Technological, Economic and Environmental Optimization of Energy and Material Recovery from Biodegradable Waste: Experimental Dataset

----------------------------------------------------------------------------------------------------------------------------------------Technological, Economic and Environmental Optimization of Energy and Material Recovery from Biodegradable Waste: Experimental Dataset---------------------------------------------------------------------------------------------------------------------------------------- * ReadMe version: 1.0 (2026-06-29)* Dataset version: 1.0 (2026-06-29)* Dataset DOI: 10.5281/zenodo.21079219 --------------------------------------------------------------------CONTACT--------------------------------------------------------------------* Dominik Stransky* [e-mail]* [phone]* ORCID: 0000-0002-5910-4029* Dept. of Water Technology and Environmental Engineering. Faculty of Faculty of Environmental Technology, University of Chemistry and Technology, Prague* Technicka 5, 166 28, Prague 6, Czech Republic ______Creators______* Dominik Stransky (0000-0002-5910-4029; University of Chemistry and Technology, Prague), [Contact Person, Data Collector, Data Manager, Project Member, Researcher, Work Package Leader]* Petr Dolejs (0000-0001-5708-3909; University of Chemistry and Technology, Prague), [Data Collector, Data Manager, Project Member, Researcher, Work Package Leader]* Ales Paulu (0000-0002-7371-7657; University of Chemistry and Technology, Prague), [Data Collector, Data Manager, Project Member, Researcher, Work Package Leader]* Anna Cardova (0000-0002-6942-0092; University of Chemistry and Technology, Prague), [Creator of DMP, Data Curator, Data Manager, Project Member]* Martin Prevratil (Prazske Vodovody a Kanalizace), [Data Collector] ______Contributors______* Zuzana Sykorova (0000-0002-5170-3318; Prazske Vodovody a Kanalizace), [Project Member, Project Manager]* Pavel Jenicek (0000-0001-8438-1231; University of Chemistry and Technology, Prague), [Project Manager, Project Leader, Supervisor]* Martin Srb (0000-0003-4412-4075; Prazske Vodovody a Kanalizace), [Project Leader, Project Member, Supervisor] --------------------------------------------------------------------DATA AVAILABILITY AND ACCESS INSTRUCTIONS--------------------------------------------------------------------* The dataset is openly accessible under the DOI listed above. --------------------------------------------------------------------LICENSE--------------------------------------------------------------------______ReadMe file license______* ReadMe by [000_KALBRO_ReadMeFile_1.docx] is licensed under CC BY 4.0* License information: https://creativecommons.org/licenses/by/4.0/ ______Dataset license______* [batch-tests_results_SS FW_02_2024_V9_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [batch-tests_results_SS FW_05_2024_V6_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [batch-tests_results_SS FW_07_2024_V6_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [batch-tests_results_SS FW_09_2024_V6_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [batch tests_results_SS FW_TvsM_03_2025_V3_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [AcoD-lab_journal_V35_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [AcoD-lab_Daily_biogas_production-daily_average_V3_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [pilot_KALBRO_24012026_V3_en.xlsx] by [Dominik Stransky] is licensed under CC BY 4.0* [FW_production_review.pdf] by [Dominik Stransky] is licensed under CC BY 4.0* [Gallery_1.csv … Gallery_83.csv] by [Dominik Stransky] is licensed under CC BY 4.0* [Microbial_marker_gene_analysis.pdf] by [Dominik Stransky] is licensed under CC BY 4.0* [KALBRO_LCA_studie.pdf] by [Ales Paulu] is licensed under CC BY 4.0* [Bioprospect_publication_cz.pdf] by [Dominik Stransky] is licensed under CC BY 4.0* License information: https://creativecommons.org/licenses/by/4.0/ --------------------------------------------------------------------DESCRIPTION