Patent Application
20170211829
This invention relates to heat pump systems, controllers and their user interfaces, and in particular electrical heat pump systems with a variable cost source of electricity, such as photovoltaic panels.
Heat pumps are known to be an efficient means of facilitating heating or cooling applications, comparing favourably against the primary energy requirements of fossil fuel or biomass boilers. Improved efficiency is considered desirable to consumers as it can deliver lower operating costs. With respect to all HVAC (Heating, Ventilation and Air-Conditioning) systems, it is well-accepted that costs can also be lowered by reducing the amount of heat that must be added or removed from a building. However, reducing heating or cooling demands can leave occupants thermally uncomfortable, so the user of an HVAC system will generally target a compromise between thermal comfort and cost.
For heat pump systems, the daily cost of heat transfer is an integral function of the heat pump performance, which is strongly correlated to the difference between the source and load temperatures, and the marginal cost of electricity throughout the day. As such, electrically-powered heat pumps can benefit from variations in the cost of electricity and the source temperature. The marginal cost of electricity supply from renewable energy and other baseload generators such as solar PV (photovoltaics), wind turbines and nuclear reactors can be very low or even negative at times of peak electrical output or minimum grid demand, especially if such devices are in close proximity to energy demands. The regulation of a heat pump to maximise operation during periods of low marginal heat transfer cost has great potential to reduce the overall cost of meeting heating or cooling demands. However, the demands and the marginal cost of operation can vary dramatically with user behaviour and local weather conditions, both of which can be difficult to predict. Several inventions have been proposed which attempt to increase the predictability and flexibility of a heat pump system to assist a cost-optimising strategy.
In terms of predictability, the use of past and forecast temperature, consumption and generation data is covered in the prior art, e.g. U.S. Pat. No. 8,972,073B2 (Hayashida, issued Mar. 3, 2015), in the context of control of a conventional heat pump with optional secondary heaters.
In terms of flexibility, the use of a variable speed compressor to modulate heat output in correlation with demand is presented in U.S. Pat. No. 5,081,846A (Dudley et al., issued Jan. 21, 1992). The idea to modulate compressor speed to minimise the net cost of electricity with an operation planning method is described in U.S. Pat. No. 8,972,073B2 (Hayashida, issued Mar. 3, 2015) where a heat pump is combined with a PV device with low-cost electricity, defined as ‘reverse power’, calculated by subtracting the amount of power to be consumed from the amount of power to be generated.
However there exist other limits to the ability of a heat pump to concentrate operation during periods of low electricity cost and high performance—principally the heat storage capacity of the building and the size of heat emitters.
It is well known that many users have difficulty programming heating and cooling thermostats because existing interfaces are not intuitive and are complicated to use. US2004/0262410A1 (Hull, published Dec. 30, 2004) describes one example of a user interface which permits a user to graphically control heating and cooling start/stop times. US2006/0192021A1 (Schultz et al., published Aug. 31, 2006) describes a thermostat with different schedules and set-points for heating and cooling where an appropriate schedule is automatically selected.
US2011/0257795A1 (Narayanamurthy et al., published Oct. 20, 2011) describes the use of a comfort band where, in heating mode, the maximum comfortable temperature is a set-point for initiating a solar energy system to deliver a flow of fresh air and the minimum comfortable temperature is a set-point for a thermostat device in an HVAC system and vice versa in cooling mode.
US2014/0358291A1 (Wells, published Dec. 4, 2014) describes an HVAC control system designed to achieve and/or maintain an environmental condition within a building at a level at which the user is expected to be comfortable.
GB2508238A (Ruff, published May 28, 2014) describes a control means whereby the heating and cooling characteristics of a building are monitored, enabling the heating means to be deactivated before the occupant leaves the building to save energy.
US2014/0316584A1 (Matsuoka et al., published Oct. 23, 2014) describes a technique for reducing the amount of energy consumed by an HVAC system by performing either temperature-wise or time-wise microchanges to a schedule of temperature set-points.
US2014/0277761A1 (Matsuoka et al., published Sep. 18, 2014) describes a method of controlling an HVAC system with a control trajectory, which is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during a DR event (Demand-Response) period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.
The present invention comprises a heat pump and a system controller, where the heat pump is used for space heating or cooling, and where the system controller has a user interface which allows occupants to indicate discomfort.
Cost-effective operation of a heat pump for space heating or cooling necessitates three considerations:
Solutions in the prior art are limited to a heat demand plan based on set-point targets for building and storage temperatures. Such solutions are inflexible for the purpose of daily cost optimisation.
In the present invention, the system controller expands the available range of heat demanded by the system using minimum and maximum profiles for comfortable temperatures. This is not normally done, for example, in the case of heating with a gas boiler where any extra heating beyond the minimum set-point leads to increased losses and higher operating costs.
The expanded demand range serves to increase the controller's flexibility to minimise operating costs within constraints of user comfort and other requirements. Heating or cooling can be moved to a time when the cost of heating or cooling is lower. The space can be heated above the minimum set-point or cooled below the maximum set-point so that future heating or cooling demands are reduced.
