The Effect of Feedstock Composition on Fast Pyrolysis and Upgrading to Transportation Fuels: Techno-Economic Analysis and Greenhouse Gas Life Cycle Analysis
Process economics and greenhouse gas (GHG) emissions are evaluated for the conversion of eleven (11) biomass feedstocks to produce transportation fuels via fast pyrolysis and then pyrolysis oil upgrading via hydrodeoxygenation. The biomass consists of six (6) pure feeds (pine, tulip poplar, hybrid poplar, switchgrass, corn stover, oriented strand board) and five (5) blends. Feedstock blends combine pine, tulip poplar, hybrid poplar, switchgrass, and oriented strand board in various ratios. The assumptions used in this analysis are based on a unique experimental data set. They are “field to wheel” data generated from a multistep experiment that started from biomass preparation and was followed by biomass feedstock conversion to pyrolysis oil, and then finished by pyrolysis oil upgrading to produce hydrocarbon liquid fuel. Process economic results are reported in US dollars per gasoline gallon equivalent (gge) of minimum fuel selling price (MFSP). For all eleven feedstocks, the largest cost contribution to MFSP is capital-related cost, which is approximately 30%–40% of MFSP and includes capital depreciation, income tax, and return on investment. Feedstock cost (approximately 30% of MFSP), hydrotreating catalyst cost (13%–18% of MFSP) and labor cost (12%–15% of MFSP) also contribute significant cost to MFSP. Final fuel product yield is one of the most significant parameters affecting the process economics. The highest product yield is from pine feedstock, while switchgrass feedstock gives the lowest yield. Using blends (woody mixed with herbaceous), with which the product yield is still reasonable, may further improve process economics compared to pure feedstocks because of the lower feedstock price for blends. Blend feedstock costs less than pure feedstock because of greater diversity in feedstock choices, lower risk, and lower transportation costs. GHG reduction does not necessarily align with favorable economics. Process parameters that most significantly affect the life cycle GHG emissions (from feedstock production to vehicle operation) are (1) natural gas used for hydrogen production and electricity usage in fast pyrolysis and pyrolysis oil upgrading, (2) energy usage in the feedstock harvesting, transport, and preprocessing operations, and (3) nitrogen fertilizer usage for growing biomass.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1577073
- Report Number(s):
- PNNL-SA-141518
- Journal Information:
- Fuel, Vol. 259
- Country of Publication:
- United States
- Language:
- English
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