THE DECENTRALIZATION LIKE STRATEGY OF ELECTRIFICATION OF RURAL AREAS IN DEMOCRATIC REPUBLIC OF CONGO BY MICROGRID: the case of Pont KWANGO village
- 주제(키워드) Access to the electricity
- 주제(DDC) 333.79
- 발행기관 아주대학교 국제대학원
- 지도교수 Jaewon Kwon
- 발행년도 2024
- 학위수여년월 2024. 2
- 학위명 석사
- 학과 국제대학원 융합에너지학과
- 실제URI http://www.dcollection.net/handler/ajou/000000033225
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
The purpose of this study is to examine the possibilities of microgrid-based decentralized electrification methods for rural Democratic Republic of the Congo (DR Congo) areas. The socioeconomic growth and general standard of living of the local populace are hampered by the absence of access to electricity in rural regions. The purpose of this study is to investigate the viability, advantages, difficulties, and possible effects of deploying microgrid systems as a decentralized electrification strategy to meet the energy requirements of rural communities in the Democratic Republic of the Congo. The results of the study will aid in the creation of viable electrification plans for areas with comparable difficulties. More than 81% of people live without access to electricity in the Democratic Republic of the Congo (DRC), making it one of the world's poorest nations. The lives of those living in rural areas are greatly impacted by this shortage of energy since they frequently lack access to essential services like communication, healthcare, and education. One potential solution to the problem of rural electrification in the DRC is to use microgrids. Microgrids are small, decentralized power systems that can be installed in rural areas without the need for a large, centralized power grid. Microgrids can be powered by a variety of sources, including solar, wind, and hydropower. Decentralized electrification through microgrids has the potential to provide several benefits for rural areas in the DRC. These benefits include: - Greater access to power: Rural communities not linked to the national grid can receive electricity via microgrids. - Better quality of life: By enabling access to essential services like communication, healthcare, and education, electricity may enhance the standard of living in remote communities. - Economic growth: By giving companies in remote regions the power they require to function, access to electricity may assist in promoting economic development in those places. - Cheap to implement. Nevertheless, decentralized electricity via microgrids is not without its difficulties. These difficulties consist of: - High cost: The installation and upkeep of microgrids can be costly. - Lack of technical know-how: The DRC's rural areas frequently lack the technical know-how necessary to run and sustain microgrids. Decentralized electricity via microgrids has the potential to serve rural regions in the Democratic Republic of the Congo in a variety of ways, despite certain limitations. Homer Pro was the tool I used to model my off-grid installation. To enhance the lives of people living in rural regions, the DRC government should think about establishing a plan for decentralized electricity using microgrids.
more목차
Chapter 1 ENERGY SITUATION IN DRCongo . 1
1.1 INTRODUCTION 1
1.2 ORGANIZATION OF ELECTRICITY SECTOR . 2
1.2.1 Highlights of the Congolese Energy Sector Reform. 2
1.3 GRID ELECTRIFICATION SUMMARY . 4
1.4 ENERGY POTENTIAL 6
1.5 WEAKNESS OF CENTRALIZE GRID 8
Chapter 2 CENTRALIZE AND DECENTRALIZE POWER SYSTEM 10
2.1 CENTRALIZED GRID 11
2.1.1 General Consideration 11
2.1.2 Architecture of Centralized Grid. 11
2.2 DECENTRALIZED GRID 13
2.2.1 Definition . 13
2.2.2 Potential Market of Decentralized Grid in DRCongo 16
2.2.3 Energy Demand 22
2.2.4 Microgrid . 25
2.2.5 Microgrid in DRCongo . 29
Chapter 3 METHODOLOGY 30
3.1 PROJECT ASSESSMENT AND PLANNING . 30
3.1.1 Objectives 30
3.1.2 Site Assessment 30
3.1.3 Energy Demand Analysis 31
3.1.4 Resource Assessment . 32
3.1.5 Homer Pro 33
3.2 CHARACTERISTICS OF COMMUNITY . 34
3.3 DAILY POWER DEMAND PROFILE . 34
3.4 DATA MODELLING ASSUMPTION . 35
3.5 INDICATOR OF PERFORMANCE 35
3.6 THE DATA MODELLING LOCATION . 37
3.7 ORGANIZATION OF SIMULATIONS 37
Chapter 4 SIMULATION RESULTS and TABLE 39
4.1 SIMULATIONS . 39
4.2 SIMULATION BY CHEAP LCOE . 40
4.3 OPTIMIZATION RESULT . 48
4.3.1 Pv+ Ess + Generator (Hybrid System) . 49
4.3.2 Generator System . 54
Chapter 5 INTERPRETATION OF RESULT AND OWN DESIGN OF OUR GRID 59
5.1 INTERPRETATION OF RESULT 59
5.1.1 Residential loads 59
5.1.2 Municipal Loads 60
5.2 DESIGN OF GRID 61
Chapter 6 CONCLUSION AND RECOMMENDATION 63
6.1 CONCLUSION 63
6.2 RECOMMENDATIONS 65
