Numerical Methods for Diffusion Phenomena in Building Physics

A Practical Introduction

; Marx Chhay ; Julien Berger ; Denys Dutykh

This book is the second edition of Numerical methods for diffusion phenomena in building physics: a practical introduction originally published by PUCPRESS (2016). It intends to stimulate research in simulation of diffusion problems in building physics, by providing an overview of mathematical models and numerical techniques such as the finite difference and finite-element methods traditionally used in building simulation tools. Les mer
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This book is the second edition of Numerical methods for diffusion phenomena in building physics: a practical introduction originally published by PUCPRESS (2016). It intends to stimulate research in simulation of diffusion problems in building physics, by providing an overview of mathematical models and numerical techniques such as the finite difference and finite-element methods traditionally used in building simulation tools. Nonconventional methods such as reduced order models, boundary integral approaches and spectral methods are presented, which might be considered in the next generation of building-energy-simulation tools. In this reviewed edition, an innovative way to simulate energy and hydrothermal performance are presented, bringing some light on innovative approaches in the field.

Fakta

Innholdsfortegnelse

A brief history of diffusion in physics



Part I Basics of numerical methods for diffusion phenomena in building physics







2. Heat and Mass Diffusion in Porous Building Elements



2.1 A brief historical



2.2 Heat and mass diffusion models



2.3 Boundary conditions



2.4 Discretization



2.5 Stability conditions



2.6 Linearization of boundary conditions or source terms



2.7 Numerical algorithms



2.8 Multitridiagonal-matrix algorithm



2.9 Mathematical model for a room air domain



2.10 Hygrothermal models used in some available simulation tools



2.11 Final remarks







3. Finite-Difference Method



3.1 Numerical methods for time evolution: ODE



3.1.1 An introductory example



3.1.2 Generalization



3.1.3 Systems of ODEs



3.1.4 Exercises



3.2 Parabolic PDE



3.2.1 The heat equation in 1D



3.2.2 Nonlinear case



3.2.3 Applications in engineering



3.2.4 Heat equation in two and three space dimensions



3.2.5 Exercises







4. Basics in Practical Finite-Element Method



4.1 Heat Equation



4.1.1 Weak formulation and test functions



4.1.2 Finite element representation



4.1.3 Finite element approximation



4.2 Finite element approach revisited



4.2.1 Reference element



4.2.2 Connectivity table



4.2.3 Stiffness matrix construction



4.2.4 Final remarks



Part II Advanced numerical methods







5 Explicit schemes with improved CFL condition



5.0.1 Some healthy criticism



5.1 Classical numerical schemes



5.1.1 The Explicit scheme



5.1.2 The Implicit scheme



5.1.3 The Leap-frog scheme



5.1.4 The Crank-Nicholson scheme



5.1.5 Information propagation speed



5.2 Improved explicit schemes



5.2.1 Dufort-Frankel method



5.2.2 Saulyev method



5.2.3 Hyperbolization method



5.3 Discussion







6 Reduced Order Methods



6.1 Introduction



6.1.1 Physical problem and Large Original Model



6.1.2 Model reduction methods for Building physics application



6.2 Balanced truncation



6.2.1 Formulation of the ROM



6.2.2 Marshall truncation Method



6.2.3 Building the ROM



6.2.4 Synthesis of the algorithm



6.2.5 Application and exercise



6.2.6 Remarks on the use of balanced truncation



6.3 Modal Identification



6.3.1 Formulation of the ROM



6.3.2 Identification process



6.3.3 Synthesis of the algorithm



6.3.4 Application and exercise



6.3.5 Some remarks on the use of the MIM



6.4 Proper Orthogonal Decomposition Basics



6.4.2 Capturing the main information



6.4.3 Building the POD model



6.4.4 Synthesis of the algorithm



6.4.5 Application and Exercise



6.4.6 Remarks on the use of the POD



6.5 Proper Generalized Decomposition



6.5.1 Basics



6.5.2 Iterative solution



6.5.3 Computing the modes



6.5.4 Convergence of global enrichment



6.5.5 Synthesis of the algorithm



6.5.6 Application and Exercise



6.5.7 Remarks on the use of the PGD



6.6 Final remarks







7. Boundary Integral Approaches



7.1 Basic BIEM



7.1.1 Domain and boundary integral expressions



7.1.2 Green function and boundary integral formulation



7.1.3 Numerical formulation