AND METHODOLOGY-------------------------------------------------------------------- ______About the dataset______This dataset contains experimental data from the KALBRO project investigating anaerobic co-digestion (AcoD) of food waste (FW) and sewage sludge (SS) at batch, laboratory, and pilot scales. The experiments were conducted to assess the technological performance, biogas production potential, and environmental and economic feasibility of energy and material recovery from biodegradable waste. The dataset covers biochemical methane potential (BMP) batch tests with various co-substrates, semi-continual laboratory-scale AcoD experiments, pilot-scale operation data, sludge composition measurements (solids, pH, COD, VFA, ammonia, phosphorus), microbial community analysis, and a life cycle assessment (LCA) study. ______Ethics______No part of our research project requires approval by the ethics board under the Czech Republic legal system. None of the data are considered to be sensitive or personal. ______Sample preparation______The sample treatment is described in https://doi.org/10.1039/d5ew00456j and 008_Publications/Bioprospect_publication_cz.pdf. ______Methods of data collection______* The methodology used for 001_Batcht_tests/, 002_Lab_scale-Semi-continual, and 003_Pilot_scale/ is described in this paper: https://doi.org/10.1039/d5ew00456j, in the sections "batch experiments" and "analytical methods" and in 008_Publications/Bioprospect_publication_cz.pdf.* The biogas quality at the pilot scale was measured by a multigas probe for methane, carbon dioxide, and humidity in situ measurements (MGP261)* The LCA analysis (KALBRO_LCA_studie.pdf) in accordance with ISO 14044 is performed using the Sphera LCA for Experts software, which includes a database of data from Sphera and Ecoinvent. * PWM-SA (Plant-Wide Model – South Africa) was used for mathematical modeling, which is an extended implementation of the ADM1 model in the WEST simulation tool. ______Methods of data processing______* 001_Batcht_tests: Cumulative gas volumes were corrected to standard conditions (0 °C, 101.325 kPa). Specific methane yield (mL CH₄/g VS) was calculated as the net cumulative methane volume per gram of volatile solids of co-substrate added, after subtracting the inoculum blank contribution. * 002_Lab_scale-Semi-continual: Biogas volumes were normalized to standard conditions. Daily averages of biogas production, methane content, and key reactor parameters (OLR, HRT, specific methane production) were derived from operational records and periodical grab-sample analyses.* 003__Pilot_scale: Parameters were calculated analogously to the laboratory scale.A detailed description of the analytical and calculation methodology is provided in 008_Publications/Bioprospect_publication_cz.pdf, and the pilot plant operation including sampling and detailed methodology is described in https://doi.org/10.1039/d5ew00456j (excluding the thermal pre-treatment, which was not applied here).--------------------------------------------------------------------DATASET STRUCTURE--------------------------------------------------------------------00_Results_publish/│── 000_KALBRO_ReadMeFile_1.txt├── 001_Batcht_tests/│ ├── 01_yogurth/│ │ └── batch-tests_results_SS FW_02_2024_V9_en.xlsx│ ├── 02_PO+SD-NZ/│ │ └── batch-tests_results_SS FW_05_2024_V6_en.xlsx│ ├── 03_UO+SD-VZ/│ │ └── batch-tests_results_SS FW_07_2024_V6_en.xlsx│ ├── 04_DOG/│ │ └── batch-tests_results_SS FW_09_2024_V6_en.xlsx│ └── 05_MvsT/│ └── batch tests_results_SS FW_TvsM_03_2025_V3_en.xlsx├── 002_Lab_scale-Semi-continual/│ ├── AcoD-lab_journal_V35_en.xlsx│ └── AcoD-lab_Daily_biogas_production-daily_average_V3_en.xlsx├── 003_Pilot_scale/│ └── pilot_KALBRO_24012026_V3_en.xlsx├── 004_LCA/│ └── KALBRO_LCA_studie.pdf├── 005_Modeling/└── KALBRO_model_V1.pdf├── 006_FW_production/│ └── FW_production_review.pdf├── 007_Raw_data/│ ├── 01_Gallery txt files/│ │ ├── Gallery_1.csv│ │ ├── Gallery_2.csv│ │ ├── ...