In the background art, some thermostats have separate schedules and set-points for heating and cooling modes. The maximum temperature to which a heating system can heat a space is not necessarily the same as the set-point temperature for a cooling system. Similarly, a maximum set-point for cooling can be different to a minimum set-point for heating. In the present invention, the controller has a maximum temperature profile for heating and/or a minimum temperature profile for cooling.
Since users already have difficulty programming thermostats with a single set-point temperature profile, in the present invention the minimum and maximum temperatures at which occupants are comfortable are inferred from indications of discomfort given around the time when occupants are uncomfortable.
To the accomplishment of the foregoing and related ends, the invention, then, comprises the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative embodiments of the invention. These embodiments are indicative, however, of but a few of the various ways in which the principles of the invention may be employed. Other objects, advantages and novel features of the invention will become apparent from the following detailed description of the invention when considered in conjunction with the drawings.
In exemplary embodiments of the present invention,
The refrigeration circuit shown in
The ability of the dual temperature heat pump to heat two circuits simultaneously enables the system to use the combined heat emitting capacity of the two load circuits.
Referring back to
The source fluid circuit comprises one or more hybrid PV-T (photovoltaic-thermal) collectors 16, a source fluid circulation pump 18, and a source circuit return temperature sensor 20 measuring the source fluid entering the evaporator. The PV-T collector array 16 includes one of more heat exchangers attached to the shaded side of solar photovoltaic collectors. The PV-T collectors 16 are preferably installed on a roof-top to minimise local shading and connected together in parallel such that the coolant flow rate through each collector is minimised. Solar heat absorbed to the modules during the day elevates the source fluid above the ambient air temperature. The correlation of power generation and source temperature achieved with PV-T collectors further reduces the net operating cost during periods of high solar irradiance such that the ratio of operating cost between night and day becomes very high, and there is greater potential to reduce daily costs through dynamic heat load and demand control. The source fluid is a specific heat transfer fluid, hereinafter termed a “coolant”, which preferably contains a mixture of water, propylene or ethylene glycol and corrosion inhibitors, and has a freezing point below the minimum source temperature at which the system is designed to operate, for example −25° C.
The major load fluid circuit, for performing space heating for a heated space and therefore hereinafter termed the “space heating circuit”, comprises a major load circuit pump 22, a major load circuit flow temperature sensor 24, a major load circuit return temperature sensor 26, a major load circuit “booster heater” 28, and one or more major load circuit heat emitters 30. The heat emitters are located within a building for the purpose of space heating. Suitable heat emitters include wall-mounted radiators, underfloor pipes and fan coil units. The booster heater 28 is installed in series with and following the condenser of the heat pump. The booster heater may be controlled to provide a fixed or variable heat output to the major circuit to either supplement or replace the output supplied by the condenser. The booster heater is preferably an electrical resistance element mounted within the fluid circuit of no more than a 6kW rated capacity. The booster heater is regulated to increase space heating output beyond what can be supplied by the heat pump.
The minor circuit comprises a minor load circuit pump 32, a minor load circuit flow temperature sensor 34, a minor load circuit return temperature sensor 36, and a heat exchange coil within a hot water tank 38 containing domestic water. The minor load circuit may perform a secondary heating operation other than space heating, such as for example heating water in a hot water tank, and is hereinafter termed the “hot water circuit”. The outlet of the coil is preferably at the lowest point of the tank where thermally-stratified water will be at the coolest point. The minor circuit additionally includes a pre-heating thermal store 40 arranged in series and subsequent to the hot water tank 38. The store 40 is a cylindrical tank comprising a heat exchange coil which is used to pre-heat a supply of cold sanitary water 42 before it enters the hot water tank 38. Fluid in the minor circuit flows through the body of the store 40. The store enables greater heat storage and greater thermal stratification without increasing the volume of water that must be periodically pasteurised.
The space heating circuit and hot water circuits preferably contain water with corrosion inhibitors. The hot water circuit is commissioned with a static pressure of at least 1.5 bar gauge to ensure that water cannot boil in the desuperheater.
Each of the circulation pumps for the space heating, hot water and coolant circuits preferably comprises a variable speed motor which is regulated by the controller using a low voltage analogue signal.
An “immersion heater” 44, which is preferably an electrical resistance element of no more than a 3 kW rated capacity, is mounted at a low height within the hot water tank. Four temperature sensors 46, 47, 48 and 49 are mounted within pockets in the hot water tank at approximate heights relating to 20%, 40%, 60% and 80% of the total tank height respectively. The four temperature sensors specifically may be configured as a hot water tank top temperature sensor 46, a hot water tank upper-mid temperature sensor 47, a hot water tank lower-mid temperature sensor 48, and a hot water tank bottom temperature sensor 49. The controller calculates an approximate hot water storage level based on the mean average of the four sensor values.
The DC (direct current) outputs of the PV-T collectors 16 are connected to a DC-AC inverter 50 for the solar PV system whose AC output is monitored by an electric generation power output sensor 52, such as a current transducer. The current transducer transmits the AC output signal to the heating controller.
