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Heat Pump

Heat Pump Asset Configuration Options¶

Express Mode¶

In the express heat pump configuration mode, the user is provided with a template (synthetic) heat pump model to include as an asset at a select location in the simulated local energy market by naming the asset and setting its location: 1. Name: select a unique name for the heat pump; 2. Location: the location selected by the user is automatically uploaded.

alt_text — **Figure 2.23**: Heat pump express mode configuration options in the Grid Singularity Exchange web-based interface (Singularity Map)

For more information, on the parameters and default values used to create the template heat pump digital twin, see Table below.

Advanced Mode¶

In the advanced heat pump configuration mode, there are two settings referring to its Capacity and Profile and the Trading Strategy as shown in the figure below:

Under the Capacity and Profile tab, the following parameters can be defined, described in Table 2.1 below:

Heat pump type
Minimum and maximum temperature
Heat pump tank volume
Heat pump consumption profile
Initial temperature
External (ambient) temperature profile
Maximum power rating for the heat pump

Under the Trading Strategy tab, the following parameters can be defined, described in the Table 2.1 below:

Initial buying rate
Final buying rate
Preferred buying rate

Table 2.1: parameter-tableHeat Pump Configuration Parameters in the Grid Singularity Exchange

Parameters	Description	Unit	Data Type	Mandatory User Input	Default Value
Name	Name of the asset	-	Text	Yes	N/A
Heat Pump Type	Heat pump type specification from drop-down menu: Air-to-Water or Water-to-Water	-	Category value	No	N/A
Minimum Temperature	Minimum water temperature of the heat pump storage (provided by the user based on personal preference; if unavailable, set at 25°C since this is the comfort temperature setting for underfloor heating)	°C	Constant Value	No	25
Maximum Temperature	Maximum water temperature of the heat pump storage (provided by the user based on personal preference; if unavailable, set at 60°C based on analysis of specification sheets for several heat pumps where value ranges between 55 and 65°C)	°C	Constant Value	No	60
Tank Volume	Volume/capacity of the thermal storage tank based on technical sheet (nameplate) of the storage tank (if unavailable average volume of 500l set as default based on analysis of specification sheets for consumer heat pump storages)	l	Constant Value	No	500
Consumption Profile	Electricity consumption profile of the heat pump (amount of energy the heat pump consumes in kWh to produce heat), to be added by the user	kWh	Profile /csv file	Yes	N/A
Initial temperature	Initial water temperature of the heat pump storage at the beginning of the simulation (provided by the user based on personal preference; if unavailable, set at the same value as the minimum temperature)	ºC	Constant Value	No	25
External Temperature Profile	Ambient temperature profile at the community location based on historical weather data (user input, which can be derived from Copernicus Climate Change Service or similar service and resampled to the 15-minute or another market slot resolution)	ºC	Profile /csv file	Yes	N/A
Maximum Power Rating	Maximum electricity demand by the heat pump based on technical sheet (nameplate) of the heat pump Note: If unavailable, it can be estimated by using the historical data to calculate the maximum electricity consumption over the coldest month for each heat pump in the community separately, since the heat demand during this month is at the highest level, and then deriving the mean value and setting this value as a standard heat pump capacity.	kW	Constant value	No	3
Initial buying rate	Minimum buying price for the heat pump in each time slot (based on user input, can be set to feed-in-tariff or another value; the default is 0 since most heat pump owners prefer maximum storage / self-consumption)	cts/kWh	Constant value	No	0
Final buying rate	Maximum buying price for the heat pump in each time slot. The user can choose between “User Input” and “Market maker rate”.	cts/kWh	Constant value	No	Market-maker-rate
Preferred buying rate	Set to buy energy at a price that is equal or less than a certain value in each time slot based on a smart trading algorithm or input value that can be (i) Initial buying rate, in case your strategy is just to keep the heat pump operational to satisfy your own demand, or (ii) Feed-in-tariff in case your strategy is intending to maintain a minimum revenue level for another asset like PV, or (iii) Final buying rate, in case your strategy is intending to maximise storage regardless of the cost, or (iv) Average or another value between the feed-in-tariff and the market maker rate to balance cost and supply security preferences.	cts/kWh	Constant value	No	15

Heat Pump Asset Trading Strategy¶

The heat hump places bids for electrical energy ranging from an initial to final buying rate, with prices increasing incrementally within the market slot upon the update interval. Asset owners (or managers) can either set the final rate as a default preferred buying rate or select a preferred buying rate based on a smart trading algorithm.

When the heat pump bids are below the preferred buying rate, the heat pump tries to consume as much energy as possible to satisfy the demand, while also charging the thermal storage for future use, thus maximising the benefit from lower electricity prices (case a). On the other hand, if the electricity price is higher than the specified buying price, the heat pump only consumes the required energy to maintain the storage at the same temperature level as the one before the energy trade occurs (i.e. consumes only the energy required to satisfy the asset owner’s heat demand), aiming to minimise the costs incurred by the increased energy prices (case b).

a. Bid rate <= Preferred buying rate¶

If the bid price is below the preferred buying rate, the heat pump strategy is to consume the maximum amount of energy. The maximum energy that the heat pump can buy at any point in time is calculated based on the following equation:

\[ E_{to buy} = min(P_{max} * t_{slot}, (T_{max} - T_{curr} + T_{decrease}) * (0.00116 * V_{tank} * \rho_{water}) / COP) \]

where

\(P_{max}\) is the maximum power rating
\(t_{slot}\) is the slot length
\(T_{max}\) is the maximum temperature of the storage tank
\(T_{curr}\) is the current temperature of the storage tank
\(T_{decrease}\) is the temperature decrease of the storage tank due to heat consumption
\(V_{tank}\) is the volume of the storage tank
\(\rho_{water}\) is the density of water
\(COP\) is the coefficient of performance of the heat pump; depends on the heat pump type, and \(\Delta T = T_{curr} - T_{ambient}\)

b. Bid rate > Preferred buying rate¶

In this situation, the heat pump strategy is to consume the least possible amount of energy in order to keep the temperature at the same level, since the prices are relatively high. Two different situations can arise:

\(T_{curr} > T_{min} + T_{decrease}\): In this case, the heat pump does not consume any energy (it’s not commanded to function because the temperature will be within the temperature limits even if some heat is consumed in the market slot). Therefore, \(E_{tobuy} = 0\)
\(T_{curr} <= T_{min} + T_{decrease}\): In this case the heat pump is forced to function, and it consumes the energy to maintain the temperature at the minimum, taking into account the energy consumption of the user’s premise.

In all cases, the maximum power rating is respected, meaning that not more energy is requested than the energy equivalent of the Maximum Power Rating.