METHOD AND APPARATUS FOR ANALYSIS OF ENERGY INPUT DURING OPERATION OF A PRODUCTION SYSTEM

• US 20120245754A1
• Filed: 12/04/2010
• Published: 09/27/2012
• Est. Priority Date: 12/05/2009
• Status: Abandoned Application

• Current Assignee: Jens Mehnert
• Original Assignee: Jens Mehnert
• Inventors: Mehnert, Jens
• Application Number:
  US13/513,962
• Publication Number:
  US 20120245754A1
• Time in Patent Office: Days
• US Class Current: 700/297
• CPC Class Codes: G01D 2204/28 Processes or tasks scheduled according to the power required, the power available or the power price
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: H02J 13/00016 using a wired telecommunication network or a data transmission bus
• CPC Class Codes: H02J 13/00026 involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/30 State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
• CPC Class Codes: Y04S 20/00 Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
• CPC Class Codes: Y04S 20/221 General power management systems
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/124 using wired telecommunication networks or data transmission busses
• CPC Class Codes: Y04S 40/126 using wireless data transmission

Abstract

A method analyzes the energy use during an operation of a production system containing machines and supply equipment having an energy demand that can be determined and planning apparatuses for the work orders to be carried out by the machines. The energy-related parameters of the machines are determined and divided into representative load spectra by an energy control unit. Energy recovery values to be expected on average depending on the media are assigned to the load spectra. The respective time fractions of the load spectra for possible work orders and machine combinations are determined from the work orders to be carried, and the energy demand per machine for carrying out a work order is determined therefrom. A device is provided for performing the method.

Claims

1-12. -12. (canceled)

13. A method for reducing energy input during operation of a production system having machines and supply equipment with determinable energy demands and energy planning units for work orders to be implemented in the machines, which comprises the steps of:

determining energy-related parameters of the machines and classifying the energy-related parameters into representative load spectra being classes of operating states of the machines via an energy control unit;

assigning expected average energy recovery values to the representative load spectra media-dependently;

determining respective time fractions for the load spectra based on time periods for the work orders and machine combinations by a planning unit;

determining, via the energy control unit, energy needs for each appropriate one of the machines for implementing a work order; and

assigning, via at least one of the energy control unit or the planning unit, the work orders to a machine, which shows lowest energy needs value in comparison to other ones of the machines.

14. The method according to claim 13, which further comprises determining at least one of energy needs of drives, media pressures to be provided, media volume streams, or temperatures to be set as the energy-relevant parameters of the machines.

15. The method according to claim 13, wherein the energy control unit stores determined energy needs for each of the machines to implement a work order and constructs a priority sequence in accordance with respectively calculated energy needs.

16. The method according to claim 13, which further comprises determining, via one of the energy control unit or the planning unit, periods with energy-intensive work orders of the production system, the energy planning unit performing a period-dependent energy cost comparison, and thereafter, the energy control unit or the planning unit controls a time-related sequence of execution of the work orders such that the energy-intensive work orders are performed in periods with low energy costs.

17. The method according to claim 13, which further comprises:

determining via the energy control unit the energy needs dependent upon outdoor temperatures of the supply equipment for each medium and period;

determining excess energy for each medium and period from a previously planned sequence of execution of the work orders for each of the machines; and

providing at least one of a media-specific energy exchange between the machines or the machines and the supply equipment in such a way that total energy needs of the production system is at a minimum.

18. The method according to claim 13, which further comprises:

determining, via the energy control unit, the energy needs dependent upon outside temperatures of the supply equipment for each medium and period; and

determining excess energy for each medium from a previously planned sequence of execution of the work orders for each of the machines and correcting a previously planned work series of the work orders in such a way that total energy needs of the production system is at a minimum.

19. The method according to claim 13, wherein energy stored in an energy storage unit is connected with a minimum length of a media line for media transfer to at least one of the machines or the supply equipment to the production system.

20. The method according to claim 19, wherein the energy storage unit is connected to an energy conversion unit, in which stored energy is converted to another kind of energy.

21. An apparatus for implementing a method for reducing energy input during operation of a production system having machines and supply equipment with determinable energy demands and energy planning units for work orders to be implemented in the machines, the apparatus comprising:

shut-off means;

data and control lines; and

an energy control unit being connected to elements of the production system by means of said data and control lines, said energy control unit being able to determine energy-related parameters of the machines continuously and to assign them to classes of operating states of the machines, said energy control unit connected with at least one of the energy planning units of the production system or an energy control unit of a power plant on a wireless basis, an internal network basis, the Internet, or in accordance with a scheme as dictated by said energy control unit, whereby a connection can be separated by said energy control unit by means of said shut-off means.

22. The apparatus according to claim 21, further comprising:

media lines; and

shut-off valves disposed in said media lines, the machines and the supply equipment are connected by said media lines having said shut-off valves, constructing a media-dependent connection structure.

23. The apparatus according to claim 22, wherein said media-dependent connection structure includes an energy storage unit.

24. The apparatus according to claim 22, wherein said media-dependent connection structure includes an energy conversion unit.