A Study on Cooling and Heating Loads in Three Different Regions
DC Field | Value | Language |
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dc.contributor.advisor | 정형호 | - |
dc.contributor.author | YOUSEF A Y H ALABAIADLY | - |
dc.date.accessioned | 2020-07-20T11:44:07Z | - |
dc.date.available | 2020-07-20T11:44:07Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://repository.kmou.ac.kr/handle/2014.oak/12239 | - |
dc.identifier.uri | http://kmou.dcollection.net/common/orgView/200000216850 | - |
dc.description.abstract | The overconsumption of energy sources has been identified as a significant problem across the globe, especially in the urban regions. This has contributed to the critical problem of release of greenhouse gases into the environment and thereby causing pollution. Thus, it has been the endeavour of the international community to reduce energy consumption for attaining long term sustainability. This study seeks to evaluate the heating and cooling loads of different regions such as Kuwait, Bangkok, and Ulsan to determine the load requirements based on climatic conditions of these regions. It identifies various problems in construction industries across the world due to which excessive consumption of energy occurs. The study aims to identify the reasons for excessive cooling and heating loads, suggest alternatives to reduce loads and thereby decrease consumption, and to make the buildings more efficient in the consumption of energy. By doing so, this study envisages the objective of reducing the greenhouse gas emission in the environment. The study further finds that the determination of the load requirement at the stage of designing by using the appropriate tools will help the minimization of energy consumption. Similarly, it also finds that use of insulation can be an effective way of reducing the impact of heat on buildings. The study suggests the use of the systems such as EnergyPlus and OpenStudio for computer simulation for the determination of accurate energy loads. | - |
dc.description.tableofcontents | 1. INTRODUCTION 1 1.1. Aims of the Study: 4 1.2. Objectives of the Study: 4 LITERATURE REVIEW 10 2.1 Introduction 10 2.2 Main factors affecting the design of cooling and heating loads 10 2.3 Calculation tools for determining energy requirements 14 2.4 Cooling and heating loads in different climatic regions 28 2.5 Summary 32 3. METHODOLOGY 34 3.1. Introduction 34 3.2. Weather Data 34 3.3. ASHRAE Data 35 3.4. Design 39 3.5. Building design: 52 3.6. Modelling 56 3.7. Implementation 77 3.7.1. OpenStudio 77 3.7.2. EnergyPlus 80 3.8. Summary 90 4. PARAMETRIC STUDY 91 4.1. Introduction 91 4.2. Case one (window material glazing) 91 4.3. Case two (Window sizes) 93 4.3.1. Kuwait 94 4.3.2. Bangkok 97 4.3.3. Ulsan 99 4.3.4. Locations comparison 100 4.4. Case three (shaded window Vs unshaded) 105 4.4.1. Kuwait (shaded vs unshaded) 106 4.4.2. Bangkok (shaded vs unshaded) 107 4.4.3. Ulsan (shaded vs unshaded) 108 4.5. Case four (Roof insulation thickness parameters) 109 4.5.1. Kuwait 109 4.5.2. Bangkok 110 4.5.3. Ulsan 111 4.3. Summary 111 5. RESULTS AND DISCUSSION 112 5.1. Introduction 112 5.2. OpenStudio Results 112 5.2.1. Kuwait location 113 5.2.2. Bangkok Location 118 5.2.3. Ulsan Location 123 5.3. EnergyPlus Results 127 5.3.1. Cooling load of Kuwait Location 127 5.3.2. Cooling Load of Bangkok Location 128 5.3.3. Cooling Load of Ulsan Location 128 5.3.4. Comparison 129 5.4. Summary 130 6. CONCLUSION 131 ACKNOWLEDGEMENT 133 REFERENCES 134 APPENDIX 144 | - |
dc.language | eng | - |
dc.publisher | 한국해양대학교 대학원 | - |
dc.rights | 한국해양대학교 논문은 저작권에 의해 보호받습니다. | - |
dc.title | A Study on Cooling and Heating Loads in Three Different Regions | - |
dc.type | Dissertation | - |
dc.date.awarded | 2019-08 | - |
dc.contributor.department | 대학원 기계공학과 | - |
dc.description.degree | Doctor | - |
dc.identifier.bibliographicCitation | YOUSEF A Y H ALABAIADLY. (2019). A Study on Cooling and Heating Loads in Three Different Regions. , (), -. | - |
dc.title.translated | A Study on Cooling and Heating Loads in Three Different Regions | - |
dc.identifier.holdings | 000000001979▲200000001277▲200000216850▲ | - |
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