This README file was generated on [2024-01-12] (YYYY-MM-DD) by [Jan Bengsch]. Last updated: [2024-01-12]. ------------------- GENERAL INFORMATION ------------------- // Title of Dataset: Replication data for: Integriertes CO2- Kälteanlagensystem einer Molkerei: Energieflussanalyse und Potenzial für einen kalten thermischen Energiespeicher // DOI: // Contact Information // Name: Jan Bengsch // Institution: SINTEF Ocean // Email: jan.bengsch@sintef.no // ORCID: 0009-0006-4084-6096 // Contributors: Jan Bengsch, Eirik Starheim Svendsen, Håkon Selvnes, Lukas Köster, Armin Hafner, Kristina Norne Widell, Sigmund Jenssen // Kind of data: Data files (.csv) and figures (.svg) // Date of data collection/generation: 2023-03-06 - 2023-06-25 // Geographic location: Røros, Norway // Funding sources: This work was carried out within the EU project "ENOUGH - European Food Chain Supply to reduce GHG emission by 2050". This project received funding from the Horizon 2020 Framework Programme for Research and Innovation of the European Union (project no. 101036588) and also through the research project KSP PCM-STORE (308847) supported by the Research Council of Norway and industry partners. PCM-STORE aims at building knowledge on novel PCM technologies for low-temperature energy storage. // Description of dataset: This dataset contains the data of the publication: Bengsch, J., Svendsen, E.S., Selvnes, H., Köster, L., Hafner, A., Widell, K.N., Jenssen, S. Integriertes CO2- Kälteanlagensystem einer Molkerei: Energieflussanalyse und Potenzial für einen kalten thermischen Energiespeicher. Presented at the DKV-Tagung 2023, Hannover, p. 11. -------------------------- METHODOLOGICAL INFORMATION -------------------------- The data is measurement data that was measured in a dairy using energy flow meters (mass flow sensor and temperature sensors). The location of the measuring instruments can be traced using "01_Figure_1_P&ID". A list of the measuring instruments used is shown in "02_Table_1_List of used flow meters". For the plots of the cooling load (Fig. 2 and 3 (File name 03_ and 04_) the .csv files contain the mass flow, the temperatures and the cooling capacity. The medium is propylene glycol (35%). The values with "_HX" are process cooling and "_AC" are air conditioning and cold storage. For the plot of the heating load (Fig. 6 and 7 (file name 05_ and 06_) the .csv files contain the mass and the heating load calculated based on the mass flow. The sensors HW-04 to HW-07 currently only measure the mass flow and accumulated mass flow. A constant flow and return temperature of 65°C and 10°C is therefore assumed for "CIP process", "CIP truckhall" and "Pricess hot water" for the results. In mid-May 2023, an old milk tank was installed as a hot water tank for the "Surplus", which is fed with approx. 35°C hot water from the hot water tanks when they are full. Depending on the evaluation period, a water temperature of either 65°C (times before May 2023) or 35°C (times after May 2023) is therefore assumed. -------------------- DATA & FILE OVERVIEW -------------------- 00_README_file.txt 01_Figure_1_P&ID.svg 02_Table_1_List of used flow meters.csv 03_Figure_2_Cooling load in winter week 10.csv 03_Figure_2_Cooling load in winter week 10.svg 04_Figure_3_Cooling load in summer week 25.csv 04_Figure_3_Cooling load in summer week 25.svg 05_Figure_6_Heating load in winter week 10.csv 05_Figure_6_Heating load in winter week 10.svg 06_Figure_7_Heating load in summer week 25.csv 06_Figure_7_Heating load in summer week 25.svg ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: 03_Figure_2_Cooling load in winter week 10.csv and 04_Figure_3_Cooling load in summer week 25.csv ----------------------------------------- Commas (,) are used as decimal separators. Semicolons (;) for columns. timestame dd/mm/yyyy hh:mm mdot_HX Mass flow for process cooling in kg/s t_tur_HX Temperature (cold side) to the heat exchanger in deg C t_retur_HX Temperature (warm side) from the heat exchanger in deg C Qdot_from_mdot_HX Cooling capacity for process cooling in kW mdot_AC Mass flow for air conditioning and cooling rooms in kg/s t_tur_AC Temperature (warm side) from the consumers in deg C t_retur_AC Temperature (cold side) to the consumers in deg C Qdot_from_mdot_AC Cooling capacity for air conditioning and cooling rooms in kW ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: 05_Figure_6_Heating load in winter week 10.csv and 06_Figure_7_Heating load in summer week 25.csv ----------------------------------------- Commas (,) are used as decimal separators. Semicolons (;) for columns. timestamp dd/mm/yyyy hh:mm mdot_CIP Mass flow for CIP process in kg/s Qdot_from_mdot_CIP Heating capacity for CIP process in KW mdot_tank Mass flow for CIP truck hall in kg/s Qdot_from_mdot_tank Heating capacity for CIP truck hall in KW mdot_pro Mass flow for Process hot water in kg/s Qdot_from_mdot_pro Heating capacity for Process hot water in KW mdot_drain Mass flow for Surplus in kg/s Qdot_from_mdot_drain Heating capacity for Surplus in KW -------------------------- SHARING/ACCESS INFORMATION -------------------------- Use citation as recommended by the repository for use of this dataset. See repository for license type.