│ │ └── Gallery_83.csv│ └── Microbial_marker_gene_analysis.pdf└── 008_Publications/ └── Bioprospect_publication_cz.pdf --------------------------------------------------------------------FILENAME STRUCTURE--------------------------------------------------------------------* Batch test (BMP) files follow this pattern: * batch-tests_results_[substrate] [co-substrate]_[MM_YYYY]_[VN]_en.xlsx [substrate]=SS (sewage sludge) [co-substrate]=co-substrate used in the experiment (e.g., FW = food waste) [MM_YYYY]=month and year of the experiment In case the condition varies (e.g., mesophilic vs. thermophilic), a condition tag is added between [co-substrate] and [MM_YYYY]: batch-tests_results_[substrate] [co-substrate]_[condition]_[MM_YYYY]_[VN]_en.xlsx e.g.: batch-tests_results_SS FW_02_2024_V9_en.xlsx * Lab-scale semi-continual files follow this pattern: [type]-[scale]_[content]_[VN]_en.xlsx [type]-[scale] = AcoD-lab (anaerobic co-digestion, laboratory scale) [content]= journal, biogas-production-daily-average, etc. e.g.: AcoD-lab_Daily_biogas_production-daily_average_V3_en.xlsx * Pilot-scale files follow this pattern: pilot_[project]_[DDMMYYYY]_[VN]_en.xlsx [project] = project name (KALBRO) [DDMMYYYY] = full date of last data entry (day, month, year) e.g. pilot_KALBRO_24012026_V3_en.xlsx * Raw analytical data (Gallery photometric analyzer) follow this pattern: Gallery_[N].csv [N] = sequential export number assigned automatically following order of measurement e.g. Gallery_83.csv * Reports, reviews and analysis outputs follow free-form descriptive naming: [topic]_[content].[extension] or [project]_[type]_[description].[extension] e.g. KALBRO_LCA_studie.pdf FW_production_review.pdf Microbial_marker_gene_analysis.pdf * Publications follow this pattern: [journal-or-venue]_[content]_[language].[extension] e.g. Bioprospect_publication_cz.pdf * Documentation files follow this pattern: [NNN]_[project]_[type]_[VN].[extension] [NNN] = three-digit prefix matching the folder numbering system e.g. 000_KALBRO_ReadMeFile_1.docx --------------------------------------------------------------------FILE TYPES & FORMATS, SW TO OPEN AND DIMENSIONS & UNITS--------------------------------------------------------------------* Experimental data tables (batch tests, lab-scale AcoD, pilot scale) format: .xlsx SW: Microsoft Excel (v [VERSION], Microsoft, USA) columns: parameter names with units in column headers units used: time – days (d) biogas production – mL/d or L/d methane content – % (v/v) specific methane yield – mL CH4/g VS pH – (-) temperature – °C volatile solids (VS) – g/L total solids (TS) – g/L total suspended solids (TSS) – g/L volatile suspended solids (VSS) – g/L volatile dissolved solids (VDS) – g/L chemical oxygen demand (COD) – g/L or mg/L organic loading rate (OLR) – g VS/(L·d) or g COD/(L.d) hydraulic retention time (HRT) – d capillary suction time (CST) – s weight (m) – g or mg air – % Methane (CH4) – Volume-% Carbon dioxide (CO2) – Volume-% Water vapor (H2O) – Volume-% Specific biogas production rate (rx) – l/(g COD·d) or /(g VSS·d) Specific biogas production (SBP) – ml biogas/mg COD or ml biogas/mg VS Specific methane production (SMP) – ml methane/mg COD or ml methane/mg VS Total phosphorus (P_t) – mg/l Total nitrogen (N_t) – mg/l (FOS/TAC) – (-) Flow rate – l/d* Raw photometric analyzer data (ammonia and phosphorus) original format: .csv SW: Gallery (v 7.0.2, OY Helsingin Toimistotukku AB, Finland) encoding: UTF-16, tab-separated converted format: .xlsx columns (selected): Sample/ctrl ID – sample identifier (e.g., R1, R2, R3) Test name – analyte method (AmmoniaH, PhosH) Result – measured concentration Result unit – mg/l* LCA study, literature review, microbial analysis, publications format: .pdf SW: any PDF reader (e.g., Adobe Acrobat Reader) units: as defined within each document* Modeling results (005_Modeling) were saved in .OUT or .RES format (WEST’s proprietary format) and further exported in xlsx. Scripting and configuration files are saved as xml.* Documentation (README) format: .txt