WO2022168032A1 - Reduction of water/energy waste in a water provision system - Google Patents
Reduction of water/energy waste in a water provision system Download PDFInfo
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- WO2022168032A1 WO2022168032A1 PCT/IB2022/051061 IB2022051061W WO2022168032A1 WO 2022168032 A1 WO2022168032 A1 WO 2022168032A1 IB 2022051061 W IB2022051061 W IB 2022051061W WO 2022168032 A1 WO2022168032 A1 WO 2022168032A1
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- water
- water outlet
- heater arrangement
- threshold time
- time value
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1051—Arrangement or mounting of control or safety devices for water heating systems for domestic hot water
- F24D19/1054—Arrangement or mounting of control or safety devices for water heating systems for domestic hot water the system uses a heat pump
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B7/00—Water main or service pipe systems
- E03B7/07—Arrangement of devices, e.g. filters, flow controls, measuring devices, siphons, valves, in the pipe systems
- E03B7/071—Arrangement of safety devices in domestic pipe systems, e.g. devices for automatic shut-off
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03C—DOMESTIC PLUMBING INSTALLATIONS FOR FRESH WATER OR WASTE WATER; SINKS
- E03C1/00—Domestic plumbing installations for fresh water or waste water; Sinks
- E03C1/02—Plumbing installations for fresh water
- E03C2001/026—Plumbing installations for fresh water with flow restricting devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D17/00—Domestic hot-water supply systems
- F24D17/02—Domestic hot-water supply systems using heat pumps
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2200/00—Heat sources or energy sources
- F24D2200/12—Heat pump
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/04—Sensors
- F24D2220/044—Flow sensors
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/04—Sensors
- F24D2220/046—Pressure sensors
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/08—Storage tanks
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/10—Heat storage materials, e.g. phase change materials or static water enclosed in a space
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/20—Heat consumers
- F24D2220/209—Sanitary water taps
Definitions
- the present disclosure relates generally to water/energy flow utility management in a water provision system, such as a heater arrangement system for a water provision system for supplying hot water to a plurality of water outlets (taps) in a building.
- a water provision system such as a heater arrangement system for a water provision system for supplying hot water to a plurality of water outlets (taps) in a building.
- the present disclosure relates to reduction of water and/or energy flow waste to water outlets, in a water provision system to conserve water and/or energy.
- heated water is required throughout the day all year round. It goes without saying that the provision of heated water requires both clean water and a source of heat.
- a heating system is provided to an often centralised water provision system to heat water up to a predetermined temperature e.g. set by a user, and the heat source used is conventionally one or more electric heating elements or burning of natural gas.
- Clean water as a utility is currently receiving much attention.
- As clean water becomes scarcer there has been much effort to educate the public on the conservation of clean water as well as development of systems and devices that reduce water consumption, such as aerated showers and taps to reduce water flow, showers and taps equipped with motion sensors that stop the flow of water when no motion is detected, etc.
- systems and devices are restricted to a single specific use and only have limited impact on problematic water consumption habits.
- a heat pump is a device that transfers thermal energy from a source of heat to a thermal reservoir.
- a heat pump requires electricity to accomplish the work of transferring thermal energy from the heat source to the thermal reservoir, it is generally more efficient than electrical resistance heaters (electrical heating elements) as it typically has a coefficient of performance of at least 3 or 4. This means under equal electricity usage 3 or 4 times the amount of heat can be provided to users via heat pumps compared to electrical resistance heaters.
- the heat transfer medium that carries the thermal energy is known as a refrigerant.
- Thermal energy from the air e.g, outside air, or air from a hot room in the house
- a ground source e.g, ground loop or water filled borehole
- the now higher energy refrigerant is compressed, causing it to raise temperature considerably, where this now hot refrigerant exchanges thermal energy via a heat exchanger to a heating water loop.
- heat extracted by the heat pump can be transferred to water in an insulated tank that acts as a thermal energy storage, and the heated water may be used at a later time when needed.
- the heated water may be diverted to one or more water outlets, e.g. a tap, a shower, a radiator, as required.
- a heat pump generally requires more time compared to electrical resistance heaters to get water up to the desired temperature.
- the invention provides a heater arrangement system for a water provision system for controlling a water supply provided to a water outlet, as claimed in claim 1.
- the invention also provides a method of controlling a water supply provided to a water outlet, as claimed in claim 8.
- the invention further provides a corresponding computer program product and a control module, as claimed in claims 12 and 13.
- FIG. 1 is a schematic system overview of an exemplary water provision system
- Fig. 2 is a flowchart showing the steps involved in temporarily reducing the flow ofenergy, and/or water, in an exemplary water provision system.
