2026-09-19T06:43:43Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/16204 2023-07-10 col_2142_14787 col_2142_5131 col_2142_45087 com_2142_9630 com_2142_234 com_2142_5130 com_2142_45086

Alleyne, Andrew G. Chandan, Vikas 2010-05-19T18:40:33Z 2010-05-19T18:40:33Z 2010-05-19T18:40:33Z Energy requirements for heating and cooling of residential, commercial and industrial spaces constitute a major fraction of end use energy consumed. Centralized systems such as hydronic networks are becoming increasingly popular to meet those requirements. Energy efficient operation of such systems requires intelligent energy management strategies, which necessitates an understanding of the complex dynamical interactions among its components from a mathematical and physical perspective. In this work, concepts from linear graph theory are applied to model complex hydronic networks. Further, time-scale decomposition techniques have been employed to obtain a more succinct representation of the overall system dynamics. The proposed model is then used to design predictive control strategies which are compared with traditional feedback control schemes using a simulated chilled water system as a case study. The advantages and limitations associated with these methodologies has been demonstrated. The cornerstone of this work is the development of a novel, distributed predictive scheme which provides the best compromise in the multidimensional evaluation framework of 'regulation', `optimality', `reliability' and `computational complexity'. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-04-28T18:19:14Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 chandan_vikas.pdf: 2771097 bytes, checksum: f49162bc9d28411b5d1f605ae76eaccd (MD5) Made available in DSpace on 2010-05-19T18:40:33Z (GMT). No. of bitstreams: 2 chandan_vikas.pdf: 2771097 bytes, checksum: f49162bc9d28411b5d1f605ae76eaccd (MD5) license.txt: 4063 bytes, checksum: c373b2de40b889c0913e04cc936f0e79 (MD5) http://hdl.handle.net/2142/16204 en Copyright 2010 Vikas Chandan Buildings Hydronic HVAC systems Graph-Theory Distributed Model Predictive Control Modeling and control of hydronic building HVAC systems 2010-5 Mechanical Sci & Engineering 1917 Mechanical Engineering 0133 University of Illinois at Urbana-Champaign Thesis M.S. PHD:Mechanical Enginerng -UIUC 10KS0133PHD