EP1846660B1 - Procede d'optimisation du fonctionnement de plusieurs groupes de compresseurs et dispositif correspondant - Google Patents

Procede d'optimisation du fonctionnement de plusieurs groupes de compresseurs et dispositif correspondant Download PDF

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Publication number
EP1846660B1
EP1846660B1 EP06707973A EP06707973A EP1846660B1 EP 1846660 B1 EP1846660 B1 EP 1846660B1 EP 06707973 A EP06707973 A EP 06707973A EP 06707973 A EP06707973 A EP 06707973A EP 1846660 B1 EP1846660 B1 EP 1846660B1
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Prior art keywords
compressor
units
plant
compressor units
control device
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German (de)
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EP1846660A1 (fr
EP1846660B8 (fr
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Michael Metzger
Helmut Liepold
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Siemens AG
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Siemens AG
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04D—NON-POSITIVE-DISPLACEMENT PUMPS
    • F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
    • F04D27/02—Surge control
    • F04D27/0269—Surge control by changing flow path between different stages or between a plurality of compressors; load distribution between compressors

Definitions

  • the invention relates to a method for controlling a compression system with at least two separately zu- and / or turn-off compressor units, with a plurality of devices for changing the performance of the compressor units and with a control device.
  • the invention relates to a control device for controlling a compression system with at least two separately zu- and / or turn off compressor units and with a plurality of devices for changing the performance of the compressor units.
  • Compaction plants for example natural gas compression plants, for gas transport and / or gas storage are essential facilities in the sense of national and international energy supply.
  • a system for gas transport consists of a plurality of compression systems, which can each consist of several compressor units.
  • the task of the compressor units is to add a sufficient amount of mechanical energy to a pumped medium in order to compensate for friction losses and to ensure the required operating pressures or flows.
  • Compressor units often have very different drives and wheels, as they are designed for example for a base load or a peak load operation.
  • a compressor unit includes e.g. at least one drive and at least one compressor.
  • Plant automation is especially important for cost-effective driving.
  • the ability of plant automation to guide the process, and the Optimizing the compaction plant within production constraints provides decisive economic benefits.
  • compressors of a compression plant are driven by turbines that cover their fuel needs directly from a pipeline.
  • compressors are driven by electric motors. Cost-effective driving means to minimize the energy consumption of the turbines and the electric drives for a given compression capacity, flow rate, delivery capacity and / or given volume flow.
  • a useful operating range of compressors is limited by adverse effects of internal flow processes. This results in operating limits, such as a temperature limit, exceeding the local speed of sound (compression shock, sip limit), the circumferential tearing off of the flow at the impeller or the surge line.
  • the automation of a compression system has primarily the task of a dispatching center predetermined setpoints, such as either a flow through the station or a final pressure on the output side to realize as actual values. Specified limits for the suction pressures at the inlet side, the final pressures at the outlet side and the final temperature at the system outlet must not be exceeded.
  • WO 03/036096 A1 a method for optimizing the operation of multiple compressor units of a natural gas compression station is known.
  • the speeds of the running compressor units are run in a fixed speed ratio with respect to stored for each compressor unit map data.
  • the speeds of all are in operation after starting an additional compressor units are changed by an equal percentage flow adjustment until, if possible, all pump preventive valves of the system are closed. Only after all the pump preventive valves are closed, operating points of the compressor unit are pushed in their maps as close as possible to a line of maximum efficiency.
  • EP 0 769 624 B1 For example, a method is known for balancing the load between multiple compressors and manipulating the performance of the compressors to maintain a predetermined relationship between all the compressors when the operating points of all the compressors are farther than a specified value from the surge line.
  • EP 0 576 238 B1 For example, a method and apparatus for load sharing is known. With a designated as a guide compressor compressor, a control signal is generated, which is used as a reference for the non-leading compressor.
  • the invention has for its object to provide a method and apparatus for further optimization of energy consumption for operation of multiple compressor units of a compaction system.
