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Weather forecast-based optimization of integrated energy systems.

Description: In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more… more
Date: March 1, 2009
Creator: Zavala, V. M.; Constantinescu, E. M.; Krause, T. & Anitescu, M.
Partner: UNT Libraries Government Documents Department
open access

Optimal explicit strong-stability-preserving general linear methods : complete results.

Description: This paper constructs strong-stability-preserving general linear time-stepping methods that are well suited for hyperbolic PDEs discretized by the method of lines. These methods generalize both Runge-Kutta (RK) and linear multistep schemes. They have high stage orders and hence are less susceptible than RK methods to order reduction from source terms or nonhomogeneous boundary conditions. A global optimization strategy is used to find the most efficient schemes that have low storage requirement… more
Date: March 3, 2009
Creator: Constantinescu, E. M.; Sandu, A.; Science, Mathematics and Computer & Univ., Virginia Polytechnic Inst. and State
Partner: UNT Libraries Government Documents Department
open access

Unit Commitment With Wind Power Generation: Integrating Wind Forecast Uncertainty and Stochastic Programming.

Description: We present a computational framework for integrating the state-of-the-art Weather Research and Forecasting (WRF) model in stochastic unit commitment/energy dispatch formulations that account for wind power uncertainty. We first enhance the WRF model with adjoint sensitivity analysis capabilities and a sampling technique implemented in a distributed-memory parallel computing architecture. We use these capabilities through an ensemble approach to model the uncertainty of the forecast errors. The … more
Date: October 9, 2009
Creator: Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; Anitescu, M. (Mathematics and Computer Science); Chicago), (Univ. of et al.
Partner: UNT Libraries Government Documents Department
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