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"fi": "Datasetti sisältää Jätekukko Oy:n Kuopion jätekeskuksen aurinkovoimalan tunneittaisen sähköntuotannon vuosille 2021 ja 2022. Datasetti julkaistaan Jätekukon suostumuksella. Jätekeskuksen sähkönkulutustietoja ei haluttu jakaa julkisesti. \n\nJätekeskuksen sähkön tuotantoa ja kulutusta analysoitiin Savonia-ammattikorkeakoulun Green Data Future Solutions hankkeessa. Analyysin tuloksena tehtiin muutamia infograafeja, raportteja sekä oma reaaliaikanen näkymä jätekeskuksen kulutuksen ja tuoton seurantaan. Joitain tuotoksia löytyy hankkeen kotisivuilta.\n\nJätekeskuksen aurinkovoimajärjestelmä koostuu pienemmästä toimiston katolla olevasta vajaan 10 kWp voimalasta sekä jätekeskuksen alueella olevasta laajemmasta noin 100 kWp voimalasta. Laajempi voimala asennettiin vuonna 2019. Aurinkovoimalan tuotannosta noin 2/3 on mennyt omaan käyttöön ja 1/3 myyntiin sähkönverkkoon. Järjestelmä ei sisällä sähkön varastointia. \n\nData on ladattu GEF Vision järjestelmästä alkuvuonna 2023. Myös säätiedot ovat samasta järjestelmästä. **Huom!** GEF Vision alustaan aurinkovoimala liitettiin vuoden 2021 maaliskuussa, joten sitä ennen tuotantotiedot puuttuvat. \n\n**Huom! Datasta ei ole siistitty poikkeamia.** 17.-22.3.2021 oli data kertynyt epäsäännöllisesti. Toinen selkeästi poikkeava ajankohta on ollut 27.5.-8.6.2021, jolloin energiadataa on kertynyt liikaa yhteen mittauspisteeseen. Muutamia muitakin poikkeamia on vuoden 2021 alkupuoliskon arvoissa, mutta sen jälkeen toiminta on ollut tasaisempaa. Jätämme poikkeamien käsittelyn datasetin mahdollisille hyödyntäjille.\n\n## Perustiedot \nDatasetin nimi: Solar_energy_2021-2022.csv \nAurinkovoimalan osoite: Kaatopaikantie 316, 70800 Kuopio \nAurinkovoimalan koordinaatit: 62.8303764847344, 27.520751953125 \nPaneeleja: 360 \nJärjestelmän teho: 108,72 kWp \nPinta-ala: 588 m2 \nInvertterejä: 6 kpl \nDatan muoto: CSV \nRivejä: 17 520 \nSarakkeita: 21 \nAlkupäivämäärä: 1.1.2021 \nLoppupäivämäärä: 31.12.2022 \n\n## Sarakkeet ensimmäisine arvoineen\n\n$ Timestamp_EET <dttm> 2021-01-01 00:00:00, 2021-01-01 01:00… \n$ Timestamp_ISO_UTC <chr> \"2020-12-31T22:00:00+0000\", \"2020-12-3… \n$ Day <date> 2021-01-01, 2021-01-01, 2021-01-01, 2… \n$ Hour_EET <int> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, … \n$ Hour_UTC <int> 22, 23, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, … \n$ Year <dbl> 2021, 2021, 2021, 2021, 2021, 2021, 20… \n$ Month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,… \n$ Week <dbl> 53, 53, 53, 53, 53, 53, 53, 53, 53, 53… \n$ Production_kWh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,… \n$ Inverter_1_kWh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,… \n$ Inverter_2_kWh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,… \n$ Inverter_3_kWh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,… \n$ Inverter_4_kWh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,… \n$ Inverter_5_kWh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,… \n$ Inverter_6_kWh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,… \n$ Temperature_C <dbl> -1, -1, -1, -1, -1, -1, -1, -2, -2, -1… \n$ Pressure_hPa <dbl> 1008, 1007, 1007, 1007, 1007, 1007, 10… \n$ Humidity <dbl> 100, 100, 100, 92, 92, 92, 92, 100, 10… \n$ Cloud_cover <dbl> 90, 90, 90, 90, 90, 90, 90, 90, 90, 90… \n$ Wind_speed_ms <dbl> 2.6, 2.1, 2.1, 1.5, 1.5, 1.0, 1.0, 1.5… \n$ Wind_direction_degree <dbl> 80, 70, 70, 80, 80, 110, 110, 150, 150…"
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"en": "This dataset contains Kuopio city bike-sharing system (BSS) aka [Vilkku-fillarit](https://kaupunkipyorat.kuopio.fi/) trips for years 2019-2022. Kuopio is a city of about 122 000 residents (2023) located in Eastern Finland. Kuopio's BSS is the first electric BSS in Finland starting in May 2019. Kuopio BSS is a 4th generation hybrid BSS delivered by Czech FREEBIKE s.r.o. company. Hybrid BSS means that it's mainly (virtual) station based, but it's possible to leave bikes outside stations in a limited area. Electric bikes are pedal assisted type and can be used