  • This object is inventively achieved in that, for presetting of new setpoints or change of the current state of the compressor plant by means of an optimization calculation from a current switching configuration of the compressor units with regard to an optimized total energy demand of the compressor plant, a new switching configuration is calculated, and that the new switching configuration is set automatically via the control device.
  • An advantage of the invention is that, in the optimization of all compressor units available or operable on the respective compacting system, it can be assumed that they are independent of their respective operating or switching state.
  • the invention allows - in contrast to known controls for compression systems - as a result of the optimization of an automatic connection of a previously out of service compressor unit or a complete shutdown of a compressor unit.
  • automatically means “online” in particular, meaning that it can automatically mean, for example, that the switching configuration is used by the operating staff of the compacting system without manual intervention, preferably in real time.
  • Real time means that the result of a calculation is guaranteed within a certain period of time, that is, before a certain time limit has been reached.
  • the optimization calculation can take place on a separate data processing system, which automatically forwards its calculation data to the control device.
  • the invention is based on the known sequential concept, ie after the start of an externally specified additional unit, first to close the pump-preventive valves and then to optimize the operating points of the compressor units with regard to their efficiency.
  • the entire compaction plant is preferably considered during each optimization calculation and the switching configuration of the compaction plant, ie the specification of a switching state of the individual compressor units, calculated.
  • the closing of the or all of the pump preventive valves can be ensured by a minimum flow through the compressor units in the optimization. Even a first start of the compression system can already with a favorable with regard to an optimized total energy demand switching configuration done.
  • the switching configuration is represented by the switching states "0" for Off or "1" for On, which is stored bit by bit, for example, in an integer variable.
  • switching operation is meant the change from one, in particular electrical, switching state to another.
  • a prognosis is determined by means of the optimization calculation for at least one, preferably several, future time (s). Since the method allows for predictions up to a given time, it is possible to know about a normal driving style of the station, i. e.g. a conventional load curve to use to minimize the switching frequency of compressor units.
  • compressor unit-specific data records and / or compressor unit-specific maps evaluated and determined for the individual compressor units operating points which depend on predetermined or changed values of mass flow and a specific production work, the operating points are set such that the total energy demand the compaction plant is optimized.
  • the data sets and / or maps are specified as a function of a mass flow and a specific production work of the individual compression units.
  • a load distribution ie a speed ratio, calculated between the compressor units and changed if necessary.
  • Another significant advantage is that constraints on the optimization, e.g. The pumping limit can not be violated, even with an optimal efficiency calculation of the speed setpoints for the individual compressor stations can be considered.
  • optimization calculation is carried out with a control cycle, in particular self-triggering.
  • speed setpoint values and / or the new switching configuration for the control device are provided as output variables of the optimization calculation with each control cycle.
  • the speed setpoints and / or the switching configuration are kept constant.
  • the speed setpoints are scaled with a common factor and used as a setpoint for a compressor unit controller.
  • control device with the new switching configuration triggers a warm-up phase of the compressor units for the subsequent connection of a previously out of service compressor unit already before the end of the control cycle.
  • a load readiness for the next control cycle is communicated with the end of the warm-up phase of the control device. If, for example, the speed of an approaching compressor unit is sufficient is high and the warm-up phase of the turbine is completed, a signal "load ready" is set. This means that the compressor unit participates in the load sharing procedure and is included in the optimization calculation for the best load distribution between those in service.
  • the optimization calculation according to the principle of model-predictive control by means of forecast calculations minimizes the total energy demand expected up to a later point in time.
  • an energy consumption of a switching operation is taken into account in the optimization calculation.
  • the energy consumption of the switching process from the data sets and / or the maps of the compressor units is calculated.
  • the knowledge of a proportionate energy consumption for the switching process allows an even more accurate determination of the minimum total energy consumption of the compression plant.
  • An advantageous variant of the invention is that the specific conveying work of the compressor system for the control cycle is assumed to be constant, in particular in a parallel connection of the compressor units.
  • An alternative advantageous variant of the invention is that the mass flow of the compressor system for the control cycle is assumed to be constant, in particular in a series circuit of the compressor units.
