Contents	6
	Figures	8
	Tables	12
	Contributors	13
	Acknowledgement	14
	Prologue	16
	1 Trends in building simulation	19
	1.1 Introduction	19
	1.2 The maturation of the building simulation toolset	20
	1.3 The place of simulation in the changing landscape of collaborative design teams	26
	1.4 New manifestations of simulation	31
	1.5 Final remarks	36
	References	37
	2 Uncertainty in building simulation	40
	2.1 Introduction	40
	2.2 Outline of the case	41
	2.3 Uncertainty analysis	44
	2.4 Refinement of the uncertainty analysis	57
	2.5 Decision-making under uncertainty	65
	2.6 Summary and outlook	70
	Notes	71
	References	71
	3 Simulation and uncertainty	75
	3.1 Introduction	75
	3.2 Benefits of building simulation	76
	3.3 The Monte Carlo method	77
	3.4 Model for temperatures	79
	3.5 Model for solar radiation	87
	3.6 Wind speed simulation	92
	3.7 Barometric pressure simulation	92
	3.8 Correlations between the weather variables	93
	3.9 Some results of Monte Carlo simulations	93
	3.10 Validating the simulation model	95
	3.11 Finding input data for driving a statistical weather model	99
	3.12 Summary and conclusions	99
	References	100
	4 Integrated building airflow simulation	102
	4.1 Introduction	102
	4.2 Zonal modeling of building airflow	107
	4.3 Zonal modeling of coupled heat and airflow	114
	4.4 Quality assurance	122
	4.5 Performance assessment methodology	124
	4.6 Conclusion	129
	Notes	130
	References	131
	5 The use of Computational Fluid Dynamics tools for indoor environmental design	134
	5.1 Introduction	134
	5.2 Computational fluid dynamics approaches	135
	5.3 Simulation and analysis	139
	5.4 Conclusions	152
	5.5 Acknowledgment	152
	Nomenclature	152
	References	153
	6 New perspectives on Computational Fluid Dynamics simulation	156
	6.1 Introduction	156
	6.2 Determining the appropriate problem (what to model)	158
	6.3 Determining the appropriate modeling criteria (how to model)	161
	6.4 Determining the appropriate validation strategy	166
	6.5 Potential applications	168
	References	172
	7 Self-organizing models for sentient buildings	174
	7.1 Introduction	174
	7.2 Sentient buildings	175
	7.3 Self-organizing models	177
	7.4 A simulation-based control strategy	186
	7.5 Conclusion	202
	References	202
	8 Developments in interoperability	204
	8.1 Introduction	204
	8.2 Technologies for interoperability	206
	8.3 Design analysis integration	216
	8.4 Conclusions and remarks	227
	Acknowledgment	228
	9 Immersive building simulation	232
	9.1 Introduction	232
	9.2 Immersive building simulation	235
	9.3 Example cases	249
	References	259
	Epilogue	262
	Index	264