Multiscale Analysis and Optimisation of Photosynthetic Solar Energy Systems

TL;DR

This paper introduces a multiscale analysis framework using hierarchy theory to optimize photosynthetic systems for sustainable energy, revealing new insights into their structure-function relationships and enabling in silico modeling.

Contribution

It presents a novel multiscale analysis and optimization approach based on hierarchy theory for photosynthetic energy systems, improving understanding of their complex interactions.

Findings

Hierarchy theory provides better handling of multiscale complexities.

Insights into relationships between composition, structure, and energetics.

Platform for in silico modeling of optimal photosynthetic systems.

Abstract

This work asks how light harvesting in photosynthetic systems can be optimised for economically scalable, sustainable energy production. Hierarchy theory is introduced as a system-analysis and optimisation tool better able to handle multiscale, multiprocess complexities in photosynthetic energetics compared with standard linear-process analysis. Within this framework, new insights are given into relationships between composition, structure and energetics at the scale of the thylakoid membrane, and also into how components at different scales cooperate under functional objectives of the whole photosynthetic system. Combining these reductionistic and holistic analyses creates a platform for modelling multiscale-optimal, idealised photosynthetic systems in silico.