Modelling Methods for Energy in Buildings

ISBN-13: 9780632059362 / Angielski / Twarda / 2004 / 306 str.

Chris Underwood; Francis Yik; C. P. Underwood

Opis

Climate change mitigation and sustainable practices are now at the top of political and technical agendas. Environmental system modelling provides a way of appraising options and this book will make a significant contribution to the uptake of such systems. It provides knowledge of the principles involved in modelling systems, builds confidence amongst designers and offers a broad perspective of the potential of these new technologies. The aim of the book is to provide an understanding of the concepts and principles behind predictive modelling methods; review progress in the development of the modelling software available; and explore modelling in building design through international case studies based on real design problems.

Spis treści

Preface.

Chapter 1 Heat Transfer in Building Elements.

1.1 Heat and mass transfer processes in buildings.

1.2 Heat transfer through external walls and roofs.

1.3 Analytical methods for solving the one–dimensional transient heat conduction equation.

1.4 Lumped capacitance methods.

1.5 Heat transfer through glazing.

Chapter 2 Modelling Heat Transfer in Building Envelopes.

2.1 Finite Difference Method A Numerical Method for Solving the Heat Conduction Equation.

2.2 Heat Transfer in Building Spaces.

2.3 Synthesis of Heat Transfer Methods.

2.4 Latent Loads and Room Moisture Content Balance.

Chapter 3 Mass Transfer, Air Movement and Ventilation.

Chapter 4 Steady–State Plant Modelling.

4.1 Model Formulations for Plant.

4.2 Mathematical Models of Air–conditioning Equipment using Equation–fitting.

4.3 A Detailed Steady–state Cooling and Dehumidifying Coil Model.

4.4 Modelling Distribution Networks.

4.5 Modelling Air–conditioning Systems.

Chapter 5 Modelling Control Systems.

5.1 Distributed System Modelling.

5.2 Modelling Control Elements.

5.3 Modelling Control Algorithms.

5.4 Solution Schemes.

Chapter 6 Modeling in Practice I.

6.1 Developments in General.

6.2 Internal Ventilation Problems6.3 Wind Flow Around Buildings.

6.4 Applications to Plant.

6.5 Applications to Control and Fault Detection.

Chapter 7 Modeling in Practice II.

7.1 Interrelationships Between Methodologies.

7.2 Tools and Their Integration.

7.3 Validation and Verification.

References.

Appendix A.

Appendix B.

Index

O autorze

Chris Underwood is Reader in Building Services Engineering at the University of Northumbria and Francis Yik is Professor of Building Engineering at the Hong Kong Polytechnic University. Both have extensive experience of the development and application of modeling to energy and fluid flow problems in buildings and have published widely on subjects ranging from smart control of building systems to wind flow around high–rise buildings.

Blurb

Buildings consume between 40% and 60% of all energy use in most developed economies and an increasing proportion in developing and emerging ones. Climate change mitigation and sustainable practices are now at the top of political and technical agendas worldwide. There is an urgent need for improved knowledge of the principles involved in the modeling of energy in buildings to both build confidence amongst designers and to offer a broad perspective of the potential of new technologies. Modelling Methods for Energy in Buildings reviews the various state–of–the–art methods for modeling energy exchange and fluid flow problems in buildings whether they be the high tech commercial buildings in the centre of our cities or the simpler and often naturally–ventilated buildings and residential habitats that surround them. By providing comprehensive guidance for those engaged in the physical science of energy in buildings building physicists, architectural scientists, building and building services engineers, HVAC engineers and building technologists the book will: Offer the specialist knowledge, understanding and confidence needed for the applications of this developing field of modeling Bridge the theory/practice gap and enable practitioners to understand what goes on behind commercial program codes Provide procedures and recipes for researchers, students and practitioners engaged in modeling.