Access to reliable electric power is considered by the developed world to be a minimum requirement for a reasonable standard of living. In addition to meeting a fluctuating demand, the modern electricity industry must now integrate intermittent generation sources like wind into the grid. Reserve margin allocation (RMA) for an acceptable loss of load expectation (LOLE) allows traditional generators to maintain grid reliability in the presence of small penetrations of wind energy. However, traditional RMA over-allocates the reserve capacity in the presence of short-term intermittency mitigation techniques like energy storage and demand response. For economic operation of the modern, grid better characterization techniques are needed for reserve margin reduction behavior in the presence of wind energy. This thesis addresses this challenge with a quantitative RMA analysis using real-world and simulated wind data for three different grid scenarios, with and without intermittency mitigation. The research is novel in its first-principles approach and its investigation into the practical validity of the analogy between demand response and energy response. vi
In this paper, we describe our ongoing work on designing an underwater sensor network for monitoring the ecosystem of the Mississippi river using freshwater mussels as biological sensors.One of the most extensive manifestations of anthropogenic mismanagement of nitrogen is eutrophication of the Gulf of Mexico. Our vision is to create a biosensor network of native freshwater mussels in the Mississippi river to monitor and model key components of the nitrogen cycle.
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