Heat Storage

Create Controlled Function

pandaprosumer.create_controlled_heat_storage(prosumer, q_capacity_kwh=0.0, name=None, index=None, in_service=True, level=0, order=0, init_soc=0.0, period=0, **kwargs)[source]

Controller

Graphical representation here

Input Static Data

Parameter	Description	Unit
name	Custom name for the Storage	N/A
in_service	Indicates if the Storage is in service	N/A
q_capacity_kwh	Capacity in kilowatt-hours	kWh

Input Time Series

Parameter	Description	Unit
q_received_kw	Received heat power	kW

Output Time Series

Parameter	Description	Unit
soc	State of Charge	%
q_delivered_kw	Delivered heat power	kW

Mapping

The Simple Storage model uses Generic Mapping Scheme.

Model

class pandaprosumer.controller.models.HeatStorageController(prosumer, heat_storage_object, order, level, init_soc=0.0, in_service=True, index=None, **kwargs)[source]

Controller for heat storage systems.

control_step(prosumer)[source]

Executes the control step for the controller.

Parameters:: prosumer – The prosumer object

q_to_deliver_kw(prosumer)[source]

Calculates the heat to deliver in kW.

Parameters:: prosumer – The prosumer object
Returns:: Heat to deliver in kW

q_to_receive_kw(prosumer)[source]

Calculates the heat to receive in kW.

Parameters:: prosumer – The prosumer object
Returns:: Heat to receive in kW

The heat storage model computes the heat received and delivered by the storage element, and updates the state of charge (SOC) accordingly.

\begin{align*} E_\text{received} &= \dot{Q}_\text{received} \cdot \frac{\Delta t}{3600} \\ E_\text{delivered} &= \dot{Q}_\text{delivered} \cdot \frac{\Delta t}{3600} \\ \text{SOC}_{t+1} &= \frac{E_\text{stored}}{Q_\text{capacity}} = \frac{E_\text{stored, t} + E_\text{received} - E_\text{delivered}}{Q_\text{capacity}} \\ \end{align*}

The SOC is adjusted each timestep to reflect the energy balance within the storage unit. If the requested heat exceeds available storage, the delivery is capped to the actual available energy.