- a flow rate and/or temperature of heated water emerging from a water outlet is reduced when it is determined that there is an absence of any object beneath the water outlet, such that water (due to the lower flow rate of the water) and/or 15 energy (due to the lower temperature of the water) usage may be reduced when it is not required.
- a warning such as a sound or flashing light is initiated when it is determined that a water outlet has been continuously providing heated water for a first period of time, and ceases provision of heated water when it is determined that the water outlet has been continuously providing heated water for a longer 20 second period of time, such that water and/or energy usage may be reduced when it is deemed unnecessary and furthermore flooding is prevented.
- a report may be generate based on collected heated water usage data, for example to prompt users to modify their usage habits.
- heated water is provided to a plurality of water outlets
- the water heating system may comprise one or more electric heating elements for directly heating cold water to a temperature controlled by the amount of energy supplied to the one or more electric heating elements.
- the water heating system may further comprise a less direct, slower acting but cost-saving and environmentally friendly heat source for heating water, for example in the form of a heat pump for extracting thermal energy from the surrounding and/or a thermal energy storage e.g. comprising phase change material for storing thermal energy to be later extracted for heating cold water to a temperature determined by the amount of thermal energy stored within the thermal energy storage.
- the water heating system is controlled by means of a control module communicatively coupled to the water heating system configured for example to modulating power supplied to the one or more electric heating elements, to activate or otherwise control and modulate power supplied to the heat pump.
- cold and heated water is provided by a centralized water provision system to a plurality of water outlets, including taps, showers, radiators, etc., for a building in a domestic or commercial setting.
- An exemplary water provision system according to an embodiment is shown in Fig. 1.
- the water provision system 100 comprises a control module 110, the control module 110 may include Machine Learning Algorithms, 120.
- the control module 110 is communicatively coupled to, and configured to control, various elements of the water provision system, including flow control 130 for example in the form of one or more valves arranged to control the flow of water internal and external to the system, a (ground source or air source) heat pump 140 configured to extract heat from the surrounding and deposit the extracted heat in a thermal energy storage 150 to be used to heat water, and one or more electric heating elements 160 configured to directly heat cold water to a desired temperature by controlling the amount of energy supplied to the electric heating elements 160. Heated water, whether heated by the thermal energy storage 150 or heated by the electric heating elements 160, is then directed to one or more water outlets as and when needed.
- the heat pump 140 extracts heat from the surroundings into a thermal energy storage medium within the thermal energy storage 150.
- the thermal energy storage medium may in addition be heated by other sources.
- the thermal energy storage medium is heated until it reaches a desired operation temperature, then cold water e.g. from the mains can be heated by the thermal energy storage medium to the desired temperature.
- the heated water may then be supplied to various water outlets in the system.
- the control module 110 is configured to receive input from a plurality of sensors 170-1, 170-2, 170-3, ..., 170-n.
- the plurality of sensors 170-1, 170-2, 170-3, ..., 170-n may for example include one or more air temperature sensors disposed indoor and/or outdoor, one or more water temperature sensors, one or more water pressure sensors, one or more timers, one or more motion sensors, and may include other sensors not directly linked to the water provision system 100 such as a GPS signal receiver, calendar, weather forecasting app on e.g. a smartphone carried by an occupant and in communication with the control module via a communication channel.
- the control module 110 is configured, in the present embodiment, to use the received input to perform a variety of control functions, for example controlling the flow of water through the flow control 130 to the thermal energy storage 150 or electric heating elements 160 to heat water.
- the heat pump 140 may for example use a phase change material (PCM), which changes from a solid to a liquid upon heating, as a thermal energy storage medium. Additional time may therefore be required for the heat pump to first transfer a sufficient amount of heat to turn the PCM from solid to liquid, if it has been allowed to solidify, before it can further raise the temperature of the liquified thermal storage medium.
- PCM phase change material
- phase change material may be used as a thermal storage medium for the heat pump.
- phase change materials are paraffin waxes which have a solid-liquid phase change at temperatures of interest for domestic hot water supplies and for use in combination with heat pumps.
- paraffin waxes that melt at temperatures in the range 40 to 60 degrees Celsius (°C), and within this range waxes can be found that melt at different temperatures to suit specific applications.
- Typical latent heat capacity is between about 180kJ/kg and 230kJ/kg and a specific heat capacity of perhaps 2.27Jg -1 K 1 in the liquid phase, and 2.1Jg -1 K 1 in the solid phase. It can be seen that very considerable amounts of energy can be stored taking using the latent heat of fusion.
