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ANALYZING THE IMPACT OF BUILDING SECTOR ENERGY POLICIES AND REGULATIONS ON ENERGY DEMAND IN SRI LANKA
  • HETTI GODAGE GAYASHAN KULATHUNGA
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dc.contributor.advisorSuduk Kim-
dc.contributor.authorHETTI GODAGE GAYASHAN KULATHUNGA-
dc.date.issued2024-02-
dc.identifier.other33245-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/38821-
dc.description학위논문(석사)--융합에너지학과,2024. 2-
dc.description.abstractThis study employs two different methodologies to evaluate the future development of Sri Lanka's building industry. First, it assesses how building floor area and energy consumption will increase over the course of the next three decades under three different population projections. The second goal is to evaluate how well various energy efficiency regulation implementation tactics contribute to increases in energy demand and decreases in emissions. To evaluate these scenarios, the Energy Modelling Lab at Ajou University developed an extended model of GCAM called GCAM-EML. The UN's population projections for Sri Lanka are used in the study, which makes three assumptions about population projection scenarios: "Lower," "Reference," and "Upper." According to simulation results, the nation's total building floor area will increase by 51%, 62%, and 73% between 2020 and 2050 under the "Lower," "Reference," and "Upper" population scenarios, respectively. This implies that during the next thirty years, Sri Lanka's building industry will grow significantly. Additionally, the findings demonstrate that, in all three population projection scenarios, the country's primary energy demand, total CO2 emissions from end-use sectors, and electricity will double by 2050. Furthermore, it is anticipated that the demand for electricity will increase fourfold between 2020 and 2050, pointing to a shift toward cleaner energy sources. In examining how building energy regulations affect the growth of the building sector's energy demand, it is anticipated that Sri Lanka's population will rise gradually to a peak of 22.279 million by 2035, after which it will start to decline and reach 21.185 million by 2050. According to the simulation results, if the energy efficiency building code is not applied, Sri Lanka's total primary energy demand will rise by 2.04 times in comparison to the current situation. Nonetheless, the application of EEBC at both low and high compliance rates indicates that by 2050, commercial sector buildings could save a total of 9,330.24 GWh to 15,778.66 GWh of electricity. Furthermore, extending the application of energy efficiency regulations to the residential sector may save between 41,562.16 and 69,445.94 GWh in total. According to the study, cumulative CO2 emissions could be lowered by the building sector's application of efficiency regulations by 0.63 to 5.44 million tons of carbon dioxide. The study highlights how important energy regulations will be in shaping Sri Lanka's energy landscape going forward. Policymakers, energy stakeholders, and researchers can use the research's insights into the effectiveness of building-related policies to help them develop sustainable energy strategies. With Sri Lanka's construction industry growing rapidly, it is imperative to slow down the rise in energy consumption, particularly for electricity, by enacting strong building energy policies. The findings back up proactive energy regulations as a way to steer Sri Lanka in the direction of a more sustainable and energy-efficient future while maintaining a balance between economic growth and responsible energy consumption. Key Words: GCAM-EML, GCAM, Building Energy Code, Energy Demand, Emission Reduction, Energy Regulation.-
dc.description.tableofcontentsChapter 1 INTRODUCTION 1_x000D_ <br>Chapter 2 BACKGROUND 6_x000D_ <br> 2.1 Sri Lanka's Topography and climate 6_x000D_ <br> 2.2 Economy 7_x000D_ <br> 2.3 Energy Sector 7_x000D_ <br> 2.4 Vulnerability to Climate Change and Emissions 8_x000D_ <br>Chapter 3 LITERATURE REVIEW 11_x000D_ <br> 3.1 Previous Studies 11_x000D_ <br>Chapter 4 MODEL, DATA AND SCENARIOS 16_x000D_ <br> 4.1 Overview of the Methodology 16_x000D_ <br> 4.1.1 Global Change Analysis Model (GCAM) 16_x000D_ <br> 4.1.2 Overview of GCAM 18_x000D_ <br> 4.1.3 GCAM-EML 20_x000D_ <br> 4.1.4 GCAM-EML Data system 21_x000D_ <br> 4.1.5 Energy Sector in GCAM 23_x000D_ <br> 4.1.6 Socioeconomic Variables 32_x000D_ <br> 4.2 Data 33_x000D_ <br> 4.2.1 Population 33_x000D_ <br> 4.2.2 Labor Force 34_x000D_ <br> 4.2.3 Energy Sector of Sri Lanka 35_x000D_ <br> 4.2.4 Building Sector 40_x000D_ <br> 4.2.5 Building Energy Codes 47_x000D_ <br> 4.3 Scenario Development 49_x000D_ <br> 4.3.1 Scenarios for Sensitivity Analyze 49_x000D_ <br> 4.3.2 Scenarios for Analyzing the Building Energy Regulations 50_x000D_ <br>Chapter 5 RESULTS AND DISCUSSION 55_x000D_ <br> 5.1 Sensitivity Analysis of Building Sector 55_x000D_ <br> 5.1.1 Final Energy Consumption 55_x000D_ <br> 5.1.2 Gross Domestic Product (GDP) 57_x000D_ <br> 5.1.3 Evolution of Building Sector 58_x000D_ <br> 5.1.4 Primary energy demand 63_x000D_ <br> 5.1.5 CO2 Emissions 63_x000D_ <br> 5.2 Evaluation of Effectiveness of Building Energy Code 64_x000D_ <br> 5.2.1 Final Energy Consumption 64_x000D_ <br> 5.2.2 Primary Energy Demand 69_x000D_ <br> 5.3 CO2 Emissions 70_x000D_ <br> 5.4 Electricity Savings 72_x000D_ <br> 5.4.1 Electricity Saving Potential through Entire Building Sector 73_x000D_ <br>Chapter 6 CONCLUSIONS 77_x000D_ <br>REFERENCES 79_x000D_-
dc.language.isoeng-
dc.publisherGraduate School of International Studies Ajou University-
dc.rights아주대학교 논문은 저작권에 의해 보호받습니다.-
dc.titleANALYZING THE IMPACT OF BUILDING SECTOR ENERGY POLICIES AND REGULATIONS ON ENERGY DEMAND IN SRI LANKA-
dc.typeThesis-
dc.contributor.affiliation아주대학교 대학원-
dc.contributor.department국제대학원 융합에너지학과-
dc.date.awarded2024-02-
dc.description.degreeMaster-
dc.identifier.urlhttps://dcoll.ajou.ac.kr/dcollection/common/orgView/000000033245-
dc.subject.keywordBuilding Energy Code-
dc.subject.keywordEmission Reduction-
dc.subject.keywordEnergy Demand-
dc.subject.keywordEnergy Regulation-
dc.subject.keywordGCAM-
dc.subject.keywordGCAM-EML-
dc.title.subtitleAN INTEGRATED ASSESSMENT MODEL APPROACH-
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