1. A method for managing a chaotic event,
the method comprising:
responsive to receiving an indication of the chaotic event, determining a management location that has an active data communication for managing the chaotic event;
wherein the chaotic event is an event that causes an interruption in routines normally performed by people in everyday activities because of damage inflicted to individuals and infrastructure;
predicting a timing and severity of the chaotic event based on a stored set of catastrophe models;
wherein the catastrophe models define the parameters of the particular chaotic event;
identifying resources necessary for managing the chaotic event based on the predicted timing and severity of the chaotic event;
collecting and organizing data by a data organization system through a semantic search over a plurality of networks to determine availability of a number of necessary resources to form available resources;
performing a number of optimization routines that are stored in a memory to calculate an ad hoc optimal solution from the available resources based on requirements and constraints to form optimized resources, wherein the ad hoc optimal solution maximizes an objective function:
verifying the availability of the optimized resources; and
managing the chaotic event from the management location using the optimized resources.
2. The computer implemented method of claim 1, wherein the identifying, determining, optimizing, and verifying steps are performed recursively to continuously adapt the available resources based on conditions of the chaotic event.
3. The computer implemented method of claim 1, further comprising performing the identifying resources step based on requirements and constraints for services, a potential skill pool, and enabling resources.
4. The computer implemented method of claim 1, further comprising:
detecting the chaotic event including timing and severity of the chaotic event.
5. The computer implemented method of claim 4, wherein the detecting step further comprises:
crawling communications networks by performing a semantic search to determine the chaotic event has occurred.
6. The computer implemented method of claim 4, wherein the detecting step is performed on information from sensors, commercial services, and manual input.
7. The computer implemented method of claim 2, transferring control to another management location based on the conditions.
8. The computer implemented method of claim 1, further comprising:
receiving user input for managing the chaotic event; and
communicating instructions for managing the chaotic event.
9. The computer implemented method of claim 1, wherein the identifying step is based on a database specifying the necessary skills and the necessary resources for a type of the chaotic event.
10. The computer implemented method of claim 1, further comprising:
determining routes for the necessary resources to determine the available resources.
11. The computer implemented method of claim 1, wherein the identifying resources step further comprises:
crawling a network to find the available resources.
12. The computer implemented method of claim 1, further comprising:
responsive to determining the available resources are unavailable, reoptimizing the available resources.
13. A data processing system comprising:
a bus system;
a communications system connected to the bus system;
a memory connected to the bus system, wherein the memory includes a set of instructions; and
a processing unit connected to the bus system, wherein the processing unit executes the set of instructions to determine a management location that has an active data communication for managing a chaotic event in response to receiving an indication of the chaotic event, predict a timing and severity of the chaotic event based on a stored set of catastrophe models, identify resources necessary for managing the chaotic event to indicate necessary resources based on the predicted timing and severity of the chaotic event, collect and organize data by a data organization system through a semantic search over a plurality of networks to determine availability of a number of necessary resources to form available resources, perform a number of optimization routines to calculate an ad hoc optimal solution from the available resources based on requirements and constraints to form optimized resources, wherein the ad hoc optimal solution maximizes an objective function, verify the availability of the optimized resources, and manage the chaotic event from the management location using the available resources.
14. The system of claim 13, wherein the data processing system is operably connected to a network and wherein a secondary data processing system may be activated to execute the set of instructions in a different management location for transferring control of chaotic event management.
15. The system of claim 13, wherein the set of instructions detect the chaotic event, wherein the data processing system is operably connected to a plurality of databases for accessing information required to manage the chaotic event.
16. A computer program product comprising a computer readable storage medium including computer usable program code for managing a chaotic event, the computer program product comprising:
computer usable program code, responsive to receiving an indication of the chaotic event, for determining a management location that has an active data communication for managing the chaotic event;
computer usable program code for predicting a timing and severity of the chaotic event based on a stored set of catastrophe models;
computer usable program code for identifying necessary resources for managing the chaotic event based on the predicted timing and severity of the chaotic event;
computer usable program code for collecting and organizing data by a data organization system through a semantic search over a plurality of networks to determine the availability of a number of necessary resources to form available resources;
computer usable program code for performing a number of optimization routines to calculate an ad hoc optimal solution from the available resources based on requirements and constraints to form optimized resources, wherein the ad hoc optimal solution maximizes an objective function;
computer usable program code for verifying the availability of the optimized resources; and
computer usable program code for managing the chaotic event from the management location using the optimized resources.
17. The computer program product of claim 16, further comprising:
computer usable program code for detecting the chaotic event including timing and severity of the chaotic event; and
computer usable program code for communicating instructions for managing the chaotic event.
18. A chaotic event management system comprising:
a processor for processing an operating system and a chaotic event management application;
a computer readable storage medium operably connected to the processor for storing the operating system and information from the chaotic event management application wherein the operating system and the chaotic event management application may be loaded into a main memory for execution by the processor wherein the chaotic event management application further comprises:
a user interface for interacting with at least one user for managing the chaotic event;
an event detection module for detecting the chaotic event;
a management location module for selecting a management location that has an active data communication for managing the chaotic event;
a timing and severity prediction module for predicting a timing and severity of the chaotic event based on a stored set of catastrophe models;
an events requirements module for identifying necessary resources for managing the chaotic event based on the predicted timing and severity of the chaotic event;
a data organization module for collecting and organizing data through a semantic search over a plurality of networks to determine availability of a number of necessary resources to form available resources;
an optimization module for performing a number of stored optimization routines to calculate an ad hoc optimal solution from the available resources based on requirements and constraints to form optimized resources, wherein the ad hoc optimal solution maximizes an objective function;
an availability verification module for verifying the availability of the optimized resources to form available optimized resources;
an event management module for managing the chaotic event from the management location using the available optimized resources; and
a plurality of databases operably connected to the processor by a network for accessing and storing information for the chaotic event management application.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A gas compression and expansion system comprising:
a compression system fluidly coupled to a storage compartment and configured to compress a first quantity of gas for storage in the storage compartment, the compression system comprising a compression path configured to convey the first quantity of gas therethrough;
an expansion system fluidly coupled to the storage compartment and configured to expand a second quantity of gas from the storage compartment, the expansion system comprising an expansion path configured to convey the second quantity of gas therethrough;
a first path fluidly coupled to the compression path and configured to convey the first quantity of gas to the storage compartment;
a second path fluidly coupled to the expansion path and configured to convey the second quantity of gas from the storage compartment to the expansion system; and
a carbon dioxide separation unit fluidly coupled to one of the first path, the second path, the compression path, and the expansion path, wherein the carbon dioxide separation unit is configured to remove a quantity of carbon dioxide from one of the first quantity of gas and the second quantity of gas.
