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WO2024141848A1 - Procédé, système et dispositif de commande de système de compresseur - Google Patents

Procédé, système et dispositif de commande de système de compresseur Download PDF

Info

Publication number
WO2024141848A1
WO2024141848A1 PCT/IB2023/062859 IB2023062859W WO2024141848A1 WO 2024141848 A1 WO2024141848 A1 WO 2024141848A1 IB 2023062859 W IB2023062859 W IB 2023062859W WO 2024141848 A1 WO2024141848 A1 WO 2024141848A1
Authority
WO
WIPO (PCT)
Prior art keywords
switching
sequence
switching sequence
compressor system
initial
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/IB2023/062859
Other languages
English (en)
Inventor
Wim Van Roy
Ramin Abbasi ESFEDEN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Katholieke Universiteit Leuven
Atlas Copco Airpower NV
Original Assignee
Katholieke Universiteit Leuven
Atlas Copco Airpower NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Katholieke Universiteit Leuven, Atlas Copco Airpower NV filed Critical Katholieke Universiteit Leuven
Priority to EP23837420.1A priority Critical patent/EP4643020A1/fr
Priority to AU2023416393A priority patent/AU2023416393A1/en
Priority to KR1020257023910A priority patent/KR20250121128A/ko
Priority to CN202380089608.3A priority patent/CN120604039A/zh
Publication of WO2024141848A1 publication Critical patent/WO2024141848A1/fr
Priority to MX2025007670A priority patent/MX2025007670A/es
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06—Control using electricity
    • F04B49/065—Control using electricity and making use of computers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B41/00—Pumping installations or systems specially adapted for elastic fluids
    • F04B41/06—Combinations of two or more pumps
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/02—Stopping, starting, unloading or idling control
    • F04B49/022—Stopping, starting, unloading or idling control by means of pressure
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
    • F04C23/00—Combinations of two or more pumps, each being of rotary-piston or oscillating-piston type, specially adapted for elastic fluids; Pumping installations specially adapted for elastic fluids; Multi-stage pumps specially adapted for elastic fluids
    • F04C23/001—Combinations of two or more pumps, each being of rotary-piston or oscillating-piston type, specially adapted for elastic fluids; Pumping installations specially adapted for elastic fluids; Multi-stage pumps specially adapted for elastic fluids of similar working principle
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
    • F04C28/00—Control of, monitoring of, or safety arrangements for, pumps or pumping installations specially adapted for elastic fluids
    • F04C28/02—Control of, monitoring of, or safety arrangements for, pumps or pumping installations specially adapted for elastic fluids specially adapted for several pumps connected in series or in parallel
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
    • F04C28/00—Control of, monitoring of, or safety arrangements for, pumps or pumping installations specially adapted for elastic fluids
    • F04C28/28—Safety arrangements; Monitoring

