The Bioenergy KDF is designed to house an array of specialized tools, applications, and models related to bioenergy. Browse the current collection of tools and apps below, click on the "View Details" links to learn more, share the resources with others via email or social networking sites, and select the “Launch to Map” options to activate the tools and analyze geospatial data. All tools and apps are sorted by date, starting with the most recently deployed. Follow us on Facebook and Twitter (@BionergyKDF) to learn of new tools as they become available.

We incorporated the Shuffled Complex Evolution (SCE) algorithm (Duan et al., 1992) into the Fortran source code of SWAT2012 model to implement auto-calibration. SCE is a stochastic optimization algorithm that has been widely used in calibration of hydrological models including SWAT (Wang and Xia, 2010). We can calibrate 39 parameters governing the hydrologic (i.e., water quantity) and water quality processes in SWAT. The 39 parameters were selected based on the sensitivity analyses in previous studies.
Fifteen types of calibrations with regard to various response variables were defined in our current auto-calibration tool. The first five types correspond to five hydrologic response variables: daily streamflow, monthly streamflow, daily reservoir storage, daily soil water content, and monthly runoff on subbasin or HUC8; the next five types include monthly nutrient (sediment, nitrogen, phosphorus) fluxes (metric tons per month); and the last five types refer to instream monthly nutrient concentration (mg/L). Other response variables could also be defined and added to this calibration framework.

References:
Duan, Q. Y.; Sorooshian, S.; Gupta, V., Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research 1992, 28, (4), 1015-1031.
Wang, G.; Xia, J., Improvement of SWAT2000 modelling to assess the impact of dams and sluices on streamflow in the Huai River basin of China. Hydrological Processes 2010, 24, (11), 1455-1471.

SWATopt Repository:
https://github.com/wanggangsheng/SWATopt.git

Tags: SWAT Auto-Calibration

The 2016 Billion-Ton Report: Advancing Domestic Resources for a Thriving Bioeconomy is the third in a series of national biomass resource assessments commissioned by the U.S. Department of Energy. This report aims to inform national bioenergy policies and research, development, and deployment strategies. It is the first volume in a two-volume set. Volume 2 (forthcoming) evaluates the potential environmental sustainability effects of a subset of production scenarios described in Volume 1.

Tags: billion-ton 2016, Billion-Ton Download, polysys, supply

The 2016 Billion-Ton Report: Advancing Domestic Resources for a Thriving Bioeconomy is the third in a series of national biomass resource assessments commissioned by the U.S. Department of Energy. This report aims to inform national bioenergy policies and research, development, and deployment strategies. It is the first volume in a two-volume set. Volume 2 (forthcoming) evaluates the potential environmental sustainability effects of a subset of production scenarios described in Volume 1.

Tags: billion-ton 2016, billion-ton, polysys, supply

Biopower model: http://www.nrel.gov/analysis/jedi/cfm/register.cfm?model=01D_JEDI_Biopow...

Cellulosic model: http://www.nrel.gov/analysis/jedi/cfm/register.cfm?model=01D_JEDI_Cellul...

Corn ethanol model: http://www.nrel.gov/analysis/jedi/cfm/register.cfm?model=01D_JEDI_Corn_E...

Petroleum model: http://www.nrel.gov/analysis/jedi/cfm/register.cfm?model=01D_JEDI_Petrol...

Or to view the list of all JEDI models, visit: http://www.nrel.gov/analysis/jedi/download.html

About JEDI Models:

The Jobs and Economic Development Impact (JEDI) models are user-friendly screening tools that estimate the economic impacts of constructing and operating power plants, fuel production facilities, and other projects at the local (usually state) level. JEDI results are intended to be estimates, not precise predictions. Based on user-entered project-specific data or default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area that can reasonably be supported by a power plant, fuel production facility, or other project. For example, JEDI estimates the number of in-state construction jobs from a new wind farm. Jobs, earnings, and output are distributed across three categories: Project Development and Onsite Labor Impacts Local Revenue and Supply Chain Impacts Induced Impacts JEDI model defaults are based on interviews with industry experts and project developers. Economic multipliers contained within the model are derived from Minnesota IMPLAN Group's IMPLAN accounting software and state data files.

For more details, visit : http://www.nrel.gov/analysis/jedi/about_jedi.html

Tags: economic, JEDI, indicators

This tool is based off of the Biomass Scenario Model, a system dynamics model developed at the National Renewable Energy Laboratory (NREL) to explore the potential contribution of biofuel technologies to the transportation energy supply for the United States. While the BSM Tool on the KDF does not offer the full capabilities of the NREL model, it does allow users to explore the impacts of different policy scenarios on future biomass feedstock and bioenergy production

Tags: bsm, biomass, scenario, model

WATER is a spatial-explicit online tool that assesses water resource use and water quality across the fuel production stages by quantifying water footprint of fuels through feedstock production to conversion process. It is an interactive and visual tool that provides analysis of water consumption and its impact on water quality at county, state, and regional resolutions. The model currently contains biofuels produced from corn grain, corn stover, soybean, wheat straw, switchgrass, miscanthus, and forest wood via biochemical and thermochemical conversion processes under historical and future scenarios for the United States. WATER adopts a water footprint methodology and contains extensive climate, land use, water use data. The model provides estimate of blue, green, and grey water in various production stages for a production pathway in a given location. Outputs of the model allow comparison and identify water sustainable production scenarios. WATER is developed to support decision makers and policy makers to address water sustainability issues associated with the bioenergy development.

Tags: water, analysis

The report, Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion Ton Annual Supply (generally referred to as the Billion-Ton Study or 2005 BTS), was an estimate of “potential” biomass within the contiguous United States based on numerous assumptions about current and future inventory production capacity, availability, and technology. The follow-up report, Biomass as Feedstock for a Bioenergy and Bioproducts Industry: An Update to the Billion Ton Annual Supply (generally referred to as the 2011 BTS or BT2), expands on the 2005 BTS to include:A spatial, county-by-county inventory of primary feedstocks, price and available quantities (e.g., supply curves) for the individual feedstocks. A more rigorous treatment and modeling of resource sustainability. The 2011 Billion Ton Study Data Explorer makes available the results of biomass supply analyses described in the 2011 BTS. Projected biomass supplies can be explored by resource type as modeled by feedstock price or yield scenario.

Tags: billion ton study, bts, biomass, bt2

The Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply (generally referred to as the Billion-Ton Study or 2005 BTS), was an estimate of potential biomass available within the contiguous United States based on assumptions about current and future inventory production capacity, availability, and technology. This follow-up report, U.S. Billion-Ton Update: Biomass Supply for a Bioenergy and Bioproducts Industry (generally referred to as the 2011 BT2), expands on the 2005 BTS to include spatial, county-by-county inventory of potentially available primary feedstocks,price and available quantities (e.g., supply curves) for the individual feedstocks, and amore rigorous treatment and modeling of resource sustainability. This tool allows the user to download BT2 data for selected years, scenarios, crops, and all available prices. The spreadsheet results will display one sheet for each desired resource along with a summary page of the download criteria

Tags: Billion-Ton Download, bt2