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Is Solar Overproduction Costing You?

This is the slide deck from a webinar (broadcasted: November 18, 2014) about the impacts of solar resource data on financing and revenues for PV plants. View the recording in the Webinars section of our Knowledge Center. View Presentation

Offshore Wind: Mitigation of Natural Gas Based Market Price Spikes During Extreme Cold Weather Conditions

AWEA Offshore WINDPOWER Conference, Oct. 2014 (This poster was the winner of AWEA's Technology award.)

During extreme weather events, the demand for power, such as natural gas, increases. With increase demand for natural gas, limitations in the infrastructure have been recognized. This poster discusses how offshore wind has a unique coincidence with electricity demand profiles and produces maximum capacity factors during the winter. View presentation

Map-based Energy Estimates: How Accurately Can Wind Plant Production Be Estimated without On-site Wind Measurements?

AWEA WINDPOWER Conference, May 2010

This study evaluates method against observations from a broad portfolio of operating wind plants. The results are analyzed to assess the method’s accuracy and the effects of variables such as environmental losses, terrain, and region weather patterns. View Presentation

From Minimizing Risk to Maximizing Performance: Flat Panel PV Resource Assessment Best Practices (Forum)

Presented at ASES 2012, May 2012

This presentation discusses the importance of solar resource assessment, best practices for on-site monitoring, and bankable analysis. View Presentation

Solar Input Data for PV Energy Modeling.

Webinar hosted at NREL’s System Advisor Model Virtual Conference, June 2012

This discussion included how selecting the most appropriate solar resource data is critical for improving the confidence of energy simulations in NREL”s System Advisor Model (SAM). We evaluated the use of default weather files in SAM and quantified the uncertainty associated with these input data sets. View Presentation

Are Advanced Wind Flow Models More Accurate

Presented at Brazil Windpower Conference, August 2012

This presentation describes the results of a comparison of four wind flow models, including WASP, a CFD model, and two advanced models, and asks the question: Do more sophisticated models make a difference? The answer is yes. View Presentation

Mountain Wave Study at a Wind Farm Site in the Eastern Rocky Mountains

Presented at AWEA Wind Resource and Project Energy Assessment Workshop, September 2012

Atmospheric conditions at a complex site in the Rocky Mountains were studied to better understand the wind flow patterns, more specifically, why the anemometers were measuring higher wind speeds on the lee side of the mountain rather than at the top. Numerical simulations with the Advanced Regional Prediction System (ARPS) showed that it was due to mountain waves. View Presentation

Actual vs. Predicted Plant Production: The Role of Turbine Performance

Presented at AWEA Wind Resource and Project Energy Assessment Workshop, September 2012

This presentation, presented by Dr. Michael Brower at the AWEA Wind Resource and Project Energy Assessment Workshop in 2012, discusses the role of individual wind turbine performance in the gap identified between actual and predicted plant energy production. Results show that turbine underperformance is a significant contributor to the general problem of plant underperformance. In this research, turbines typically fall 1%-4% short of their advertised power curves even under test conditions that conform to IEC standards and the manufacturer’s specifications. View Presentation

Wind Resource Assessment: Practical Guidance for Developing a Successful Wind Project

Presented at Renewable Energy World Conference, December 2012

This is a high-level overview of best practices in wind resource assessment, from early site screening to energy production estimates. It follows the outline of the book authored by AWS Truepower, Wind Resources Assessment: A Practical Guide to Developing a Wind Project View Presentation

WindNET: An Advanced Wind Sensor Network to Improve Short Range Wind Forecasts for Electric Utility Dispatch and Operation

Presented at AMS 2013 Conference, Jan 2011 View Presentation

Revenue-based Prospecting: Finding the Best Wind Projects for the Competitive Energy Market

Presented at AWEA WINDPOWER 2013 Conference, May 2013 View Presentation

Grid Congestion and LBMP Pricing: Barrier or Opportunity?

Presented at AWEA WINDPOWER 2011 Conference, 2011

Grid congestion and pricing can either be seen as barriers or opportunities to windintegration. By utilizing current system ratings and historical hourly LBMP pricing, developers can find the best market revenue intensive point of interconnection for their proposed wind projects. Hourly production scenarios for hypothetical 300MW offshore wind facilities in the New York Bight area were evaluated, along with NYISO historical hourly LBMP pricing. A Base Case thermal screening was completed on each potential point of interconnection to verify the grids ability to accommodate the 300MW project. View Presentation

Understanding Offshore Wind’s Enhanced Peak Load Coincidence for East Coast Transmission Systems

Presented at AWEA WINDPOWER 2013 Conference, May 2013

Offshore wind is becoming a significant developmental consideration along the eastern seaboard of the United States, especially in regions with limited onshore resources. To understand the benefits of integrating offshore wind projects into coastal electric systems, it is essential to understand the coincidence of wind and load, onshore and offshore, as well as the meteorological regimes that drive the enhanced coincidence of offshore projects. View Presentation

Quantification and Application of Wind Flow Modeling Uncertainty

Presented at AWEA WINDPOWER Conference, May 2010

The uncertainty of wind resource and energy production estimates is a critical element in wind project financing. Wind flow modeling uncertainty is an especially important contributor to the total uncertainty, but rarely rigorously quantified. The variation of wind flow modeling uncertainty across the site is also often overlooked and, therefore, not accounted for in the process of designing a wind project. The result is that the energy production may not represent a true P50, leading to unnecessary risk.

This research presents a general framework for understanding wind flow modeling uncertainty and illustrates some application in the openWind® wind farm design software. View Presentation