Transition of energy and transport



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Transkript:

Innovation Centre for Mobility and Societal Change Transition of energy and transport Christian Balint Berlin, 17 April 2015

Transformation of the Distribution Grid and a rising shift to decentralized energy production at low voltage networks EnWG (1935) EnEG (1976) StrEG (1991) EEG (2000) EnEV (2002) 1970 2000 KWKG (2002) heute Großkraftwerke z.b. Kohle- und Atomkraftwerke, Offshore-Windparks Mittlere Kraftwerke z.b. Gas-, Kohle- und Wasserkraftwerke, Windparks Kleinere Kraftwerke z.b. Blockheizkraftwerke, Biomasseund Wasserkraftanlagen, Windenergieanlagen, Solarparks Kleine Solar- und Windanlagen = = Maximum Voltage Grid 220 or 380 Kilovolt (kv) = = = = = = = = High Voltage Grid 60 or 110 kv = = = Medium Voltage Grid 3 30 kv = = = Low Voltage Grid 230 or 400 Volt = Orts-, Areal- und Stadtnetze Industrielle Großabnehmer Industrielle u. gewerbliche Abnehmer Industrielle u. gewerbliche Abnehmer traditional flow of loads = Weather-dependent flow of loads Electrical Substations Micro Smart Grid 2

Overview of the Micro Smart Grid at EUREF-Campus 3 Photovoltaics (roofmounted) 65,4 kw p 6x Windturbines (VK 58) 6 kw CHP 22 kw el / 50 kw therm Li-Ion Energy Storage 43 kw / 26 kwh Pb Energy Storage 18 kw / 150 kwh SuperCap 15 kw / 3 kwh 43 kw / 26 kwh 18 kw / 150 kwh 3

Tansfer of the results into the public space Development plan of the Schöneberger Linse 4

Future Station Berlin Südkreuz Zukunftsbahnhof Berlin Südkreuz First results 2014 and 2015 Mobilitätsdrehscheibe Bahnhof Long distance couch stop (01/2014) Mobility monitor (09/2014) Electronic carriage position displays (10/2014) CO 2 -free mobility E-Mobility parking space for Car- und Bikesharing (09/2014) Implementation of e-flinkster (12/2014) Alternative generation of energy two vertical wind turbines (04/2014) Solar Mover (09/2014) Solar Carport (11/2014) 5

Impressions 6

inno2grid opening up new markets results of researches get commerzialized 7

Innovation Centre for Mobility and Societal Change Digital products Tracking Dashboard Disposal Simulation Christian Balint Berlin, 17 April 2015

View of the operator: Understanding mobility behavio InnoZ-Tracks automatically gathers multimodal traffic behavior

InnoZ-Tracks replaces the need to fill out a diary and provides deeper knowledge Route dairies Smartphone-Tracking Forgetting of routes Over-/underestimation of distances and travel times Effort leads to fatigue Systematic failure No long time observation High market penetration Easy to use Objective and precise measurement Insight and fun for end user Scalable in a cost-effective way Important: Privacy concept 10

InnoZ-Tracks recognizes automatically Different means of transport multimodal traffic behaviour Timeframe an distance Action space Usage of free floating Carsharing 11

Examples from the project WiMobil Germany and Berlin n = 204; Untersuchungsgebiete: Berlin und München; 17.-01.04.2014 n = 204; Untersuchungsgebiete: Berlin und München; 17.-01.04.2014 12

andere Städte weltweit Buchungen pro Woche InnoZ-Dashboard is based on a comprehensive Carsharing-Datenbank 80000 70000 Berlin 60000 50000 40000 30000 Hamburg Wien Vancouver 20000 Mailand 10000 0 02.07.2012 10.09.2012 19.11.2012 28.01.2013 08.04.2013 17.06.2013 26.08.2013 04.11.2013 13.01.2014 24.03.2014 13

Carsharing Bikesharing InnoZ database compromises of over 50 million movements of Car- und Bikesharings since 2011 (stand 10/2014) Zahlen: erfasste Bewegungen in Millionen 32 InnoZ Datenbank (nur Car- und Bikesharing) MiD 2008 (verschiedene Verkehrsmodi) 20 15 6,6 0,19 0,007 weltweit Deutschland Berlin Deutschland Berlin Attribute: Start- und Abgabeort, Start- und Abgabezeit, Tank- oder Ladestand 14

Car sharing gets popular. Usage is rising. Bookings for flexible carsharing week 4 2013/2014 2013 2014 Bookings per ha and day 15

Car sharing gets popular. Usage is rising. Bookings for flexible carsharing week 4 2013/2014 2013 2014 Bookings per ha and day 16

The view of the operator: How to react on demand and customer requirements Disposal strategies for flexible fleets on the basis of passively gathered data

Can passive generated data be used for short-term disposal? Ziel Erhöhung der Einnahmen durch verbesserte Auslastung Optimierung der Betriebskosten durch effizientere Disposition mögliche Datenquellen Log-Files der Apps und Webseiten nutzergenerierte Daten Bewegungsdaten Buchungsdaten Scraping-Daten Anzahl verfügbarer Fahrzeuge im free floating Carsharing Berlins unterdurchschnittlich durchschnittlich überdurchschnittlich erster Ansatz am InnoZ Abweichungen der Anzahl verfügbarer Fahrzeuge vom Durchschnitt Differenz zwischen mehrwöchigem Durchschnitt und aktuell verfügbaren Fahrzeugen in Berlin 18

Unsere Standort: Berlin München London Innovation Centre for Mobility and Societal change (InnoZ) GmbH Torgauer Straße 12-15 10829 Berlin Tel: 0049-30 23 88 84-111 E-Mail: info@innoz.de Internet: http://www.innoz.de Representative Munich Infanteriestraße 19/3 80797 Munich CEO: Dr. Jürgen Peters Prof. Dr. Andreas Knie Representative London c/o LSE Enterprise Ltd. Houghton Street London WC2A 2AE Shareholders: - DB Mobility Logistics AG - Siemens AG - Science centre Berlin for social research ggmbh - T-Systems International GmbH - German centre for Aerospace e.v. 19