Einsteinian lens: Unraveling energy to GHG conversion in optimized distributed energy systems

This article systematically examines renewable energy (RE) applications, develops a related theoretical framework, and proposes design optimization and power management methods to enhance energy quality and reduce carbon emissions. A comprehensive mathematical model, called the PECODER system, is constructed to leverage clean energy resources and advance carbon neutrality. The research explores carbon emission management, optimized through strategic algorithms while ensuring economic viability. The results reveal significant emission reductions with positive economic implications, though further research is needed to refine load consumption parameters and control mechanisms to fully realize carbon peaking and carbon neutrality. The case study highlights the multiple advantages of a typical PECODER system, showcasing its ability to meet energy load consumption, reduce carbon emissions, and deliver strong economic benefits. Specifically, the system achieves a remarkable 80% reduction in carbon emissions while simultaneously significantly cutting costs. These findings underscore the potential of PECODER as an efficient and sustainable power solution for both environmental and economic needs towards the carbon emissions reduction. This article investigates a mathematical model that features a critical 3 × 3 square matrix, known as the power utility matrix (PUM). Through experiments and model simulations, case studies explored a smart distributed energy system using input variables such as solar power, wind power, energy storage, and grid power. The model processes three inputs, generates three outputs aligned with its user interface, and incorporates the 3 × 3 PUM between them. The outputs include power, greenhouse gas emissions, and energy costs. This universal model proves effective in controlling carbon emissions and optimizing energy production at the system level. The research highlights a significant outcome: the energy matter conversion ratio (EMCR) that is a key metric to quantify the relationship between energy generation and GHG emissions and that offers valuable insights for both optimizing energy systems and advancing carbon neutrality goals.