As described in detail below, the controller regulates the heat pump to maintain user comfort and meet other system requirements such as pasteurisation and defrosting. The controller uses a variety of sensors to monitor and store the thermal status of the fluid circuits, the heat storage facility, the outdoor environment, and the heated space. Through a user interface, the controller also receives various indications of discomfort from occupiers of the heated space. Over time the controller develops profiles of the maximum and minimum comfortable temperature levels within the heated space and heat storage facilities by modifying an initial profile with said indications of discomfort.
To implement the features of the present invention, the controller may be an electronic or computerized controller that includes one or more processor devices that are configured to execute program code embodying the control methods associated with the present invention. It will be apparent to a person having ordinary skill in the art of computer programming of electronic devices how to program the controller to operate and carry out logical functions associated with the present invention. Accordingly, details as to specific programming code have been left out for the sake of brevity. Also, controller functionality could be carried out via dedicated hardware, firmware, software, or any combinations thereof, without departing from the scope of the invention. As will be understood by one of ordinary skill in the art, therefore, the controller may have various implementations. For example, the controller may be configured as any suitable processor device, such as a programmable circuit, integrated circuit, memory and I/O circuits, an application specific integrated circuit, microcontroller, complex programmable logic device, other programmable circuits, or the like. The controller may also include a non-transitory computer readable medium, such as random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), or any other suitable medium. Instructions for performing the methods described below may be stored in the non-transitory computer readable medium and executed by the processor device.
The ability of the controller to create optimised heat demand plans which are influenced by indications of discomfort permits the controller to exploit the complete range of user comfort rather than pursuing a pre-determined average comfort set-point in the manner of the prior art solutions. With a broader operating temperature range the system can store more heat in a heated space during periods of low marginal electricity cost and high heat pump performance. Together with the flexibility of simultaneous output, higher storage temperatures and greater COP that are afforded by the dual temperature heat pump, the combined system can develop optimised control strategies that greatly reduce daily operating cost.
Aspects of the invention, therefore, include a system for space heating or cooling a heated space. In exemplary embodiments, the system includes a heat pump including a refrigeration circuit for transferring heat from a heat source to a heat load for a heating operation, (and potentially from the heat load to the heat source for a cooling operation). A controller is configured to control the heat pump to perform the heating and cooling operations. A user interface is configured to receive user inputs from a user, wherein the user inputs include an indication of discomfort based on temperature within the heated space. The controller creates a profile for a minimum comfortable temperature level and a maximum comfortable temperature level based on the user inputs. An aspect of the invention is a method of controlling the system in accordance in accordance with the profiles for the minimum and maximum comfortable temperature profiles. The control method may be performed by a configured controller operating as a computer device that executes program code stored on a non-transitory computer readable medium. In accordance with this control method, the controller controls the heat pump to perform the heating and cooling operations.
To optimize performance relative to minimizing electricity costs, the controller is configured to determine electricity cost information, which may be variable. For example, when PV-T collectors as referenced above are used as a heat source, output can vary based on the amount and intensity of light reaching the collectors, such as based on time (e.g., day versus night) and varying weather conditions, which in turn results in a varying electricity cost. Accordingly, the controller is configured to determine variable electricity cost information based on a varying output by the heat source. Another source of electricity cost variability may derive from the electricity providers. It is common now for providers to impose variable electricity costs based on date/time, with peak use periods having a greater cost relative to low use periods. The controller may receive such variable electricity cost information from the provider. In exemplary embodiments, regardless of the basis for cost variation, variable electricity cost information may be determined with aid of a smart meter, which may be integrated as part of the controller or provided as a stand-alone component that transmits the cost information to the controller. In this manner, the controller is configured to determine a variable cost of electricity of the power source, and distribute flow as between the major and minor fluid circuits to perform the heating operations to minimize the electricity cost.
Using received data, the controller predicts for a period into the future a) the outdoor air temperature profile, b) the passive thermal gains to the heated space, c) the marginal cost of electricity, and d) the user demands from the heat storage facility. With these predictions, together with the comfort profiles and stored values of the thermal properties of the heated space, the controller creates plans which seek to maintain the temperature of the heated space within the comfortable minimum and maximum profiles, and maintain sufficient heat in the heat storage facility to meet user demands with the minimum net operating cost.
The controller continuously uses relative and absolute demand levels calculated by the plans to determine the operating mode that is likely to result in the lowest operating cost. The controller changes between modes by regulating the flow in each of the source, major and minor load circuits.
The controller implements a cost-optimising function exploiting features of the ‘dual temperature’ heat pump design which have not been previously been recognised, including for example:
In accordance with such features, in embodiments of the present invention the controller is configured to: predict an outdoor temperature profile based on outdoor temperature information measured by the outdoor temperature sensor; predict passive thermal gains of the heated spaced based on indoor temperature information measured by the indoor temperature sensor; predict a marginal cost of electricity of the system based on the received electricity cost information; predict user demand based on the user inputs to the user interface; generate an optimized heat demand plan in accordance with the predictions, the plan being optimized for maintaining the temperature of the heated space within a comfortable temperature range in accordance with the profiles for the minimum and maximum comfortable temperature levels while minimizing electricity cost; and control the heat pump to perform the heating and cooling operations in accordance with such plan. Similarly to the above, another aspect of the invention is a corresponding a method of generating the optimized heat demand plan, and controlling a heating and cooling system in accordance such plan. The control method may be performed by a configured controller operating as a computer device that executes program code stored on a non-transitory computer readable medium. Details of each of the aspects or steps of the control of the heating and cooling system are as follows.