without assist. User needs to register and buy a pass before using bike. There are various time-limited passes and it's also possible to pay per-minute. \n\nVilkku-fillari BSS has been [quite successful](https://yle.fi/a/3-12100139) right from the beginning. Total operational bike count has been raised from 150 to 350 by the year 2022 (there are 20 bikes in reserve all the time) and active station count has raised from 20 to 41. \n\nThis dataset is not the original received from Kuopio city employees, but an edited version. All the rental rows are included from the original data, but some less important columns are excluded and some new columns are created. This edited dataset has e.g. additional columns for easier exploration and categorization of data. User identification columns are excluded to anonymize the data. Using this dataset may require additional cleaning and filtering. At least \"Service rental\" rows should almost always be excluded from analysis. Description of all data columns with sample values can be found in *Vilkku-fillari_eBike_Rentals_2019-2022_Edited_Metadata_Eng.xlsx* file.\n\nThere is also *Vilkku-fillari_eBike_Stations_2019-2022.csv* dataset that contains basic information for all the normal stations for years 2019-2022. There have been 42 normal stations in operation during that time. One of those 42 stations is replaced by another (MICROTEKNIA->SAVILAHTI) for season 2022 and one (KUOPIOROCK) is operational for only couple of days during summer. Besides normal stations there have been couple of \"testing stations\" in the dataset.\n\nThese datasets were created in Savonia UAS's [Green Data Future Solutions](https://greendata.savonia.fi/) project where we made analysis and visualization of this data for Kuopio city employees and residents. One of the shared results is [Fillaridata](https://fillaridata.savonia.fi/) site. These datasets are released with the permission of Kuopio city and are free to use under Creative Commons license.\n\n## Basic information\nCity: Kuopio, Finland \nYears: 2019, 2020, 2021, 2022 \nData format: CSV (UTF-8) \nTotal rows in data: 1 180 494 \nColumns in edited dataset: 39 \nLanguage: Column names and descriptions in English (some data in Finnish) \nFiles: \n* Vilkku-fillari_eBike_Rentals_2019-2022_Edited_FULL_anonymous.csv\n* Vilkku-fillari_eBike_Stations_2019-2022.csv\n* Vilkku-fillari_eBike_Rentals_2019-2022_Edited_Metadata_Eng.xlsx"
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"en": "This dataset contains detailed data describing the variety of structures used in the Finnish building stock.\nThe main data contains structural layer properties like type, thickness, and material by source and structure.\nThis dataset is primarily based on the [RT-card database](https://kortistot.rakennustieto.fi/kortistot/rt-kortisto)\nowned by [Rakennustieto Oy](https://www.rakennustieto.fi/), and as such, cannot be shared freely.\nSee the end of the README for a detailed description of the dataset.\n\n\n## Contents\n\nHere's a quick overview of the important contents of this dataset,\nand a brief description of each file.\nFor a detailed description of this dataset, see the end of the README.\n\n1. `datapackage.json`, the [Data Package](https://specs.frictionlessdata.io/data-package/) definition.\n2. `data/fenestration.csv`, empty file currently required by [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox) [Data Package](https://specs.frictionlessdata.io/data-package/) import.\n3. `data/materials.csv`, lists all the different materials and their properties that are relevant for the structures.\n4. `data/sources.csv`, lists the different `sources` for the structural data used in this dataset.\n5. `data/structure_descriptions.csv`, lists each `structure` by `source`, and their overall properties and descriptions.\n6. `data/structural_layers.csv`, contains the detailed structural data down to individual layers.\n7. `data/types.csv`, empty file required by import, see `data/fenestration.csv`.\n8. `data/ventilation.csv`, empty file required by import, see `data/fenestration.csv`.