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Homer Pro

At Burrāq UK, the Homer Pro course is designed to equip participants with advanced skills in solar photovoltaic (PV) system design and simulation using the industry-leading Homer Pro software. This software is widely used globally for optimizing and analyzing renewable energy systems, especially hybrid systems combining solar, wind, and other energy sources.

Aim of Homer Pro

The aim of the Homer Pro course is to equip participants with the knowledge and practical skills to effectively model, simulate, and optimize hybrid renewable energy systems using the Homer Pro software, enabling them to design cost-effective, efficient, and sustainable energy solutions for diverse applications.

Course Overview

Homer Pro

Total Modules 6
Training Credits 12
Directed Learning Hours (DLH) 36
Course Code BUK1132

Educational Requirements:

  • Minimum qualification: Diploma or Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Renewable Energy, Environmental Science, or related technical fields
  • Candidates with relevant technical background or experience in energy systems preferred

 Professional Experience:

  • Prior knowledge of renewable energy concepts and electrical systems is recommended
  • Experience in energy project design, analysis, or consultancy is an advantage but not mandatory

Technical Skills:

  • Basic understanding of electrical and mechanical systems
  • Familiarity with computer software and data analysis
  • Analytical mindset for system modeling and optimization
Course CodeCurriculum TitleCreditDLH
BUK1132-1Introduction to Hybrid Renewable Energy Systems215
BUK1132-2Basics of Homer Pro Software215
BUK1132-3Resource Data Collection and Input215
BUK1132-4Modeling Solar PV Systems215
BUK1132-5Load and Demand Analysis215
BUK1132-6System Simulation and Optimization215
Learning Objectives
  1. Introduction to Hybrid Renewable Energy Systems
    Overview of solar, wind, diesel, and storage components in hybrid systems.
  2. Basics of Homer Pro Software
    Installation, interface navigation, and understanding software features.
  3. Resource Data Collection and Input
    Importing and managing solar radiation, wind speed, and load profiles.
  4. Modeling Solar PV Systems
    Creating and simulating solar photovoltaic components and parameters.
  5. Modeling Wind and Other Energy Sources
    Integrating wind turbines, diesel generators, and batteries into models.
  6. Load and Demand Analysis
    Defining and simulating electrical load profiles for different applications.
  7. System Simulation and Optimization
    Running simulations to optimize system design for cost and performance.
  8. Sensitivity and Scenario Analysis
    Assessing how changes in variables affect system reliability and costs.
  9. Economic Analysis and Cost Breakdown
    Understanding capital, operational costs, and calculating Levelized Cost of Energy (LCOE).
  10. Generating Reports and Presentations
    Creating comprehensive reports and visualizing results for stakeholders.
  11. Case Studies and Practical Projects
  12. Applying knowledge to real-world renewable energy system design challenges.
  • Professionals seeking to specialize in hybrid renewable energy system design and optimization
  • Individuals involved in planning, designing, or managing renewable energy projects.
  • Engineering students or fresh graduates aiming to develop practical skills in energy modeling.
  • Those involved in renewable energy research requiring simulation and optimization tools.
  • Technicians looking to upgrade their design and analysis capabilities.
  • All Modules within this qualification are assessed internally by the approved training Centre and externally verified by BURRAQ UK. The program uses a criterion-referenced assessment approach to ensure that learners successfully meet all required learning outcomes.
  • A Pass in any unit is granted only when the learner submits valid, reliable, and authentic evidence that demonstrates achievement of the assessment criteria. The Assessor is responsible for reviewing this evidence and confirming that the learner has attained the expected standard.