hplib 0.0.5

Database and code to simulate heat pumps

hplib - heat pump library

Repository with code to

• build a database with relevant data from public Heatpump Keymark Datasets.
• identify efficiency parameters from the database with a least-square regression model, comparable to Schwamberger [1].
• simulate heat pump efficiency (COP) as well as electrical (P_el) & thermal power (P_th) and massflow (m_dot) as time series.

For the simulation, it is possible to calculate outputs of a specific manufacturer + model or alternatively for one of 6 different generic heat pump types.

[1] K. Schwamberger: „Modellbildung und Regelung von Gebäudeheizungsanlagen mit Wärmepumpen“, VDI Verlag, Düsseldorf, Fortschrittsberichte VDI Reihe 6 Nr. 263, 1991.

For reference purposes:

• DOI:
• Citation: Tjarko Tjaden, Hauke Hoops, Kai Rösken. (2021). RE-Lab-Projects/hplib: heat pump library (v1.3). Zenodo. https://doi.org/10.5281/zenodo.5521597

Documentation

If you're interested in how the database and parameters were calclulated, have a look into the Documentation HTML or Jupyter-Notebook. There you also find a simulation examples and a validation.

Usage

Download or clone repository:

git clone https://github.com/RE-Lab-Projects/hplib.git

Create the environment:

conda env create --name hplib --file requirements.txt

Create some code with import hplib and use the included functions hplib.load_database(), hplib.get_parameters, hplib.HeatPump and hplib.HeatPump.simulate.

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Hint: The csv files in the output folder are for documentation and validation purpose. The code and database files, which are meant to be used for simulations, are located in the src folder.

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Heat pump models and Group IDs

The hplib_database.csv contains the following number of heat pump models, sorted by Group ID

[Group ID]: Count	Reglulated	On-Off
Outdoor Air / Water	[1]: 366	[4]: 23
Brine / Water	[2]: 54	[5]: 53
Water / Water	[3]: 0	[6]: 10

Database

All resulting database CSV file are under .

The following columns are available for every heat pump of this library

Column	Description	Comment
Manufacturer	Name of the manufacturer	30 manufacturers
Model	Name of the heat pump model	506 models
Date	heat pump certification date	2016-07-27 to 2021-03-10
Type	Type of heat pump model	Outdoor Air/Water, Brine/Water, Water/Water
Subtype	Subtype of heat pump model	On-Off, Regulated
Group ID	ID for combination of type and subtype	1 - 6
Refrigerant	Refrigerant Type	R134a, R290, R32, R407c, R410a, other
Mass of Refrigerant [kg]	Mass of Refrigerant	0.15 to 14.5 kg
SPL indoor [dBA]	Sound emissions indoor	15 - 68 dBA
SPL outdoor [dBA]	Sound emissions outdoor	33 - 78 dBA
PSB [W]	Eletrical power consumption, standby mode	3 to 60 W
Climate	Climate definition for set points, which were used for parameter identification	average, colder, warmer
P_el_h_ref [W]	Electrical power at -7°C / 52°C	881 to 23293 W
P_th_h_ref [W]	Thermal heating power at -7°C / 52°C	2400 to 69880 W
p1-p4_P_th	Fit-Parameters for thermal power	-
p1-p4_P_el	Fit-Parameters for electricl power	P_el = P_el_ref * (p1 * T_in + p2 * T_out + p3 + p4 * T_amb)
p1-p4_COP	Fit-Parameters for COP	COP = p1 * T_in + p2 * T_out + p3 + p4 * T_amb
p1-p4_EER	Fit-Parameters for EER	EER = p1 * T_in + p2 * T_out + p3 + p4 * T_amb
MAPE_P_el	mean absolute percentage error for electrical input power (simulation vs. measurement)	average over all heat pump models = 16,3 %
MAPE_COP	mean absolute percentage error for thermal input power (simulation vs. measurement)	average over all heat pump models = 9,8 %
MAPE_P_th	mean absolute percentage error for coefficient of performance (simulation vs. measurement)	average over all heat pump models = 19,7 %

Input-Data

The European Heat Pump Association (EHPA) hosts a website with the results of laboratory measurements from the keymark certification process. For every heat pump model a pdf file can be downloaded from https://keymark.eu/en/products/heatpumps/certified-products.

This repository is based on all pdf files that were download for every manufacturer on 2021-03-12.

Further development & possibilities to collaborate

• Extend hplib.py and hplib_database.csv for cooling functionality
• Make hplib installable via pip

If you find errors or are interested in developing together on the heat pump library, please create an ISSUE and/or FORK this repository and create a PULL REQUEST.