System and Method for Modeling, Simulation, Optimization, and/or Quote Creation

1 . A method, comprising:

receiving, with a computer, a set of library data relating to a compressed air system from a database at a first server;

displaying, with a first graphical user interface (GUI) on the computer, a visual representation of each of the set of library data in a first portion of the GUI, a settings interface in a second portion of the GUI, and a modeling interface in a third portion of the GUI;

receiving, through the GUI, a user initiated request to add at least a portion of the set library data to the second portion of the GUI to form a model of a compressed air system;

receiving a demand profile from a user;

receiving, through the GUI, a user initiated request to simulate the model;

simulating the model of the system to generate simulation data;

determining one or more optimization gaps based on the simulation data and the demand profile;

determining a recommendation based on the one or more optimization gap;

transmitting the recommendation to a second server;

receiving a sales quote for one or more products from the second server based on the recommendation;

displaying, with a second GUI on the computer, the simulation data, the sales quote, and the recommendation.

2 . The method of claim 1 , wherein the set of library data includes at least one of a component library and a template library.

3 . The method of claim 2 , wherein the component library comprises a set of components relating to a compressed air system, wherein the set of components includes at least one of a compressor, a dryer, a filter, a regulator, a pipe, a pipe fitting, a point-of-use tool, a hose, a valve, a drain, an air receiver, a separator, a lubricator, a cooler, a safety device, a treatment component, and a customizable component.

4 . The method of claim 3 , wherein each component in the set of components includes one or more settings, and wherein the one or more settings includes at least one of a compressor pressure set point, a dryer dew point, a flow demand, a humidity, a temperature, an energy consumption, a pressure, a flow, a relative humidity, a temperature, and a component specific setting.

5 . The method of claim 2 , wherein the template library comprises a set of templates relating to a compressed air system, wherein the set of templates includes at least one of a component combination template, a compressor room layout template, a factory floor layout template, and a header network template.

6 . The method of claim 1 , wherein the visual representation includes at least one of an icon, a button, a textual representation, and a graphical representation.

7 . The method of claim 1 , wherein the simulation data includes at least one of a transient pressure, a dynamic pressure, a flow, a moisture content, an energy consumption, and a financial reference.

8 . The method of claim 7 , wherein the financial reference includes at least one of a bill of materials (BOM), a budget, a return on investment (ROI), and a total cost of ownership (TCO).

9 . The method of claim 1 , further comprising transmitting the sales quote and the recommendation to another computing device via email.

10 . The method of claim 1 , further comprising:

transmitting at least one of the model and the simulation to be saved on the first server.

11 . A system, comprising:

a first computing device configured with non-transitory computer executable instructions to receive and maintain a first database that includes library data relating to a compressed air system;

a second computing device configured with non-transitory computer executable instructions to receive at least a portion of the library data from the first computing device, display the library data in a graphical user interface (GUI), receive input through the GUI from a user to create a demand profile and generate a model of a system from the library data, simulate the model of the system to generate simulation data, determine one or more optimizations based on the simulation data and the demand profile, determine a recommendation based on the optimizations, receive a sales quote for one or more products, and display the simulation data, the sales quote, and the recommendation; and

a third computing device configured with non-transitory computer executable instructions to receive the recommendation, generate the sales quote based on the recommendation and transmit the sales quote to the second computing device.

12 . The system of claim 11 , wherein the first computing device is a first server and the third computing device is a second server, and wherein the first server and the second server are part of one server.

13 . The system of claim 11 , wherein the first computing device is a first server and the third computing device is a second server, and wherein the first server and the second server are separate servers.

14 . The system of claim 11 , wherein the first computing device is further configured to receive and maintain at least one of a real-time data and a historical data.

15 . The system of claim 14 , wherein the second computing device is further configured to receive and display, through the GUI, at least one of the real-time data and the historical data, and wherein the one or more optimizations are further determined based on at least one of the real-time data and the historical data.

16 . The system of claim 11 , wherein the third computing device further includes a second database to store at least one of the component library, the model, and the simulation data.

17 . A computing device, comprising:

a processor and a memory including non-transitory computer executable instructions that when executed by the processor cause the computing device to:

receive a component library relating to an HVAC system and generate a model of a customer system based on the component library, the component library including a set of components relating to the HVAC system;

simulate the model of the customer system to generate simulation data;

determine an optimization based on the simulation data and a demand profile;

determine a recommendation based on the optimization and receive a sales quote for a product; and

generate and display a GUI with the component library in a first portion of the GUI, the model of the customer system based on the component library in a second portion of the GUI, and the demand profile and one or more settings of the each of the set of components in the component library in a third portion of the GUI.

18 . The computing device of claim 17 , wherein the computing device is further structured to generate and display a second GUI with the simulation data, the recommendation, and the sales quote.

19 . The computing device of claim 17 , wherein the computing device is further structured to transmit the sales quote and the recommendation to another computing device via email.

20 . The computing device of claim 19 , further comprising:

a database to store at least one of the component library, the model, and the simulation data.

21 . The computing device of claim 17 , wherein the optimization is based on real-time data and historical data.