\n9. `data/ventilation_spaces.csv`, empty file required by import, see `data/fenestration.csv`.\n\n\n## Usage\n\nThe dataset is formatted as a [Data Package](https://specs.frictionlessdata.io/data-package/),\nhopefully facilitating interoperability and reuse.\nHowever, this dataset was originally designed to be used via [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox),\nand as an add-on for the [`finnish_default_structural_data`](https://vttgit.vtt.fi/flexib/finnish_default_structural_data) dataset.\n\n1. Add a *Data Connection* item, and refer it to the `datapackage.json` file.\n2. Use the *Add specification from a file* option from the toolbar, and select the `import_finnish_structural_data.json` file from the [`finnish_default_structural_data`](https://vttgit.vtt.fi/flexib/finnish_default_structural_data) dataset, in order to add the necessary *Importer* definition.\n3. Add an *Importer* item, connect the above *Data Connection* to it, and select the above importer specification for it.\n4. Connect the *Importer* to the desired *Spine Datastore* where you want the data to be imported to. Should be imported into the same *Datastore* as [`finnish_default_structural_data`](https://vttgit.vtt.fi/flexib/finnish_default_structural_data) data.\n\n\n## License\n\nAll rights reserved, see `LICENSE` for more information.\n\n\n## Acknowledgements\n\nThis dataset was built for the [Academy of Finland](https://www.aka.fi/en) project\n[*\"Integration of building flexibility into future energy systems (FlexiB)\"*](https://akareport.aka.fi/ibi_apps/WFServlet?IBIF_ex=x_hakkuvaus2&CLICKED_ON=&HAKNRO1=332421&UILANG=en&TULOSTE=HTML)\nunder grant agreement No 332421.\n\n[CSC – IT Center for Science, Finland](https://csc.fi/en/home) provides the [Fairdata.fi](https://www.fairdata.fi/en/) service for easy research metadata publication.\n\n\n# Dataset description\n\nThis section hopes to describe the raw data in enough detail to give you a better idea\nof what is and isn't included in the dataset.\nSince the raw data is primarily based on the (RT-card database)[https://kortistot.rakennustieto.fi/kortistot/rt-kortisto] owned by Rakennustieto Oy,\nit is likely that only the descriptive metadata of this dataset can ever be published.\nOverall, this dataset contains information from 41 RT-cards since 1943 until 2020.\n\nAll structural measurements in `data/structural_layers.csv` use the minimum thickness written in the guidelines,\nand as sparse spacing as possible for load-bearing framed structures.\nThis is done under the assumption that most construction tries to save as much material costs as possible.\nThis may result in underestimating the thermal mass of the structures,\nand even unrealistic load-bearing structures for larger buildings.\nHowever, without specific use cases, it's impossible to size the structures properly,\nand so the minimum given measurements are used instead as a compromise.\n\nIn general, structure descriptions from the 40s-60s are significantly less detailed than later ones,\nand a lot of parameters had to be estimated based on similar examples or other RT-cards at the time.\nThe design U-values presented in `data/structure_descriptions.csv` are accurate from around the 70s onwards.\nBefore that, no accurate design values have been presented consistently in the RT-cards,\nand a large share of the values were estimated using the guides at the time.\n\nCurrently, the weights of each structure for each building type in `data/structure_descriptions.csv` is based solely on guessimation.\nIt might be possible to refine these values based on data from e.g. Statistics Finland, but I've yet to try and do so.\n\n\n## `data/fenestration.csv` *(Dummy file)*\n\nThis is a dummy file with no data, in order to use the same [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox)\n[Data Package](https://specs.frictionlessdata.io/data-package/) importer specification as the\n[`finnish_default_structural_data`](https://vttgit.vtt.fi/flexib/finnish_default_structural_data) dataset.