  • an active compressor unit is operated at least with a predetermined or predetermined minimum flow.
  • the optimization calculation is carried out by means of a branch-and-bound algorithm.
  • a limit to the branch-and-bound algorithm is determined by solving a relaxed problem using sequential quadratic programming.
  • a further increase in the efficiency of the calculation method is achieved in that the optimization calculation solves partial problems by means of dynamic programming, in particular in a series connection.
  • the device-related task is based on the above-mentioned control device solved by an optimization module with the new setpoints or change the current state of the compression system by means of an optimization calculation of a current switching configuration of the compressor units with respect to an optimized total energy demand of the compression plant a new switching configuration is calculated, and by a control module, with which the new switching configuration is automatically adjustable.
  • the optimization module for optimizing the energy consumption is in particular designed to distribute in combination with the control device and / or the dispatching center the predetermined total load on the individual compressor units so that the station setpoints with the lowest possible energy consumption, i. with maximum overall efficiency, be realized.
  • This includes, for example, both the decision which compressor units are active and which are switched inactive, as well as the specification of how much each of the active units should contribute to the overall performance, so the specification of the load distribution.
  • the optimization module is arranged at a spatial distance, in particular several km, to the control device.
  • the optimization module is prepared for the consideration of an energy consumption of a switching operation.
  • Another embodiment is that the optimization module for optimization calculation for a plurality of control devices of several compression systems is prepared.
  • the invention also includes a computer program product containing software for carrying out a method according to one of claims 1 to 21.
  • a machine-readable program code on a data carrier, it is possible to prepare DV systems for an optimization module.
  • the maps 20 are not provided by a closed formula. From a measurement, a delivery characteristic 21 and an efficiency curve 23 are determined. At a constant speed, the dependence on the conveying work and an efficiency ⁇ i on the volume flow V ⁇ i or mass flow ⁇ at support points is determined.
  • the operating limits such as a surge line 36, which are caused by the occurrence of certain flow phenomena in the compressor, must be recorded as a function of the speed. From these interpolation points and the associated values for different speeds, the maps 20 can be constructed as a function of mass flow ⁇ i and specific conveying work y i and their domain of definition by means of suitable approaches, such as piecewise polynomial interpolation or B-splines.
  • Equation 2 When connected in series compressor units 3, 4, 5, the entire conveying work on the individual compressor units 3, 4, 5 distributed energy optimal, the mass flow is assumed to be the same by the compressors.
  • FIG. 1 shows a block diagram of a method for optimizing the operation of a compression plant.
  • the compression plant is equipped with three compressor units 3, 4 and 5 shown in a very schematic way. For an interconnection of the compressor units 3, 4 and 5, a parallel connection is assumed.
  • the compressor units 3, 4 and 5 are controlled and regulated by a control device 10.
  • the control device 10 comprises a controller of the control device 12, a first compressor unit controller 13, a second compressor unit controller 14 and a third compressor unit controller 15.
  • An optimization module 11 is in bidirectional communication with the controller 10. By means of the optimization module 11, a nonlinear mixed-integer optimization problem is solved , A mathematical formulation of the optimization problem is implemented in the optimization module 11.
  • the input variables 33 are composed of a model library 26, with a model 24a, 24b, 24c for each compressor unit 3, 4, 5 and process variables of the compactor.
  • the setpoint values or limit values 31 for the control of the control device 12 are made up of a maximum temperature T g, A, max of a pressure P g, A (Should) and a volume flow V ⁇ g (Should) on the output side of the compression system and a maximum suction pressure P g , E (max) and P g, A (max) on the input side and the output side of the compression system together.
  • the compression system is calculated by means of the optimization calculation in the optimization module 11 from a current switching configuration S i, t-1 of the compressor units 3, 4 and 5 with respect to an optimized total energy demand of the compression system, a new switching configuration S i, t .
