000			03707nam a2200181 4500
999			_c56566 _d56566
082			_aMBEP TH-0026 _bJAI
100			_aJain, Yashima (PT501417) _969975
245			_aDevelopment of simulation data visulization framework for high-performance buildings (Softcopy is also available)
260			_c2019
300			_axii,ii,62p.
505			_aContents Declaration i Approval . iii Abstract v Acknowledgements . vii List of figures xi List of tables xi 1. Introduction 1 1.1. Background . 1 1.2. Purpose statement . 2 1.3. Research question . 2 1.4. Research objectives. 2 1.5. Significance of the study . 2 2. Literature Review 3 2.1. Data visualization 3 2.1.1. Components of data visualization 4 2.1.2. Principles of a good visualization design 5 2.2. Communication of complex energy simulation data 5 2.2.1. Energy simulation related data and tools 5 2.2.2. Spatial and temporal representations 6 2.3. Integrating energy analysis with design stages 7 2.4. Summary 8 3. Research Methodology 9 3.1 Interviews 9 3.1.1. Preparation of an outline for the interview 9 3.1.2. Conducting the interviews 9 3.1.3. Qualitative analysis of literature review and interviews. 10 3.2. Classification of existing representations . 10 3.2.1. Collection and classification of representations . 10 3.2.2. Identification of the representation gap 12 3.3. Demonstration of representations . 12 3.3.1. Building selection criteria . 12 3.3.2. Identification of a building . 12 3.3.3. Building the energy model . 12 3.3.4. Development of representations to address the gap 12 4. Analysis and Results 13 4.1. Interviews . 13 4.2. Classification of design decisions and corresponding metrics 15 4.2.1. Pre-design Stage . 15 4.2.2. Concept Design Stage. 15 4.2.3. Preliminary Design Stage . 16 4.2.4. Analysis of the relationship between design decisions and output metrics 17 4.3. Classification of representations . 18 4.3.1. Pre-design Stage . 18 4.3.2. Concept Design Stage. 19 4.3.3. Preliminary Design Stage . 20 4.4. Proposed representations 21 4.4.1. Solar Insolation . 22 4.4.2. Heat Flux 22 4.4.3. Indoor Temperature 23 4.4.4. Envelope Load in the space 25 4.4.5. Cooling Load 26 4.4.6. Comfort hours . 27 4.5. Discussion . 28 5. Conclusions . 28 5.1. Recommendations for future study . 29 References 30 Appendix 33 1. Appendix A: Components of data visualization . 33 2. Appendix B: Principles of data visualization 35 3. Appendix C: List of architects and energy consultants interviewed . 37 4. Appendix D: Questions for the interview . 38 5. Appendix E: Representations in the pre-design stage . 39 i. Climate Analysis 39 ii. Site Analysis 40 6. Appendix F: Representations in the concept design stage 40 i. Orientation . 41 ii. Orientation + Aspect Ratio 41 iii. Massing + Space Planning . 41 iv. Window Design . 42 v. Shading Device 44 vi. Envelope Assembly . 45 vii. Envelope assembly + Shading Device . 45 7. Appendix G: Representations in the preliminary design stage . 46 i. Window Design . 46 ii. Envelope Assembly + Window Design . 47 iii. Envelope Assembly . 48 iv. HVAC System . 48 v. Shading Device 50 8. Appendix H: Scripts prepared in Grasshopper using Ladybug and Honeybee . 51 i. Solar Shade Benefit 51 ii. Surface Energy Flux 52 iii. Operative Temperature 53 iv. Envelope Load with Daylight Autonomy and Annual Sun Exposure . 54 v. Energy shade benefit 55 vi. Comfortable hours . 56
700			_aSarraf, Saket (Guide) _969976
890			_aIndia
891			_aFT-PG
891			_a2017 Batch
891			_aMasters of Technology in Building Energy Performance
942			_2ddc