This paper focuses on the role of electricity markets and renewable energy regulation in wind development across the United States.  My findings, using a random effects Tobit model with a 25-state sample, from 1994-2008, indicate that the implementation of state Renewables Portfolio Standards (RPS), Green Power Purchase programs (GPP), and the Federal Production Tax Credit (PTC) positively influenced a state’s added wind capacity.  The influence of GPP programs continued to increase in the years after implementation, while for RPS it diminished.  Also, other programs such as State Loan and Grant programs directed at increasing renewable energy development have not had a significant impact on wind capacity.  The role of market factors is less significant, although there is some evidence that increases in natural gas prices had a positive influence

Andreadis, Konstantinos M.

Muhlhausen, Joseph

Schumann, Guy J.P.

Remote Sensing

Maguire, Karen

AgEcon Search - Research in Agricultural & Applied Economics

What's Powering Wind?  The Role of Prices and Policies in Determining the Amount of Wind Energy Development in the United States (1994-2008)

Unmanned Aerial Vehicle (UAV) platforms have rapidly developed as tools for remote mapping at very high spatial resolutions. They have recently gained in popularity in many application fields owing to the versatility of platforms and sensors, ease of deployment, and a steady increase in computational power. Obtaining highly detailed topography data over very small scales is one of the more typical application domains. Here, we demonstrate this application using Structure from Motion (SfM) processing over a small river floodplain in Howard County (Maryland, USA). Evaluation of the derived bare-earth terrain model with state-of-the art LiDAR shows a trivial bias of 1.6 cm and a root mean square deviation (RMSD) of 39 cm. We then applied this terrain model to extract floodplain and river cross-section geometries of a small stream, important during high-magnitude urban flash flood events, with the aim to assess its value for floodplain inundation mapping and first order characterization of in-channel hydraulics. Initial findings agree with traditional stream and floodplain classification theory and thus show very promising results for this type of UAV usage. We expect this type of application to gain more momentum in the near future with the ever-growing importance of more detailed data in order to increase resilience to flood risk, especially in urban areas.</p

Explore Bristol Research

Rapid mapping of small-scale river-floodplain environments using UAV SfM supports classical theory

Unmanned Aerial Vehicle (UAV) platforms have rapidly developed as tools for remote mapping at very high spatial resolutions. They have recently gained in popularity in many application fields owing to the versatility of platforms and sensors, ease of deployment, and a steady increase in computational power. Obtaining highly detailed topography data over very small scales is one of the more typical application domains. Here, we demonstrate this application using Structure from Motion (SfM) processing over a small river floodplain in Howard County (Maryland, USA). Evaluation of the derived bare-earth terrain model with state-of-the art LiDAR shows a trivial bias of 1.6 cm and a root mean square deviation (RMSD) of 39 cm. We then applied this terrain model to extract floodplain and river cross-section geometries of a small stream, important during high-magnitude urban flash flood events, with the aim to assess its value for floodplain inundation mapping and first order characterization of in-channel hydraulics. Initial findings agree with traditional stream and floodplain classification theory and thus show very promising results for this type of UAV usage. We expect this type of application to gain more momentum in the near future with the ever-growing importance of more detailed data in order to increase resilience to flood risk, especially in urban areas

Guy  J.-P. Schumann

Joseph Muhlhausen

Konstantinos  M. Andreadis

Directory of Open Access Journals

Rapid Mapping of Small-Scale River-Floodplain Environments Using UAV SfM Supports Classical Theory

Schumann, Guy J.-P.

ScholarWorks@UMass Amherst

English

https://research-information.bris.ac.uk/ws/files/196358660/Full_text_PDF_final_published_version_.pdf

What's Powering Wind? The Role of Prices and Policies in Determining the Amount of Wind Energy Development in the United States (1994-2008)

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AgEcon Search - Research in Agricultural & Applied Economics

Explore Bristol Research

Directory of Open Access Journals

ScholarWorks@UMass Amherst