Feasibility of satisfying projected biopower demands in support of decarbonization interventions: A spatially-explicit cost optimization model applied to woody biomass in the eastern US
Ashkan Mirzaee,
Ronald Mcgarvey and
Francisco Aguilar
Additional contact information
Ashkan Mirzaee: Mizzou - University of Missouri [Columbia] - University of Missouri System
Ronald Mcgarvey: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique
Francisco Aguilar: SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
Post-Print from HAL
Abstract:
Power generation from biomass (biopower) has experienced substantial growth in the United States. Although renewable and sustainably sourced biopower can reduce the carbon footprint of the electricity sector, there is a scarcity of analyses that simultaneously consider the financial feasibility and sustainability criteria of procured biomass. We developed a spatially-explicit optimization model to minimize the cost of meeting projected biopower demand while ensuring carbon neutrality and biomass sustainability constraints. The optimization model was applied to projected biopower demand scenarios in the eastern US, considering various public policy decarbonization interventions. Modeling woody biomass procured from local forests as the source of biopower was chosen due to its dominant role as a renewable energy source, regional availability, and lower risk of violating carbon neutrality objectives. Initially, we projected the net growth of woody biomass in trees and their carbon pools by 2035, as a function of biopower generation, utilizing data from 2009–2017. Subsequently, forecasted woody biomass and projected biopower demand through 2035 were employed to determine optimal levels of biopower generation and estimate the corresponding resource impacts within procurement forests. The results suggest the potential for substantial increases in sustainable biopower generation in the eastern US. However, the feasibility of this expansion depends on the continued economic viability of biopower generation in the future. It is worth noting that the largest increases, surpassing threefold, in biopower generation over the 2020–2030 decade could potentially compromise the carbon neutrality of locally procured woody biomass.
Keywords: Biopower; Spatial-explicit optimization; Forest; Biomass (search for similar items in EconPapers)
Date: 2024-08
References: Add references at CitEc
Citations:
Published in Energy Economics, 2024, 136, pp.107672. ⟨10.1016/j.eneco.2024.107672⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04834084
DOI: 10.1016/j.eneco.2024.107672
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().