EP3564601A1 - Régulation prédictive d'une pompe à chaleur - Google Patents

Régulation prédictive d'une pompe à chaleur Download PDF

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Publication number
EP3564601A1
EP3564601A1 EP19170603.5A EP19170603A EP3564601A1 EP 3564601 A1 EP3564601 A1 EP 3564601A1 EP 19170603 A EP19170603 A EP 19170603A EP 3564601 A1 EP3564601 A1 EP 3564601A1
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EP
European Patent Office
Prior art keywords
heat pump
heat transfer
heat
variables
pump system
Prior art date
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Granted
Application number
EP19170603.5A
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German (de)
English (en)
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EP3564601B1 (fr
Inventor
Roland Clauss
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Vaillant GmbH
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Vaillant GmbH
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B30/00Heat pumps
    • F25B30/02Heat pumps of the compression type
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B49/00Arrangement or mounting of control or safety devices
    • F25B49/02Arrangement or mounting of control or safety devices for compression type machines, plants or systems
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2339/00Details of evaporators; Details of condensers
    • F25B2339/04Details of condensers
    • F25B2339/047Water-cooled condensers
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2600/00Control issues
    • F25B2600/25Control of valves
    • F25B2600/2513Expansion valves
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2700/00Sensing or detecting of parameters; Sensors therefor
    • F25B2700/15Power, e.g. by voltage or current
    • F25B2700/151Power, e.g. by voltage or current of the compressor motor
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2700/00Sensing or detecting of parameters; Sensors therefor
    • F25B2700/21Temperatures
    • F25B2700/2117Temperatures of an evaporator
    • F25B2700/21171Temperatures of an evaporator of the fluid cooled by the evaporator

