Bioenergy market competition for biomass: A system dynamics review of current policies
There is growing interest in the United States and abroad to increase the use of biomass as an energy source due to environmental and energy security benefits. In the United States, the biofuel and biopower industries are regulated by different policies and different agencies and have different drivers, which impact the maximum price the industries are willing to pay for biomass. This article describes a dynamic computer simulation model that analyzes future behavior of bioenergy feedstock markets based on varying policy and technical options. The model simulates the long-term dynamics of these markets by treating advanced biomass feedstocks as a commodity and projecting the total demand of each industry, as well as the market price over time. The model is used for an analysis of the United States bioenergy feedstock market that projects supply, demand, and market price given three independent buyers: domestic biopower, domestic biofuels, and foreign exports. With base-case assumptions, the biofuels industry is able to dominate the market and meet the federal Renewable Fuel Standard (RFS) targets for advanced biofuels. Further analyses suggest that United States bioenergy studies should include estimates of export demand for biomass in their projections, and that GHG-limiting policy would partially shield both industries from export dominance.
- Research Organization:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- DOE - EE
- DOE Contract Number:
- DE-AC07-05ID14517
- OSTI ID:
- 1097191
- Report Number(s):
- INL/CON-13-28535
- Resource Relation:
- Conference: 2013 International System Dynamics Conference,Boston Ma,07/21/2013,07/25/2013
- Country of Publication:
- United States
- Language:
- English
Similar Records
Decarbonization Scenarios in the United States: Comparing Biofuels Growth in Two Models - GCAM and BSM
Deep decarbonization and U.S. biofuels production: a coordinated analysis with a detailed structural model and an integrated multisectoral model