\n\n\n## `data/materials.csv`\n\nThis file defines the different `structure_materials`, links them to the appropriate `frame_material`,\nas well as contains their necessary thermal properties.\nMinimum and maximum values found in the literature are reported for density (kg/m3), specific heat (J/kgK), and thermal conductivity (W/mK).\nPrimary source [Rakennusmateriaalisen rakennusfysikaaliset ominaisuudet](https://trepo.tuni.fi/handle/123456789/23014) by Katariina Laine 2010,\nauxiliary source Finnish Building Code C4 2012 draft.\nMissing values from [EngineeringToolbox](https://www.engineeringtoolbox.com/), or simply guesstimated.\n\n\n## `data/sources.csv`\n\nThis file defines the different `sources` of data,\nand contains the `source_year` and `source_description` parameters for each `source`.\nEssentially, each `source` corresponds to an RT-card,\ncontaining recommended structures at the time the RT-card was published (`source_year`).\nThe `source_description` parameter contains a brief description of the contents of each `source`.\n\n\n## `data/structure_descriptions.csv`\n\nThis file defines each `structure` by `source`,\nas well as a pivot table for guesstimated `weights` of each `structure` by `building_type`.\nFurthermore, the `design_U_value_W/m2K` and a brief `description` of each `structure` is included,\nas are `structure_notes` about the assumption regarding the assumed `weights`.\n\n\n## `data/structural_layers.csv`\n\nThis file defines each the properties of individual structural layers, represented using a `layer_id`.\nEach `layer_id` is attributed to a specific structure indicated by the `(source, structure)` pair,\nand each structure is assigned a `structure_type` from\n`[roof, exterior_wall, base_floor, separating_floor, partition_wall]`\n*(this really should be a property in `structure_descritions.csv`, but is currently defined here, unfortunately)*.\nFurthermore, each `layer_id` is attributed to a `structure_material`,\nwhich determines the material properties for that layer.\nThe rest of the columns are layer-specific parameters, described below:\n\n- `layer_weight`: Describes the approximated share of the total volume in the case of overlapping `layers`, e.g. different types of furring with space in between the material.\n- `layer_number`: Determines the order of the `layers` in the `structure`, explained in detail further down.\n- `layer_minimum_thickness_mm`: Determines the minimum possible thickness of the `layer` in millimetres.\n- `layer_load_bearing_thickness_mm`: Determines the minimum thickness of the `layer` in millimetres, when the `structure` is load-bearing.\n- `layer_tag`: Describes the primary purpose of the `layer`.\n- `notes`: Contains additional information about possible assumptions, dimensioning, furring, etc.\n\nAll the structures have their layers enumerated using the `layer_number` to indicate their order in the structure.\nFor envelope structures, the ordering of the layers is relative to the thermal insulation layer, with the thermal insulation layer being the zeroth layer.\nStructural layers towards the exterior of increase into positive numbers, and structural layers towards the interior decrease into negative numbers.\nFor separating floors and partition walls, the ordering of the layers is relative to the load-bearing layer.\nNumbering of structural layers of separating floors and partition walls is based on their order in the RT card, with the topmost structure being the positive extreme.\n\n\n## `data/types.csv` *(Dummy file)*\n\nThis is a dummy file with no data, in order to use the same [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox)\n[Data Package](https://specs.frictionlessdata.io/data-package/) importer specification as the\n[`finnish_default_structural_data`](https://vttgit.vtt.fi/flexib/finnish_default_structural_data) dataset.\n\n\n## `data/ventilation_spaces.csv` *(Dummy file)*\n\nThis is a dummy file with no data, in order to use the same [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox)\n[Data Package](https://specs.frictionlessdata.io/data-package/) importer specification as the\n[`finnish_default_structural_data`](https://vttgit.vtt.fi/flexib/finnish_default_structural_data) dataset.\n\n\n## `data/ventilation.csv` *(Dummy file)*\n\nThis is a dummy file with no data, in order to use the same [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox)\n[Data Package](https://specs.frictionlessdata.io/data-package/) importer specification as the\n[`finnish_default_structural_data`](https://vttgit.vtt.fi/flexib/finnish_default_structural_data) dataset."
