Energy 2050: Bio-inspired Renewable Non-Fossil Liquid Fuel

Abstract

We propose an intelligent Energy Transparency model and a bio-inspired hypothetical mechanical mitochondria to optimize energy efficiency. iET seeks learning algorithms to build intelligence in order to pursue carbon-based savings. Unlike inGrid and its long term impact, an intelligent Energy Transparency (iET) portal may yield value within a short term. Profits from energy efficiency may not materialize without implementing the tools. Without quantitative analysis, policy provides poor guidance. With the help of analytics, policy issues may be formalized and aid the development of future intelligent systems. Development of data driven decision criteria and tools to interface with inGrid may in turn influence the evolution of the mitochondria. Building artificial neural networks (ANN) based tools may empower iET mediated pattern analysis for decision support. Non-vegetation related manufacture of glucose may emerge as a lucrative future line of business with further advances in metabolic engineering [18]. Nano chloroplast aided glucose-on-a-chip production may change the physical state of electricity from solar energy to the chemical state (chemical bonds). It may enable storage and transmission with minimal loss. This bio-inspired in vitro photosynthetic nano-chip may emerge as a disruptive innovation in solar energy capture and distribution. Hence, glucose, in some form or the other, may be essential as a carbon source for metabolically bio-engineered bacteria to produce non-fossil renewable liquid fuel for the future as we approach the fossil fuel depleted post-2050 era.