Buildings sector on worldwide scale

For more info about our services contact : help@bestpfe.com

Table of contents

General Introduction
Chapter I Concept of building performance evaluation and model study by reduced sequences
I.1. Introduction
I.2. Buildings sector on worldwide scale
I.3. Buildings sector on French scale
I.4. Concept of building performance simulation (BPS) and optimization
I.5. Model study by short sequence
I.5.1. Heuristic Approaches
I.5.2. Iterative Approaches
I.5.3. Grouping Algorithms
I.6. Extrapolation of results
I.7. Analysis and discussion
I.8. Conclusion
Chapter II Description of the Typical Short Sequence algorithm (TypSS)
II.1. Introduction
II.1.1. Objectives
II.1.2. Case study
II.2. TypSS: The process of the algorithm
II.2.1. Global Methodology
II.2.2. Parameters
II.2.3. Initialization
II.2.4. Period setting phase
II.2.5. Typical days’ enhancement phase
II.3. Conclusion
Chapter III Application of TypSS and sensitivity analysis on its input parameters
III.1. Introduction
III.2. Simulation results of the case study
III.2.1. Single individual I1
III.2.1.1. Algorithm output
III.2.1.2. Temporal profiles of the target criteria
III.2.1.3. Annual values and cumulative profiles of the target criteria
III.2.1.4. Comparison with other approaches
III.2.2. Multiple tested individuals
III.2.2.1. Simulation results
III.3. Sensitivity of the TYPSS algorithm to its main parameters
III.3.1. Length of the initial sequence
III.3.2. Length of the generated sequence
III.3.3. Number of tested individuals
III.3.4. Number and type of the target criteria
III.4. Conclusion
Chapter IV Multi-objective optimization using reduced sequences: Introducing OptiTypSS
IV.1. Introduction
IV.1.1. Objective
IV.1.2. Multi-objective optimization method
IV.1.3. Parametrizing the multi-objective optimization method
IV.2. Sequential multi-objective optimization methodology
IV.3. Adaptive multi-objective optimization methodology (OptiTypSS)
IV.4. Comparison of OptiTypSS with an adaptive metamodel based approach
IV.5. Conclusion
General conclusions and perspectives
References
APPENDICES
Appendix A. Typical Short Sequence (TypSS) algorithm
Appendix B. Fifty samples generated by LHS
Appendix C. Temporal profiles obtained by reduced sequences of different lengths
Appendix D. Periodic values obtained by reduced sequences of different lengths
Appendix E. Cumulative profiles obtained by reduced sequences of different lengths
Appendix F. CVRMSE influenced by the number of tested individuals — 154
Appendix G. Two target criteria, three individuals Pareto front
Appendix H. Considering only three Pareto front individuals
Appendix I. Considering 10 individuals in OptiTy