Definitions

  • controller 106 Through the controller 106 the running, switching and idle costs of the compressor system 100 may be managed, thereby reducing wear of components of the different devices while at the same time reducing or otherwise improving the energy consumption of the compressor system 100. To this end, the controller 106 may be configured to schedule operation of components of the compressor system 100 in an optimal manner according to varying embodiments of the present disclosure.
  • the terms “prediction,” “predict,” “predicted” and the like are concerned with estimating outcomes for unseen data, while forecasting is a sub-discipline of prediction in which predictions are made about a future using time-series data. For example, a difference between prediction and forecasting is that in the latter a temporal dimension is considered. In this way, the term “prediction” may also be interpreted as forecasting, yet in the continuation of this description, the term “prediction” will be used.
  • the controller is configured to determine an action profile for the compressor system using an MPC framework taking into account future consumer demand.
  • setpoint 405 past data 410
  • models and a predicted demand may be used to form inputs for the MPC.
  • the past data 410 may comprise past setpoints 402 and their actual values 403, as well as the actions 404 previously taken by the compressor system.
  • the models may include static or dynamic machine models, static or dynamic aimet models, and/or instantaneous flow demand vs. horizon flow demand.
  • Ck represents the capacity of a unit
  • S on ,k represents the running state
  • Sio k represents the load state
  • Pk represents the power in function of the capacity for unit k and the states
  • p(t) represents the pressure of the system
  • p(t) represents the first derivative of the pressure
  • f represents the system dynamics
  • t(S on ,k, Si 0 ,k) represents the timing constraints, to represents the starting time (now)
  • tf represents the final time or the end time of the horizon.
  • the method may be iteratively performed until an optimal sequence and optimal switching times are determined, the optimal sequence and the optimal switching times forming an action profile or schedule for operation of the compressor system.
  • the described iterative STO can advantageously handle a broader scope of actuated units or components than conventional approaches, including compressors such as volumetric compressors, turbo compressors, boosters, blower (low pressure), and the like; air utilities such as dryers, valves, aftercoolers, chillers, O2 generators, N2 generators, and the like; cooling circuits or oil cooling circuits; and energy recovery systems.
  • compressors such as volumetric compressors, turbo compressors, boosters, blower (low pressure), and the like
  • air utilities such as dryers, valves, aftercoolers, chillers, O2 generators, N2 generators, and the like
  • cooling circuits or oil cooling circuits such as oil cooling circuits.
  • energy recovery systems such as passive air utility elements, such as filters, vessels, pipes, etc., which is not achieved in known methods and systems.
  • a prediction horizon according to the current disclosure can be up to 6 hours, up to 8 hours, up to 10 hours, preferably up to 8 hours.
  • the accuracy of the iterative STO of the described methods and systems can be between 0.5 seconds and 5 minutes, more particularly between 0.5 seconds and 3 minutes, or between 3 seconds and 3 minutes, between 10 seconds and 2.5 minutes, less than 5 minutes, less than 4 minutes, less than 3 minutes, less than 2 minutes, less than 1 minute, less than 45 seconds, less than 30 seconds, less than 10 seconds, or less than 5 seconds.
  • Embodiments within the scope of the present disclosure also include physical and other computer-readable media for carrying or storing computer-executable instructions and/or data structures.
  • Such computer-readable media can be any available media that can be accessed by a general-purpose or special-purpose computer system.
  • Computer-readable media that store computer-executable instructions and/or data structures are computer storage media.
  • Computer-readable media that carry computer-executable instructions and/or data structures are transmission media.
  • embodiments of the disclosure can comprise at least two distinctly different kinds of computer-readable media: computer storage media and transmission media.
  • Computer storage media are physical storage media that store computer-executable instructions and/or data structures.
  • Physical storage media include computer hardware, such as RAM, ROM, EEPROM, solid state drives (“SSDs”), flash memory, phase-change memory (“PCM”), optical disk storage, magnetic disk storage or other magnetic storage devices, or any other hardware storage device(s) which can be used to store program code in the form of computer-executable instructions or data structures, which can be included within or accessed and executed by controller 106, a general -purpose, or a special -purpose computer system to implement the disclosed functionality of the disclosure.
  • Transmission media can include a network and/or data links which can be used to carry program code in the form of computer-executable instructions or data structures, and which can be accessed by a general-purpose or special-purpose computer system.
  • a “network” may be defined as one or more data links that enable the transport of electronic data between computer systems and/or modules and/or other electronic devices.
  • program code in the form of computer-executable instructions or data structures can be transferred automatically from transmission media to computer storage media (or vice versa).
  • program code in the form of computer-executable instructions or data structures received over a network or data link can be buffered in RAM within a network interface module (e.g., a “NIC”), and then eventually transferred to computer system RAM and/or to less volatile computer storage media at a computer system.
  • a network interface module e.g., a “NIC”
  • computer storage media can be included in computer system components that also (or even primarily) utilize transmission media.
  • Computer-executable instructions may comprise, for example, instructions and data which, when executed by one or more processors, cause a general-purpose computer system, special-purpose computer system, or special-purpose processing device to perform a certain function or group of functions.
  • Computer-executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, or even source code.
  • the disclosure of the present application may be practiced in network computing environments with many types of computer system configurations, including, but not limited to, personal computers, desktop computers, laptop computers, message processors, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, tablets, pagers, routers, switches, and the like.
  • the disclosure may also be practiced in distributed system environments where local and remote computer systems, which are linked (either by hardwired data links, wireless data links, or by a combination of hardwired and wireless data links) through a network, both perform tasks.
  • a computer system may include a plurality of constituent computer systems.
  • program modules may be located in both local and remote memory storage devices.
  • Cloud computing environments may be distributed, although this is not required. When distributed, cloud computing environments may be distributed internationally within an organization and/or have components possessed across multiple organizations.
  • cloud computing is defined as a model for enabling on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services). The definition of “cloud computing” is not limited to any of the other numerous advantages that can be obtained from such a model when properly deployed.
  • a cloud-computing model can be composed of various characteristics, such as on- demand self-service, broad network access, resource pooling, rapid elasticity, measured service, and so forth.
  • a cloud-computing model may also come in the form of various service models such as, for example, Software as a Service (“SaaS”), Platform as a Service (“PaaS”), and Infrastructure as a Service (“laaS”).
  • SaaS Software as a Service
  • PaaS Platform as a Service
  • laaS Infrastructure as a Service
  • the cloud-computing model may also be deployed using different deployment models such as private cloud, community cloud, public cloud, hybrid cloud, and so forth.
  • a computer-implemented method for controlling a compressor system comprising a set of components which are fluidly connected to a common compressed air distribution network, the method comprising: predicting a future demand for the compressor system; determining an initial switching sequence for operation of at least one component of the set of components that meets the predicted future demand; determining a set of switching times for the initial switching sequence; refining the initial switching sequence on the basis of the set of switching times to form a refined switching sequence; iteratively determining a set of switching times for the refined switching sequence and refining the refined switching sequence on the basis of the set of switching times until a final switching sequence and a final set of switching times are obtained; and controlling operation of the set of components on the basis of the final switching sequence and the final set of switching times.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Control Of Positive-Displacement Pumps (AREA)

