Solar PV Research proposal presentation.pptx

Research proposal

1. 1 DESIGNING AND OPTIMIZATION OF A SOLAR PANEL SYSTEM FOR MAXIMUM OUTPUT Name: Kornelius Martha Student number:220013640 Module name and Code: Experimental research and Design Your Department:Electrical Date of presentation: 25 October 2023

2. 2 Introduction Problem Statement Research Aim & Objectives Significance of The Study Literature Review Limitations and Delimitations of the Study Research Methodology Conclusion OUTLINE

3. INTRODUCTION T his study is about the design and optimization of solar panel systems to maximize their energy output. Solar energy is often used inefficiently in installations, resulting in lower energy production previous studies on the topic : Panel efficiency is determined by the solar cell technology and materials used (Green et al. 2017). Tilt angle affects how directly sunlight hits the panel. The optimal tilt angle depends on latitude and season. (Chang 2009). Shading from buildings, trees etc can greatly reduce output. (Infield et al. 2006 ). Therefore this study will help analyze factors contributing to the problem and techniques to help resolve it.  

4. 4 PROBLEM STATEMENT Tips on this slide:   Problem Problem Origin Existing Scientific Solution Challenges of the existing solution Proposed Scientific Solutions Advantages of the proposed solution Benefits   Inefficient utilization of solar energy due to suboptimal design and installation of solar panel system Suboptimal Design Improper Installation Lack of Maintenance Inadequate Optimization Techniques Advanced Tracking Technologies Comprehensive Economic Models Optimization Techniques Lack of Resources Limited Data and Research Technological Limitations Contextual Factors Research and Development Data Collection and Analysis Collaboration and Knowledge Sharing Education and Awareness Increased Energy Capture Cost Savings Environmental Sustainability Technological Advancements Knowledge Expansion Economic Benefit Scientific Knowledge Environmental Impact Energy Sustainability

5. RESEARCH AIM & OBJECTIVES The purpose of the study:   To fill in knowledge gaps Address important issues in the design and optimization of solar panel systems. Objectives To investigate the key factors influencing the design and optimization of solar panel systems To find ways in which solar panels installation should be done to help maximize the energy output. To assess the benefits that optimizing and obtaining efficient solar energy will have on the environment and economic wise.

6. SIGNIFICANCE OF THE STUDY   S/N Research significance Statistical significance . Commercial / economic significance: Societal significance: 1 Environmental Impact A bility to reveal patterns and correlations in the data set related to design parameters   Job Creation and Economic Growth   Energy Independence 2 Energy Security Provision valuable insights into the factors that influence the energy output of solar panel systems and the effectiveness of optimization strategies Energy security Technological Advancement 3 Scientific Advancement Cost reduction E nergy Access and Affordability 4

7. LITERATURE REVIEW S/N Author(s) & Year Title Problem Addressed Method Gap/Results/comments  1   J.K. Kaldellis et al. (2009) Optimum autonomous stand-alone photovoltaic system design on the basis of energy pay-back analysis   Optimizing the design of stand-alone PV systems to maximize energy output and minimize costs  Energy payback analysis to compare different PV module technologies and system configurations   Mono-Si panels with two-axis tracking provided best performance in terms of energy produced per embodied energy. 2 R. Ramaprabha and B.L. Mathur (2009) Maximum power point tracking of partially shaded solar photovoltaic arrays Extracting maximum power from partially shaded PV arrays Proposed new maximum power point tracking algorithm Algorithm successfully tracked global maximum power point under partial shading conditions. 3 T. Ma et al. (2014)  Optimal tilt angle of solar collectors: Case study for Shanghai . Determining optimal tilt angle for solar collectors in Shanghai Simulation modeling to analyze tilt angle vs. solar radiation receipt Optimal tilt angle was determined to be 10° greater than latitude angle. 4 A. Mellit et al. (2020) Artificial intelligence and Internet of Things for an efficient and smart photovoltaic system: A review Applying AI and IoT to monitor and optimize PV systems Literature review of AI/IoT applications for fault detection, MPPT, etc. AI and IoT have potential to significantly improve monitoring and maximize power output.

8. LIMITATIONS & DELIMITATIONS OF THE STUDY Limitations   S/N  Limitations  Implications 1 Theoretical Lack of access to an actual real world solar installations and data 2 Methodological The sampling procedures may not fully represent the diverse range of solar panel installations. 3 Empirical Limited financial resources may restrict the extent of field research and data collection 4 Analytical The statistical treatments used may have limitations in revealing patterns and correlations in the data set 5 Ethical Challenges in addressing cultural sensitivities and minimizing negative impacts on local ecosystems during site visits and interactions with stakeholders. S/N Aspects/variables/factors excluded from the study Why exclude them? 1 Other Renewable Energy Systems Specific research objective is to investigate the solar energy. 2 Technical Details of Solar Panel Manufacturing Is not the primary focus 3 Non-Grid-Connected Solar Panel Installations Delimitations  

9. RESEARCH METHODOLOGY RESEARCH DESIGN Descriptive research design will be used to gather already existing information Analytic approach will be used to analyze the data that was collected, POPULATION Various locations and settings where there is solar panel system installations SAMPLE Str atified random sampling will be used. It will help gather d ata from a diverse range of solar panel installations Enabling a comprehensive examination of design parameters, optimization techniques, and energy output.

10. RESEARCH INSTRUMENTS Questionnaire will be designed to obtain feedback on system specifications, maintenance, and energy consumption. Direct observations which includes site visits to verify reported issues, assess the physical condition of the roads, and evaluate the effectiveness of adaptive measures

11. DATA COLLECTIONS & DATA ANALYSIS DATA COLLECTION PROCEDURE Structured questionnaire distribution Direct observations on a subset of modeled solar systems . DATA ANALYSIS Statistical methods including descriptive statistics, regression analysis, and correlation. Identify relationships among design parameters, optimization techniques, and energy output . Quantitative measurements of design parameters and energy outcomes, Qualitative evaluation of optimization strategies

12. CONCLUSION T his res earch will identify ways to address the design and optimization of solar energy systems for maximum output. It will help address the inefficiencies in solar energy utilization and explore ways to increase energy efficiency.

13. THE END OF THE PRESENTATION THANK YOU