repository
Special Graduate Schools
Graduate School of International Studies
Department of Energy Studies
3. Theses(Master)
ASSESSING FINANCIAL VIABILITY OF SMART METERS INSTALLATION AT ELECTRICITY THEFT PRONE FEEDER IN PAKISTAN
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Suduk Kim | - |
| dc.contributor.author | KHAN MUHAMMAD FARHAN ULLAH | - |
| dc.date.accessioned | 2022-11-29T02:32:00Z | - |
| dc.date.available | 2022-11-29T02:32:00Z | - |
| dc.date.issued | 2020-02 | - |
| dc.identifier.other | 29430 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/19482 | - |
| dc.description | 학위논문(석사)--Graduate School of International Studies Ajou University :융합에너지학과,2020. 2 | - |
| dc.description.tableofcontents | Chapter 1. INTRODUCTION 6 1.1 Research Motivation 6 1.1.1 Research Background 7 1.2 Problem Statement 10 1.3 Research Scope and objectives 10 1.4 Hypothesis 12 1.5 Research Process and Methodology 13 Chapter 2. PRELIMINARY STUDIES 14 2.1 Context of Study and Current trends 14 2.2 The Smart Meter and Associated Devices 15 2.3 Cost-Benefit Ratio 16 2.3.1 Cost breakdown of Smart Meters 16 2.4 Advantages of Smart Meters installation 18 2.4.1 Uncertainty 18 2.4.2 CO2 certificates 19 2.4.3 Cost of Manual Meter Reading 19 2.4.4 Associated benefits 19 2.4.5 Losse 0 2.4.6 Grid stability and reliability 21 2.4.7 Faster detection of outage 21 Chapter 3. METHODOLOGY 23 3.1 Methodologies to calculate Cost Benefit 23 3.1.1 Benefit Cost Ratio (BCR) 23 3.1.1.1 Steps for calculating BCR 24 3.1.1.2 Interpretation of the results 24 3.2 Adoption of Methodology 24 3.3 Methodology / Frame work 25 3.4 Limitations 25 3.5 Alternative options 26 3.6 Project Financing 26 Chapter 4. FINDINGS AND IMPLICATIONS 29 4.1 Research and Calculations 29 4.1.1 The Feeder Selection 30 4.1.2 Calculation of Non-technical losses (theft ) 30 4.1.3 Cost Benefit Analysis of Smart Meters rollout 31 4.1.3.1 Cost 31 4.1.3.2. Benefits 32 4.1.3.3 Benefit Cost Ratio 32 4.2 Scenarios 32 4.2.1 Scenario 0 32 4.2.2 Scenario 1 33 4.2.2.1 Costs 33 4.2.2.2 Benefits 35 4.2.2.3 Benefit Cost Ratio 36 4.2.3 Scenario 2 : 37 4.2.4 Scenario 3: 37 4.2.5 Scenario 4: 38 4.2.6 Scenario 5: 38 4.2.7 Scenario 6: 39 4.3 Result Interpretation 39 Chapter 5. CONCLUSION AND FUTURE WORK 41 5.1. Summary 41 5.2 Conclusion 41 5.3 Future Work 42 APPENDIX 43 BIBLIOGRAPHY 47 | - |
| dc.language.iso | eng | - |
| dc.publisher | Graduate School of International Studies Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | ASSESSING FINANCIAL VIABILITY OF SMART METERS INSTALLATION AT ELECTRICITY THEFT PRONE FEEDER IN PAKISTAN | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 국제대학원 | - |
| dc.contributor.department | 국제대학원 융합에너지학과 | - |
| dc.date.awarded | 2020. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 1138506 | - |
| dc.identifier.uci | I804:41038-000000029430 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000029430 | - |
| dc.subject.keyword | Advance Metering Infrastructure | - |
| dc.subject.keyword | Cost Benefit Ratio | - |
| dc.subject.keyword | Electricity theft | - |
| dc.subject.keyword | Smart Meters | - |
| dc.description.alternativeAbstract | Non-technical losses are common phenomenon and globally the distribution and transmission companies losses around US $ 90 billion revenue every year. Electricity theft is considered as one of the non-technical losses and deprives the distribution company from its major portion of revenue. In developing and especially in under developed countries, that practice is more common and put an extra burden on already fragiled power system as well as poor economy. Last year, Pakistan has faced around US $ 530 Million revenue loss due to electricity theft. There are certain instruments available to control the electricity theft, however, Smart Meters ( aka Advance Metering Infrastructure) is considered as one of the best options for curbing the electricity theft. Expensive equipment and associated infrastructure, however, make it an expensive choice for deployment especially in developing countries. In this study, in order to access the economic viability for a distribution company, benefit to cost ratio for installation of smart meters for controlling electricity theft at feeder level, is made. | - |
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