Strategies to Reduce Bat Fatalities at Wind Energy Facilities Working Together to Resolve Environmental Effects of Wind Energy Cris Hein International.

Slides:



Advertisements
Similar presentations
The shoreline OWC wave power plant at the Azores
Advertisements

California Energy Commission 1 Energy Workshops for W&WW Agencies UTILITY STRATEGIES FOR SHIFTING PEAK DEMAND PERIOD WATER & ENERGY USE REGIONAL STRATEGIES:
SEHS: Option A: A2 cont’d Environmental factors part II
Controller design for a wind farm, considering both power and load aspects Maryam Soleimanzadeh Controller design for a wind farm, considering both power.
Challenge the future Delft University of Technology Blade Load Estimations by a Load Database for an Implementation in SCADA Systems Master Thesis.
AES Buffalo Gap Wind Farm Buffalo Gap MW 155 – GE 1.5 sle Presented August 22, 2008 By Robert Sims AES Wind Generation.
Bats and wind energy Can bat activity patterns make them vulnerable to wind turbine impacts Tiffany Thwaits NMMU Prof. G. Kerley Dr. N. Mzilikazi Energy.
Wind Energy Development Wildlife Issues and Concerns Wind and Prairie Task Force February 27, 2004 Edward A. Martinko State Biologist and Director Kansas.
Wind Power in Western North Carolina Potential Avian Impacts Source: avian.php.
Calvin College Wind Energy Project Engineering 333, Fall 2006 Calvin College Wind Energy Project Engineering 333, Fall 2006 To demonstrate Calvin’s interest.
Wind Energy and Scientific Conservation: Assessment of Risks to Migratory Birds Andrew Farnsworth, Conservation Science Program Kenneth V. Rosenberg, Director.
Deep Water Offshore Wind Energy By Paul D. Sclavounos Horns Rev Wind Farm (Denmark) - Rated Power 160 MW – Water Depth 10-15m.
Parameterised turbine performance Power Curve Working Group – Glasgow, 16 December 2014 Stuart Baylis, Matthew Colls, Przemek Marek, Alex Head.
Wind energy in NZ 20% wind by 2030 Eric Pyle, Chief Executive, NZ Wind Energy Association.
Wind Energy Chemical Engineering Seminar By: Jacqueline Milkovich.
Kevin Little Zack Paull Paul Kane Jeremy Callahan.
1 Regional Wind Energy Purchase Jim Caldwell Montgomery County Department of Environmental Protection April 5, 2004.
Wind Turbine Design Grade 1 – ENERGY IN OUR LIVES What have we learned? Wind has energy. The sun is the principal source of.
Coastal Wind Energy Study In summer 2008, the North Carolina General Assembly directed the UNC Board of Governors to study wind energy feasibility University.
Power Generation from Renewable Energy Sources
Frequency Response Initiative Robert W. Cummings Director of System Analysis and Reliability Initiatives NERC Standing Committees September 14-15, 2010.
Utilizing Science & Technology and Innovation for Development Enabling a Smart Campus using Distributed Smart-Solar Marriott Hotel- Amman, August 12th,
Concept Definition Phase for Clean Electric Power Systems Dr. Alex Pavlak; Future of Energy Initiative; 315 Dunham Ct., Severna Park, MD ; (410) ;
Wind Power Jennifer Malaga Mister Diaz Leidy Colon.
Bat fatalities at wind energy facilities in the Nordic-Baltic region Gunars Petersons Latvia University of Agriculture, LV-3004, Jelgava, Latvia Viesturs.
Introduction people business vision and goals Product design aims features and benefits competitive comparison current status What we are looking for manufacturing.
Power Generation from Renewable Energy Sources Fall 2012 Instructor: Xiaodong Chu : Office Tel.:
 Large Blade Testing Facility LARGE WIND TURBINES Rahul Yarala Executive Director, Wind Technology Testing Center May 12, 2011.
