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2014 Orange, Conventional LCA

Stock Calculation View

Stock Budgeting 1 Output Calculator

Introduction
This tool tracks resource stock indicators for output uris. Up to 15 new indicators can be added for each output.

Calculation View Description
210a

Version: 1.9.0

Feedback About carbon/output/2014 Orange, Conventional LCA/2141223454/sb02

Step 1 of 3. Make Selections

Stock Indicators

Indicator 1

Indicator 2

Indicator 3

Indicator 4

Indicator 5

Indicator 6

Indicator 7

Indicator 8

Indicator 9

Indicator 10

Step 2 of 3. Enter Stock Indicators

Relations

Use In Childs?
Overwrite Childs?

More Stock Indicators

Indicator 11

Indicator 12

Indicator 13

Indicator 14

Indicator 15

Step 3 of 3. Save

Method 1. Do you wish to save step 2's calculations? These calculations are viewed by opening this particular calculator addin.

Instructions

Step 1

  • Step 1. Indicators: Enter up to 10 indicators.
  • Step 1. Indicator Name and Description: Name and description for each indicator.
  • Step 1. Indicator Date: Make sure that the benchmark, targets, actual, indicators have distinct dates.
  • Step 1. Distribution Type: The numeric distribution of QT. Refer to the Stock Calculation 1 reference.
  • Step 1. Math Expression:A mathematical expression containing one or more of the Q1 to Q5 variables and/or sibling indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.Q1 + I1.Q2) * I1.Q3) + I1.Q4)) - (2 * I1.Q5)
  • Step 1. Math Operator Type: Mathematical operation to use with QT. MathTypes include: equalto, lessthan, greaterthan, lessthanorequalto, and greaterthanorequalto. Refer to the Stock Calculation 1 reference for the algorithms.
  • Step 1. Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, QT, QTD1, and QTD2 to solve for QTM, QTL, and QTU. Refer to the Stock Calculation 1 reference for the algorithms.
  • Step 1. QT Amount and Unit: The Unit must be manually entered. The Amount will be the result of the mathematical calculation.
  • Step 1. QTD1 Amount and Unit: First distribution, or shape, parameter for QT.
  • Step 1. QTD2 Amount and Unit: Second distribution, or scale, for QT.
  • Step 1. BaseIO: Base input or output property to update with this indicator's QTM property.
  • Step 1. QTM Amount and Unit: Most Likely Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
  • Step 1. QTL Amount and Unit: Low Estimate or QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
  • Step 1. QTU Amount and Unit: High Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
  • Step 1. Math Result: TEXT string holding results of calculation.

Step 2

  • Step 2. Use Same Calculator Pack In Descendants?: True to insert or update this same calculator in children.
  • Step 2. Overwrite Descendants?: True to insert or update all of the attributes of this same calculator in all children. False only updates children attributes that are controlled by the developer of this calculator (i.e. version, stylehsheet name, relatedcalculatorstype ...)
  • Step 2. What If Tag Name: Instructional videos explaining the use of what-if scenario calculations should be viewed before changing or using this parameter.
  • Step 2. Related Calculators Type: When the Use Same Calculator Pack in Descendant is true, uses this value to determine which descendant calculator to update. Inserts a new descendant when no descendant has this same name. Updates the descendant that has this same name.
  • Step 2. Indicators: Enter up to 5 indicators.
  • Step 2. Target Type: Used with Progress analyzers to identify benchmark and actual indicators.
  • Step 2. Altern Type: Used with Change by Alternative analyzers to identify alternatives to compare.
  • Step 2. Score Math Expression: A mathematical expression containing one or more of the children indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.QTM + I2.QTM) * I3.Q3) + I4.QTM)) - (2 * I5.QTM)
  • Step 2. Score Amount and Unit: The Unit must be manually entered. The Amount will be the result of the Math Expression calculation.
  • Step 2. ScoreD1 Amount and Unit: First distribution variable for Score.
  • Step 2. ScoreD2 Amount and Unit: Second distribution for Score.
  • Step 2. Distribution Type: The numeric distribution of Score. Refer to the Stock Calculation 1 reference.
  • Step 2. Score Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, Score, ScoreD1, and ScoreD2 to solve for ScoreM, ScoreL, and ScoreU. Refer to the Stock Calculation 1 reference for the algorithms.
  • Step 2. Score Most Likely, Score Low, Score High, Amounts and Units: Results of Distribution Type and Math Type calculations.
  • Step 2. Iterations: Number of iterations to use when drawing random number samples for some algorithms.
  • Step 2. Confidence Interval: Level of confidence interal to use when reporting all Score and Indicator high and low amounts. Should be an integer such as 95, 90, or 40.
  • Step 2. Random Seed: Any positive integer, except 0, will result in the same set of random variables being used each time a calculation is run.
  • Step 2. Score BaseIO: Base input or output property to update with the Score Most Likely property.