  • the output variables 32 of the optimization module 11 thus also contain, in addition to the switching states of the compressor units currently to be set, a speed setpoint input ⁇ i for the individual compressor units 3, 4 and 5.
  • the speed setpoints ⁇ i From the subordinate station control, which runs higher than the optimization cycle, the speed setpoints ⁇ i , before being applied to the compressor aggregate controllers, scaled by a common factor ⁇ to regulate the setpoints.
  • the optimization calculation is executed with a control cycle R in the optimization module 11 itself triggering.
  • the load distribution between the compressor units, ie the efficiency of optimum speed setpoint values ⁇ i for the individual compressor units 3, 4 and 5 are cyclically executed in addition to the calculation of a possible switching configuration S i, t .
  • the desired speed values ⁇ i and the shift configuration S i, t-1 are kept constant.
  • the new switching configuration is now operated by three out of three compressor units. Since the result of the optimization calculation is known before the end of the control cycle, a warm-up phase is started for the third compressor unit 5 to be approached. Upon completion of the control cycle R, the new values of the control device 10 and in particular the compressor unit regulators 13, 14, 15 are provided. The previously prepared with a warm-up compressor unit 5 can now be seamlessly connected to the new control cycle R and the optimal total energy consumption for the required flow rate or the required flow rate V ⁇ g (Should) is given again.
  • FIG. 2 shows a compressor-specific map 20 of a compressor unit 3.
  • Efficiency optimal operating points 22 are close to the pumping limit 36 on an efficiency curve 23 with a high efficiency ⁇ 3, max .
  • the mathematical formulation of the maps 20 as a calculation function is part of the optimization module 11 or the optimization calculation.
  • FIG. 3 shows a control device 10 for controlling a compression system 1.
  • the determined by the optimization module 11 optimal speed setpoints ⁇ i and the new switching configuration S i, t are, in cooperation with the controller 10, via an adjusting module S to the compressor units 3, 4 and 5 set and / or regulated.
  • control device 10 As a controlled variable for a control of the control device 10, in particular that variable of flow, suction pressure, discharge pressure and end temperature, which has the smallest positive control deviation, is used.
  • the control of the control device 10 supplies as output together with the optimization module, the setpoint values for a single compressor unit controller 13, 14, 15 see Fig. 2 ,
  • FIG. 4 shows a flowchart of the method steps 40, 42, 44 and 46.
  • the optimization process is initiated cyclically.
  • the current state of the compressor station 1 is determined. The following values are recorded: actual values 30, setpoints 31, limit values and boundary conditions 37 and models 24a, 24b, and 24c from the model library 26.
  • the current switching state S i , t-1 of the compression plant 1 is determined.
  • a third method step 44 represents a decision point. The decision is made with the third method step 44 perform an optimization calculation 46 in a fourth method step or end the method 48. On the basis of the present actual values 30 and set values 31, it can be decided whether an optimization calculation is necessary.
  • the method will continue with the fourth method step 46.
  • the fourth method step 46 the mixed-integer optimization problem is solved.
  • Input variables for the fourth method step 46 are again actual values 30, setpoint values 31, limit values and boundary conditions 37 and the models from a model library 26.
  • speed setpoint values ⁇ i and new switching states S i, t are output.
  • the method is ended 48. With the cyclical initiation from the first method step 40, the method is run through again.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Control Of Positive-Displacement Pumps (AREA)
  • Control Of Positive-Displacement Air Blowers (AREA)
  • Feedback Control In General (AREA)
  • Separation By Low-Temperature Treatments (AREA)
  • Compressor (AREA)
  • Applications Or Details Of Rotary Compressors (AREA)
  • Control Of Multiple Motors (AREA)

Claims (26)

  1. Procédé pour la commande d'une installation de compression (1) comprenant au moins deux groupes compresseurs (i = 1, ..., N) pouvant être connectés et/ou déconnectés séparément, une pluralité de dispositifs pour la modification du rendement des groupes compresseurs (i = 1, ..., N) et un dispositif de commande (10),
    caractérisé en ce que, en cas de spécification de nouvelles valeurs prévues ou de modification de l'état actuel de l'installation de compression (1), une nouvelle configuration de commutation (Si,t) est calculée au moyen d'un calcul d'optimisation à partir d'une configuration de commutation actuelle (Si,t-1) des groupes compresseurs (i =1, ..., N) en ce qui concerne un besoin en énergie total (EG) optimisé de l'installation de compression (1), et en ce que la nouvelle configuration de commutation (Si,t) est réglée automatiquement par le dispositif de commande (10).
