Gemstone Team Research

Permanent URI for this collectionhttp://hdl.handle.net/1903/9070

The Gemstone Program at the University of Maryland is a unique multidisciplinary four-year research program for selected undergraduate honors students of all majors. Under guidance of faculty mentors and Gemstone staff, teams of students design, direct and conduct significant research, often but not exclusively exploring the interdependence of science and technology with society. Gemstone students are members of a living-learning community comprised of fellow students, faculty and staff who work together to enrich the undergraduate experience. This community challenges and supports the students in the development of their research, teamwork, communication and leadership skills. In the fourth year, each team of students presents its research in the form of a thesis to experts, and the students complete the program with a citation and a tangible sense of accomplishment.

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    Identification and assessment of potential wind energy project sites in the State of Maryland
    (2009-06) Conroy, Erin M.; Green, David A.; Hannam, Phillip M.; Kosmer, Matthew R.; Meiseles, Alexander S.; Roach, Emma K.; Singhania, Sumegha K.; Zhang, Amy D.; Kim, Jungho
    The international scientific community has reached consensus that greenhouse gas emissions must be reduced to minimize global climate change impacts on the environment, economy, and public health. In 2007, the University of Maryland's Climate Action Plan Workgroup was tasked with charting the University’s path toward carbon neutrality. To aid in this effort, this report identifies the best sites in Western Maryland for wind development. Geographic information systems data on wind speed, land protections, and transmission infrastructure were used to assign scores for physical, social and environmental characteristics of prospective sites. Attribute scores were entered into a systematic weighting system to determine overall site suitability. A financial analysis was conducted for the highest ranked sites using RETScreen software, which generated projections for payback periods and return on investment. The list of suitable sites produced through this research provides the University with a starting point for exploration of off-site wind power production.