References

  • Refer to the Stock Calculation 1 reference.

Current view of document
2014 Orange, Conventional LCA
Output Group
LCA Organic Crops
Output
2014 Orange, Conventional LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
55.9220 env performance 55.0000 mean 6.0000 sd 10000 90 8 none
55.0302 mean 54.9325 lower 90 % ci 55.1279 upper 90 % ci normal algorithm1 subalgorithm1 1
(I1.QTM+I2.QTM)/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 550302.1852, 55.0302, 55.0050, 5.9222, 35.0726, 32.5144, 77.2198, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 32.5144,47.4841,50.0692,51.9360,53.5344,55.0055,56.5288,58.1234,59.9692,62.5652,77.2198
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 algorithm1 normal none equalto subalgorithm1
29.0000 kg N / ha 29.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
1.0000 kg N / ton 100.0000 15.0000 100.0755 kg N / ton 99.8312 lower 90 % ci 100.3198 upper 90 % ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 algorithm1 triangle none equalto subalgorithm1
4.0000 kg P / ha 20.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
0.2000 kg P / ton 15.0000 35.0000 11.7685 kg P / ton 11.6340 lower 90 % ci 11.9030 upper 90 % ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Output Series: 2012 Orange, Conventional LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
65.9336 env performance 65.0000 mean 6.5000 sd 10000 90 8 none
65.0327 mean 64.9268 lower 90 % ci 65.1386 upper 90 % ci normal algorithm1 subalgorithm1 1
(I1.QTM+I2.QTM)/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 650327.3673, 65.0327, 65.0054, 6.4157, 41.1615, 40.6406, 89.0715, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 40.6406,56.8578,59.6583,61.6807,63.4122,65.0059,66.6562,68.3836,70.3833,73.1957,89.0715
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 algorithm1 normal none equalto subalgorithm1
34.8000 kg N / ha 29.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
1.2000 kg N / ton 120.0000 15.0000 120.0755 kg N / ton 119.8312 lower 90 % ci 120.3198 upper 90 % ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 algorithm1 triangle none equalto subalgorithm1
4.8000 kg P / ha 20.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
0.2400 kg P / ton 15.0000 35.0000 11.7918 kg P / ton 11.6574 lower 90 % ci 11.9262 upper 90 % ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Output Series: 2013 Orange, Conventional LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
66.2622 env performance 66.0000 mean 7.0000 sd 10000 90 8 none
66.0353 mean 65.9213 lower 90 % ci 66.1493 upper 90 % ci normal algorithm1 subalgorithm1 1
(I1.QTM+I2.QTM)/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 660352.5494, 66.0353, 66.0058, 6.9092, 47.7377, 39.7668, 91.9231, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 39.7668,57.2315,60.2474,62.4253,64.2901,66.0064,67.7836,69.6439,71.7974,74.8261,91.9231
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 algorithm1 normal none equalto subalgorithm1
35.0000 kg N / ha 29.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
1.2069 kg N / ton 120.0000 15.0000 120.0755 kg N / ton 119.8312 lower 90 % ci 120.3198 upper 90 % ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 algorithm1 triangle none equalto subalgorithm1
4.5000 kg P / ha 20.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
0.2250 kg P / ton 17.0000 37.0000 12.4489 kg P / ton 12.3067 lower 90 % ci 12.5911 upper 90 % ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Output Series: 2014 Orange, Conventional LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
55.9220 env performance 55.0000 mean 6.0000 sd 10000 90 8 none
55.0302 mean 54.9325 lower 90 % ci 55.1279 upper 90 % ci normal algorithm1 subalgorithm1 1
(I1.QTM+I2.QTM)/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 550302.1852, 55.0302, 55.0050, 5.9222, 35.0726, 32.5144, 77.2198, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 32.5144,47.4841,50.0692,51.9360,53.5344,55.0055,56.5288,58.1234,59.9692,62.5652,77.2198
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 algorithm1 normal none equalto subalgorithm1
29.0000 kg N / ha 29.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
1.0000 kg N / ton 100.0000 15.0000 100.0755 kg N / ton 99.8312 lower 90 % ci 100.3198 upper 90 % ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 algorithm1 triangle none equalto subalgorithm1
4.0000 kg P / ha 20.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
0.2000 kg P / ton 15.0000 35.0000 11.7685 kg P / ton 11.6340 lower 90 % ci 11.9030 upper 90 % ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Dataset: 2014 Orange, Conventional LCA IRI This orange crop is grown using conventional practices.

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