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plan4res - public dataset for case study 1 part MIM-1: time series used for multi-modal investment pathway modelling

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NIAID Data Ecosystem2026-03-11 收录
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https://zenodo.org/record/3885480
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资源简介:
Public data set which is used within the plan4res project for performing case study 1 "Multi-modal European energy concept for achiving COP21"  - Multi-modal Investment modelling (MIM) Part 1: Time series for the reference year 2015 The related documentation is included in plan4res' deliverable D4.5 chapter 3.2 (see 10.5281/zenodo.3785010)  The data set includes the following data: a) characteristic annual load profiles for large industrial heat demand for chemical, iron & steel, food & beverage and pulp & paper industries for the reference year 2015 HOTMAPS__TD_OUT_D_CHEM__20200608T160653__20200422T120000Z__v01.csv               HOTMAPS__TD_OUT_D_FOOD__20200608T160724__20200422T120000Z__v01.csv               HOTMAPS__TD_OUT_D_IRON__20200608T160705__20200422T120000Z__v01.csv             HOTMAPS__TD_OUT_D_PAPER__20200608T160715__20200422T120000Z__v01.csv   b) characteristic demand profiles for road-side car passenger transport and availability of cars for charging while (home) parking for the reference year 2015        SIEMENS__TD_OUT_D_RoadCar__20200608T160627__20200401T120000Z__v01.csv   SIEMENS__TD_CAP_CarPark__20200608T160637__20200401T120000Z__v01.csv   c) load profiles for exogeneous demand of electricity for the reference year 2015. The exogenous demand includes all electricity consumptions not explicitly modeled within MIM modeling. HRE4__TD_OUT_ElectricityExo__20200608T160732__20200401T120000Z__v01.csv          c) regionally resolved demand profiles for (individual) space heating and space cooling for the reference year 2015 HRE4__TRD_CAP_Cool_2015__20200608T160051__20200401T120000Z__v01.csv              HRE4__TRD_CAP_HeatInd_2015__20200608T155849__20200401T120000Z__v01.csv d) regionally resolved generation profiles of electricity from photovoltaic, wind onshore, wind offshore, hydro run-of-river, and for heat generation from solar thermal for the reference year 2015 NINJA__TRD_CAP_PV_2015__20200608T160440__20191104T120000Z__v01.csv               NINJA__TRD_CAP_WindOFF_2015__20200608T155422__20191104T120000Z__v01.csv          NINJA__TRD_CAP_WindON_2015__20200608T155251__20191104T120000Z__v01.csv   HRE4__TRD_CAP_HydroRoR_2015__20200608T155550__20200401T120000Z__v01.csv          HRE4__TRD_CAP_SolarThermal_2015__20200608T155718__20200401T120000Z__v01.csv   e) regionally resolved generation profile of electricity from wind offshore transformed in a way to represent potential capacity factors in future as stated by doi:10.2760/041705. Data based on reference year 2015 SIEMENS__TRD_CAP_WindOFF_2040__20200608T155127__20200401T120000Z__v01.csv   x) A list of geographical description of the zone hierarchy data used in MIM for the EU33 region set.: SIEMENS__ZoneHierarchy_MIM_EU33__20181231T120000Z___20200131T1200000Z__v001.csv  Further info: Time series are based on historical data for the reference year 2015.  Values are normalized over one reference year in a way that either the maximum = 1 (CAP) or the integral = 1 (OUT). All values are listed in arbitrary units.  All country names are according to ISO 3166-1 alpha-2.
创建时间:
2020-06-09
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