2. The gas compression and expansion system of claim 1 wherein the carbon dioxide separation unit comprises one of a solvent-based separation unit and a membrane-based separation unit.
3. The gas compression and expansion system of claim 1 wherein the compression system is configured to increase a pressure of the first quantity of gas from a first pressure to a second pressure, the compression system comprising a plurality of compressor units fluidly coupled to the compression path; and
wherein each compressor unit is configured to increase the pressure of the first quantity of gas by a respective pressure less than a difference between the first and second pressures.
4. The gas compression and expansion system of claim 1 wherein the expansion system is configured to decrease a pressure of the second quantity of gas from a third pressure to a fourth pressure, the expansion system comprising a plurality of expander units fluidly coupled to the expansion path; and
wherein each expander unit is configured to decrease the pressure of the second quantity of gas by a respective pressure less than a difference between the third and fourth pressures.
5. The gas compression and expansion system of claim 1 wherein the first quantity of gas comprises ambient air.
6. The gas compression and expansion system of claim 1 wherein the first quantity of gas comprises flue gas.
7. The gas compression and expansion system of claim 6 further comprising a third path fluidly coupled to the expansion system and to the compression system, the third path configured to convey a quantity of carbon dioxide-enriched gas from the expansion system to the compression system.
8. The gas compression and expansion system of claim 1 wherein the storage compartment comprises a cavern.
9. A method of manufacturing an air compression and expansion system comprising:
configuring a compressor to compress an airstream for storage in a storage volume;
coupling a first airflow path to the compressor and configuring the first airflow path to deliver a compressed airstream to the storage volume;
configuring a turbine to receive a quantity of the compressed airstream and expand the quantity of the compressed airstream;
coupling a second airflow path to the turbine and configuring the second airflow path to deliver the quantity of the compressed airstream to the turbine from the storage volume; and
coupling a carbon dioxide filter along at least one of the first airflow path and the second airflow path and configuring the carbon dioxide filter to filter a quantity of carbon dioxide from the compressed airstream.
10. The method of claim 9 coupling a third airflow path between the compressor and the turbine and configuring the third airflow path to deliver a re-circulated airstream to the compressor.
11. The method of claim 10 further comprising configuring the compressor to compress a carbon dioxide-enriched airstream, the carbon dioxide-enriched airstream comprising a mixture of the recirculated airstream and a flue gas.
12. The method of claim 9 further comprising coupling a third airflow path to the compressor and to one of a power plant and an industrial process to deliver the airstream to the compressor from the one of the power plant and the industrial process.
13. A compressed air energy storage (CAES) system comprising:
a compressor assembly having an inlet and an outlet, the compressor configured to exhaust compressed working fluid at the outlet of the compressor assembly;
a storage volume positioned downstream of the outlet of the compressor and configured to receive and store the compressed working fluid;
a turbine assembly positioned downstream of the storage volume and configured to receive the compressed working fluid from the storage cavern at an inlet of the turbine assembly and exhaust expanded working fluid at an outlet of the turbine assembly; and
a carbon dioxide separation unit positioned downstream of the outlet of the compressor assembly and upstream of the inlet of the turbine assembly, wherein the carbon dioxide separation unit is configured to remove a quantity of carbon dioxide from the compressed working fluid.
14. The CAES system of claim 13 wherein the first quantity of working fluid comprises ambient air; and
wherein the compressor assembly is configured to:
receive the working fluid at the inlet of the compressor assembly, the working fluid having an ambient air carbon dioxide concentration; and
compress the working fluid.
15. The CAES system of claim 14 wherein the ambient air carbon dioxide concentration is approximately 0.04 percent volume.
16. The CAES system of claim 13 wherein the first quantity of working fluid comprises flue gas; and
wherein the compressor assembly is configured to:
receive the working fluid at the inlet of the compressor assembly, the working fluid having an flue gas carbon dioxide concentration; and
compress the working fluid.
17. The CAES system of claim 16 wherein the flue gas carbon dioxide concentration is within a range of approximately four percent volume to fifteen percent volume.
18. The CAES system of claim 16 wherein the compressor assembly is further configured to:
receive a quantity of working fluid at the inlet of the compressor assembly;
receive a quantity of recirculated fluid from the outlet of the turbine assembly, the re-circulated fluid comprising a quantity of the expanded working fluid;
compress a combination of the quantity of working fluid and the quantity of re-circulated fluid into a combined fluid mixture; and
exhaust the combined fluid mixture at the outlet of the compressor assembly, the combined fluid mixture comprising a mixture carbon dioxide concentration greater than the flue gas carbon dioxide concentration.
19. The CAES system of claim 18 wherein the mixture carbon dioxide concentration is approximately eight percent volume.
20. The CAES system of claim 13 wherein the compressed air storage volume comprises a salt cavern.