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"en": "This dataset contains default data describing the variety of structures used in the Finnish building stock, as well as ventilation properties.\nThe main data contains structural layer properties like type, thickness, and material by `source` and `structure`.\nThe data in this dataset is based on a variety of public sources, and a lot of subjective guesstimation.\n\nThe main source is the [appendix of the Finnish energy certificate guide](https://www.ymparisto.fi/download/noname/%7BA6558C5F-9B2E-40E5-B261-605118163F03%7D/141252),\nbut others are included as well.\n\n\n## Contents\n\nHere's a quick overview of the important contents of this dataset,\nand a brief description of each file.\nFor a detailed description of this dataset, see the end of the README.\n\n1. `datapackage.json`, the [Data Package](https://specs.frictionlessdata.io/data-package/) definition.\n2. `import_finnish_structural_data.json`, the [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox) importer specification.\n3. `data/fenestration.csv`, contains properties of fenestration for different building types and age categories.\n4. `data/materials.csv`, lists all the different materials and their properties that are relevant for the structures.\n5. `data/sources.csv`, lists the different `sources` for the structural data used in this dataset.\n6. `data/structure_descriptions.csv`, lists each `structure` by `source`, and their overall properties and descriptions.\n7. `data/structural_layers.csv`, contains the detailed structural data down to individual layers.\n8. `data/types.csv`, contains surface resistances for different types of structures.\n9. `data/ventilation.csv`, contains ventilation properties for different building types and age categories.\n10. `data/ventilation_spaces.csv`, contains thermal resistances for ventilation spaces according to Finnish building code C4 2003.\n\n\n## Usage\n\nThe dataset is formatted as a [Data Package](https://specs.frictionlessdata.io/data-package/),\nhopefully facilitating interoperability and reuse.\nHowever, this dataset was originally designed to be used via [Spine Toolbox](https://github.com/Spine-project/Spine-Toolbox),\nwith the following steps in mind:\n\n1. Add a *Data Connection* item, and refer it to the `datapackage.json` file.\n2. Use the *Add specification from a file* option from the toolbar, and select the `import_finnish_structural_data.json` file to add the necessary *Importer* definition.\n3. Add an *Importer* item, connect the above *Data Connection* to it, and select the above importer specification for it.\n4. Connect the *Importer* to the desired *Spine Datastore* where you want the data to be imported to.\n\n\n## License\n\nCopyright © 2020 Topi Rasku <topi.rasku@vtt.fi> and [VTT Technological Research Centre of Finland Ltd.](https://www.vttresearch.com/en)\nThis dataset is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).\nSee `LICENSE` for more information.\n\n\n## Acknowledgements\n\nThis dataset was built for the Academy of Finland project \"Integration of building flexibility into future energy systems (FlexiB) under grant agreement No 332421.\n\nCSC – IT Center for Science, Finland provides the Fairdata.fi service for easy research metadata publication.\n\n\n# Dataset description\n\nThis section hopes to describe the raw data in enough detail to give you a better idea\nof what is and isn't included in the dataset.\nThe format of the raw data can be a bit confusing at times,\nas it was originally designed for the [`finnish_RT_structural_data`](https://vttgit.vtt.fi/flexib/finnish_RT_structural_data) dataset,\nand doesn't necessarily fit the non-structural data so well.