how to select communities for biomass power development
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How to Select Communities for Biomass Power Development. By Alan W. Hodges University of Florida. Woody Biomass Outreach Training September 11-12, 2007. Basic Steps for Selecting Communities Identifying socioeconomic data sources available Evaluating local energy demand - PowerPoint PPT PresentationTRANSCRIPT
How to Select Communities for Biomass Power Development
By Alan W. Hodges
University of Florida
Woody Biomass Outreach TrainingSeptember 11-12, 2007
Basic Steps for Selecting Communities
• Identifying socioeconomic data sources available
• Evaluating local energy demand
• Selecting indicators for suitability
• Conducting a community screening
• Ground truthing
• Final selection of target market(s)
Woody Biomass Outreach TrainingSeptember 11-12, 2007
Criteria for Screening of Woody Biomass Power Development Potential in Southern
U.S. Counties
• Forest Biomass Available, 5+ cm dia., incl. stumps, tops, unreserved forests (tons/ha, tons/capita)
• Urban wood waste generation (tons/capita, 7 states)
• Population Density (persons/sq.mi.)
• Population Growth 1990-2000
• Personal Income ($/capita)
• Income Growth 1990-2000 (%)
• Land area in wildland-urban interface/intermix (%)
• Electric Power Generation (2004): Total, Natural Gas and Biomass-Fueled (MWhr)
Woody Biomass Outreach TrainingSeptember 11-12, 2007
Total Forest Volume Per HectareSource: USFS-FIA
Population Change (1990-2000)Source: US Census Bureau
Personal Income Per Capita (2002)Source: Bureau of Economic Analysis
Southern Region Wildland Urban Interface (2000)Source: Univ. Wisconsin, USFS-NCFES
Suitability Index for Biomass Power
SI = FBPH * [ PD + PG + IPC + IC + WUI + EGPC + WGPC]
Where…SI: Overall Suitability Index
FBPH Forest Biomass Per Hectare
PD Population Density
PG Population Growth
IPC Personal Income Per Capita
IC Personal Income Change
WUI Share of Area in Wildland-Urban Interface/Intermix
EGPC Electric Power Generation per Capita
WGPC Urban Woody Waste Generation Per Capita
Independent variables are expressed as rank scores (percent of maximum value)
Woody Biomass Outreach TrainingSeptember 11-12, 2007
Selected Counties for Community Case Studies
State,County
Area (sq.mi.)
Population 2003
Pop. Chag Rank
Pop. Dens. Rank
Pers. Income
Per Capita Rank
Personal Income Change
Rank
Forest Biomass
Per Capita Rank
Forest Biomass Per Ha Rank
Share Interface /Intermix
Rank
Power Gen. Per
Capita Rank
Overall Suitabil. Ranking
AL Shelby 798 159,445 0.950 0.845 0.976 0.988 0.354 0.746 0.871 0.927 4.146
AL Lee 600 119,561 0.889 0.844 0.439 0.797 0.380 0.680 0.839 0.871 3.182
AR Saline 737 87,554 0.870 0.758 0.750 0.861 0.618 0.906 0.759 0.004 3.626
AR Union 1,061 44,829 0.110 0.425 0.914 0.192 0.873 0.949 0.428 0.914 2.831
FL Nassau 612 61,625 0.881 0.723 0.948 0.955 0.544 0.671 0.685 0.820 3.714
FL Leon 704 242,577 0.886 0.905 0.899 0.888 0.279 0.584 0.781 0.777 3.530
FL Santa Rosa 1,045 133,092 0.949 0.772 0.742 0.940 0.449 0.595 0.673 0.748 3.407
FL Clay 652 157,502 0.899 0.867 0.857 0.972 0.318 0.589 0.794 0.004 2.834
GA Douglas 200 102,015 0.862 0.926 0.827 0.947 0.294 0.920 0.988 0.004 4.190
GA Murray 355 39,446 0.937 0.743 0.319 0.901 0.554 0.898 0.797 0.908 4.135
KY Laurel 447 55,488 0.755 0.769 0.327 0.850 0.546 0.909 0.907 0.764 4.388
KY Trimble 152 8,759 0.905 0.546 0.058 0.360 0.754 0.879 0.833 0.987 3.621
LA Livingston 681 102,046 0.872 0.802 0.426 0.891 0.503 0.896 0.883 0.004 3.475
MS De Soto 499 124,378 0.981 0.872 0.878 0.963 0.308 0.548 0.548 0.788 3.270
NC Orange 400 118,183 0.824 0.889 0.970 0.861 0.372 0.911 0.991 0.753 5.616
NC Buncombe 653 212,672 0.695 0.899 0.879 0.576 0.377 0.953 0.972 0.824 5.336
OK Le Flore 1,639 48,896 0.491 0.283 0.252 0.603 0.775 0.538 0.243 0.901 1.492
SC Oconee 683 68,523 0.610 0.722 0.780 0.709 0.495 0.692 0.869 0.969 3.787
TN Sevier 605 75,503 0.937 0.769 0.746 0.927 0.454 0.913 0.906 0.797 5.335
TN Blount 569 111,510 0.782 0.842 0.791 0.709 0.374 0.870 0.790 0.785 4.581
TN Anderson 342 71,904 0.256 0.852 0.873 0.328 0.473 0.971 0.917 0.928 4.555
TX Montgomery 1,106 344,700 0.985 0.894 0.961 0.993 0.321 0.791 0.920 0.785 4.381
VA Chesterfield 437 276,840 0.793 0.939 0.972 0.947 0.262 0.881 0.944 0.879 4.823
VA Fluvanna 288 23,078 0.986 0.649 0.686 0.940 0.633 0.826 0.828 0.916 4.134
Characteristics of Counties Selected for Case Studies
Questions, concerns, or ideas?
Woody Biomass Outreach TrainingSeptember 11-12, 2007