Abstract

Sont divulgués des procédés, des systèmes et des appareils pour améliorer la commande et l'efficacité d'un système de compresseur (100). Le système de compresseur comprend un contrôleur (106). Le contrôleur est configuré pour prédire une demande future pour le système de compresseur ; déterminer une séquence initiale en fonction de la demande future prédite ; déterminer un ensemble initial de temps de commutation pour la séquence initiale ; affiner la séquence de commutation initiale en fonction de l'ensemble de temps de commutation pour former une séquence de commutation affinée ; déterminer de façon itérative un ensemble de temps de commutation pour la séquence de commutation affinée et affiner la séquence de commutation affinée en fonction de l'ensemble de temps de commutation jusqu'à ce qu'une séquence de commutation finale et un ensemble final de temps de commutation soient obtenus ; et commander le fonctionnement de l'ensemble de composants en fonction de la séquence de commutation finale et de l'ensemble final de temps de commutation.
PCT/IB2023/062859 2022-12-29 2023-12-18 Procédé, système et dispositif de commande de système de compresseur Ceased WO2024141848A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
EP23837420.1A EP4643020A1 (fr) 2022-12-29 2023-12-18 Procédé, système et dispositif de commande de système de compresseur
AU2023416393A AU2023416393A1 (en) 2022-12-29 2023-12-18 Method, system and device for the control of a compressor system
KR1020257023910A KR20250121128A (ko) 2022-12-29 2023-12-18 압축기 시스템을 제어하기 위한 방법, 시스템, 및 장치
CN202380089608.3A CN120604039A (zh) 2022-12-29 2023-12-18 用于控制压缩机系统的方法、系统及装置
MX2025007670A MX2025007670A (es) 2022-12-29 2025-06-27 Metodo, sistema y dispositivo para controlar un sistema de compresion

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202263477750P 2022-12-29 2022-12-29
US63/477,750 2022-12-29

Publications (1)

Publication Number Publication Date
WO2024141848A1 true WO2024141848A1 (fr) 2024-07-04

Family

ID=89158170

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2023/062859 Ceased WO2024141848A1 (fr) 2022-12-29 2023-12-18 Procédé, système et dispositif de commande de système de compresseur

Country Status (8)

Country Link
EP (1) EP4643020A1 (fr)
KR (1) KR20250121128A (fr)
CN (1) CN120604039A (fr)
AU (1) AU2023416393A1 (fr)
BE (1) BE1031134B1 (fr)
MX (1) MX2025007670A (fr)
TW (1) TW202436758A (fr)
WO (1) WO2024141848A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119179314A (zh) * 2024-11-26 2024-12-24 赛悟德半导体科技(上海)股份有限公司 一种基于气体供应设备的自动化切换方法及系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008009073A1 (fr) 2006-07-18 2008-01-24 Atlas Copco Airpower, Naamloze Vennootschap Procédé de commande d'une unité d'air comprimé, dispositif de commande et unité d'air comprimé pour appliquer ce procédé
WO2008009072A1 (fr) 2006-07-18 2008-01-24 Atlas Copco Airpower, Naamloze Vennootschap Procédé permettant de commander une installation d'air comprimé, dispositif de commande et installation d'air comprimé employant un tel procédé
US20120029706A1 (en) * 2008-12-23 2012-02-02 Kaeser Kompressoren Gmbh Simulation-Supported Method for Controlling and Regulating Compressed Air Stations
US11162492B2 (en) * 2008-12-23 2021-11-02 Kaeser Kompressoren Se Method for controlling a compressor installation

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008009073A1 (fr) 2006-07-18 2008-01-24 Atlas Copco Airpower, Naamloze Vennootschap Procédé de commande d'une unité d'air comprimé, dispositif de commande et unité d'air comprimé pour appliquer ce procédé
WO2008009072A1 (fr) 2006-07-18 2008-01-24 Atlas Copco Airpower, Naamloze Vennootschap Procédé permettant de commander une installation d'air comprimé, dispositif de commande et installation d'air comprimé employant un tel procédé
US20120029706A1 (en) * 2008-12-23 2012-02-02 Kaeser Kompressoren Gmbh Simulation-Supported Method for Controlling and Regulating Compressed Air Stations
US11162492B2 (en) * 2008-12-23 2021-11-02 Kaeser Kompressoren Se Method for controlling a compressor installation

Also Published As

Publication number Publication date
CN120604039A (zh) 2025-09-05
BE1031134B1 (nl) 2025-01-07
AU2023416393A1 (en) 2025-07-10
EP4643020A1 (fr) 2025-11-05
KR20250121128A (ko) 2025-08-11
BE1031134A1 (nl) 2024-07-08
MX2025007670A (es) 2025-09-02
TW202436758A (zh) 2024-09-16

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