COURSE OVERVIEW
EE1104 : BESS Integration Design and Testing

OVERVIEW
COURSE TITLE | : | EE1104 : BESS Integration Design and Testing |
COURSE DATE | : | Jul 21 - Jul 25 2025 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Grant Stead |
VENUE | : | Abu Dhabi, UAE |
COURSE FEE | : | $ 5500 |
Register For Course Outline |
Course Description
This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators.
This course is designed to provide participants with a detailed and up-to-date overview of BESS Integration Design and Testing. It covers the types and key components of BESS including the key performance indicators (KPIs) and typical applications in power systems; the BESS integration in power systems, battery chemistry and technology; the BESS power conversion systems (PCS) and system requirements for BESS integration; the standards and regulations for BESS, safety requirements for battery installations, emergency protocols for battery fires or failures; and the codes of practice for installation and testing.
Further, the course will also discuss the power flow and load flow analysis for BESS; the battery sizing and optimization, control strategies for BESS and design of battery management systems (BMS); the cost-benefit analysis of BESS integration, return on investment (ROI) and payback period; the test procedures for BESS integration, battery testing methods and testing power conversion systems (PCS); the safety and fault diagnosis testing and environmental testing; and comparing test results with design expectations including continuous monitoring and system adjustments post-installation.
During this interactive course, participants will learn the BESS for frequency regulation, peak shaving and energy arbitrage and grid support services; the role of BESS in virtual power plants (VPP); the advanced grid integration of BESS, demand response and BESS in smart grids and communication and control systems for BESS; the maintenance strategies for BESS and troubleshooting common BESS issues; upgrading and retrofitting existing BESS systems and decommissioning and recycling of BESS; the role of AI and machine learning in energy storage optimization; developing standards for ultra-large-scale BESS; and predicting the future of grid-scale energy storage.
link to course overview PDF
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesPractical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
Certificates | : | Only soft copy certificates will be issued |
Training Materials | : | Only soft copy materials will be issued |
Training Methodology | : | 80% theory, 20% practical |
Training Program | : | 4 hours per day, from 09:30 to 13:30 |
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