1,721,167 research outputs found
Distributed/Hierarchical Control Architecture Design * *Financial support from NSF-CBET is gratefully acknowledged.
Efficient Solution of Enterprise-Wide Optimization Problems Using Nested Stochastic Blockmodeling
Enterprise-wide
optimization seeks to improve the economic performance
of process systems by considering simultaneously decisions at different
time scales, resulting in large-scale optimization problems. In this
paper, we propose the application of nested stochastic blockmodeling
(nSBM) for the decomposition of such optimization problems. This approach
allows the identification of the block structure of the problem at
different hierarchical levels and the hierarchy itself. We consider
problems of integration of scheduling and dynamic optimization and
integration of planning, scheduling, and dynamic optimization for
illustration. Application of nSBM reveals the multiscale nature of
these optimization problems, and the exploitation of the structure
of the problem at different hierarchical levels enables efficient
solutions
Optimal scheduling for wind-powered ammonia generation: Effects of key design parameters
Energy management and load shaping for commercial microgrids coupled with flexible building environment control
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