FREMThe FfE Regionalized Energy System Model

FREMFfE Regionalized Energy System-Model

Am Blütenanger 71, 80995 München, + 49 89 158121-0, info@ffe.de, www.ffe.de Forschungsstelle für Energiewirtschaft e.V.

From Energy System Model ...The FfE Regionalized Energy System Model (FREM) has been in de-

velopment by FfE since 2008 (Figure 1). It started with the integra-

tion of building data to model heat consumption and electricity

demand. In the following years, the database grew continuously

through the constant integration of new data and its focus is cons-

tantly expanding to new applications. Interfaces to other FfE-

models like ISAaR and GridSim were implemented. Since 2016, the

data exchange between FREM and external databases gained in

importance. Increasing the provision of output data will be one

aim of FREM in the near future. In this context, the OpenEnergy

Platform (OEP) looms large. Open Data is the next big step. We are

actively supporting the OpenEnergy Platform and are creating

our own data portal, opendata.ffe.de.

... to Comprehensive DatabaseToday, FREM is a huge database of spatial and statistical data refe-

ring to the energy system (Figure 2). These data come mainly from

open data sources. Primary and derived data are stored in thema-

tic schemata like renewable energies, weather models, time series,

power plants, statistics and geographical data. The consistent

structure of the database is the key to fast modeling and scenario

calculation to address different energy issues. FREM is a Post-

greSQL/PostGIS-geodatabase. Therefore, it can be used like a

geo-information system (GIS) that puts energy data in a spatial

context. It is possible to derive data in diverse regional resolutions

with SQL-clauses and to export results in different data formats

for cartographical and statistical visualizations.

Figure 2: Contents of the Database

Figure 3: The IT-Structure of FREM

The IT-Structure of FREMThe heart of FREM-IT (Figure 3) forms the new, powerful Mercator

server, which houses the geodatabase and runs under openSuse-

Linux. Written SQL code is versioned in GitLab and sent directly or

in parallel via SQL parser to Mercator, which can thus make full use

of its 24 cores. Careful separation of operating system, geodata-

base, data and logs on different raids further shortens computing

times. A comprehensive backup strategy with partial and full

dumps at daily, weekly and monthly intervals protects against

devastating data loss in the event of damage. Analyses calculated

in the geodatabase are finally processed in desktop GIS, visualized

and graphically displayed as maps or plots.

Figure 1: Timeline of the FREM-Developement

Use CasesThe combination of the PostGIS-geodatabase with extensive ener-

gy industry data produces a flexible energy system model with

high temporal and spatial resolution. This model is used as a rich

data pool in most projects at FfE, e.g. potential for renewable ener-

gies, power grids for different voltage levels and future infrastruc-

ture for BEV (Figure 4).

Figure 4: Selected Use Cases of FREM

Basemap: © OpenStreetMap contributors Basemap: © OpenStreetMap contributors

Future Infrastructure for BEV (Individual)

101-200

201-300

301-400

401-500

> 500

Visualization as Heatmap2Charging points BEV/km

vRES Potential Electricity Production in GWh / km²

´ 0 250 500125 km

Administrative Boundaries: Europe: © OpenStreetMap contributors | Germany: © GeoBasis-DE / BKG 2017 | Generalization: FfE e.V.

XOS Countries: 30 PWh

≤ 3 ≤ 6 ≤ 9 ≤ 12 > 12

2,000

4,000

1,000

500250

vRES and Electrification Potential ElectricityProduction in TWh

Wind Offshore

Wind Onshore

Offsite Solar

Rooftop Solar

Electrification

Potential for Renewable Energies

Future Infrastructure for BEV (Car Sharing)

Tobias Schmid, Fabian Jetter, Claudia Fiedler, Michael Ebner, Timo Limmer

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 ‘

Structure Op�miza�on

1. GIS Server

EnergienutzungsplanSince 2010: Development of ENP for Communi�es and Districts

DEA-Flex-Master Plan

Communi�es and

Grid Areas

Power and District Heat

Weather Data

MOS 2030

Func�onal Power Stores

Regional View of Europa

MONA 2030

Grid Nodes and Powergrid Types

Network Development Plan

Interfaces

Data Exchange

BEV-Charging Points

Current GIS-Server

Building Model

Regional Sta�s�cs

COSMO-EU & -DE

Remote SensingRenewable Energy Models

Wind Solar

& Development of Extern

Databases

Open Data

Open Energy Pla�orm

Representa�onal State Transfer (REST)

opendata.ffe.de(in Construc�on)

2019

FfE Open Data Pla�orm:

2008

Cartographical Visualization

Example: Heating Systems in Germany (Oil, Gas, District Heat)

FREM

Extra High Voltage

High Voltage

Power Grid Europe

´0 30 6015 km

Administrative Boundaries and Grid Data: © 2018 Geofabrik GmbH and OpenStreetMap Contributors

Power Grids