- More energy can also be stored by heating the phase change liquid above its melting point.
- the heat pump may be operated to "charge” the thermal energy storage to a higher-than-normal temperature to "overheat" the thermal energy storage.
- a suitable choice of wax may be one with a melting point at around 48°C, such as n- tricosane C23, or paraffin C20-C33, which requires the heat pump to operate at a temperature of around 51°C, and is capable of heating water to a satisfactory temperature of around 45°C for general domestic hot water, sufficient for e.g. kitchen taps, shower/bathroom taps. Cold water may be added to a flow to reduce water temperature if desired. Consideration is given to the temperature performance of the heat pump. Generally, the maximum difference between the input and output temperature of the fluid heated by the heat pump is preferably kept in the range of 5°C to 7°C, although it can be as high as 10°C.
- salt hydrates are also suitable for latent heat energy storage systems such as the present ones.
- Salt hydrates in this context are mixtures of inorganic salts and water, with the phase change involving the loss of all or much of their water. At the phase transition, the hydrate crystals are divided into anhydrous (or less aqueous) salt and water.
- Advantages of salt hydrates are that they have much higher thermal conductivities than paraffin waxes (between 2 to 5 times higher), and a much smaller volume change with phase transition.
- a suitable salt hydrate for the current application is NazSzCh-SHzO, which has a melting point around 48°C to 49°C, and latent heat of 200-220 kJ/kg.
- MLAs Machine Learning Algorithms
- MLAs Machine Learning Algorithms
- Supervised learning MLA process is based on a target - outcome variable (or dependent variable), which is to be predicted from a given set of predictors (independent variables). Using these set of variables, the MLA (during training) generates a function that maps inputso desired outputs. The training process continues until the MLA achieves a desired level of accuracy on the validation data. Examples of supervised learning-based MLAs include: Regression, Decision Tree, Random Forest, Logistic Regression, etc.
- Unsupervised learning MLA does not involve predicting a target or outcome variable per se. Such MLAs are used for clustering a population of values into different groups, which is widely used for segmenting customers into different groups for specific intervention. Examples of unsupervised learning MLAs include: Apriori algorithm, K-means.
- Reinforcement learning MLA is trained to make specific decisions. During training, the MLA is exposed to a training environment where it trains itself continually using trial and error. The MLA learns from past experience and attempts to capture the best possible knowledge to make accurate decisions.
- An example of reinforcement learning MLA is a Markov Decision Process.
- MLAs having different structures or topologies may be used for various tasks.
- One particular type of MLAs includes artificial neural networks (ANN), also known as neural networks (NN).
- ANN artificial neural networks
- NN neural networks
- a given NN consists of an interconnected group of artificial "neurons", which process information using a connectionist approach to computation.
- NNs are used to model complex relationships between inputs and outputs (without actually knowing the relationships) or to find patterns in data.
- NNs are first conditioned in a training phase in which they are provided with a known set of "inputs” and information for adapting the NN to generate appropriate outputs (for a given situation that is being attempted to be modelled).
- the given NN adapts to the situation being learned and changes its structure such that the given NN will be able to provide reasonable predicted outputs for given inputs in a new situation (based on what was learned).
- the given NN aims to provide an "intuitive" answer based on a "feeling" for a situation.
- the given NN is thus regarded as a trained "black box", which can be used to determine a reasonable answer to a given set of inputs in a situation when what happens in the "box" is unimportant.
- NNs are commonly used in many such situations where it is only important to know an output based on a given input, but exactly how that output is derived is of lesser importance or is unimportant.
- NNs are commonly used to optimize the distribution of webtraffic between servers and in data processing, including filtering, clustering, signal separation, compression, vector generation and the like.
- the NN can be implemented as a deep neural network. It should be understood that NNs can be classified into various classes of NNs and one of these classes comprises recurrent neural networks (RNNs).
- RNNs recurrent neural networks
- RNNs Recurrent Neural Networks
- RNNs are adapted to use their "internal states" (stored memory) to process sequences of inputs. This makes RNNs well-suited for tasks such as unsegmented handwriting recognition and speech recognition, for example. These internal states of the RNNs can be controlled and are referred to as “gated” states or “gated” memories.
- RNNs themselves can also be classified into various subclasses of RNNs.
- RNNs comprise Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRUs), Bidirectional RNNs (BRNNs), and the like.
- LSTM networks are deep learning systems that can learn tasks that require, in a sense, "memories” of events that happened during very short and discrete time steps earlier. Topologies of LSTM networks can vary based on specific tasks that they "learn" to perform. For example, LSTM networks may learn to perform tasks where relatively long delays occur between events or where events occur together at low and at high frequencies.