The controller begins by creating an initial profile of maximum and minimum comfortable temperatures. In exemplary embodiments, profiles for the minimum and maximum comfortable temperature levels respectively may include a minimum temperature level and a maximum temperature level set for specified time intervals. For example, the week may be split into contiguous periods, for example fifteen minute time periods, and then for each time period a maximum and minimum comfortable temperature is defined. The maximum and minimum comfortable temperatures will initially be set to sensible limits which are defined through a settings screen of a user interface 54. The user interface 54 may include typical computer-type interface elements as are known in the art, such as a keypad or keyboard, a display which may include or be a touch screen display, various indicator devices for visual and/or audio indicators, such as LED lights, speakers, or the like, and any other suitable devices as are known to be employed in computer-type user interfaces.
The user-interface may be employed by a user to generate settings that define user temperature preferences based on time. The user preferences may be based on various characteristics of the occupants' daily and weekly schedules, and preferences which could allow an initial profile to be defined in a way that is more suited to the occupants' needs. For example, the user-interface could be employed to define whether the house is occupied during the day, at what time the occupants go to bed, at what time the occupants get up and whether the occupants would like the house to be heated more efficiently or to a hotter temperature than the average house. One reason a profile is preferable to a fixed temperature set-point at limited times of the day, is that the most comfortable temperature will depend on occupancy and activity levels, so a comfortable temperature in the morning may not be comfortable in the evening.
Once the initial maximum and minimum comfortable temperature profiles are set up, the occupants simply need to indicate discomfort at other times. For example, users may provide via the user interface an indication of a current discomfort based on temperature, such as by pressing an “It's too hot!” or an “It's too cold!” button on the user-interface 54. By indicating a current discomfort via the user interface, in response to the user inputs the controller will change the current system heating strategy to instantly relieve the occupant's discomfort, and will also modify the comfortable temperature profiles for this time period of the week and closely related time periods of the week. For example, if the time periods are 15 minutes long, the 15 minute time period after the current one may likely also need to be modified slightly. Similarly, uncomfortable temperatures on a Tuesday morning are also likely to be uncomfortable on a Wednesday morning, so the corresponding Wednesday morning 15 minute time period could also be changed.
To avoid the potential problem of a single time period having been declared both too hot and too cold, a minimum temperature difference (for example 2° C.) may be used. For example, if it is 16° C. in the house and the occupier presses the “It's too cold!” button, the minimum comfortable temperature should be set to a value above 16° C.; 17° C. is a reasonable value. Now if the maximum comfortable temperature is currently defined at 18° C., the maximum comfortable temperature for the current time period should be increased to 19° C. to maintain the minimum 2° C. difference.
Also, there is likely to be some variation of comfortable temperature throughout the year, so to minimise the number of occurrences of occupier discomfort, it is beneficial for the minimum and maximum comfortable temperature profiles to gradually regress back to the original baselines for these profiles. For example, every day the minimum comfortable temperature baseline could be re-calculated as 0.99*minimum comfortable temperature+0.01*baseline minimum comfortable temperature.
In exemplary embodiments, the controller monitors two further sensors of the system, termed the indoor or house air temperature sensor 56 and the outdoor air temperature sensor 58. On a regular basis, possibly several times a minute for example, the controller will receive, as a minimum, the current indoor (hereinafter referred to as “house”) and outdoor temperature sensor readings measured by the sensors. If the house temperature has drifted away from the value expected by the current heating plans by a threshold level or there is no plan, then a new plan will be created. For example, if the threshold is 0.25° C. and the current house temperature is more than 0.25° C. away from the value expected at this time in the current plan, a new plan will be required. Using the measurements from the house temperature 56 and the outdoor temperature sensor 58, the controller will develop a plan for the next period of time. An example method of creating a heating plan is shown in
In exemplary embodiments of the method of creating a heating plan, the controller starts by predicting the house temperature for every minute in the next 24 hours without adding heat via the heating system. The house temperature will vary due to house heat loss to outdoors, passive solar gain, occupancy gain, and gains due to appliance and lighting use. These gains and losses can be estimated using historical data or can be based on generally expected values for these figures.
Next, for every minute in the next 24 hours, the predicted house temperature is compared with the minimum and maximum comfortable temperatures. The times at which two events occur are stored:
If neither of these events occurs, no heat is needed for the next 24 hours. If only one event occurs, this time is set as the next target time. If both events occur, the soonest of these two events is set as the next target time.
The optimum heating schedule is then determined in order to have a suitable house temperature at the next target time. The suitable house temperature will be between the minimum and maximum comfortable house temperatures.
