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Biomass Feasibility Project Final Report - Xcel Energy

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Manures<br />

Variability. Depending on their species, housing systems, diets, and digestions, livestock produce<br />

manures that contain different moisture levels and BTU densities. Beyond that inherent<br />

variability, certain amendments like rinse water, wood shavings, straw, and corn stover that are<br />

added to manure for easier handing or livestock comfort, introduce further inconsistencies.<br />

Limited data. Calculating manures for BioPET from available data can be a challenge. The<br />

starting point is the NASS database of Minnesota livestock production numbers by county, but<br />

limitations in those data force us to derive figures from other clues as well. For example, since<br />

NASS doesn’t track all animal species found on farms, we model numbers and sizes of animals<br />

based on our knowledge of the way livestock are raised. Since NASS takes inventories of various<br />

species of livestock at various times of the year, the data do not provide a snapshot. Some data<br />

are not reported at all because of privacy.<br />

Inferences. We have to infer the number of livestock on farms in each county from no less than<br />

sixty columns of figures on thirty-five classes of livestock raised or fed in Minnesota. In some cases<br />

we base our categories on amounts of corn, soybean meal, and oats consumed by those thirtyfive<br />

animal classes. In other cases we base estimates on the number of days in a year that a<br />

particular class of animal is alive on a Minnesota farm to eat feed and excrete manure. We<br />

gather estimates of days on feed from published budgets and from University of Minnesota<br />

animal scientists who have specific information on livestock. We assume that some classes of<br />

livestock, like dairy cows, are alive 365 days a year, while others, like broilers, live just 56 days. We<br />

calculate pounds of manure excreted daily for each class of livestock on a wet basis and a dry<br />

basis. Excreted manure of poultry tends to be 25% total solids, while swine manure tends to be<br />

10% total solids (MWPS, 2004).<br />

Our numbers for animals of a particular class reflect either NASS data or estimates by the project<br />

team. The number of animals in each county is derived from the various crop reporting districts<br />

of the state. <strong>Final</strong> values show the number of tons of manure annually produced by the classes<br />

of livestock in each county. We show estimates for both wet and dry tons in order to help the<br />

developer assess transportation costs and calculate BTUs on a dry-ton basis.<br />

The Conservation Reserve Program (CRP)<br />

The federal Conservation Reserve Program (CRP) pays landowners to convert their cropland to<br />

permanent cover, such as grassland or trees, for a term of ten or fifteen years. Under current<br />

program rules, lands in CRP cannot be harvested. But if that policy changes, they could grow<br />

biomass for energy.<br />

We calculate potential energy contents of these lands by first aggregating all 25 official cover<br />

types (warm season grass, wetlands, wildlife plots, cool season grass, etc.) into the three main<br />

categories of grass, trees, and other, and then applying a common yield estimate for each of<br />

these broad categories. For grasses, we estimate 2.2 tons per acre per year based on the<br />

research of Tilman, Reich, Knops, Wedin, Mielke, and Lehman, 2001. For brushland, we settle on<br />

1 ton per acre per year based on a low-yield estimate in the forest softwood feedstock<br />

calculations. We then calculate the energy content of each broad category using the<br />

parameters mentioned previously.<br />

Identifying Effective <strong>Biomass</strong> Strategies: Page 27<br />

Quantifying Minnesota’s Resources and Evaluating Future Opportunities

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