- RNNs having particular gated mechanisms are referred to as GRUs.
- GRUs lack "output gates” and, therefore, have fewer parameters than LSTM networks.
- BRNNs may have "hidden layers" of neurons that are connected in opposite directions which may allow using information from past as well as future states.
- Residual Neural Network (ResNet)
- NN Another example of the NN that can be used to implement non-limiting embodiments of the present technology is a residual neural network (ResNet).
- ResNet residual neural network
- Deep networks naturally integrate low/mid/high-level features and classifiers in an end- to-end multilayer fashion, and the "levels" of features can be enriched by the number of stacked layers (depth).
- the implementation of at least a portion of the one or more MLAs in the context of the present technology can be broadly categorized into two phases - a training phase and an in-use phase.
- the given MLA is trained in the training phase using one or more appropriate training data sets.
- the given MLA learned what data to expect as inputs and what data to provide as outputs, the given MLA is run using in-use data in the in- use phase.
- Fig. 2 shows an embodiment of a method for controlling utility usage, for example in a home environment.
- the method begins at S2001 when a water outlet (for example, a bathroom sink tap) is activated or turned on by a user to receive heated water supplied by a water heating system disposed remotely from the water outlet, the water heating system being controlled by a control module 110 of Fig. 1, disposed remotely from the water outlet and in communication with a sensor (for example, one of the sensors 170-n, shown in Fig. 1) disposed at or near the water outlet for sensing the presence of an object (for example, a hand of the person who is washing his hands) below the water outlet.
- the control module 110 receives a signal from the sensor and determines at S2003 whether an object is present below the water outlet.
- the method returns to S2002 and the control module continues to monitor signals from the sensor. If the control module determines that there is no object below the water outlet, at S2004, the control module controls the water heating system to reduce the temperature of the heated water supplied to the water outlet and/or reduce the flow rate of the heated water supplied to the water outlet. The method then returns to S2002 and the control module continues to monitor signals from the sensor. In doing so, heated water may continue to be supplied to the water outlet but with reduced energy and/or water usage. For example, when the user is washing their hands with heated water under a tap, when the user removes their hands from under the tap to e.g. reach for the soap, the control module can reduce the temperature and the flow of heated water to conserve energy and water, then once the user return their hands to the tap, the temperature and the flow of heated water can be brought back to the initial level.
- a timer in communication with the control module is activated to record an elapsed time.
- the control module receives signals from the timer to determine the elapsed time T for the continuous provision of heated water from the water outlet. If the control module determines at S2006 that the elapse time T does not exceed a predetermined first threshold Tl, the method returns to S2005 and the control module continues to monitor signals from the timer.
- the control module determines at S2006 that the elapse time T exceeds the first threshold Tl, the control module initiate a warning sequence at S2007, which may include producing a sound or activating a light signal at or near the water outlet to warn the user that the water outlet has been continuously on for a time Tl to prompt the user to turn the water outlet off if heated water is no longer needed.
- the control module determines whether the elapse time T exceeds a predetermined second threshold T2, which is higher than the first threshold Tl. If it is determined that the elapse time T does not exceeds the second threshold T2, the method returns to S2005 and the control module continues to monitor signals from the timer.
- control module determines at S2008 that the elapse time T exceeds the second threshold T2
- the control module then controls the water heating system such that the water outlet is completely closed, thereby ceasing provision of heated water to the water outlet at S2009. In doing so, energy and water are not wasted when heated water is no longer required. For example, if the user forgets to turn off the tap after washing hands, or if a child has left the tap on for play, provision of heated water can stop automatically to conserve energy and water.
- the values of the two thresholds, T1 and T2 can also be determined by deriving a predicted value, according to an artificial intelligence algorithm (such as deep learning, or other MLA), which has been trained based on past usage of the water flow in the particular building, so that the warning is not generated, and the water does not turn off, in a situation where such use of the water is normal for the particular household or commercial building.
- an artificial intelligence algorithm such as deep learning, or other MLA
- heated water usage data (S2010) collected over time can be used to generate a usage report (S2011) as a tool to prompt a user to review and potentially modify their usage habits to reduce energy and water usage.
- the control module 110 is programmed in software to carry out the functions described above and illustrated in the steps of Fig. 2. Alternatively, the control module is hardwired in hardware logic to perform the functions described above.
- the present techniques may be embodied as a system, method or computer program product. Accordingly, the present techniques may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware.
- the present techniques may take the form of a computer program product embodied in a computer readable medium having computer readable program code embodied thereon.
