Campus Units

Electrical and Computer Engineering, Mechanical Engineering, Plant Sciences Institute

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

2018

Journal or Book Title

arXiv

Abstract

Dynamical system-based linear transfer Perron- Frobenius (P-F) operator framework is developed to address analysis and design problems in the building system. In particular, the problems of fast contaminant propagation and optimal placement of sensors in uncertain operating conditions of indoor building environment are addressed. The linear nature of transfer P-F operator is exploited to develop a computationally efficient numerical scheme based on the finite dimensional approximation of P-F operator for fast propagation of contaminants. The proposed scheme is an order of magnitude faster than existing methods that rely on simulation of an advection-diffusion partial differential equation for contaminant transport. Furthermore, the system-theoretic notion of observability gramian is generalized to nonlinear flow fields using the transfer P-F operator. This developed notion of observability gramian for nonlinear flow field combined with the finite dimensional approximation of P-F operator is used to provide a systematic procedure for optimal placement of sensors under uncertain operating conditions. Simulation results are presented to demonstrate the applicability of the developed framework on the IEA-annex 2D benchmark problem.

Comments

This is a preprint of the article Sharma, Himanshu, Anthony D. Fontanini, Umesh Vaidya, and Baskar Ganapathysubramanian. "Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions." arXiv preprint arXiv:1807.04781 (2018). Posted with permission.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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