Definitions

  • the invention relates to a method for controlling or controlling linear or non-linear dynamic systems of a heat pump system, in which the outputs of the system are estimated in advance and included in the scheme.
  • Heat pumps have long been state of the art.
  • a heat pump consists of a refrigerant circuit with an evaporator, a compressor, a heat sink, a condenser and a heat source.
  • a refrigerant having a low boiling point at a low temperature is vaporized with heat absorption and then compressed while remaining heated but gaseous.
  • the heated gas is then fed to a heater in which it gives off heat to the environment, usually the interior of a residential building, and condenses. Then it is relaxed, usually in an isenthalp throttle valve, cools down and is then returned to the heat source, this is usually soil or ambient air.
  • a maximum utilization of the heat pump can only be achieved by a meaningful integration of restriction sizes. For most concepts, these are not calculated accurately enough or integrated into the concept, which can lead to low or high pressure shutdowns of the heat pump. Furthermore, the heat exchanger often freezes, even in situations where freezing can be avoided using a model-based design.
  • Model-based predictive control concepts are ideally suited for regulating coupled multivariable systems. Due to the fact that the controller is based essentially on the essential dynamic properties of the input and output variables in the form of a model, a high degree of control quality can be achieved. This model is purely mathematical, it does not need to include ambient temperatures, weather forecasts and typical user behavior in the control concept, nor to implement a physical model.
  • the outputs y of the system can be predicted and included in the control for a certain prediction horizon.
  • the controller responds early to a changing reference variable and can ideally follow this, taking into account restrictions.
  • this rule has two objectives. On the one hand, you want to cover the heating demand via the temperature and the volumetric flow of the useful heat flow. On the other hand, the "coefficient of performance COP", which is a guiding principle for the efficiency of the heat pump, should be as high as possible, preferably between 3.1 and 5.1. In this case, the heat obtained is related to the electrical power consumption. In this COP, not only the temperatures and heat flows, but also the electrical power consumption of the heat pump, which thus also has an influence on the regulation of the electrical consumers. If you want to optimize this COP, the control of these coupled systems is complex, because the sum of the drive power of the machines must be minimized.
  • the US 2008/0000241 A1 describes a refrigeration system with a compressor and associated control. For this purpose, the future cooling demand is compared with the capacity of the compressor and weighted as a reference variable higher than the current refrigeration demand. A cost model will further optimize refrigeration.
  • the compressor is not operated as an inverter, but has only a start-stop control. And the estimate of the upcoming refrigeration needs is based on the environment of the operator, such as the opening hours of a supermarket. So the machine can not do it autonomously.
  • the US 2015/0253051 A1 describes pre-estimation methods that estimate the heat transfer of fluids under different environmental conditions. These fluids are the working fluid, the heat sink and the heat source. For this purpose, a function of the setpoint of a heating element is determined by changing the setpoint and correspondingly solving the function for intermediate values. Through a variety of such operations, the objective function for the setpoint is optimized. In this way, historical operating data for temperature control can be used.
  • the object of the invention is therefore to provide a suitable control method for the operation of a left-handed thermodynamic Clausius-Rankine cycle in a closed, hermetically sealed working fluid circulation by means of a working fluid.
  • a prediction horizon is formed for each variation of manipulated variables with influence on the electrical consumption variables caused by machines, the total minimum of the electrical energy consumption is subsequently determined for each of the control actions possible on account of the prediction horizons, and these settings for the Control intervention to be selected.
  • the desired value of the second reference variable COP value is set to the possible maximum value. In this way it is achieved that always the best COP value is sought, which is achievable at all.
  • soft limits are used to limit the reference variables. In practice, this is done in such a way that cost functions are designed in such a way that, whenever a reference variable comes close to a boundary, it calculates higher virtual costs, which means virtual costs in a regulatory sense.
  • the control system also has the advantage of being fast and stable.
  • Fig. 1 shows a simple air / water heat pump system, which from a control point of view is a MIMO (multi-input multi-output) system.
  • the heat pump system comprises in this example a refrigeration circuit 1 with a refrigeration compressor 2, a condenser 3, an expansion valve 4 and an evaporator 5.
  • compressed refrigerant 6 flows to the condenser 3, where it gives off its heat to the heat carrier flow 7, which is supplied by the circulation pump 8 is promoted as heat flow 9 to the consumer.
  • the thereby cooled and condensed refrigerant 10 reaches the expansion control valve 4, wherein it continues to cool and is passed as a cooling flow 11 in the evaporator 5.
  • the heated refrigerant 15 is again compressed by the refrigerant compressor 2, whereby the refrigeration cycle 1 is closed.
  • the refrigeration circuit shown here in simplified form may also include a plurality of heat exchangers at different temperature levels, a stepped pressure reduction, switching devices for heating operation in winter and cooling in summer, and a variety of sensors, the control principle is the same.
  • evaporator 5 and capacitor 3 are interchangeable in their operation or not shown switching devices in the refrigerant circuit can produce this functionality in the prior art, so that the heating circuit to the refrigeration cycle of an air conditioner and the heat source of the heating operation Heat sink in the air conditioning.