- the computer readable medium may be a computer readable signal medium or a computer readable storage medium.
- a computer readable medium may be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing.
- Computer program code for carrying out operations of the present techniques may be written in any combination of one or more programming languages, including object-oriented programming languages and conventional procedural programming languages.
- program code for carrying out operations of the present techniques may comprise source, object or executable code in a conventional programming language (interpreted or compiled) such as C, or assembly code, code for setting up or controlling an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array), or code for a hardware description language such as VerilogTM or VHDL (Very high-speed integrated circuit Hardware Description Language).
- a conventional programming language interpreted or compiled
- ASIC Application Specific Integrated Circuit
- FPGA Field Programmable Gate Array
- VerilogTM or VHDL Very high-speed integrated circuit Hardware Description Language
- Code components may be embodied as procedures, methods or the like, and may comprise sub-components which may take the form of instructions or sequences of instructions at any of the levels of abstraction, from the direct machine instructions of a native instruction set to high-level compiled or interpreted language constructs.
- a logical method may suitably be embodied in a logic apparatus comprising logic elements to perform the steps of the method, and that such logic elements may comprise components such as logic gates in, for example a programmable logic array or application-specific integrated circuit.
- Such a logic arrangement may further be embodied in enabling elements for temporarily or permanently establishing logic structures in such an array or circuit using, for example, a virtual hardware descriptor language, which may be stored and transmitted using fixed or transmittable carrier media.
- processors may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software.
- the functions may be provided by a single dedicated processor, by a single shared processor, or by a plurality of individual processors, some of which may be shared.
- explicit use of the term "processor” or “controller” should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor (DSP) hardware, network processor, application specific integrated circuit (ASIC), field programmable gate array (FPGA), read-only memory (ROM) for storing software, random access memory (RAM), and non-volatile storage.
- DSP digital signal processor
- ASIC application specific integrated circuit
- FPGA field programmable gate array
- ROM read-only memory
- RAM random access memory
- non-volatile storage non-volatile storage.
Abstract
Description
Claims
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AU2022216913A AU2022216913A1 (en) | 2021-02-07 | 2022-02-07 | Reduction of water/energy waste in a water provision system |
US18/276,003 US20240093884A1 (en) | 2021-02-07 | 2022-02-07 | Reduction of water/energy waste in a water provision system |
EP22709377.0A EP4288714A1 (en) | 2021-02-07 | 2022-02-07 | Reduction of water/energy waste in a water provision system |
JP2023547809A JP2024510085A (en) | 2021-02-07 | 2022-02-07 | Reducing water/energy waste within water delivery systems |
KR1020237030647A KR20230153398A (en) | 2021-02-07 | 2022-02-07 | Reduce water/energy waste in water supply systems |
CN202280013777.4A CN116940792A (en) | 2021-02-07 | 2022-02-07 | Reducing water/energy consumption in water supply systems |
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GB2101678.7 | 2021-02-07 | ||
GBGB2101678.7A GB202101678D0 (en) | 2021-02-07 | 2021-02-07 | Methods and systems and apparatus to support reduced energy and water usage |
GB2109600.3 | 2021-07-02 | ||
GB2109594.8A GB2604668B (en) | 2021-02-07 | 2021-07-02 | Methods and systems and apparatus to support reduced energy and water usage |
GB2109599.7A GB2603553B (en) | 2021-02-07 | 2021-07-02 | Energy storage arrangement and installations |
GB2109594.8 | 2021-07-02 | ||
GB2109596.3 | 2021-07-02 | ||
GB2109593.0 | 2021-07-02 | ||
GB2109598.9A GB2603552B (en) | 2021-02-07 | 2021-07-02 | Energy storage arrangements and installations |
GB2109597.1 | 2021-07-02 | ||
GB2109597.1A GB2603551B (en) | 2021-02-07 | 2021-07-02 | Energy storage arrangements and installations including such energy storage arrangements |
GB2109596.3A GB2603550B (en) | 2021-02-07 | 2021-07-02 | Energy storage arrangement and installations |
GB2109600.3A GB2603824B (en) | 2021-02-07 | 2021-07-02 | Methods and systems and apparatus to support reduced energy and water usage |
GB2109593.0A GB2603976B (en) | 2021-02-07 | 2021-07-02 | Methods of configuring and controlling hot water supply installations |
GB2109599.7 | 2021-07-02 | ||
GB2109598.9 | 2021-07-02 | ||
GB2111072.1 | 2021-08-02 | ||
GB2111072.1A GB2604947B (en) | 2021-02-07 | 2021-08-02 | Reduction of water/energy waste in a water provision system |
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