Smart Grid Workforce Education Presentation Smart Grid – A Framework for Change Brad Gaskill, CEO - Poudre Valley REA May 29, 2009.
By :Gina DiJohn. Wind turbines convert the kinetic energy in the wind into mechanical power or electricity Can power homes, businesses, schools and pump.
AES Buffalo Gap Wind Farm Buffalo Gap MW 155 – GE 1.5 sle Presented August 22, 2008 By Robert Sims AES Wind Generation.
Assessment of Large-Scale Marine Energy Deployment 1/17 Economic Assessment of Large- Scale Wave Energy Deployment.
1/38 Urban Flood & Climate Change ----information from APWMF and SIWW Jinping LIU Hydrologist Typhoon Committee Secretariat.
Energy Efficiency & Renewable Energyeere.energy.gov 1 Program Name or Ancillary Texteere.energy.gov Overcoming Wind Deployment Challenges Patrick Gilman.
Power Generation from Renewable Energy Sources Fall 2012 Instructor: Xiaodong Chu : Office Tel.:
Wind Turbine Project Plan (Dec08-04) ‏ Lindsay Short Nick Ries Luke Donney Dario Vazquez Chris Loots Advisor: Dr. Ajjarapu Client: Dr. Aliprantis.
Demand Response in Energy and Capacity Markets David Kathan FERC IRPS Conference May 12, 2006.
On the uncertainty in the AEP estimates for wind farms in cold climate Winterwind, Östersund, Øyvind Byrkjedal Kjeller Vindteknikk
Horizontal Axis Wind Turbine Systems: Optimization Using Genetic Algorithms J. Y. Grandidier, Valorem, 180 Rue du Marechal Leclerc, F B ´ Begles,
Same-Day Wind Variability Forecasts Christopher J. Anderson Wednesday, June 6 ISU Wind REU.
Public Health Lessons from HACCP-Based Inspection Models Project Presentation by Loren D. Lange August 7, 2007 United States Department of Agriculture.
1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review MHK MA\Categorizing and Evaluating the Effects of Stressors M. Grippo and I.
WIND POWER By: Saed Ghaffari HOW DO YOU CONVERT WIND INTO ELECTRICITY
Bat Occurrence and Habitat Selection on the Delmarva Peninsula Andrew McGowan.
Thermal Energy Storage Thermal energy storage (TES) systems heat or cool a storage medium and then use that hot or cold medium for heat transfer at a later.
Mammalogy LAB Althoff Acoustic Monitoring - BATS.
SEMINAR PRESENATATION ON WIDEAREA BLACKOUT (AN ELECTRICAL DISASTER) BY:Madhusmita Mohanty Electrical Engineering 7TH Semester Regd No
Acoustic Monitoring Locations Overview Montana’s bat species face a wide array of conservation issues that threaten their long-term viability. A collaborative.
Understanding the Integrated Resource Plan (IRP 2010 Rev 2)
Presentation to the Alameda County East County Board of Zoning Adjustments Regarding the Wind Repowering Project Bats and Fatality Issues Darryl and Susan.
Wind Energy in Residential Areas
Wind Composite Services Group/WindCom
WIND And Solar ENERGY CONVERSION MODEL GUIDELINES Consultation update – September 2016 Presented by Marcelle Gannon.
Citizen science reveals negative effects of roads and road traffic on amphibians across spatial scales and regions in the eastern US Tom A. Langen Dept.
Classical Design of Wind Turbine Controllers
Wind Turbine Control System
Green Technology towards Sustainable Future
A Bioinspired Modification for UAS Propeller/Rotor Noise Reduction
Economic Operation of Power Systems
Health Resources and Services Administration (HRSA)
Dynamic Controllers for Wind Turbines
vertical-axis wind turbines
NERC Critical Infrastructure Protection Advisory Group (CIP AG)
Capacity Planning For Products and Services
Capacity Planning For Products and Services
Delivering Conservation
Commercial wind energy
Micrositing for Wind Turbines
Capacity Planning For Products and Services
Presentation transcript:

Strategies to Reduce Bat Fatalities at Wind Energy Facilities Working Together to Resolve Environmental Effects of Wind Energy Cris Hein International Energy Agency’s Wind Task 34 Webinar 28–29 August 2014

Impact of Wind Energy Development on Bats in the U.S. & Canada (Arnett & Baerwald 2013) 840,486–1,690,696 bats between 2000– ,486–1,690,696 bats between 2000– ,190–395,886 bats in ,190–395,886 bats in % of fatalities are migratory tree-roosting bats 79% of fatalities are migratory tree-roosting bats – hoary (38%), eastern red (22%), silver-haired (19%) – Free-tailed species also a concern ½ of species (n = 23) in U.S. ½ of species (n = 23) in U.S.

Operational Minimization

Definitions Cut-in speed Cut-in speed – The wind speed at which the generator is connected to the grid and producing electricity – The manufacturer’s set cut-in speed for most contemporary turbines is between 3.0 and 4.0 m/s. For some turbines, their blades will spin at full or partial RPMs below cut-in speed when no electricity is being produced. Feathering Feathering – Adjusting the angle of the rotor blade parallel to the wind, or turning the whole unit out of the wind, to slow or stop blade rotation

Operational Minimization Consistent patterns of bat fatalities across studies Consistent patterns of bat fatalities across studies – Bats only active at night (1/2 the day) – Peak fatalities occur in late summer–fall (limited time of year) – Higher fatalities on low wind nights (under specific conditions) No bats killed at non-moving turbines No bats killed at non-moving turbines Altering turbine operations to reduce bat fatalities Altering turbine operations to reduce bat fatalities – Raise cut-in speed & feather blades below cut-in when bats are at greatest risk

Arnett et al. 2011, Mid-Atlantic, USA Randomly assigned 3 cut-in speeds (3.5, 5.0, & 6.5 m/s) 12 turbines rotated nightly, daily searches 44–93% fewer bats killed No difference between treatments 0.3–1% annual power

Similar treatments as Casselman – changed cut-in speeds 5.0, 6.5 m/s & control (9 turbines/treatment) Treatments rotated on a weekly basis 50% fewer bats killed at 5.0 m/s & 78% fewer bats killed at 6.5 m/s 1 st to demonstrate differences in between 5.0 & 6.5 m/s Good et al. 2011, Midwest, USA

Changed cut in speeds and feathered below 3.5, 4.5, 5.5 m/s and controls (42 turbines/treatment) Treatments rotated nightly 36% fewer bats killed at 3.5 m/s 56% fewer bats at 4.5 m/s 73% fewer bats killed at 5.5 m/s *Anonymous study in the Midwest USA found similar results with <1% annual production loss similar results with <1% annual production loss Good et al. 2012, Midwest, USA *

Anonymous 2012, Southwest, USA Control, ½ night for 4, 5, 6 m/s & 5 m/s all night (8 turbines/treatment) Nightly treatments and daily searches 20.1% fewer bats at 4 m/s ½ night 34.5% fewer bats at 5 m/s ½ night* 32.6% fewer at 5 m/s all night* 38% fewer bats at 6 m/s ½ night* *No difference between control & treatment groups Almost 75% of fatalities were Brazilian free-tailed bats

Martin et al. 2013, Northeast, USA Control & 6.0 m/s cut-in speed (+ 9.5 °C) Nightly treatments and daily searches Treatment:1.0 (95% CI: 0.6–1.8) bats/turbine Control:2.7 (95% CI: 1.9–3.9) bats/turbine 60% (95% CI: 29–79) reduction in fatalities

Operational Minimization-Next Steps At minimum, feather up to manufacturer’s cut-in speed Incorporate additional weather variables Test in different regions & species compositions Ultimately “bat friendly” turbine automation that self regulates based on several variables – Date (July 15 to September 30) – Time of day (sunset to sunrise) – Wind speed (<6.0 m/s) – Temperature (>50 o F)