  • the refrigerant circuit 1 is thermodynamically on the sizes pressure, temperature and flow for the four streams compressed refrigerant 6, condensed refrigerant 10, refrigerant flow 11 and heated refrigerant 15, as well as the sizes volume flow and temperature of the four streams heat transfer stream 7, heat flow 9, ambient air 12 and cold air 14 certainly. It is possible to regulate the power consumption or rotational speeds of the circulation pump 8, that of the refrigeration compressor 2 and that of the fan 13, and also the position of the expansion valve 4.
  • Fig. 2 shows a basic course of a prediction system.
  • the output quantities y, 16 are predicted via a prediction horizon 17 and included in the regulation.
  • the controller responds early to a changing reference variable, the setpoint curve w, 18, and can follow this, taking into account restrictions, ideally by the manipulated variable u, 19.
  • the reference trajectories r, 20 and the setting horizon 21 are also shown.
  • the values y, w and u are to be understood as vectorial values.
  • the flow temperature in the heating circuit is adjusted by controlling the four essential input variables of the compressor, the expansion valve, the fan and the circulating pump in parallel, while maintaining the operating limits for high pressure and evaporating temperature.
  • Fig. 3 shows in seven measurement diagrams the operation of this regulatory procedure. In all diagrams, the time axis is identical, it is the same control process. In the uppermost diagram, the measured flow temperature 22 of the heat flow 9 and the target temperature 23 is shown.
  • the target temperature 22 was raised as a model, the heat pump was led to its load limit. Subsequently, the setpoint temperature was lowered sharply and slowly increased to an intermediate level.
  • the diagram below shows the pressure 24 in the high-pressure section 6 or 10 of the refrigeration circuit 1. This pressure curve results in response to the flow temperature 22 in the condenser 3 from the temperature to which the refrigerant cools when condensing, ie to the equilibrium temperature. He may not exceed a maximum pressure 25.
  • a control intervention in the compressor and in the expansion valve has been required.
  • the evaporator temperature 26 is shown, which is proportional to the low-pressure section 11 and 15, respectively.
  • the temperature in the evaporator was lowered accordingly, so that the temperature difference to the air of the environment is greater and a higher heat flux of the ambient air can be withdrawn.
  • this lower limit is shown by minimum evaporator temperature 27.
  • the input of the speed 28 of the refrigerant compressor 2 is shown. This speed must be between the limits of the minimum speed 29 and the maximum speed 30. It can be seen that the regulation initially wants to satisfy the increased heat requirement by means of a higher rotational speed, which causes a higher compression of the refrigerant, but at the same time reaches its upper limit.
  • This expansion valve 4 opens when the heat demand can not be achieved by a further increase in the speed of the refrigerant compressor 2. Through this opening, the mass flow through this valve increases, in parallel to the compressed by the refrigerant compressor mass flow, which leads due to the compressor line to a corresponding pressure drop in the high pressure section. Also with respect to the opening of the expansion valve 4, a maximum opening 32 and a minimum opening 33 is predetermined as a limit.
  • the diagram below shows the input variable of the fan speed 34.
  • the fan speed increases to promote more ambient air to the evaporator surface to remove this heat.
  • a maximum speed 35 and a minimum speed 36 is set. In the present case, reaching the maximum speed 36 is not sufficient to bring the flow temperature closer to the setpoint.
  • the diagram below shows the input quantity of the rotational speed 37 of the circulating pump 8.
  • the circulation pump reduces its speed, but only up to the minimum speed 38, which is not achieved in the present example, since the target value of the flow temperature 23 has previously been lowered.
  • the circulation pump is limited by a maximum speed 39.
  • Fig. 4 shows a control method, which builds on the example shown above.
  • the measurement diagram shows one tenth of the time course compared to Fig. 3 .
  • the COP should be used as a further output variable.
  • the flow temperature 22 is replaced by a setpoint temperature 23, but also an upper flow temperature limit 40 and a lower flow temperature limit 41.
  • the COP is from the heat flow, which is the difference between the flow temperature and the return temperature of the heating circuit, multiplied by the mass flow, funded by the circulation pump 8 is compared with the sum of all electrical consumers of the heat pump.
  • the target COP 42 is set as high as possible, while the actual COP 43 the target COP is approximated by the regulation of refrigerant compressor, fan and circulation pump takes place so that the total electrical energy consumption decreases, while the flow temperature is kept within narrow limits.
  • This COP which is as high as possible within the specified conditions, ideally achieves constant maximization of the COP.
  • the set target temperature 23 is at the beginning of the observation interval 24.5 degrees Celsius, this also corresponds to the starting temperature of the flow temperature 22.
  • the COP increases from 3.57 to 3.62, while the flow temperature remains the same.
  • the setpoint temperature 23 is lowered to the value of 24.1 degrees Celsius. This initially causes a short increase in the COP due to the heat storage capacity of the system. As the flow temperature approaches the new setpoint temperature, the COP remains at approximately the level that it had reached before the setpoint temperature change, namely approximately 3.62.
  • the transient temperature of the flow temperature is over after about 2100 seconds, the COP from then 3.62 further upwards, at the end of the observation interval it is 3.63. In this way, a continuous optimization process is carried out.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)
  • Compression-Type Refrigeration Machines With Reversible Cycles (AREA)
EP19170603.5A 2018-04-24 2019-04-23 Régulation prédictive d'une pompe à chaleur Active EP3564601B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102018109785.9A DE102018109785A1 (de) 2018-04-24 2018-04-24 Prädiktive Regelung einer Wärmepumpe

