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The following are the algorithms that FRESA uses to pre-screen, listed in alphabetical order. They are
correlations between the primary variable or variables influencing cost effectiveness with assumptions
for typical values for other parameters that appear to have a second order impact on cost effectiveness.
Biomass Fuel
CRITERIA
FEASIBILITY
Distance to Biomass Source < 10 and
Number of Months Biomass Available > 5
YES
For All Cases Not Listed
MAYBE
Distance to Biomass Source > 5
or
Number of Months Biomass Available < 3
NO
Geothermal Heat Pump
CRITERIA
FEASIBILITY
Electricity Used to Heat/Cool and
(electricity cost * 292/ fuel cost) > 3 and
2.5 > (ha78/HDD) > 0.5
or
Electricity is not used to Heat/Cool and
(cost of fuel) > 3.5 and
(electricity cost * 292/ fuel cost) > 3
YES
For All Cases Not Listed
MAYBE
Electricity used to Heat/Cool and
(electricity cost * 292/ fuel cost) > 2
or
Electricity is not used to Heat/Cool and
(electricity cost * 292/ fuel cost) < 2
Where HDD is the heating degree days
ha78 is the number hours above 780F
NO
Infiltration Control
CRITERIA
FEASIBILITY
HDD * (cost of fuel) > 26,395
YES
For All Cases Not Listed
MAYBE
HDD * (cost of fuel) < 8,200
Where HDD is the heating degree days
44
NO