro and Compressed Air 31

The Need for Storage Ramping problems are severe Scheduling adjustments mitigate but will not cure the problem 15 min instead of 1h Day-Ahead schedules Fast storage must be correctly sized to mitigate large ramps Optimize storage control logic to improve use of storage capacity Storage requires ramping capability of 0 100% in 5 min May indicate limited effectiveness of Pumped Hydro and Compressed Air Penetration levels > 20% are where issues become problematic > ~33% storage is essential 32

Recent Storage Activities Technologies are already being tested and demonstrated with renewable systems Hawaii has set ramp rate requirements that are being met with electricity storage Onus on plant owner Lithium and Advanced Storage systems are commissioned and operating in the field today Next Generation storage devices are now in labs offering even greater potential 33 DNV GL 2013 6 May 2014

Recent Storage Activities Technologies are already being tested and demonstrated with renewable systems Hawaii has set ramp rate requirements that are being met with electricity storage Onus on plant owner Lithium and Advanced Storage systems are commissioned and operating in the field today Next Generation storage devices are now in labs offering even greater potential Not all solutions need to be Utility-Scale Distributed Bulk storage Use of Electric Vehicle Storage Capacity? Smart Grids? 34 DNV GL 2013 6 May 2014

Island Applications Isolated grids magnify problems Islands rapidly exceed 20% renewable penetration (1 project) Cost of electricity is relatively high helps economics 35 DNV GL 2013 6 May 2014

Island Applications 3.5 MW peak ~4 MW generation 1 MV PV Example: Lanai (Hawaii) The transmission system 36 DNV GL 2013 6 May 2014

Benefits for Plant Owners - Leveling the daily output of the solar system essentially locking in demand savings that can be created by solar and lost by its intermittency - Energy time shifting from off-peak to peak periods - Emergency Back-up 37

Overview Increased renewables penetration will demand storage Short-term ramping volatility, especially solar, is a big issue demands fast acting storage solutions Eases variability and shift supply to peak demand Storage applications already in existence, especially in isolated grids How to implement? Centrally vs. Distributed. How to mandate without killing renewable projects? 38

CASE STUDY: CALIFORNIA Courtesy: MegaWattsSF 39 DNV GL 2013 6 May 2014

Flexible Capacity is Decreasing The mix of generation resources will evolve Solar The share of renewables will grow Wind OTC Retiring of flexible capacity from oncethrough cooling (OTC) Load growth expected and approximately 1,000 MW of combined heat and power 40 DNV GL 2013 6 May 2014

Operational Challenges Over the next 10 years in California Greater supply volatility Over 20,000 MW of wind and solar capacity will be added Uncertainty surrounding thermal generation resources ~12,000 MW of OTC thermal generation will be repowered or retired Less predictable load patterns Changes in load patterns due to distributed energy resources and electric vehicles Changing revenue patterns Decreasing marginal prices * OTC Once Through Cooling 41 41

Meeting Operational Challenges 42

ACE Affected by Increasing Renewables ACE 43

California Grid Study Undertaken using KERMIT tool, simulate grid now and for future scenarios. Energy Ramps <1 hour are going to be major issues Increased renewable capacity will increase regulation needs significantly Large amounts of regulation alone will not solve the problem Fast energy storage with 2 hours of capacity or more is an (expensive) solution 44

Required Storage Capacity and Control Storage capacity needed 2012 scenario, 1500MW 2h storage enough in most cases In 2020HI scenario, 3000MW 2h storage enough in most cases Even so performance will not be acceptable by today s standards Requires further investigation of renewable scheduling for certainty Performance will be sensitive to 15 30 minute errors in renewable forecasting 30 50 MW storage equivalent to 110 MW Conventional Thermal Varies with other system conditions, especially how much regulation is present System regulation requirements for non-ramping periods More than 800 MW in 2012 Approximately 1600 MW in 2020 45

Concentrated Solar Storage Solution Thousands of suntracking mirrors Central tower over 200m tall Molten salt energy storage and steam power plant generate electricity on demand Solar Reserve s Crescent Dunes 110MW Project with Storage Courtesy: Solar Reserve 46

Concentrated Solar Storage Solution Sunlight heats the molten salts directly Molten salt reserve used to power conventional steam turbine Storage with greater flexibility at lower cost 47 DNV GL 2013 6 May 2014

Benefits of Concentrated Solar Storage Renewable resource that can function as a load-following plant Dispatchable renewable generation not tied to fuel prices Management of large ramps Energy can be stored, not dumped Zero emissions ancillary services Lower exposure to fluctuating gas prices Will provide additional value streams for the plant owner The storage component enables participation in ancillary and real-time markets Power can be sold when prices are most favorable Potential new market rules or products may favour flexible generation Cost of Storage: ~ 15-20% of project capital costs 48

Thank-you Please Send any Questions to: Jerry.randall@dnvgl.com & Richard.Fioravanti@dnvgl.com www.dnvgl.com SAFER, SMARTER, GREENER 49 DNV GL 2013 6 May 2014