Course: Certified PV Professional

renac renewables academyDates: 1 April – 30 September 2016
Organisation: RENAC
Location: Online
Register: Certified PV Professional 

Description: After completing this online training, participants will be able to understand the different applications of both grid-connected and off-grid PV technologies, as well as PV-hybrid mini-grids. The Certified PV Professional online training provides knowledge on planning and operation of different PV systems, pointing out critical success factors.

Content:

Introduction

  • Introduction to energy and to the solar resource
  • Basic technological principles of electrical power systems
  • Frequency and voltage control
  • Power system stability

PV application 

  • PV system categories and applications
  • Basic components of a PV system
  • Physical aspects such as irradiance and temperature 
  • Energy yield calculation and performance ratio

PV technology

  • Physics of a PV cell, photovoltaic effect
  • Different types of PV cells
  • PV modules and arrays: configuration, efficiency and shading

PV-diesel hybrid systems

  • categories of PV-diesel hybrid systems
  • system components and system sizing
  • dynamic system behavior
  • economic evaluation

Off-grid PV systems

  • System applications and configurations
  • System design and sizing: key factors and methodology
  • Installation and commissioning incl. best practice examples
  • Economics of an off-grid PV system

Planning of large-scale grid-connected PV

  • Feasibility study, assessment of location, estimate of yield
  • Quality criteria for bankable yield assessment studies
  • Environmental conditions, infrastructure, grid connection
  • Commissioning procedure, operation and maintenance

Planning of PV-Hybrid-power stations (“Fuelsaver“)

  • Feasibility study, load profiles, load projections
  • Characteristics and dynamic behaviour of diesel gensets
  • Technical concerns and system optimization 
  • Detailed financial analysis
  • Commissioning procedure, O & M, data monitoring