Computational optimisation of daylighting : a performance driven design framework for buildings form and openings (Softcopy is also available )
Shrikanth, KNR (PD003516)
Computational optimisation of daylighting : a performance driven design framework for buildings form and openings (Softcopy is also available ) - 2018 - 69p.
CONTENTS
1. Generative Design for building performance optimisation
a. Introduction 12
b. Daylighting 15 c. Problem Synthesis 15
d. Hypothesis 16
e. Research Questions 17
f. Research Objectives 17
2 Litreture
a. Parametric performance optimisation 20
b. Building Form and Energy Optimisation 21
c. Multi-Objective Optimisation 22
d. Daylight Optimisation 24
e. Daylight Simulation 31
f. Daylight Metrics 32
- Daylight Autonomy(DA)
- Spatial Daylight Autonomy(sDA)
- Annual solar Expossure (ASE)
- Useful Daylight Illuminance (UDI)
3. Methodology
a. Workflow 38
b. Base Cases 38
c. Parametric Workflow 39
- Parametric and Analytical Tools 39
d. Simulation and Optimisation. 42
4 Analysis
a. Demonstration Case
- Case 1 46
Geometric Definition : 47
Simulation and Optimization 49
Comparitive Analysis 50
- Case 2
Geometric Definition 55
Simulation and Optimization 57
Comparitive Analysis 59
5. Conclusion
a. Areas of Development 64
b. Possible applications of research 65
REFERENCE 66
MIAD TH-0165 / SHR
Computational optimisation of daylighting : a performance driven design framework for buildings form and openings (Softcopy is also available ) - 2018 - 69p.
CONTENTS
1. Generative Design for building performance optimisation
a. Introduction 12
b. Daylighting 15 c. Problem Synthesis 15
d. Hypothesis 16
e. Research Questions 17
f. Research Objectives 17
2 Litreture
a. Parametric performance optimisation 20
b. Building Form and Energy Optimisation 21
c. Multi-Objective Optimisation 22
d. Daylight Optimisation 24
e. Daylight Simulation 31
f. Daylight Metrics 32
- Daylight Autonomy(DA)
- Spatial Daylight Autonomy(sDA)
- Annual solar Expossure (ASE)
- Useful Daylight Illuminance (UDI)
3. Methodology
a. Workflow 38
b. Base Cases 38
c. Parametric Workflow 39
- Parametric and Analytical Tools 39
d. Simulation and Optimisation. 42
4 Analysis
a. Demonstration Case
- Case 1 46
Geometric Definition : 47
Simulation and Optimization 49
Comparitive Analysis 50
- Case 2
Geometric Definition 55
Simulation and Optimization 57
Comparitive Analysis 59
5. Conclusion
a. Areas of Development 64
b. Possible applications of research 65
REFERENCE 66
MIAD TH-0165 / SHR