The predicted house temperature for every minute between now and the target time when using the optimum heating schedule is now compared with the minimum and maximum comfortable temperatures at that time. If the temperature goes above the maximum, no more heat is added in subsequent minutes. Again, the times at which two events occur are stored:
If neither of these events occurs, the heating schedule will be used. If only one event occurs, this time is set as the next target time. If both events occur, the soonest of these two events is set as the next target time. To avoid excessive compressor restarts, if this target time is less than 15 minutes away, the target time will be set to 15 minutes and the optimum heating schedule for the 15 minutes target time will be used. Otherwise, the process repeats with the new target time until a suitable heating schedule is identified.
The optimum heating schedule is simply a list of space heating demands in Watts for every minute until the target time. These demands are met by controlling the hardware (for example, the speed of a compressor and space heating, hot water and coolant pumps). When the optimum heating schedule is determined, the predicted house temperatures for every minute will also be calculated. These predicted house temperatures can then be used to determine whether a new plan is required when temperatures are read again.
With most heating systems, it is more efficient to maximise the operating time of the space heating circuit as this reduces the average temperature required by the heat emitters (such as radiators) to deliver a specific amount of heat to a building. With heat pumps, lower emitter temperatures relate to lower condensing temperatures which greatly improves COP. Additionally, longer operating times reduce the problems of short-cycling, which otherwise can lead to excessive wear on the compressor motor and power electronics, and inefficiencies due to poor COP during start-up conditions.
To calculate the optimum heating schedule, the controller first calculates the average heat demand as follows:
Q
avg
=ΔT
h
*M
h/(1+KPM*(1−KPMM−1)/(1+KPM))
If the average demand exceeds a maximum preferred demand per minute threshold value, the average demand will be used for all minutes between now and the target time. Otherwise, the demand will be unevenly met between now and the target time. It is preferable to run during some periods of the day rather than others, so a preference factor is used for every minute between now and the target time. A single demand factor can be calculated as,
DF=Qtot/Σnowtarget(PF*KTT),
From this the demand for each minute is calculated as: demand for minute=(demand factor*preference factor for the minute). In the preferred embodiment, the preference factor is inversely correlated to the predicted output of the solar PV inverter.
To keep the space heating plan within the constraints of the heat pump capacity, the controller ‘caps’ the planned demand at a maximum preferred demand per minute with the excess demand being split equally over all previous minutes without exceeding the maximum preferred demand for any minute. Any excess demand remaining can be added to the minutes after the tested minute as soon as possible, while not exceeding the maximum preferred demand per minute for any minute. The cap can be varied to improve the balance of heat output between the space heating and hot water circuits.
Most heating systems, including inverter heat pumps, have a minimum heat output when turned on. For this reason, a minimum demand (equal to minimum output) is considered for every minute. The minutes are looped through in order, and when the demand for any minute is less than the minimum demand, the demand for the minute is set to zero. The demand that existed is spread over the previous minutes if that would mean leaving the heating system on, or over the next minutes if the heating system was not on.
The use of preference/cost factors and minimum and maximum comfortable temperature profiles, instead of set-point profiles, allows the heating to be applied most efficiently within the comfortable indoor air temperature range. So where the use of a set-point profile would force a specific path to be followed, this method allows the optimum path to be determined based on current conditions. One effect of the approach of the present invention is that when PV generation is used in calculating the preference factor, the house will often be heated when unoccupied because the most cost-effective solution is to heat the house during the daytime when PV output is greatest. Conversely, this allows the house to cool when the occupants have returned to the house such as for example from work. This strategy has an additional benefit in that when the predicted demand turns out to be less than the actual demand, the cost of compensating for the error in prediction is significantly lower. When PV generation is expected to be low, for example in winter, a different path which is more efficient will automatically be followed due to the reduced preference for daytime demand when predicted PV output is lower.
Hot water demands can be planned for the next 24 hours. For working people or people otherwise generally not home during business hours, hot water use will generally be greater in the morning and evening. So a basic embodiment of the hot water planning is simply to determine a minimum required hot water level in the morning for when the occupants get up and a minimum required hot water level in the evening for when the occupants return to the house such as for example from work. By considering the losses and current temperatures in the heat storage, which is preferably a hot water tank, the constant power that would be required to meet these two demand levels can be calculated.
Demand levels are calculated by the controller based on the difference between the current and target storage levels, which are calculated from temperature measurements of the hot water tank coupled with knowledge of the tank capacity and loss rate.
When the system is required to pasteurise water stored in the tank, the controller sets a hot water level target in the afternoon which is sufficient to meet the pasteurisation requirement, e.g. an average tank temperature of 65° C. The afternoon target is chosen for pasteurisation in order to maximise the use of PV electricity and absorbed solar heat during the day to reduce the cost of pasteurisation. When pasteurisation is not required, the afternoon target is determined by the predicted hot water demand and cost profiles over the next 24 hours in a similar fashion to the space heating plan. The timing of the afternoon target is preferably set to occur after the majority of the predicted daily PV electricity has been generated and before the occupants return home; for example, 4 pm.