  2. Procédé selon la revendication 1,
    caractérisé en ce qu'une prévision est déterminée au moyen du calcul d'optimisation pour au moins un, de préférence plusieurs moments (t) futurs.
  3. Procédé selon la revendication 1 ou 2,
    caractérisé en ce que des ensembles de données spécifiques au groupe compresseur et/ou des champs caractéristiques (20) spécifiques au groupe compresseur sont analysés et des points de travail (22) sont déterminés pour les différents ensembles compresseurs (i = 1, ..., N), lesquels points dépendent de valeurs prédéfinies respectivement modifiées du flux massique m et d'un travail de transport (y) spécifique, les points de travail (22) étant réglés de telle sorte que le besoin en énergie total (EG) de l'installation de compression (1) est optimisé.
  4. Procédé selon la revendication 3,
    caractérisé en ce que les ensembles de données et/ou champs caractéristiques (20) sont donnés en fonction d'un flux massique (ṁi) ou d'un flux volumique (v̇i) correspondant d'un travail de transport (λi) spécifique des différents ensembles de compression (i = 1, ..., N).
  5. Procédé selon l'une quelconque des revendications 1 à 4, caractérisé en ce que, lors du calcul d'optimisation, une répartition de charge entre les groupes compresseurs (i = 1, ..., N) est calculée en supplément de la configuration de commutation (Si,t) et est modifiée éventuellement.
  6. Procédé selon l'une quelconque des revendications 1 à 5, caractérisé en ce que le calcul d'optimisation est effectué avec un cycle de réglage (R), en particulier de façon autodéclenchante.
  7. Procédé selon la revendication 6,
    dans lequel des valeurs prévues du régime (λi) et/ou la nouvelle configuration de commutation (Si,t) pour le dispositif de commande sont mises à disposition comme valeurs de départ (32) du calcul d'optimisation avec chaque cycle de réglage (R).
  8. Procédé selon la revendication 7,
    caractérisé en ce que, pour la durée du cycle de réglage (R), qui est en particulier plusieurs fois égale à un temps de cycle (Z) d'un réglage (12) du dispositif de commande (10), les valeurs prévues du régime (λi) et/ou la configuration de commutation (Si,t) sont maintenues constantes.
  9. Procédé selon l'une quelconque des revendications 7 ou 8, dans lequel les valeurs prévues du régime (λi) sont graduées avec un facteur (α) commun et sont utilisées comme valeur prévue pour un régulateur de groupe compresseur (13, 14, 15).
  10. Procédé selon l'une quelconque des revendications 1 à 9, dans lequel le dispositif de commande (10) déclenche avec la nouvelle configuration de commutation (Si,t = 1), avant même la fin du cycle de réglage (R), une phase d'échauffement des groupes compresseurs (i = 1, ..., N) pour la commutation ultérieure d'un ensemble compresseur (Si,t-1 = 0) se trouvant auparavant hors service.
  11. Procédé selon la revendication 10,
    caractérisé en ce qu'une disponibilité de charge pour le prochain circuit de réglage (R) est signalée avec la fin de la phase d'échauffement du dispositif de commande (10).