Limitations of Operational Minimization Industry Perspective – Economic costs variable & relatively unknown – Impact to turbines relatively unknown Conservation Perspective – Not applicable in low wind regions – May not meet conservation goals for all species Mutually beneficial to have an alternative minimization strategy

Ultrasonic Acoustic Deterrents

Uncomfortable airspace that limits bats ability to orient & forage Predictable costs (+ maintenance) Unproven technology (only 1 study) Attenuation of high frequency sound

BWEC History & Current Progress Initiated in 2006 with lab & preliminary field tests Initiated in 2006 with lab & preliminary field tests Conducted 1 st -ever study in 2009–2010 Conducted 1 st -ever study in 2009–2010 Published report (Arnett et al. 2012) Published report (Arnett et al. 2012) Technical Workshop: Next steps (Aug 2013) Technical Workshop: Next steps (Aug 2013) Tested a slightly modified device (Oct 2013) Tested a slightly modified device (Oct 2013) R&D phase, & testing next-gen device (2014–2015) R&D phase, & testing next-gen device (2014–2015)

Device & Study Design Arnett et al (Locust Ridge, PA): Arnett et al (Locust Ridge, PA): – SensComp 600 Environmental Grade Electrostatic Transducer – 122 db 1 m; Frequency range 20–100 kHz – 8 devices/turbine, Randomly selected15 control & 10 deterrent turbines & conducted daily searches – In 2010, assessed inherent variation between control & treatment turbines. Though insignificant, applied 9% variation to results

Estimated Bat Fatalities Daily searches from 15 August ─ 10 October ─ 51% fewer fatalities at treatment turbines

Estimated Bat Fatalities Daily searches from 31 July ─ 9 October to 2.04 times more fatalities at controls compared to treatments 18 ─ 62% fewer fatalities at treatment turbines However…when factoring in a 9% inherent difference…yields ~2% more to 64% fewer bats killed at treatment turbines

Species Specific Effects YearSpecies Mean Ratio Control:Deterrent Lower 95% CI Upper 2009 Big brown bat Eastern red bat Hoary bat* Little brown bat Silver-haired bat Tri-colored bat Big brown bat Eastern red bat Hoary bat* Little brown bat Silver-haired bat* Tri-colored bat

Deterrent Research & Development Optimize the design of the device Optimize the design of the device Improve weather-proofing of devices Improve weather-proofing of devices Test placement & orientation options Test placement & orientation options Test different frequencies, patterns of transmission Test different frequencies, patterns of transmission

Comparison of Strategies Operational Minimization Operational Minimization – Multiple studies – Reduction 44–93% – Turbine impacts? – Power purchase agreement – Species-specific Myotis Myotis Brazilian free-tailed bats Brazilian free-tailed bats – Implementation needed Feathering up to manufacturer cut-in speed! Feathering up to manufacturer cut-in speed! Efforts to refine strategy Efforts to refine strategy Acoustic Deterrent Acoustic Deterrent – 1 study – Reduction 2% more–64% fewer – Maintenance costs? – Up front cost – Species-specific Myotis Myotis Hawaiian hoary bats Hawaiian hoary bats – R&D needed Transmission pattern & frequency Transmission pattern & frequency Placement & orientation Placement & orientation

Next Steps-Minimization Strategies Goal: minimize bat fatalities & maximize wind power generation Goal: minimize bat fatalities & maximize wind power generation More research is needed to refine strategies More research is needed to refine strategies – Relationships with weather conditions – Behavioral data How can we integrate these minimization strategies with existing & future turbine technologies? How can we integrate these minimization strategies with existing & future turbine technologies? – Negotiate warranties with turbine manufacturers – Adaptable SCADA systems that can incorporate multiple variables for operational minimization – Dedicated space in/on turbines for cameras, detectors & deterrents

We Thank All Our Past, Current & Future Partners! (706)