In a doctoral dissertation completed at the University of British Columbia, author Kimiya Rahmani Mokarrari investigated how different public programs and real-world unpredictability influence the financial and environmental performance of forest residue networks. The research explicitly focused on the Williams Lake Timber Supply Area in British Columbia, Canada, a region with an economy deeply tied to the forestry sector. By designing mathematical optimization frameworks, the study mapped out how different raw materials could be collected from harvesting blocks and distributed to regional bioproduct facilities rather than being burned in roadside piles. This integrated supply chain perspective addresses the core economic barriers facing the modern bioeconomy, providing clear guidance on how public resources can be deployed to make renewable bioproducts cost-competitive.

The quantitative findings reveal that applying separate, isolated programs provides only modest benefits, whereas a simultaneous combination of all policy tools completely reshapes the industrial landscape. When operating under a baseline with no supportive policies, the supply chain model establishes 10 facilities and generates a net present value of 29 million dollars over a 20-year timeline. Introducing individual policies like feedstockFeedstock refers to the raw organic material used to produce biochar. This can include a wide range of materials, such as wood chips, agricultural residues, and animal manure. More subsidies or accelerated tax depreciation provides minor financial improvements, bumping the total values up to 33.7 million dollars and 29.1 million dollars respectively. However, when capital investment incentives, feedstock subsidies, depreciation allowances, and carbon pricing systems are enacted at the same time, the network expands significantly to 16 facilities, driving the total net present value up to 44 million dollars.

The study further documents a powerful environmental trade-off, showing that substantial pollution reductions can be achieved with surprisingly small economic sacrifices. In bi-objective models balancing economic returns against environmental impact, a 47 percent reduction in greenhouse gas emissions corresponds to only a 4.1 percent decrease in total net present value under the comprehensive policy framework. This occurs because the optimization algorithms selectively eliminate or downscale high-emission processes, such as activated carbonActivated carbon is a form of carbon that has been processed to create a vast network of tiny pores, increasing its surface area significantly. This extensive surface area makes activated carbon exceptionally effective at trapping and holding impurities, like a molecular sponge. It is commonly More manufacturing, while preserving highly efficient pathways like wood pellet production. This specific dynamic proves that forward-looking industrial networks can achieve aggressive climate targets without completely undermining their financial baseline.

However, the research notes that transitioning from a perfectly predictable model to one that accounts for real-world market and policy fluctuations fundamentally shifts the optimal design strategy. When factoring in natural variations for operational costs, biomassBiomass is a complex biological organic or non-organic solid product derived from living or recently living organism and available naturally. Various types of wastes such as animal manure, waste paper, sludge and many industrial wastes are also treated as biomass because like natural biomass these More demand, and shifting carbon taxes through specialized math programming, the resulting networks become noticeably smaller and more conservative. Under high-uncertainty conditions where parameters are pushed to their worst-case limits, the recommended plan scales down from 16 facilities to just eight, causing a 43 percent drop in net present value compared to the perfectly predictable scenario. While this risk-aware planning approach limits maximum profit margins, it prevents overbuilding and ensures that the entire physical supply network remains fully viable and compliant under erratic market conditions.

Ultimately, the results demonstrate that public financial support is vital for transforming forest residues into high-value advanced materials like nanocellulose or biocharBiochar is a carbon-rich material created from biomass decomposition in low-oxygen conditions. It has important applications in environmental remediation, soil improvement, agriculture, carbon sequestration, energy storage, and sustainable materials, promoting efficiency and reducing waste in various contexts while addressing climate change challenges. More. Upfront capital grants cover massive initial construction expenses, which represents the single largest risk factor for regional bioeconomy investors. At the same time, carbon pricing frameworks penalize heavy polluters while rewarding clean practices, steering the industrial layout toward sustainable choices. By successfully aligning corporate logistics with regional environmental targets, this modeling framework provides a clear blueprint for reducing the five million tonnes of annual carbon emissions caused by slash burning in British Columbia. The final data highlights that while the financial returns for independent bioproduction units remain structurally limited, coordinated government intervention can secure both green jobs and long-term climate benefits.

Source: Rahmani Mokarrari, K. (2026). Forest-based biomass supply chain planning considering uncertainties and governmental policies (Doctoral dissertation, University of British Columbia, Vancouver, Canada). Retrieved from UBC Faculty of Graduate and Postdoctoral Studies.