  12. Procédé selon l'une quelconque des revendications 1 à 11, dans lequel, comme entrée (23) pour le calcul d'optimisation,
    - un modèle (24) des différents groupes de compression (i = 1, ..., N) et/ou
    - une bibliothèque modèle (26) de l'ensemble de l'installation de compression (1) et/ou
    - un travail de transport (yi,t-1) spécifique actuel des différents groupes de compression (i = 1, ..., N), et/ou
    - un travail de transport (yg,t-1) spécifique actuel de l'installation de compression (1) et/ou
    - un débit massique (ṁi,t-1) actuel traversant le groupe de compression (i = 1, ..., N) individuel, en particulier un compresseur individuel et/ou
    - un flux massique (ṁg,t-1) actuel traversant l'installation de compression (1) et/ou
    - la configuration de commutation (Si,t-1) actuelle et/ou
    - une pression d'aspiration (pg,E) sur le côté entrée (E) de l'installation de compression (1) et/ou
    - une pression d'aspiration (pi,E) sur le côté entrée de l'ensemble de compression individuel et/ou
    - une pression finale (pg,A) sur le côté sortie (A) de l'installation de compression (1) et/ou
    - une pression finale (pi,A) sur le côté sortie du groupe compresseur (i = 1, ..., N) individuel et/ou
    - une température (Tg,A) sur le côté sortie (A) de l'installation de compression (1) et/ou
    - une température (Tg,E) sur le côté entrée (E) de l'installation de compression (1) et/ou
    - une température (Ti,A) sur le côté sortie des groupes de compression (i = 1, ..., N) individuels et/ou
    - une température (Ti,E) sur le côté entrée des groupes de compression (i = 1, ..., N) individuels et/ou
    - les régimes actuels des ensembles compresseurs sont analysés.
  13. Procédé selon l'une quelconque des revendications 1 à 12, dans lequel le calcul d'optimisation minimise le besoin d'énergie total escompté jusqu'à un moment (t) ultérieur selon le principe du réglage à prédiction par modèle au moyen de calculs de prévision.
  14. Procédé selon l'une quelconque des revendications 1 à 13, caractérisé en ce qu'une consommation d'énergie (ES) d'une opération de commutation est prise en compte dans le calcul d'optimisation.
  15. Procédé selon la revendication 14,
    caractérisé en ce que la consommation (Es) de l'opération de commutation est calculée à partir des ensembles de données et/ou des champs caractéristiques (20) des groupes compresseurs (i = 1, ..., N).
  16. Procédé selon l'une quelconque des revendications 1 à 15,
    caractérisé en ce que le travail de transport (yg) spécifique de l'installation de compresseur (1) est supposé constant pour le cycle de réglage (R), en particulier avec un montage parallèle des groupes compresseurs (i = 1, ..., N).
  17. Procédé selon l'une quelconque des revendications 1 à 15,
    caractérisé en ce que le flux massique (ṁg) de l'installation de compresseur (1) est supposé constant pour le cycle de réglage (R), en particulier avec un montage en série de groupes compresseurs (i = 1, ..., N).
  18. Procédé selon l'une quelconque des revendications 1 à 17, dans lequel un groupe compresseur (Si = 1) actif est exploité au moins avec un débit (ṁimin) minimum prédéfinissable ou prédéfini.
  19. Procédé selon l'une quelconque des revendications 1 à 18, dans lequel le calcul d'optimisation est effectué au moyen d'un algorithme Branch-and-Bound.
  20. Procédé selon la revendication 19,
    dans lequel une limite (G) est calculée pour l'algorithme Branch-and-Bound par la résolution d'un problème relaxé au moyen d'un Sequential-Quadratic-Programming.
  21. Procédé selon l'une quelconque des revendications 1 à 20,
    dans lequel le calcul d'optimisation résout des problèmes partiels au moyen d'une programmation dynamique, en particulier avec un montage en série.
  22. Dispositif de commande (10) pour la commande d'une installation de compression (1) comprenant au moins deux groupes compresseurs (i = 1, ..., N) connectables et/ou déconnectables séparément et une pluralité de dispositifs pour la modification du rendement des groupes compresseurs (i = 1, ... , N) ,
    caractérisé par
    - un module d'optimisation (11), avec lequel, en cas de spécification de nouvelles valeurs prévues ou de modifications de l'état actuel de l'installation de compression, une nouvelle configuration de commutation (Si,t) peut être calculée au moyen d'un calcul d'optimisation à partir d'une configuration de commutation (Si,t-1) actuelle des groupes compresseurs (i = 1, ..., N) en ce qui concerne un besoin d'énergie total (EG) optimisé de l'installation de compression (1), et
    - par un module de réglage (S), avec lequel la nouvelle configuration de commutation (Si,t) peut être réglée automatiquement.
