Systems and methods for computing emission values

• US 8,478,566 B2
• Filed: 10/26/2009
• Issued: 07/02/2013
• Est. Priority Date: 10/26/2009
• Status: Active Grant

• Current Assignee: Zerofootprint Software Inc.
• Original Assignee: Zerofootprint Software Inc.
• Inventors: Glenn, Michael, Meyn, Oliver, Dembo, Ron
• Primary Examiner(s): Feliciano, Eliseo Ramos
• Assistant Examiner(s): PEREZ BERMUDEZ, YARITZA H
• Application Number:
  US12/605,809
• Publication Number:
  US 20110099489A1
• Time in Patent Office: 1,345 Days
• Field of Search: 702/127, 702182-185, 702/188, 703/6, 703/11
• US Class Current: 702/182
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

A system and method for computing emission values. In one aspect, a system and method is described to include an input module operable to receive raw activity data to define a record for an activity; a data provisioning module operable to compute standardized activity data using the raw activity data; a location module operable to compute a location hierarchy for a given location; a factor data module operable to compute factor data for a given location hierarchy and time period; a reference data module operable to compute reference data; and an emission engine operable to compute at least one emission value for the activity based on the optimal emission equation.

Claims

1. A computer system for computing emission values, the computer system comprising a processor and a computer readable storage medium storing instructions, the instructions being executable to configure the processor to provide:

an input module operable to receive raw activity data to define a record for an activity, wherein the raw activity data comprises;

an activity type;

a time interval;

a location;

a unit of measure; and

a consumption value;

a data provisioning module operable to convert the raw activity data into one or more standardized activities by dividing the time interval for the raw activity data into one or more sub-intervals of time and definina a standardized activity for each of the sub-intervals of time, wherein each standardized activity corresponds to a subset of the raw activity data;

a location module operable to compute a location hierarchy for a given location, wherein the location hierarchy comprises nodes, wherein each node corresponds to a location wherein the nodes are arranged relative to each other from a specific location to general location to represent different levels of granularity for the location of the activity;

a factor data module operable to, for each standardized activity, compute, using the processor, emission factors based on the location hierarchy and the sub-interval of time for the respective standardized activity, wherein each emission factor is valid for the sub-interval of time and one or more locations correspond to the nodes of the location hierarchy, wherein an emission factor valid for a more specific location will be chosen over an emission factor valid for a more general location;

a reference data module operable to, for each standardized activity, compute reference data from the subset of raw activity data;

an emission engine operable to;

for each standardized activity;

determine at least one optimal emission equation wherein the at least one optimal emission equation is valid for the activity type, the sub-interval of time and one or more locations corresponding to the nodes of the location hierarchy; and

compute at least one emission value for the respective standardized activity using the at least one optimal emission equation, the reference data, and the emission factors; and

compute, using the processor, at least one emission value for the activity using the emission values for the standardized activities.

2. The system of claim 1 wherein the input module is operable to interface with an application programming interface for a plurality of computing devices.

3. The system of claim 1 further comprising a bulk upload module operable to receive raw activity data as bulk data from an enterprise client and provide the raw activity data to the input module.

4. The system of claim 1 further comprising a question tree module operable to:

compute a question tree comprising a root node, a plurality of branch nodes, and a plurality of question nodes;

provide a first question to a user based on the question tree;

receive raw activity data in response to the first question; and

provide the raw activity data to the input module.

5. The system of claim 4 wherein the question tree module is further configured to:

re-configure the question tree using at least some of the received raw activity data;

provide a second question to the user based on the re-configured question tree; and

receive additional raw activity data in response to the second question.

6. The system of claim 1 further comprising an inventory and payment services module operable to:

manage emission credit inventory;

calculate a number of emission credits required to offset the computed emission value;

compute emission credit market values; and

initiate an emission offset transaction based on the number of calculated emission credits;

computed emission credit market values; and

emission credit inventory.

7. The system of claim 1 wherein the input module is further operable to receive a user identifier;

and wherein the location module is further operable to customize a location hierarchy for a user associated with the user identifier, wherein the customized location hierarchy includes one or more nodes specific to the user; and

wherein the customized location hierarchy may be queried using the user identifier.

8. The system of claim 1 wherein the location hierarchy is a tree comprised of parent and children nodes;

wherein each node corresponds to a geographic location;

wherein each parent node corresponds to a geographic region at least as large as the aggregate of its children; and

wherein each child node- has only one parent node.

9. The system of claim 1 wherein the at least one optimal emission equation is associated with a time period, an emission type and a protocol.

10. The system of claim 1 wherein the factor data module is further operable to;

associate each emission factor with at least one source, at least one location, a valid start date, and a valid end date;

determine which emission factors are valid for at least a portion of the sub-interval of time for the respective standardized activity;

determine which emission factors are valid for locations defined by the location hierarchy; and

rank the valid emission factors from most accurate to least accurate to compute a list of ranked valid emission factors.

11. The system of claim 10 wherein the factor data module is further operable to receive emission factors specific to a user and associate the emission factors with the user.