\n\nCurrently, the weights of each structure for each building type in `data/structure_descriptions.csv` is based solely on guessimation.\nIt might be possible to refine these values based on data from e.g. Statistics Finland, but I've yet to try and do so.\n\n\n## `data/fenestration.csv`\n\nThis file contains the following fenestration properties: `U_value_W_m2K`, `solar_energy_transmittance`, `frame_area_fraction`, and `notes`\nfor each `source` and `building_type`.\nThe `source` basically represents the time period the windows in question were in use after.\n\nSources for the raw data include:\n- The [appendix of the Finnish energy certificate guide](https://www.ymparisto.fi/download/noname/%7BA6558C5F-9B2E-40E5-B261-605118163F03%7D/141252)\n- [Puuikkunan historia](https://urn.fi/URN:NBN:fi:amk-2012120217741) by Pauliina Kamarainen.\n- [Vanhan puuikkunan energiakunnostus](https://urn.fi/URN:ISBN:978-952-5863-80-2) by Janne Jokelainen.\n- [Ikkunoiden energiatalous](https://urn.fi/URN:NBN:fi:amk-201703283772) by Ilpo Kaikkonen.\n\n\n## `data/materials.csv`\n\nThis file defines the different `structure_materials`, links them to the appropriate `frame_material`,\nas well as contains their necessary thermal properties.\nMinimum and maximum values found in the literature are reported for density (kg/m3), specific heat (J/kgK), and thermal conductivity (W/mK).\n\nSources include:\n- Primary source [`Rakennusmateriaalisen rakennusfysikaaliset ominaisuudet`](https://urn.fi/URN:NBN:fi:tty-201505131277) by Katariina Laine 2010.\n- [Finnish Building Code C4 2003](http://www.finlex.fi/data/normit/1931-C4s.pdf).\n- Missing values from [EngineeringToolbox](https://www.engineeringtoolbox.com/), or simply guesstimated.\n\n\n## `data/sources.csv`\n\nThis file defines the different `sources` of data,\nand contains the `source_year` and `source_description` parameters for each `source`.\nEssentially, each `source` corresponds to a different time period (`source_year`),\nafter which the structures, fenestration, or ventilation solutions can be assumed to have been in use.\nThe `source_description` parameter contains a brief description of the contents of each `source`.\n\n\n### `data/structure_descriptions.csv`\n\nThis file defines each `structure` by `source`,\nas well as a pivot table for guesstimated `weights` of each `structure` by `building_type`.\nFurthermore, the `design_U_value_W/m2K` and a brief `description` of each `structure` is included,\nas are `structure_notes` about the assumption regarding the assumed `weights`.\n\nSources include:\n- The [appendix of the Finnish energy certificate guide](https://www.ymparisto.fi/download/noname/%7BA6558C5F-9B2E-40E5-B261-605118163F03%7D/141252)\n\n\n## `data/structural_layers.csv`\n\nThis file defines each the properties of individual structural layers, represented using a `layer_id`.\nEach `layer_id` is attributed to a specific structure indicated by the `(source, structure)` pair,\nand each structure is assigned a `structure_type` from\n`[roof, exterior_wall, base_floor, separating_floor, partition_wall]`\n*(this really should be a property in `structure_descritions.csv`, but is currently defined here, unfortunately)*.\nFurthermore, each `layer_id` is attributed to a `structure_material`,\nwhich determines the material properties for that layer.\nThe rest of the columns are layer-specific parameters, described below:\n\n- `layer_weight`: Describes the approximated share of the total volume in the case of overlapping `layers`, e.g. different types of furring with space in between the material.\n- `layer_number`: Determines the order of the `layers` in the `structure`, explained in detail further down.\n- `layer_minimum_thickness_mm`: Determines the minimum possible thickness of the `layer` in millimetres.\n- `layer_load_bearing_thickness_mm`: Determines the minimum thickness of the `layer` in millimetres, when the `structure` is load-bearing.\n- `layer_tag`: Describes the primary purpose of the `layer`.