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      Prioritization of renewable energy technologies for power generation in Cameroon : using analytic hierarchy process (AHP)

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      https://www.riss.kr/link?id=T15064493

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      다국어 초록 (Multilingual Abstract)

      Energy in the world is an essential component for development. Even more for the countries, whose aspiration is the improvement of the living conditions of these populations. Due to the multitude of sources of energy in their global origin challenges ...

      Energy in the world is an essential component for development.
      Even more for the countries, whose aspiration is the improvement of
      the living conditions of these populations. Due to the multitude of
      sources of energy in their global origin challenges the establishment of
      adequate policies for their use. Cameroon with its multiple energy
      potential in the renewable resource is the subject of this case study.
      Through the prioritization of the most appropriate technology for the
      generation of power as an alternative secondary to its current
      generation. As a follow-up, the Multiple Decision Tool (AHP)
      Analytic Hierarchy Process used for the first time in the energy sector
      for the prioritization of technologies such as solar photovoltaic, solar
      thermal (CSP), wind energy, and biomass. Which are the least
      renewable energy involves in the production of energy in Cameroon
      for this fact four essential criteria will be taken into account (economic,
      technical, environmental, and social). Criteria in which are associated
      with sub-criteria, all selected through the literature review of the
      essential components in a similar exercise of selection. In order to
      conduct this study, a survey of the expert presbyter established. For the
      pairwise comparison of the components of this model respecting the
      primary, object.
      From this prioritization, come out that solar photovoltaic
      an alternative is class one for the generation of energy, followed by
      Biomass, then wind energy and finally solar thermal. Through this
      analysis and analysis of the prioritization component, planning
      implications have made for sustainable planning.

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      목차 (Table of Contents)

      • Table of Contents iv
      • List of Tables vi
      • List of Figures vii
      • Abstract viii
      • Acknowledgments ix
      • Table of Contents iv
      • List of Tables vi
      • List of Figures vii
      • Abstract viii
      • Acknowledgments ix
      • Chapter 1. Introduction 1
      • 1.1. Background 1
      • 1.2. Research Objectives . 6
      • Chapter 2. Literature Review 8
      • 2.1. Cameroons Energy Challenges 8
      • 2.2. Overview of Renewable Energy Technology 10
      • 2.2.1. Definition of renewable resources 10
      • 2.2.2. Applications of Renewable energy 11
      • 2.2.3. Solar energy 12
      • 2.2.4. Wind Energy 16
      • 2.2.5. Bioenergy 18
      • 2.3. Overview of the Potential and Availability of Renewable Energy Resources in Cameroon 21
      • 2.3.1. Renewable Energy Potential 23
      • 2.4. Multi-criteria Decision Analysis (MCDA) for Energy Planning 26
      • 2.4.1. Analytic Hierarchy Process (AHP) 28
      • 2.4.2. Analytic Network Process (ANP) 28
      • 2.4.3. Preference ranking organisation method for enrichment evaluation (PROMETHEE) 29
      • 2.4.4. Elimination and choice translating reality (ELECTRE) 29
      • 2.4.5. Technique for order preference by similarity to ideal solutions (TOPSIS) 29
      • 2.4.6. Multi-attribute utility theory (MAUT) 30
      • 2.4.7. Choice of Method 30
      • 2.5. Multi-criteria AHP in the energy sector 31
      • 2.5.1. Description of sub-criteria 32
      • Chapter 3. RESEARCH METHOD 35
      • 3.1. Introduction 35
      • 3.1.1. Analytic Hierarchy Process (AHP) 36
      • 3.1.2. Expert option analysis toolkit 39
      • Chapter 4. RESULTS 41
      • 4.1. Research results 41
      • 4.1.1. Analysis of the relative weights for the sub-criteria corresponding to the goal 42
      • 4.1.2. Analysis of relative weights for the alternatives based on sub-criteria 46
      • 4.2. Synthesis 51
      • 4.3. Discussion 54
      • Chapter 5. CONCLUSION AND RECOMMENDATIONS 56
      • 5.1. Limitations of current research 57
      • References 58
      • Appendix 1 64
      • Appendix 2 process of computation 107
      • Appendix 3 Footnote 109
      • Appendix 4 Data Collected 110
      • Appendix 5 114
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