The time that can be taken as a morning target should be a time before a morning shower or other heavy hot water use, and can be indirectly set from the user-interface 54 which requests users to define their ‘getting-up times’.
As the measured hot water storage level, as calculated by sensors 46, 47, 48 and 49, is falling, the calculated hot water demand rises. If either a) the hot water demand exceeds a maximum capacity of the heat pump to reach the next target temperature, or b) the storage level falls below an acceptable minimum, the controller enters a “boost mode” which uses the electric immersion heater 44 to supply heat to the tank instead of the heat pump. The use of the immersion heater 44 can be minimised by predicting the heat pump output capacity.
The heat pump is required to meet both the space heating and hot water demands. Plans for the space heating demands and hot water demands are constructed as explained above. Heat pump performance (COP) is generally maximised by heating the space heating and hot water circuits simultaneously. However, the ability of the heat pump to match or exceed each of the space heating and hot water demands is limited by many factors. These factors include for example: the return temperature and flow rate of the load circuits and the source fluid, the output or transfer capacities of the compressor, condenser and desuperheater, the freezing point of the source fluid, the condensing temperature limit, and the measured compressor discharge temperature and its safe limits.
Certain factors are fixed and can be programmed into the controller, while other factors must be predicted. A performance model of the dual temperature heat pump is built into the controller to enable accurate predictions of the heat pump limitations such that the controller can anticipate when demands will be difficult to meet. For example, the controller will avoid operation at conditions where the maximum refrigerant condensing temperature or the minimum coolant flow temperatures are likely to be exceeded. Where the controller is required to meet space heating and hot water demands simultaneously, one of the plans could be prioritised whilst the other plan is only loosely followed. The space heating plan tries to keep the house temperature between a minimum comfortable temperature and a maximum comfortable temperature. These temperatures are likely to be quite close to each other and will vary throughout the day, so the space heating plan can only be allowed to vary a small amount before re-planning will become necessary. The hot water plan, however, has a large difference between minimum and maximum acceptable tank temperatures and the maximum acceptable tank temperature is unlikely to ever be reached, so the hot water plan can be followed more loosely if required. If the hot water plan is just calculated as a constant demand until the target time, the demand level required to activate the minor circuit in the heat pump can be varied based on the current space heating demand. So when space heating is demanded, a lower hot water demand can be used to activate the minor circuit in the heat pump than when there is no space heating demand. When providing both space heating and hot water, the compressor speed can be set to try to match the total heat output to the total heat demand. This can cause too much hot water to be delivered and too little space heating to be delivered, which would be undesirable when trying to match the space heating demand to the plan. Therefore, in this case it is preferable to set the compressor speed such that the space heating demand matches the space heating output, which will cause the hot water output to be significantly greater than the hot water demand. When the hot water plan is only loosely followed, this is an acceptable strategy because the hot water demand will reduce very gradually as it approaches its target time.
In a second embodiment of the invention,
The controller monitors the AC power output of the solar photovoltaic inverter 50, which is connected to a local array of solar photovoltaic modules 66. The measured AC power is connected to the mains bus bar of the building such that the heat pump will always draw power from the inverter when it is available.
A combination of occupancy sensors such as infrared cameras 68 and additional secondary indoor temperature sensors 70 are used to gather indications of discomfort without the need for a user-interface. Such indications may include variations in temperature between rooms due to use of thermostatic radiator valves and increased radiant heat loss from occupants' bodies which may indicate that they are feeling too hot. The initial maximum and minimum indoor temperature comfort profiles are calculated from universal comfortable temperature profiles rather than user-defined preferences.
Additional sensors may be combined with the user-interface of the first embodiment to enable the controller to match user comfort and hot water requirements more closely so the users are less likely to indicate discomfort and the performance will suffer fewer reactionary responses to demand which are generally inefficient.
Heat demands are regulated with a relative function. When hot water demand exceeds a minimum threshold, the space heating output zone valve 92 is closed and the hot water zone valve 90 is opened; when the hot water demand falls below a second threshold value the zone valve signals are reversed.
To refine daily hot water target times and target levels, the controller compares the user-defined times against historical measurements of changes in hot water level as part of the cost-minimising function. For example, heating a hot water tank in an evening may be more efficient than in the early morning due to higher source temperatures, even after compensation for additional heat losses from the tank.
The timing of pasteurisation is preferably regulated through analysis of hot water usage over many weeks to minimise daily net marginal cost.
To combine the space heating or cooling plan (hereinafter referred to as “the space plan”) and hot water plans, an iterative process can be used. First, the space plan can be defined independently of the hot water plan. Next, the hot water plan can be developed based on use of the space plan—this would mean that rather than having a fixed demand for hot water at all points in the plan, the demand would be spread out differently depending on how much space heating or cooling is required at any particular time. If a space plan is then developed based on use of the hot water plan, it is likely that it would be slightly different to the original space plan, as reducing the total heat pump demand at high demand points of time is likely to allow the compressor to run at a slower speed and probably more efficiently. Developing a hot water plan based on this new space plan will probably improve the hot water plan slightly. Repeatedly improving the space and hot water plans in this way will produce an efficient combined plan which minimises the frequency of operating mode changes which generally produce inefficient transient periods.