\n- `notes`: Contains additional information about possible assumptions, dimensioning, furring, etc.\n\nAll the structures have their layers enumerated using the `layer_number` to indicate their order in the structure.\nFor envelope structures, the ordering of the layers is relative to the thermal insulation layer, with the thermal insulation layer being the zeroth layer.\nStructural layers towards the exterior of increase into positive numbers, and structural layers towards the interior decrease into negative numbers.\nFor separating floors and partition walls, the ordering of the layers is relative to the load-bearing layer.\nNumbering of structural layers of separating floors and partition walls is based on their order in the RT card, with the topmost structure being the positive extreme.\n\nSources include (but not limited to):\n- Primary source: the [appendix of the Finnish energy certificate guide](https://www.ymparisto.fi/download/noname/%7BA6558C5F-9B2E-40E5-B261-605118163F03%7D/141252)\n- [Asuinkerrostalojen välipohjarakenteet 1890-1960 ja niiden korjaaminen](http://urn.fi/URN:NBN:fi:aalto-201705114678) by Suvi Takko.\n- [1900-luvun kerrostalojen yleisimmät rakenteet ja niissä ilmeneviä ongelmia](https://urn.fi/URN:NBN:fi:amk-201505209183) by Tomi Paajanen.\n- [Korjausrakentamisen suunnitteluratkaisuja 1800 – 1950-luvuilla rakennettuihin rakennuksiin Suomessa. Suunnittelijan ohje.](https://urn.fi/URN:NBN:fi:amk-201704215078) by Tiina Säily.\n- [Puurunkoisen pientalon energiatehokkuuden kehitys](https://urn.fi/URN:NBN:fi:amk-2010111014307) by Janne Taskinen.\n\n\n## `data/types.csv`\n\nThis file contains the following parameters: `interior_resistance_m2K_W`, `interior_resistance_m2K_W`,\n`linear_thermal_bridge_W_mK`, `is_internal`, `ventilation_space_heat_flow_direction`, and `structure_type_notes`,\nfor each `structure_type`: `base_floor`, `exterior_wall`, `partition_wall`, `roof`, `separating_floor`.\nThe values are based on the Finnish building code `Suomen rakentamismääräyskokoelma C4: Lämmöneristys, ohjeet 2003`, but the 2013 draft has the exact same values.\nThe linear thermal bridges are based on `Energiatehokkuus - Rakennuksen energiankulutuksen ja lämmitystehotarpeen laskenta (2018)`, which is also a part of the Finnish building code.\n\n\n## `data/ventilation.csv`\n\nThis file contains the minimum and maximum ventilation rate (1/h), n50 infiltration rate (1/h),\ninfiltration factor influenced by the height of the building, as well as the heat recovery unit (HRU) efficiency,\nfor each `source` and `building_type`.\nA `notes` column is also included for notes about data sources and data quality.\n\nSources include:\n- [Asuinrakennusten ilmanpitävyys, sisäilmasto ja energiatalous](https://urn.fi/URN:NBN:fi:tty-2011122914971) and [Puurunkoisten pientalojen kosteus- ja lämpötilaolosuhteet, ilmanvaihto ja ilmatiiviys](https://urn.fi/URN:NBN:fi:tty-2011041510587), both reports by Juha Vinha et al. at Tampere University of Technology.\n- [Ilmatiiveys ja vuotokohdat pientaloissa](http://urn.fi/URN:NBN:fi:aalto-201505132633) by Heikki Jussila.\n- [Energiatehokkuus - Rakennuksen energiankulutuksen ja lämmitystehotarpeen laskenta](https://ym.fi/documents/1410903/38439968/Ohje---Rakennuksen-energiankulutuksen-ja-lammitystehontarpeen-laskenta-20-12-2017-4332AA81_75E1_4CA0_B208_B0ACB60A267F-133692.pdf/277c79e7-2a12-5052-ba33-cb2e2c8709ab/Ohje---Rakennuksen-energiankulutuksen-ja-lammitystehontarpeen-laskenta-20-12-2017-4332AA81_75E1_4CA0_B208_B0ACB60A267F-133692.pdf?t=1603260201597) by Ympäristöministeriö.\n- [Puurunkoisen pientalon energiatehokkuuden kehitys](https://urn.fi/URN:NBN:fi:amk-2010111014307) by Janne Taskinen.\n- [Rakennusten sisäilmasto ja ilmanvaihto D2 (2012)](https://ymparisto.fi/download/noname/%7B5EB5B5EC-4DF9-44B9-A315-94D1E6B84AFE%7D/134437) by Ympäristöministeriö.\n\n\n## `data/ventilation_spaces.csv`\n\nThis file contains the thermal resistance of ventilation spaces depending on thickness and heat flow direction according to the Finnish building code C4 2003."
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