  23. Dispositif de commande (10) selon la revendication 22,
    caractérisé en ce que le module d'optimisation (11) est disposé à une distance dans l'espace, en particulier plusieurs km, par rapport au dispositif de commande (10).
  24. Dispositif de commande selon l'une quelconque des revendications 22 à 23,
    caractérisé en ce que le module d'optimisation est mise en place pour la prise en compte d'une consommation d'énergie (Es) d'une opération de commutation.
  25. Dispositif de commande selon l'une quelconque des revendications 22 à 24,
    caractérisé en ce que le module d'optimisation (11) est mis en place pour le calcul d'optimisation pour une pluralité de dispositifs de commande de plusieurs installations de compression.
  26. Produit de programme informatique contenant un logiciel pour la mise en oeuvre d'un procédé selon l'une quelconque des revendications 1 à 21.
EP06707973A 2005-02-11 2006-02-02 Procede d'optimisation du fonctionnement de plusieurs groupes de compresseurs et dispositif correspondant Active EP1846660B8 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PL06707973T PL1846660T3 (pl) 2005-02-11 2006-02-02 Sposób optymalizacji pracy kilku agregatów sprężarkowych i odpowiednie urządzenie do tego

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102005006410A DE102005006410A1 (de) 2005-02-11 2005-02-11 Verfahren zur Optimierung des Betriebs mehrerer Verdichteraggregate und Vorrichtung hierzu
PCT/EP2006/050612 WO2006084817A1 (fr) 2005-02-11 2006-02-02 Procede d'optimisation du fonctionnement de plusieurs groupes de compresseurs et dispositif correspondant

Publications (3)

Publication Number Publication Date
EP1846660A1 EP1846660A1 (fr) 2007-10-24
EP1846660B1 true EP1846660B1 (fr) 2009-04-08
EP1846660B8 EP1846660B8 (fr) 2009-11-11

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US (1) US7676283B2 (fr)
EP (1) EP1846660B8 (fr)
CN (1) CN101155995A (fr)
AT (1) ATE428055T1 (fr)
AU (1) AU2006212264A1 (fr)
BR (1) BRPI0606994A2 (fr)
CA (1) CA2597519A1 (fr)
DE (2) DE102005006410A1 (fr)
DK (1) DK1846660T3 (fr)
ES (1) ES2321872T3 (fr)
MX (1) MX2007009728A (fr)
NO (1) NO20074604L (fr)
PL (1) PL1846660T3 (fr)
RU (1) RU2381386C2 (fr)
UA (1) UA88045C2 (fr)
WO (1) WO2006084817A1 (fr)

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WO2006084817A1 (fr) 2006-08-17
US7676283B2 (en) 2010-03-09
UA88045C2 (ru) 2009-09-10
MX2007009728A (es) 2007-09-26
RU2381386C2 (ru) 2010-02-10
NO20074604L (no) 2007-09-11
PL1846660T3 (pl) 2010-01-29
ATE428055T1 (de) 2009-04-15
CN101155995A (zh) 2008-04-02
DE502006003377D1 (de) 2009-05-20
DK1846660T3 (da) 2009-07-27
CA2597519A1 (fr) 2006-08-17
RU2007133792A (ru) 2009-03-20
ES2321872T3 (es) 2009-06-12
AU2006212264A1 (en) 2006-08-17
EP1846660A1 (fr) 2007-10-24
EP1846660B8 (fr) 2009-11-11
DE102005006410A1 (de) 2006-08-17
BRPI0606994A2 (pt) 2009-07-28
US20080131258A1 (en) 2008-06-05

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