The net cost of heat transfer is calculated by assigning a time-varying cost function to local and grid-level electricity supplies and a performance function to the heating or cooling demand. The performance function also uses predicted profiles of outdoor and indoor air temperature, source temperature and hot water storage temperatures, together with stored values for the heat transfer capacity of the space heating or cooling circuit, to refine the source and load temperature profiles and determine the performance profile over the time period. Combining the heat demands, performance profiles, and net cost functions, an overall cost profile can be predicted. The cost profile is then used to apportion heat demand throughout the time period of the space and hot water plans.
In a third embodiment of the invention,
The controller monitors the AC power output of a wind turbine generator 74 with a current transformer used as the electric generator power output sensor 52. The measured AC power is connected to the mains bus bar of the building such that the heat pump will always draw power from the inverter when it is available. The preference factor used in the demand profile calculation is inversely correlated to the measured output of the wind turbine generator.
The controller receives data regarding the live and forecast outdoor air temperature from a digital connection to an internet server 76. This arrangement avoids the need for a dedicated outdoor sensor which saves on installation and component cost.
The load circuit may include a heat exchanger within a heat storage vessel containing a phase change material 78 such as paraffin. Heat may be recovered from the paraffin using a fluid circulating through a secondary heat exchanger within the paraffin for hot water, space heating or other applications.
In
The minor circuit includes a minor circuit heat exchanger with spa circuit 82, which is cooled by a pool-heating circuit. The pool-heating circuit contains an open heated water vessel 84, such as a spa or ‘hot tub’, a spa fluid circulation pump 86 and a spa return temperature sensor 88.
The finned-coil evaporator 60 is mounted inside the building and is heated by a combination of outdoor air and indoor air recovered from the building and propelled over the surfaces of the evaporator by the fan 62 in the manner of an “exhaust air heat pump”. Exhaust air heat pump systems minimise heat losses due to ventilation, which reduces annual heating demands for a given hot water storage requirement. With the present invention, the higher fraction of heat storage relative to annual heat demand assists the ability of the controller to minimise net costs through a forecasting plan that can modify both heat load and heat demand.
In a fifth embodiment of the invention, the refrigerant in the heat pump is compressed at fixed volume by a high temperature heat source in the manner of an absorption or adsorption cycle. The source of high temperature heat may be a flame from combustion of hydrocarbon fuel such as natural gas or an ambient source from a geothermal aquifer or a concentrating solar absorber. The cost of supplying the high temperature heat source may be variable over a daily period if, for example, the heat is supplied by a concentrating solar absorber.
An aspect of the invention is a system for space heating a heated space. In exemplary embodiments, heating system includes a heat pump including a refrigeration circuit for transferring heat from a heat source to a heat load for heating operations, a controller configured to control the heat pump to perform the heating operations, and a user interface configured to receive user inputs from a user, wherein the user inputs include an indication of discomfort based on temperature within the heated space. The controller creates a profile for a minimum comfortable temperature level and a maximum comfortable temperature level based on the user inputs, and the controller controls the heat pump to perform the heating operations in accordance with the profiles for the minimum and maximum comfortable temperature levels. The space heating system may include one or more of the following features, either individually or in combination.
In an exemplary embodiment of the system for space heating, the profiles for the minimum and maximum comfortable temperature levels respectively comprise a minimum temperature level and a maximum temperature level set for specified time intervals.
In an exemplary embodiment of the system for space heating, the user interface is configured to receive settings from a user that define user temperature preferences based on time, and the controller is configured to generate the profiles for the minimum and maximum comfortable temperature levels based on the user temperature preferences.
In an exemplary embodiment of the system for space heating, the user interface is configured to receive a user input including an indication of current discomfort based on temperature, and the controller is configured to control the heat pump to perform the heating operations in response to the indication of current discomfort.
In an exemplary embodiment of the system for space heating, the system further includes an outdoor temperature sensor for measuring an outdoor air temperature, and an indoor temperature sensor for measuring an indoor air temperature of the heated space, and the controller controls the heat pump to perform the heating operations further based on the outdoor and indoor temperatures.
In an exemplary embodiment of the system for space heating, the controller is configured to receive information regarding electricity cost of the system, and the controller controls the heat pump to perform the heating operations further based on the electricity cost information.
In an exemplary embodiment of the system for space heating, the controller is configured to: predict an outdoor temperature profile based on outdoor temperature information measured by the outdoor temperature sensor; predict passive thermal gains of the heated spaced based on indoor temperature information measured by the indoor temperature sensor; predict a marginal cost of electricity of the system based on the received electricity cost information; predict user demand based on the user inputs to the user interface; generate an optimized heat demand plan in accordance with the predictions, the plan being optimized for maintaining the temperature of the heated space within a comfortable temperature in accordance with the profiles for the minimum and maximum comfortable temperature levels while minimizing electricity cost; and control the heat pump to perform the heating operations in accordance with the optimized heat demand plan.
