Methods and Systems Architecture to Virtualize Energy Functions and Processes into a Cloud Based Model

• US 20140278327A1
• Filed: 03/11/2014
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Active Grant

• Current Assignee: Mark Hauenstein
• Original Assignee: Mark Hauenstein
• Inventors: Hauenstein, Mark
• Granted Patent: US 9,343,903 B2
• Time in Patent Office: Days
• US Class Current: 703/13
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/47 Responding to energy costs
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

A system for creating an energy performance and predictive model. The system includes a non-transitory computer-readable storage medium which performs the steps obtaining parametric information objects that represent actual physical objects and modifying the parametric information objects by embedding data related to energy performance characteristics unique to the device represented. The system further performs the steps grouping the modified parametric information objects that define actual real world interrelationships to create a complete virtualized project and parsing the virtualized model data set to create a first parsed data set and a second parsed data set. The first parsed data set creates the project system control application, which acts upon and coordinates the actions of the real device through the virtual field bus. The second parsed data set creates the project'"'"'s virtualized energy performance project and represents the subset of the virtualized performance environment where other virtualized devices can act upon it.

Claims

1. In a system for creating an energy performance and predictive model, a non-transitory computer-readable storage medium including instructions that, when executed by a computing device, cause the system to create virtualized energy objects that represent physical systems, characteristics, and performance by performing the following steps:

obtaining parametric information objects that represent actual physical objects;

modifying the parametric information objects by embedding data related to energy performance characteristics unique to the device represented;

grouping the modified parametric information objects that define actual real world interrelationships to create a complete virtualized project; and

parsing the virtualized model data set to create a first parsed data set and a second parsed data set, wherein;

the first parsed data set creates the project system control application, which acts upon and coordinates the actions of the real device through the virtual field bus; and

the second parsed data set;

creates the project'"'"'s virtualized energy performance project; and

represents the subset of the virtualized performance environment where other virtualized devices can act upon it.

2. The system of claim 1, wherein the virtual model includes:

a static model; and

a dynamic model, wherein the dynamic model;

works with the static model;

provides data regarding current performance in a real physical system; and

affects change of the physical system by inputting and outputting data via the virtualized field bus, and;

relates to the static model that provides;

interacts with other virtualized objects to;

register user preferences and data from other virtualized objects that may have an effect on consumption, use, environmental, and costing variables; and

communicate in real time changes made by the dynamic model that may have an effect on consumption, use, environmental, and costing variable.

3. The system of claim 1 that uses a two model virtualized method that incorporates Bayesian interpretation to:

compare actual performance to predictive performance;

predict energy performance in the future in real time;

allow for the use of more advanced calculations to be used in the interpretation, integration, and management of energy, both within consumption and generation constructs; and

understand energy flow analysis, and transactional costs.

4. The system of claim 3, wherein the dynamic model:

interfaces directly with the representative physical model in real time using at least one of;

user input;

or

machine to machine interaction;

has the ability to use at least one of;

sophisticated control logic

control algorithms;

or

user interface from the same data set.

5. The system of claim 1, wherein a 3D real time management and control tool is created, using at least one of:

uniform resource locator;

polymorphism;

or

a combination of uniform resource locator and polymorphism to relate and update in real time the parsed data to the original parametric model.

6. The system of claim 1 that exists in non-transitory storage across multiple computing platforms such that machine readable code resides outside of the related physical devices.

7. The system of claim 6, wherein the system further performs the steps of:

receiving data to;

aggregate generational source by type;

provide data regarding current generation in a physical system; and

provide data based on user preferences that may have an effect on generation moving forward;

creating a virtualized model regarding the physical system inputting data;

creating a predictive model regarding future generation;

tracking and summarizing each generational source performance variables; and

,

comparing the predictive model to actual generation to evaluate and modify the performance of the predictive model.

8. The system of claim 7, wherein the data includes at least one of:

source data;

generation data;

environmental data;

or

sensor data.

9. The system of claim 8, wherein the system further performs the step:

creating ancillary service within an electrical grid to offset transient electrical load conditions and distribution power factor by adjusting consumption demand in real time resolution between energy suppliers and energy consumers.

