Work

Algebraic and automated targeting for inter-region problems in terrestrial carbon management network

Year: 2026

Type: article

Abstract: Climate change mitigation is a global challenge. Negative emission technologies (NETs) such as enhanced weathering (EW) are among the promising emerging techniques for CO2 capture. However, the optimal deployment of EW requires systematic planning tools. In this work, novel algebraic and automated targeting techniques are presented to locate the external outsourced capacity of the EW network. The results of the algebraic and automated targeting techniques may be plotted as the grand composite curve, which has a good visual interface that facilitates planning and discussion. Two examples involving single and multiple regions are solved to elucidate the newly extended methods. When EW sources are integrated across different regions, excess capacity of the EW regions is better utilised, which allows a greater extent of CO2 capture.

Source: Carbon Footprints

DOI: 10.20517/cf.2026.18

Authors: Dominic C. Y. Foo, Zhe Tao Woon, Jie Shan Wong, Yin Ling Tan

Institutions: University of Nottingham Malaysia Campus, University of Nottingham

Language: English

Topic: Process Optimization and Integration

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7214065123