Optimized Smart Curtailment (OSC) is a tailored, site-specific curtailment algorithm that minimizes energy losses without compromising bat conservation. OSC offers a cost-effective solution by using acoustic or thermal video data and turbine SCADA data to produce thousands of algorithms which are tailored to meet your operational needs. Connect with our team to see how OSC can benefit your project!
WEST was contracted by LPC Conservation LLC to create a user-friendly preliminary project evaluation tool to support lesser prairie-chicken conservation. This tool aims to assess how infrastructure associated with proposed energy projects could affect lesser prairie-chicken habitat. The project evaluation tool is designed following methods outlined in the US Fish and Wildlife Service’s framework and two existing Habitat Conservation Plans for evaluating impacts of infrastructure on lesser prairie-chicken habitat. This tool will provide users with initial insights about how a proposed infrastructure project may influence existing conservation strategies for lesser prairie-chicken.
This intuition builder is designed to let users play with the Evidence of Absence (EoA) statistical model to build an understanding of how carcass counts, detection probabilities, and the credible bound work together to arrive at a fatality estimate. The inputs are simple and intuitive and assume no prior knowledge of the EoA statistical model.
GenEst is an R software package for estimating bird and bat fatalities at wind and solar power facilities. The graphical user interface available here is identical to the one that ships with the GenEst R package (available at CRAN), and is suitable for production use in developing bird and bat fatality estimates.
The GenEst and Evidence of Absence fatality estimators both include a detection reduction factor (k) that describes how searcher efficiency changes through successive searches. Under some circumstances, the overall detection probability depends strongly on the value of k, and it may be worth estimating k in the field, and under other circumstances, overall detection probability does not depend strongly on the value of k, and it is likely feasible to make an assumption about the value of k. This app helps users explore the dependence of overall detection probability on the parameter, k.
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