What is it about?
In this article, we show how we used a nature-inspired algorithm to optimise the way electricity is generated in distributed systems, such as small plants or microgrids. Through simulations, we were able to find configurations that enable energy to be produced more efficiently, using less fuel and reducing pollutant emissions. Our aim was to demonstrate that this type of tool can help plan and improve energy projects, especially in places where there is a need to balance cost, efficiency, and environmental care.
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Why is it important?
This research is important because it demonstrates how advanced computational tools can be used to make energy generation cleaner, more efficient, and more cost effective. What makes it unique is the application of a bio-inspired algorithm mimicking patterns found in nature to optimise distributed power generation systems in a way that balances performance, fuel consumption, and environmental impact. By combining simulation with intelligent optimisation, this work offers a practical and adaptable approach that can guide decision-making in both large-scale projects and smaller, local energy systems, helping to accelerate the transition towards more sustainable power generation.
Perspectives
Writing this article was a truly exciting process because it allowed us to explore how inspiration from nature can lead to smarter and cleaner energy solutions. Collaborating with my co-authors to adapt a bio-inspired algorithm for real-world energy systems showed me the power of combining creativity, computational tools, and environmental responsibility. For me, the most rewarding part was seeing how a concept that might sound abstract at first could deliver concrete results reducing fuel use, lowering emissions, and improving efficiency. I hope this work encourages others to embrace innovative approaches that blend science, technology, and sustainability.
Dr. Ramon Fernando Colmenares Quintero
Fundación Berstic and Universidad Cooperativa de Colombia
Read the Original
This page is a summary of: Application of a simulation tool based on a bio-inspired algorithm for optimisation of distributed power generation systems, Cogent Engineering, January 2021, Taylor & Francis,
DOI: 10.1080/23311916.2021.1909791.
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