Migo-Sumagang et al. (2023): Optimization and decision support models for deploying negative emissions technologies
Maria Victoria Migo-Sumagang, Kathleen B. Aviso, Dominic C. Y. Foo, Michael Short, Purusothmn Nair S. Bhasker Nair, Raymond R. Tan IN: PLOS Sustainability and Transformation, https://doi.org/10.1371/journal.pstr.0000059
This paper reviews the literature and maps the role of PI in NETs deployment. Techniques such as mathematical programming, pinch analysis (PA), process graphs (P-graphs), are powerful methods for planning NET systems under resource or footprint constraints. Other methods such as multi-criteria decision analysis (MCDA), marginal abatement cost curves, causality maps, and machine learning (ML) are also discussed. Current literature focuses mainly on bioenergy with carbon capture and storage (BECCS) and afforestation/reforestation (AR), but other NETs need to be integrated into future models for large-scale decarbonization.