A recent study published in the “International Journal of Renewable Energy Development” introduces an innovative framework for planning the capacity of grid-connected nanogrids—small solar and energy storage systems that can deliver kilowatt-level services to individual buildings. The research, led by Ahmad El Sayed from the Department of Electrical and Electronics Engineering at Ozyegin University in Turkey, aims to enhance the effectiveness, sustainability, and reliability of these systems through a comprehensive techno-enviro-economic assessment.
Traditional methods of planning nanogrids often focus on peak load requirements, which can lead to inefficiencies since peak loads occur infrequently. On the other hand, solely optimizing for base load requirements might compromise the system’s reliability and sustainability. To address these challenges, El Sayed’s framework employs a three-step integrated process. The first step, the Planner module, identifies optimal asset sizing based on a two-day look-ahead logic. Next, the Operator module acts as a digital twin, performing hourly calculations over a short-term horizon. Finally, the Evaluator module assesses technical, environmental, and economic metrics for each proposed solution, allowing for informed decision-making.
The framework’s effectiveness was demonstrated through a simulated case study, which revealed that a photovoltaic (PV) size of 24 kW coupled with a storage capacity of 91 kWh provided the most reliable solution, achieving a local sufficiency probability of 95 percent. Additionally, the environmental assessment indicated a renewable fraction of 94% with a PV size of 26 kW and a storage capacity of 85 kWh. Economically, the analysis identified that a PV size of 12 kW and a storage size of 24 kWh resulted in the lowest total costs, while a larger PV size of 26 kW combined with an 85 kWh storage system generated total operating savings of $4,801.
This research presents significant commercial opportunities, particularly for sectors involved in renewable energy, smart grid technology, and energy management systems. By optimizing nanogrid capacity planning, businesses can reduce operational costs and enhance the reliability of energy supply, making them more attractive to consumers and investors alike. As the demand for sustainable energy solutions continues to rise, frameworks like this can facilitate the adoption of nanogrids, ultimately contributing to a more resilient and efficient energy landscape.
El Sayed emphasizes the importance of this integrated approach, stating, “Our framework allows for a more nuanced understanding of the trade-offs involved in nanogrid capacity planning.” This holistic assessment could pave the way for more effective and sustainable energy solutions in the future.