12. The system of claim 1 wherein the data provisioning module is further operable to:

convert the unit of measure and consumption value for the raw activity data into a standard unit of measure and a corresponding consumption value;

associate a portion of the corresponding consumption value in the standard unit of measure to each standardized activity based on the sub-interval of time for the respecfive standardized activity; and

associate an input label with each standardized activity, where the input label is based on the activity type and defines how the emission value for the standardized activity will be calculated.

13. A method for computing emission values, wherein the method is implemented on a processor and a computer readable storage medium storing instructions, the instructions being executable to configure the processor to perform operations comprising:

receiving raw activity data for an activity, wherein the raw activity data comprises;

an activity type;

a time interval;

a location of the activity;

a unit of measure; and

a consumption value;

converting the raw activity data into one or more standardized activities by dividing the time interval for the raw activity data into one or more sub-intervals of time and defining a standardized activity for each of the sub-intervals of time, wherein each standardized activity corresponds to a subset of the raw activity data;

computing a location hierarchy corresponding to the location of the activity, wherein the location hierarchy comprises nodes, wherein each node corresponds to a location, wherein the nodes are arranged relative to each other from a specific location general location to represent different levels of granularity for the location of the activity;

for each standardized activity;

computing, using the processor, emission factors based on the location hierarchy and the sub-interval of time for the respective standardized activity, wherein each emission factor is valid for the sub-interval of time and one or more locations corresponding to the nodes of the location hierarchy, wherein an emission factor valid for a more specific location will be chosen over an emission factor valid for a more general location;

computing reference data from the subset of raw activit data;

determining at least one optimal emission equation, wherein the at least one optimal emission equation is valid for the activity type, the sub-interval of time and one or more locations corresponding to the nodes of the location hierarchy; and

computing at least ore emission value for the standardized activity using the at least one optimal emission equation, the reference data, and the emission factors;

computing, using the processor, at least one emission value for the activity using the emission values for the standardized activities.

14. The method of claim 13 further comprising:

computing a question tree, wherein the question tree comprises a root node, a plurality of branch nodes, and a plurality of question nodes;

providing a first question generated using the question tree to a user;

receiving raw activity data in response to the first question.

15. The method of claim 14 further comprising:

re-configuring the question tree in response to at least some of the received raw activity data; and

providing an additional question generated using the re-configured question tree to the user; and

receiving additional raw activity data in response to the additional question.

16. The method of claim 15 further comprising traversing the question tree by dynamically repeating the steps of:

re-configuring the question tree;

providing an additional question; and

receiving additional raw activity data.

17. The method of claim 13 further comprising:

managing emission credit inventory;

calculating a number of emission credits requited to offset the computed emission value;

computing emission credit market values;

initiating an emission offset transaction based on the number of calculated emission credits, computed emission credit market values, and the emission credit inventory.

18. The method of claim 13 further comprising:

receiving a user identifier corresponding to a user;

customizing the location hierarchy for the user, wherein the customized location hierarchy includes one or more nodes specific to the user; and

retrieving the customized location hierarchy using the user identifier.

19. The method of claim 13 wherein the step of converting the raw activity data into one or more standardized activities comprises:

converting the unit of measure and consumption value for the raw activity data into a standard unit of measure and a corresponding consumption value; and

associating a portion of the corresponding consumption value in the standard unit of measure with each standardized activity based on the sub-interval of time for the respective standardized activity.

20. The method of claim 13 wherein the emission factors receive at least some of the reference data as one or more parameters, and wherein the at least one optimal emission equation receives at least some of the emission factors as one or more parameters.

21. The method of claim 20 wherein computing the at least one emission value for the activity comprises:

aggregating the emission values for the standardized activities.

22. The method of claim 13 wherein the step of converting raw activity data into one or more standardized activities comprises:

associating an input label for the activity based on the activity type, wherein the input label defines how the emission value for the respective standardized activity will be calculated.

23. The method of claim 13 wherein the step of determining at least one optimal emission equation comprises:

storing a plurality of emission equations in a database, wherein each emission equation is associated with a protocol and an activity type;

determining a set of emission equations from the plurality of emission equations, wherein each emission equation in the set of emission equations matches at least some of the subset of raw activity data corresponding to the standardized activity data, the reference data and the emission factors;

ranking each emission equation in the set of emission equations, wherein the rank relates to the accuracy of the emission equation given the subset of raw activity data corresponding to the standardized activity, the reference data and the emission factors; and

selecting the at least one optimal emission equation from the ranked set of emission equations.

24. The method of claim 13 further comprising receiving one or more emission equations specific to a user and associating the one or more emission equations with a user identifier.

25. The method of claim 13 further comprising receiving emission factors specific to a user and associating the emission factors with the user.

26. The method of claim 13 wherein the method further comprises:

associating each emission factor with at least one source, at least one location, a valid start date, and a valid end date;

determining which emission factors are valid for the sub-interval of time of the respective standardized activity;

determining which emission factors are valid for locations defined by the location hierarchy;

ranking the valid emission factors from most accurate to least accurate to compute a list of ranked valid factors.

27. A non-transitory computer-readable medium upon which a plurality of instructions are stored, the instructions for performing the steps of the method as claimed in claim 13.