10. The system of claim 9, wherein the system further performs the steps of:

receiving data to;

aggregate users by source generation type

provide data regarding current usage in a physical system; and

provide data based on user preferences that may have an effect on consumption moving forward;

creating a virtualized model regarding the physical system inputting data;

creating a predictive model regarding future consumption;

tracking and summarizing each user'"'"'s consumption performance variables; and

,

comparing the predictive model to actual consumption demands to evaluate and modify the performance of the predictive model.

11. The system of claim 10, wherein the data includes at least one of:

source data;

generation data;

environmental data;

or

sensor data.

12. The system of claim 11, wherein the system further performs the step:

creating a transactional model to allow for real time resolution between energy suppliers and energy consumers.

13. The system of claim 12, wherein resolution between energy suppliers and energy consumers includes at least one of:

delaying electrical loads in order to participate in at least one of;

load demand response;

or

power factor load balancing;

segregate virtualized loads and their associated energy use by user and based on users utility preferences, associate electrical consumption to electrical generation by generational type in real time;

place requests for particular electrical energy generational types with ISO'"'"'s or other participants and track consumption model requests with generational model responses and establish tiered pricing levels in real time;

segregate virtualized electrical generational types and their associated environmental impact, along with specific costs. losses, and tariffs between any particular generational sources and any particular consumer;

or

allow users to select utility generational sources using a tiered billing structure for each virtualized device.

14. A virtual thermostat for virtualizing energy functions and processes, the virtual thermostat comprising:

a sensor array, wherein the sensor array includes;

an interior temperature sensor at a thermostat location, wherein the interior temperature sensor is configured to measure the temperature within an interior space;

an outdoor temperature sensor, wherein the outdoor temperature sensor is configured to measure the temperature sensor of an outdoor location in proximity to the interior space; and

a supply air temperature sensor, wherein the supply air temperature sensor is configured to measure the temperature of conditioned air that is being supplied to the interior space;

one or more computer readable media, wherein the one or more computer readable media contain a set of computer-executable instructions to be executed by the logic device, the set of computer-executable instructions configured to;

receive input from the sensory array;

create a unique representation of the physical systems controlled;

create a unique data set of the virtualized systems and connect this data set to other networked devices using machine to machine interaction;

allow the virtualized thermostat to share simple user data and user requests with other consumption or generational models;

allow the data set representing the virtualized thermostat to exist outside of the controlled system; and

employ sophisticated control logic/algorithms to output one or more control signals designed to affect the desired conditioning.

15. The virtual thermostat of claim 14, wherein the sensor array further includes:

a radiant temperature sensor, wherein the radiant temperature sensor;

is configured to measure the radiant temperature of a surface within the interior space; and

includes;

a frame mounted to an exterior wall that senses using an IR sensor, the outside wall internal surface temperature;

a thermocouple sampling surrounding air; and

includes an IR sensor to measure the IR temperature of the surroundings;

is isolated from the wall using an insulated frame.

16. The virtual thermostat of claim 14, wherein the sensor array further includes an occupancy sensor, wherein the occupancy sensor is configured to establish occupant conditions.

17. The system of claim 14, wherein each of the sensors in the sensor array provide data that will allow the virtual thermostat to measure 2nd order equation responses in order to predict the system performance as the basis of the virtualized consumption model.

18. The virtual thermostat of claim 14, wherein the sensor array further includes:

a sensor configured to;

read surface temperature of the structure it is mounted upon using infrared means; and

,

read the surrounding temperature using infrared means; and

,

read the surrounding temperature using an air sensor type thermocouple; and

forward data to a virtualized thermostat as described to more accurately define space conditions resulting in the optimized thermal comfort for the least energy cost.

19. The virtual thermostat of claim 18, wherein the sensor includes at least one of:

an ear device;

a wrist device;

a lapel device;

or

a smart device that is connected to the virtual thermostat using Bluetooth standard.

20. The virtual thermostat of claim 19, wherein the sensor is configured to:

register with the virtualized thermostat to identify multiple occupants, wherein the registration process would allow the virtualized thermostat to receive the occupant'"'"'s consumption preferences and variables and track multiple occupants with the total energy use, source, and cost apportioned over each occupant.