A key advantage of using microalgae for biofuel production is the ability of some algal strains to thrive in waters unsuitable for conventional crop irrigation such as saline groundwater or seawater. Nonetheless, the availability of sustainable water supplies will provide significant challenges for scale-up and development of algal biofuels. We conduct a partial techno-economic assessment based on the availability of freshwater, saline groundwater, and seawater for use in open pond algae cultivation systems.
We present a system dynamics global LUC model intended to examine LUC attributed to biofuel production. The model has major global land system stocks and flows and can be exercised under different food and biofuel demand assumptions. This model provides insights into the drivers and dynamic interactions of LUC, population, dietary choices, and biofuel policy rather than a precise number generator.
PEATSim (Partial Equilibrium Agricultural Trade Simulation) is a dynamic, partial equilibrium, mathematical-based model that enables users to reach analytical solutions to problems, given a set of parameters, data, and initial
conditions. This theoretical tool developed by ERS incorporates a wide range of domestic and border policies that enables it to estimate the market and trade effects of policy changes on agricultural markets. PEATSim captures
CAPRI is a success story of an economic model developed by European Commission research funds. Operational since almost a decade, it supports decision making related to the Common Agricultural Policy based on sound scientific quantitative analysis. CAPRI is only viable due to its Pan-European network of researchers which based on an open source approach tender together for projects, develop and maintain the model, apply it for policy impact assessment, write scientific publications and consult clients based on its results.
A environmental model for assessing impacts of policy on climate, land and the environment.
The different versions of the CLUE model (CLUE, CLUE-CR, CLUE-s, Dyna-CLUE and CLUE-Scanner) are among the most frequently used land use models globally. Applications range from small regions to entire continents. The CLUE model is a flexible, generic land use modeling framework which allows scale and context specific specification for regional applications.
Large-scale modeling systems have long been viewed as potentially valuable tools for evaluation farm policy. They have received increased attention in recent years, in part because of the added complexity of U.S. farm programs and the fuller integration of the U.S. farm sector with nonfarm sectors and world agricultural commodity markets.
Non-Spatial, multi-market partial Equilibrium model
IBSAL is a dynamic simulation model of the connections existing between feedstock producers, biorefinery locations and the requisite storage and distribution systems. The model is primarily focused on the front end of the biofuels supply chain at the local level. The local data sources that are inputs include field area, dry matter, production equipment, soil and biomass moisture, weather conditions, transportation networks and associated costs. The model was developed at Oak Ridge National Laboratory.
This model can be downloaded from
SABRe-Gen is a privately developed model created by Eskom South Africa to identify current and future biofuels production locations in relation to biomass crop production. The primary focus is actually on the use of biofuels as alternative energy sources for electricity generation, but the basic framework can be adapted for the determination of consumer fuel demand.