PIANO AS A PARTNER IN TWENTIETH­ CENTURY ART SONG REPERTOIRE: A RECORDING PROJECT

The piano's role in art song repertoire has evolved from a modest one during its formative years to the versatility, complexity and creativity found in the twentieth-century. The art song repertoire of the twentieth century is vast and has secured the reputation for being the most diverse, innovative, illustrative, atmospheric and colorful in all of art song literature. Within this time period, there are compositions that reach back to the romantic works of nineteenth century, others which combine old and new traditions, and finally those which adopt new means and new ends. In choosing the material for this project, I have focused on compositions with uniquely challenging and unusual piano accompaniments in order to achieve a balance between well- known and rarely performed works, as well as those pieces that combine various languages and styles. Selections range from Claude Debussy, Richard Strauss, Sergey Rachmaninoff, Ralph Vaughan Williams, Roger Quilter, Francis Poulenc, Fernando Obradors, and Joaquin Rodrigo to composers such as Samuel Barber, Marc Blitzstein, Dominick Argento, William Bolcom, and John Duke, including arrangements of traditional spirituals by Harry T. Burleigh and Florence B. Price, all of which helped to establish the American Art Song. My objective is to trace the development of the twentieth-century art song from the late Romantic Period through nationalistitrends to works which show the influences of jazz and folk elements. The two CD's for this dissertation recording project are available on compact discs which can be found in the Digital Repository at the University of Maryland (DRUM). The performers were Daniel Armstrong, baritone, Giles Herman, baritone, Thomas Glenn, tenor, Valerie Yinzant, soprano, Aaron Odom, tenor, Jennifer Royal, soprano, Kenneth Harmon, tenor, Karen Sorenson, soprano and Maxim Ivanov, baritone.

Placement of Small Vertical Axis Wind Turbine to Maximize Power Generation Influenced by Architectural and Geographic Interfaces in Urban Areas

Current methods for large-scale wind collection are unviable in urban areas. In order to investigate the feasibility of generating power from winds in these environments, we sought to optimize placements of small vertical-axis wind turbines in areas of artificially-generated winds. We explored both vehicular transportation and architecture as sources of artificial wind, using a combination of anemometer arrays, global positioning system (GPS), and weather report data. We determined that transportation-generated winds were not significant enough for turbine implementation. In addition, safety and administrative concerns restricted the implementation of said wind turbines along roadways for transportation-generated wind collection. Wind measurements from our architecture collection were applied in models that can help predict other similar areas with artificial wind, as well as the optimal placement of a wind turbine in those areas.