In an exemplary embodiment of the system for space heating, the heat pump is a dual temperature heat pump in which the refrigeration circuit comprises a major load circuit for performing space heating and cooling of the heated space, and a minor load circuit for performing a secondary heating operation.
In an exemplary embodiment of the system for space heating, the system further includes a boost heater for supplementing heat output of the heat pump to the major load circuit for space heating.
In an exemplary embodiment of the system for space heating, the system further includes a hot water tank thermally connected to the minor load circuit, wherein the secondary heating operation includes heating water in the hot water tank.
In an exemplary embodiment of the system for space heating, the system further includes a pre-heating thermal store arranged to pre-heat water before entering the hot water tank.
In an exemplary embodiment of the system for space heating, the system further includes a photovoltaic thermal array that act as the heat source.
Another aspect of the invention is a method of controlling a system for space heating a heated space. In exemplary embodiments, the control method includes the steps of: providing a heat pump including a refrigeration circuit for transferring heat from a heat source to a heat load for a heating operation, or from the heat load to the heat source for a cooling operation; controlling the heat pump to perform the heating and cooling operations; receiving user inputs via a user interface, wherein the user inputs include an indication of discomfort based on temperature; creating a profile for a minimum comfortable temperature level and a maximum comfortable temperature level based on the user inputs; and controlling the heat pump to perform the heating operations in accordance with the profiles for the minimum and maximum comfortable temperature levels. The control method may include one or more of the following features, either individually or in combination.
In an exemplary embodiment of the control method, the control method further includes the steps of: continuously measuring an outdoor temperature; continuously measuring an indoor air temperature of the heated space; and controlling the heat pump to perform the heating operations further based on the outdoor and indoor temperatures.
In an exemplary embodiment of the control method, the control method further includes the steps of: receiving information regarding electricity cost of the system; and controlling the heat pump to perform the heating operations further based on the electricity cost information.
In an exemplary embodiment of the control method, the control method further includes the steps of: predicting an outdoor temperature profile based on the measured outdoor temperature or internet weather data; predicting passive thermal gains of the heated spaced based on the measured indoor temperature; predicting a marginal cost of electricity of the system based on the received electricity cost information; predicting user demand based on the user inputs to the user interface; generating an optimized heat demand plan in accordance with the predictions, the plan being optimized for maintaining the temperature of the heated space within a comfortable temperature range in accordance with the profiles for the minimum and maximum comfortable temperature levels while minimizing electricity cost; and controlling the heat pump to perform the heating operations in accordance with the optimized heat demand plan.
Another aspect of the invention is a non-transitory computer readable medium storing program code for use in controlling a heat pump including a refrigeration circuit for transferring heat from a heat source to a heat load for a heating operation. In exemplary embodiments, the program code when executed by a computer performs the steps of: controlling the heat pump to perform the heating and cooling operations; receiving user inputs via a user interface, wherein the user inputs include an indication of discomfort based on temperature; creating a profile for a minimum comfortable temperature level and a maximum comfortable temperature level based on the user inputs; and controlling the heat pump to perform the heating in accordance with the profiles for the minimum and maximum comfortable temperature levels. The non-transitory computer readable medium may include one or more of the following features, either individually or in combination.
In an exemplary embodiment of the non-transitory computer readable medium, the program code when executed by the computer further performs the steps of: continuously measuring an outdoor temperature; continuously measuring an indoor air temperature of the heated space; and controlling the heat pump to perform the heating operations further based on the outdoor and indoor temperatures.
In an exemplary embodiment of the non-transitory computer readable medium, the program code when executed by the computer further performs the steps of: receiving information regarding electricity cost of the system; and controlling the heat pump to perform the heating and cooling operations further based on the electricity cost information.
In an exemplary embodiment of the non-transitory computer readable medium, the program code when executed by the computer further performs the steps of: predicting an outdoor temperature profile based on the measured outdoor temperature; predicting passive thermal gains of the heated spaced based on the measured indoor temperature; predicting a marginal cost of electricity of the system based on the received electricity cost information; predicting user demand based on the user inputs to the user interface; generating an optimized heat demand plan in accordance with the predictions, the plan being optimized for maintaining the temperature of the heated space within a comfortable temperature range in accordance with the profiles for the minimum and maximum comfortable temperature levels while minimizing electricity cost; and controlling the heat pump to perform the heating operations in accordance with the optimized heat demand plan.
Although the invention has been shown and described with respect to a certain embodiment or embodiments, equivalent alterations and modifications may occur to others skilled in the art upon the reading and understanding of this specification and the annexed drawings. In particular regard to the various functions performed by the above described elements (components, assemblies, devices, compositions, etc.), the terms (including a reference to a “means”) used to describe such elements are intended to correspond, unless otherwise indicated, to any element which performs the specified function of the described element (i.e., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the herein exemplary embodiment or embodiments of the invention. In addition, while a particular feature of the invention may have been described above with respect to only one or more of several embodiments, such feature may be combined with one or more other features of the other embodiments, as may be desired and advantageous for any given or particular application.
This invention may find applications in the fields of domestic, commercial and industrial building management systems, particularly where a heating or cooling system is used to keep temperatures comfortable for occupants.
