DATAPACKAGE: DEMAND HOURLY PROFILE IN STEM =========================================================================== Package Version: 2019-02-27 Space heating, process heat, water heating, air conditioning and other electric appliances (e.g. refrigerators, ovens, information&communication technologies, washers and dryers,etc.) hourly profile by typical day and sector - Assumption in STEM model We follow the Data Package standard by the Frictionless Data project, a part of the Open Knowledge Foundation: http://frictionlessdata.io/ License and attribution =========================================================================== Attribution: Version history =========================================================================== * 2019-02-27 Not documented Resources =========================================================================== * [Package description page](http://data.sccer-jasm.ch/demand-hourly-profile/2019-02-27/) * [ZIP Package](http://data.sccer-jasm.ch/demand-hourly-profile/opsd-demand-hourly-profile-2019-02-27.zip) Sources =========================================================================== * [Vögelin P., Panos E., Buffat R., Becutti G., Kannan R., et al. (2016). System modelling for assessing the potential of decentralised biomass-CHP plants to stabilise the Swiss electricity network with increased fluctuating renewable generation, Final report of the Swiss Federal Office of Energy. ](www.bfe.admin.ch/php/modules/enet/streamfile.php?file=000000011337.pdf) * [R. Kannan and H. Turton (2014). Switzerland energy transition scenarios – Development and application of the Swiss TIMES Energy system Model (STEM), Final Report to Swiss Federal Office of Energy, Bern](https://www.psi.ch/eem/PublicationsTabelle/2014-STEM-PSI-Bericht-14-06.pdf) * [Lighting: Stokes M., Rylatt M. and Lomas K. (2004) A simple model of domestic lighting demand, Energy and Buildings 36 (2) pp 103-116](https://www.dora.dmu.ac.uk/handle/2086/8963) Field documentation =========================================================================== space-heating-demand-profile.csv --------------------------------------------------------------------------- * Sector - Type: string - Description: Industry, residential (New/Existing Single/Multi Family Houses), services * Hour - Type: number - Description: Hour of the typical day * WIN-WK - Type: number - Description: Demand in a typical winter working day (% of the total of the year) * INT-WK - Type: number - Description: Demand in a typical intermediate season working day (% of the total of the year) * SUM-WK - Type: number - Description: Demand in a typical summer working day (% of the total of the year) * WIN-WE - Type: number - Description: Demand in a typical winter weekend (% of the total of the year) * INT-WE - Type: number - Description: Demand in a typical intermediate season weekend (% of the total of the year) * SUM-WE - Type: number - Description: Demand in a typical summer weekend (% of the total of the year) water-heating-demand-profile.csv --------------------------------------------------------------------------- * Sector - Type: string - Description: Industry, residential (New/Existing Single/Multi Family Houses), services * Hour - Type: number - Description: Hour of the typical day * WIN-WK - Type: number - Description: Demand in a typical winter working day (% of the total of the year) * INT-WK - Type: number - Description: Demand in a typical intermediate season working day (% of the total of the year) * SUM-WK - Type: number - Description: Demand in a typical summer working day (% of the total of the year) * WIN-WE - Type: number - Description: Demand in a typical winter weekend (% of the total of the year) * INT-WE - Type: number - Description: Demand in a typical intermediate season weekend (% of the total of the year) * SUM-WE - Type: number - Description: Demand in a typical summer weekend (% of the total of the year) process-heat-demand-profile.csv --------------------------------------------------------------------------- * Sector - Type: string - Description: Industry * Hour - Type: number - Description: Hour of the typical day * WIN-WK - Type: number - Description: Demand in a typical winter working day (% of the total of the year) * INT-WK - Type: number - Description: Demand in a typical intermediate season working day (% of the total of the year) * SUM-WK - Type: number - Description: Demand in a typical summer working day (% of the total of the year) * WIN-WE - Type: number - Description: Demand in a typical winter weekend (% of the total of the year) * INT-WE - Type: number - Description: Demand in a typical intermediate season weekend (% of the total of the year) * SUM-WE - Type: number - Description: Demand in a typical summer weekend (% of the total of the year) air-conditioning-demand-profile.csv --------------------------------------------------------------------------- * Sector - Type: string - Description: Industry and services, residential * Hour - Type: number - Description: Hour of the typical day * WIN-WK - Type: number - Description: Demand in a typical winter working day (% of the total of the year) * INT-WK - Type: number - Description: Demand in a typical intermediate season working day (% of the total of the year) * SUM-WK - Type: number - Description: Demand in a typical summer working day (% of the total of the year) * WIN-WE - Type: number - Description: Demand in a typical winter weekend (% of the total of the year) * INT-WE - Type: number - Description: Demand in a typical intermediate season weekend (% of the total of the year) * SUM-WE - Type: number - Description: Demand in a typical summer weekend (% of the total of the year) other-electric-appliances-demand-profile.csv --------------------------------------------------------------------------- * Sector - Type: string - Description: Residential * Hour - Type: number - Description: Hour of the typical day * WIN-WK - Type: number - Description: Demand in a typical winter working day (% of the total of the year) * INT-WK - Type: number - Description: Demand in a typical intermediate season working day (% of the total of the year) * SUM-WK - Type: number - Description: Demand in a typical summer working day (% of the total of the year) * WIN-WE - Type: number - Description: Demand in a typical winter weekend (% of the total of the year) * INT-WE - Type: number - Description: Demand in a typical intermediate season weekend (% of the total of the year) * SUM-WE - Type: number - Description: Demand in a typical summer weekend (% of the total of the year) lighting-demand-profile.csv --------------------------------------------------------------------------- * Hour - Type: number - Description: Hour of the day (% of the total of the year) * Winter (Jan) - Type: number - Description: Profile during the months in winter (% of the total of the year) * Summer (July) - Type: number - Description: Profile during the months in summer (% of the total of the year) * Spring (April) - Type: number - Description: Profile during the months in spring (% of the total of the year) * Autumn (Oct) - Type: number - Description: Profile during the months in autumn (% of the total of the year) Feedback =========================================================================== Thank you for using data provided by SCCER JA S&M. If you have any question or feedback, please do not hesitate to contact us. For this data package, contact: For general issues, find our team contact details on our website: http://www.sccer-jasm.ch