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Database and code to simulate heat pumps

Project description

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:

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.


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 hplib folder.


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 License: CC BY 4.0.

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

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.

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