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https://doi.org/10.5281/zenodo...
Dataset . 2020
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plan4res - public dataset for case study 1 part MIM-1: time series used for multi-modal investment pathway modelling

Authors: Most, Dieter;

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

Abstract

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.

Keywords

energy system modelling, public data set, multi-modal, time series, plan4res

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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