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Quantifying the cooling energy reduction due to three passive strategies for Indian cities (Softcopy is also available)

By: Contributor(s): Material type: TextTextPublication details: 2018Description: xvi,40pDDC classification:
  • MBEP TH-0006 DES
Contents:
Table of Contents DECLARATION v APPROVAL vii Abstract ix Acknowledgements xi Table of Contents xii List of figures xiv List of tables xv 1 Introduction 1 1.1 Background 1 1.2 Need for the study 1 1.3 Purpose statement 2 1.4 Research Question 2 1.5 Research Objectives 2 1.6 Scope 3 1.7 Limitation 3 2 Literature review 4 2.1 Introduction 4 2.2 Climatic potential of Passive strategies 4 2.3 Passive cooling strategies and their efficiency 4 2.3.1 Evaporative cooling 4 2.3.2 Comfort ventilation 5 2.3.3 Night Ventilation 7 2.4 Thermal comfort models 8 2.5 Methods for cooling energy calculation 8 2.6 Methods for calculating Degree-Days 9 2.7 Methods for calculating BPT 9 2.8 Summary of literature review 10 3 Research Methodology 11 3.1 Data collection 11 3.1.1 Weather data 11 3.1.2 Building characteristics inputs 11 3.2 Calculating BPT 11 3.3 Calculating CDD 12 3.4 Calculation of Residual Cooling Degree Days 13 3.4.1 Comfort cooling 13 3.5 Calculation of annual cooling energy and EPI 14 3.5.1 Cooling energy 14 3.5.2 Non-cooling energy 14 3.6 Comparison with Energy Plus results 15 3.7 Tool Development 15 3.8 Results and Analysis 15 3.9 Building details 15 3.10 Comparison with Energy Plus 16 4 Results and Analysis 17 4.1 Comparison with Energy Plus results 17 4.2 Impact of building versions on BPT 17 4.3 Impact of building versions on CDD and annual energy 18 4.3.1 Impact of building versions on CDD and annual energy across all the climate types 18 4.4 Impact of thermal comfort model on CDD and annual energy 20 4.4.1 Impact of thermal comfort model on CDD 20 4.4.2 Impact of thermal comfort model on cooling energy 20 4.5 Impact of passive strategies on residual CDD (RCDD): 21 4.6 Impact of passive strategies on cooling energy 22 4.6.1 Impact of evaporative precooling on cooling energy 22 4.6.2 Impact of evaporative cooling on cooling energy requirement 23 4.6.3 Impact of comfort cooling on cooling energy requirement 23 4.6.4 Impact of night ventilation on cooling energy requirement 24 4.7 User interface of tool 25 4.8 Summary of results 26 4.9 Summary of tool 26 5 Conclusions 27 5.1 Future scope of study 27 6 References 28
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Thesis CEPT Library Faculty of Technology MBEP TH-0006 DES Not for loan 019862
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Table of Contents
DECLARATION v
APPROVAL vii
Abstract ix
Acknowledgements xi
Table of Contents xii
List of figures xiv
List of tables xv
1 Introduction 1
1.1 Background 1
1.2 Need for the study 1
1.3 Purpose statement 2
1.4 Research Question 2
1.5 Research Objectives 2
1.6 Scope 3
1.7 Limitation 3
2 Literature review 4
2.1 Introduction 4
2.2 Climatic potential of Passive strategies 4
2.3 Passive cooling strategies and their efficiency 4
2.3.1 Evaporative cooling 4
2.3.2 Comfort ventilation 5
2.3.3 Night Ventilation 7
2.4 Thermal comfort models 8
2.5 Methods for cooling energy calculation 8
2.6 Methods for calculating Degree-Days 9
2.7 Methods for calculating BPT 9
2.8 Summary of literature review 10
3 Research Methodology 11
3.1 Data collection 11
3.1.1 Weather data 11
3.1.2 Building characteristics inputs 11
3.2 Calculating BPT 11
3.3 Calculating CDD 12
3.4 Calculation of Residual Cooling Degree Days 13
3.4.1 Comfort cooling 13
3.5 Calculation of annual cooling energy and EPI 14
3.5.1 Cooling energy 14
3.5.2 Non-cooling energy 14
3.6 Comparison with Energy Plus results 15
3.7 Tool Development 15
3.8 Results and Analysis 15
3.9 Building details 15
3.10 Comparison with Energy Plus 16
4 Results and Analysis 17
4.1 Comparison with Energy Plus results 17
4.2 Impact of building versions on BPT 17
4.3 Impact of building versions on CDD and annual energy 18
4.3.1 Impact of building versions on CDD and annual energy across all the climate types 18
4.4 Impact of thermal comfort model on CDD and annual energy 20
4.4.1 Impact of thermal comfort model on CDD 20
4.4.2 Impact of thermal comfort model on cooling energy 20
4.5 Impact of passive strategies on residual CDD (RCDD): 21
4.6 Impact of passive strategies on cooling energy 22
4.6.1 Impact of evaporative precooling on cooling energy 22
4.6.2 Impact of evaporative cooling on cooling energy requirement 23
4.6.3 Impact of comfort cooling on cooling energy requirement 23
4.6.4 Impact of night ventilation on cooling energy requirement 24
4.7 User interface of tool 25
4.8 Summary of results 26
4.9 Summary of tool 26
5 Conclusions 27
5.1 Future scope of study 27
6 References 28

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