Solar Training

Next Course Date: 10 - 12 October 2022

Time: 9am - 6pm

Mode of Delivery: Face-to-face

Course Summary

Project Management is the application of knowledge, skills, tools, and techniques to project activities to meet the project requirements. This workshop aims to upskill learners with the ability to completing projects successfully accordingly to project timelines specifically designed for solar projects.

Rates (inclusive of GST)

Standard: S$1,070

WSQ Mid-Career Enhanced Subsidy (Self-Sponsored): S$370

WSQ Enhanced Training Support for SMEs (Company Sponsored): S$370

WSQ Funding for PR Individuals & Non-SMEs Company-sponsored: S$570

(SSG Training Grant Approved Course, available for Singaporean and PR)

* Terms & conditions apply

* View here ​​for more details on the funding schemes

Certificate

Participants will be issued a Statement of Attainment by SSG after fulfilling all attendance, assignment and assessment requirements.

SCEM Participants will be awarded with 20 PDU Points

Course Objective

• Create a project charter for a solar PV installation project within an organisational context
• Develop project and budget plans, with clear consideration of the risk mitigation measures, allocation of resources and stakeholder communication channels, in carrying out a solar PV installation project.
• Apply appropriate methodologies and tools for the solar PV installation project.
• Monitor and resolve any issues in order to complete the project within the timeline, resources and budget allocated

Next Course Date: 17 - 19 October 2022

Time: 9am - 6pm

Mode of Delivery: Face-to-face

Course Summary

Photovoltaic Professionals are required to maintain photovoltaic installations after they have been installed. This course attempts to equip learners on conducting maintenance procedures.

As part of the maintenance, learners will be instructed on how to run diagnostics, conduct inspections, fault identification techniques and common areas where faults may occur.

Performing maintenance requires learners to rectify identified faults. Learners will be instructed on repair methods, corrective maintenance principles and to perform repair on equipment/site according to maintenance procedures.

Rates (inclusive of GST)

Standard: S$642

WSQ Mid-Career Enhanced Subsidy (Self-Sponsored): S$222

WSQ Enhanced Training Support for SMEs (Company Sponsored): S$222

WSQ Funding for PR Individuals & Non-SMEs Company-sponsored: S$342

(SSG Training Grant Approved Course, available for Singaporean and PR)

* Terms & conditions apply

* View here ​​for more details on the funding schemes

Certificate

Participants will be issued a Statement of Attainment by SSG after fulfilling all attendance, assignment and assessment requirements

Course Objectives:

By the end of the course, learners should be able to:

• Interpret requirements related to maintenance procedures.
• Perform diagnostic test and inspections on solar PV systems.
• Carry out maintenance work for the solar PV systems

Next Course Date: 02 - 04 November 2022

Time: 9am - 6pm

Mode of Delivery: Face-to-face

Course Summary

Site suitability ensures that the solar power plant is optimally located. Placing the plant in unsuitable site and will cause solar PV production efficiency to drop or malfunction.

Learners need to know what constitutes site suitability, how to assess sites, how to conduct energy assessment and how they should optimise solar PV designs.

In this way, they can help to resolve space optimisation problem, derive optimum cost function value, and mitigate technical constraints related to the suitability of the sites for the plants.

Rates (inclusive of GST)

Standard: S$1,000

WSQ Mid-Career Enhanced Subsidy (Self-Sponsored): S$370

WSQ Enhanced Training Support for SMEs (Company Sponsored): S$370

WSQ Funding for PR Individuals & Non-SMEs Company-sponsored: S$570

(SSG Training Grant Approved Course, available for Singaporean and PR)

* Terms & conditions apply

* View here ​​for more details on the funding schemes

Certificate

Participants will be issued a Statement of Attainment by SSG after fulfilling all attendance, assignment and assessment requirements

SCEM Participants will be awarded with 21 PDU Points.

Course Objectives

This course will equip learners with the knowledge and skills to administer energy assessments and site analysis procedures so that learners can recommend suitable sites and optimisation methods for usable space.

Next Course Date: 12 - 14 December 2022

Time: 9am - 6pm

Mode of Delivery: Face-to-face

Course Summary

It is not easy to study the performance of solar PV systems because it varies constantly with differing conditions of parameters and system components. Timely detection of faults and issues are critical so that prompt remedial actions can be taken to reduce damage and cost. Real time monitoring will be needed to keep up with the required observation of the performance of the solar PV system around the clock. Having an Internet of Things (IoT)-based energy management approach will allow for real time monitoring and optimisation of energy consumption to enhance the performance of the solar PV systems.

Learners attending the course will be equipped with knowledge and skills to carry out remote monitoring of solar PV systems using an Internet of Things (IoT)-based approach.

Rates (inclusive of GST)

Standard: S$642

WSQ Mid-Career Enhanced Subsidy (Self-Sponsored): S$222

WSQ Enhanced Training Support for SMEs (Company Sponsored): S$222

WSQ Funding for PR Individuals & Non-SMEs Company-sponsored: S$342

(SSG Training Grant Approved Course, available for Singaporean and PR)

* Terms & conditions apply

* View here ​​for more details on the funding schemes

Certificate

Participants will be issued a Statement of Attainment by SSG after fulfilling all attendance, assignment and assessment requirements.

SCEM Participants will be awarded with 21 PDU Points

Course Objective

• Apply an Internet of Things (IoT)-based approach for the remote monitoring of solar PV systems
• Manage automated tools and systems for solar PV systems
• Interpret data generated for the optimisation of solar PV systems