TY - JOUR
T1 - Best options for large-scale production of liquid biofuels by value chain modelling: A New Zealand case study
AU - Suckling, Ian D.
AU - de Miguel Mercader, Ferran
AU - Monge, Juan J.
AU - Wakelin, Steve J.
AU - Hall, Peter W.
AU - Bennett, Paul J.
AU - Hock, Barbara
AU - Samsatli, Nouri J.
AU - Samsatli, Sheila
AU - Fahmy, Muthasim
N1 - Funding Information:
This work was supported by the New Zealand Ministry of Business, Innovation and Employment via Scion’s Strategic Science Investment Fund funding (C04X1703). Modelling was based on the Energy Technologies Institute’s Bioenergy Value Chain Model (BVCM). This work was carried out as part of the New Zealand Biofuels Roadmap project. We acknowledge the invaluable input from the multiple New Zealand stakeholders involved in this project.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Biofuels are a promising low-carbon replacement for fossil fuels in the transport sector. However, how should a country without an existing biofuel industry, such as New Zealand, go about implementing large-scale production and use of biofuels? We used value chain modelling and optimisation to identify lowest-cost options to replace existing liquid fossil fuels used in New Zealand, and how to make the transition. Multiple scenarios, e.g. 5 - 50% biofuel substitution, different land use assumptions, were examined. Novel features were added to the Biomass Value Chain Model to consider the impacts of land quality on biomass production, land use competition, existing and new plantation forests, and replacements for multiple liquid fossil fuels used. Credible routes exist for large-scale biofuel production in New Zealand, which could contribute significantly to meeting its GHG reduction targets. Key results include (i) Lowest cost substitution of 30% of fossil fuel use by 2050 reduced GHG emissions by 80% at a levelized cost within the range of prices seen for imported fossil petrol and diesel over the last 10 years; (ii) Drop-in biofuels from non-food feedstocks, particularly forestry on non-arable land, are the most attractive in the long term; and (iii) Pyrolysis plus upgrading of lignocellulosic feedstocks and biodiesel from canola were amongst the lowest-cost conversion options. The most important contributors to the cost are the: conversion process capital and operating costs, delivered cost of feedstock(s) suitable for each process, conversion yields, and options for co-product sales and distributed processing. Land use decisions, conditioned by land prices, affected the preferred feedstocks, but also where biomass was grown and converted into fuels, fuel costs, and GHG reductions. Conversion plant locations were driven by feedstock availability and costs through time and existing infrastructure.
AB - Biofuels are a promising low-carbon replacement for fossil fuels in the transport sector. However, how should a country without an existing biofuel industry, such as New Zealand, go about implementing large-scale production and use of biofuels? We used value chain modelling and optimisation to identify lowest-cost options to replace existing liquid fossil fuels used in New Zealand, and how to make the transition. Multiple scenarios, e.g. 5 - 50% biofuel substitution, different land use assumptions, were examined. Novel features were added to the Biomass Value Chain Model to consider the impacts of land quality on biomass production, land use competition, existing and new plantation forests, and replacements for multiple liquid fossil fuels used. Credible routes exist for large-scale biofuel production in New Zealand, which could contribute significantly to meeting its GHG reduction targets. Key results include (i) Lowest cost substitution of 30% of fossil fuel use by 2050 reduced GHG emissions by 80% at a levelized cost within the range of prices seen for imported fossil petrol and diesel over the last 10 years; (ii) Drop-in biofuels from non-food feedstocks, particularly forestry on non-arable land, are the most attractive in the long term; and (iii) Pyrolysis plus upgrading of lignocellulosic feedstocks and biodiesel from canola were amongst the lowest-cost conversion options. The most important contributors to the cost are the: conversion process capital and operating costs, delivered cost of feedstock(s) suitable for each process, conversion yields, and options for co-product sales and distributed processing. Land use decisions, conditioned by land prices, affected the preferred feedstocks, but also where biomass was grown and converted into fuels, fuel costs, and GHG reductions. Conversion plant locations were driven by feedstock availability and costs through time and existing infrastructure.
KW - Biofuel value chains
KW - Land use
KW - Optimisation
KW - Plantation forests
KW - Scenario modelling
UR - http://www.scopus.com/inward/record.url?scp=85133907484&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2022.119534
DO - 10.1016/j.apenergy.2022.119534
M3 - Article
VL - 323
JO - Applied Energy
JF - Applied Energy
SN - 0306-2619
M1 - 119534
ER -