Journal article
Evaluating the performance of an Inexact Newton method with a preconditioner for dynamic building system simulation
Journal of building performance simulation, v 15(1), pp 112-127
02 Jan 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Efficiently, robustly, and accurately solving systems of nonlinear differential algebraic equations for dynamic building system simulation is becoming more important due to the increasing need to simulate large-scale problems. The focus of this paper is an investigation of methods for solving the nonlinear algebraic equations encountered in dynamic building system simulations. Dynamic building system simulations employ a myriad of solution techniques, many of which use derivative information. As the problem size grows, so do the memory requirements, leading to challenges in solving large-scale problems. Newton-Krylov methods are a promising candidate for large-scale simulation. The performance of these methods is often improved, sometimes drastically, when employed with a preconditioning technique. Here, a cost-effective preconditioning technique is applied to a Newton-Krylov method and tested on a series of problems. To illustrate the benefits of the approach, comparison is made to the frequently employed Powell's Hybrid Method.
Metrics
Details
- Title
- Evaluating the performance of an Inexact Newton method with a preconditioner for dynamic building system simulation
- Creators
- Zhelun Chen - Drexel UniversityJin Wen - Drexel UniversityAnthony J. Kearsley - National Institute of Standards and TechnologyAmanda Pertzborn - National Institute of Standards and Technology
- Publication Details
- Journal of building performance simulation, v 15(1), pp 112-127
- Publisher
- Taylor & Francis
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000734305500001
- Scopus ID
- 2-s2.0-85121730156
- Other Identifier
- 991019167410504721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology