Work

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

Year: 2025

Type: article

Abstract: ABSTRACT 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.

Source: Carbon Neutral Technologies

DOI: 10.1016/j.cnt.2025.100003

Author: A.J. Jin

Institutions: Chongqing University, Huaneng Clean Energy Research Institute, China Huaneng Group Co., Ltd. (China)

Language: English

Topic: Renewable energy and sustainable power systems

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: hybrid

Estimated APC paid: $2,200