Module Description
This module introduces a planning framework for Hybrid Renewable Energy Systems (HRES) in communities where reliable future central grid availability is uncertain. Unlike conventional HRES planning, which assumes fixed grid conditions, the course addresses uncertainty in the timing, electricity prices, and interconnection arrangements of future grid access. Participants will get introduced to deterministic, stochastic, and receding horizon planning approaches, understand the role of asset retirement and market liquidity in investment decisions, and examine a practical case study from Lebanon. The course concludes with a simplified planning methodology that achieves near-optimal results while avoiding the complexity of continuous uncertainty assessment.
Learning Outcomes
By the end
of this module, you will be able to:
- Explain the challenges of planning hybrid renewable energy systems under uncertain future grid conditions.
- Distinguish between different hybrid renewable energy system planning approaches.
- Describe how uncertainty in future grid availability and market liquidity influence investment decisions.
- Compare deterministic, stochastic, and receding horizon planning methods.
- Apply a practical planning approach for hybrid renewable energy systems under uncertain grid conditions.