Publications (2)

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EP3564601A1 true EP3564601A1 (fr) 2019-11-06
EP3564601B1 EP3564601B1 (fr) 2022-09-14

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DE (1) DE102018109785A1 (fr)
ES (1) ES2932453T3 (fr)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111767682A (zh) * 2020-06-09 2020-10-13 上海电力大学 基于动态耦合模型的热泵储能系统设计控制共同优化方法
CN113418228A (zh) * 2020-12-14 2021-09-21 建科环能科技有限公司 基于供需匹配的空气源热泵变回差水温控制方法及系统
CN113686066A (zh) * 2021-08-27 2021-11-23 经纬恒润(天津)研究开发有限公司 一种热泵系统控制方法及装置
CN114294277A (zh) * 2021-12-31 2022-04-08 长江勘测规划设计研究有限责任公司 基于油压调节双缸液压启闭机的同步方法
CN115431704A (zh) * 2022-08-31 2022-12-06 西安交通大学 一种用于跨临界co2车辆热管理系统的路由器及其控制方法
EP4446660A1 (fr) * 2023-04-11 2024-10-16 Vaillant GmbH Régulation de température de départ optimisée par cop pour une pompe à chaleur
CN119533001A (zh) * 2025-01-21 2025-02-28 广州春光新能源科技发展有限公司 一种多功能热泵装置及其控制方法

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102020203443A1 (de) 2020-03-18 2021-09-23 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zum Betrieb einer Kompressionswärmepumpenvorrichtung

Citations (3)

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US20150253051A1 (en) * 2014-03-07 2015-09-10 Alliance For Sustainable Energy, Llc Model predictive control for heat transfer to fluids
US20150354877A1 (en) * 2014-06-09 2015-12-10 Mitsubishi Electric Research Laboratories, Inc. System and Method for Controlling of Vapor Compression System
US20170350625A1 (en) * 2016-06-06 2017-12-07 Mitsubishi Electric Research Laboratories, Inc. System and Method for Controlling Multi-Zone Vapor Compression System

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US7905103B2 (en) * 2004-09-30 2011-03-15 Danfoss A/S Model prediction controlled refrigeration system
US9983554B2 (en) * 2014-11-25 2018-05-29 Mitsubishi Electric Research Laboratories, Inc. Model predictive control with uncertainties
US10174957B2 (en) * 2015-07-27 2019-01-08 Mitsubishi Electric Research Laboratories, Inc. System and method for controlling multi-zone vapor compression systems

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150253051A1 (en) * 2014-03-07 2015-09-10 Alliance For Sustainable Energy, Llc Model predictive control for heat transfer to fluids
US20150354877A1 (en) * 2014-06-09 2015-12-10 Mitsubishi Electric Research Laboratories, Inc. System and Method for Controlling of Vapor Compression System
US20170350625A1 (en) * 2016-06-06 2017-12-07 Mitsubishi Electric Research Laboratories, Inc. System and Method for Controlling Multi-Zone Vapor Compression System

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111767682A (zh) * 2020-06-09 2020-10-13 上海电力大学 基于动态耦合模型的热泵储能系统设计控制共同优化方法
CN111767682B (zh) * 2020-06-09 2024-02-27 上海电力大学 基于动态耦合模型的热泵储能系统设计控制共同优化方法
CN113418228A (zh) * 2020-12-14 2021-09-21 建科环能科技有限公司 基于供需匹配的空气源热泵变回差水温控制方法及系统
CN113418228B (zh) * 2020-12-14 2022-08-02 建科环能科技有限公司 基于供需匹配的空气源热泵变回差水温控制方法及系统
CN113686066A (zh) * 2021-08-27 2021-11-23 经纬恒润(天津)研究开发有限公司 一种热泵系统控制方法及装置
CN114294277A (zh) * 2021-12-31 2022-04-08 长江勘测规划设计研究有限责任公司 基于油压调节双缸液压启闭机的同步方法
CN114294277B (zh) * 2021-12-31 2023-12-19 长江勘测规划设计研究有限责任公司 基于油压调节泄洪闸门启闭用双缸液压启闭机的同步方法
CN115431704A (zh) * 2022-08-31 2022-12-06 西安交通大学 一种用于跨临界co2车辆热管理系统的路由器及其控制方法
EP4446660A1 (fr) * 2023-04-11 2024-10-16 Vaillant GmbH Régulation de température de départ optimisée par cop pour une pompe à chaleur
CN119533001A (zh) * 2025-01-21 2025-02-28 广州春光新能源科技发展有限公司 一种多功能热泵装置及其控制方法

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Publication number Publication date
DE102018109785A1 (de) 2019-10-24
ES2932453T3 (es) 2023-01-19
EP3564601B1 (fr) 2022-09-14

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