AB 1 Grön IT - ökad effektivitet för lönsamhet och hållbar utveckling Magnus Swahn
Bakgrund AB 2 Slutsats: Grön IT - ökad effektivitet för lönsamhet och hållbar utveckling? Ja, mycket stora potentialer men Beror på hur man mäter Vilka effekter som beaktas och Det finns risker
Bakgrund AB 3 Magnus Swahn Konsult inom hållbar logistik sedan 2003 Verksamhetsansvarig i Nätverket för Transporter och Miljön (NTM) Green Cargo 3 år ASG i 10 år
Transport Logistics trends AB 4 Conditions for the development of transport logistics Life style -Global products -Living -Global travel and entertainment Reliable cost effective transport -Goods -Travel Information technique - Market transparency -Production technique Resources and energy -Fossil energy -Cheap oil -Other resources
Transport Logistics trends AB 5 01110001001000101001010100 Information and communication techniques - From Gutenberg to Google Sales channel Market transparency Productivity Demand control Vulnerability Increas or decrease transportation?
Diffusion of radio and cell phone techniques in road transport industry 1950 1960 1970 1980 1990 2000 1950 1960 1970 1980 1990 2000 Radio communication Cell phone communication
AB 7 Förbättringsprogram Begränsa Effektivisering Trafik Transport Motor och bränsle Ny teknik
Åtgärsdsområden och exempel Påverkan på trafik (Infrastruktur/ Farkost och fordon) transport (Lastenhet/gods)...fossil energi och emissioner (Bränsle och motorer) Påverkan genom begränsning (Efterfrågestyrning) - Distansavgift - Tidsavgift - Zonförbud - Sändningsfrekvens - Utbyte mot information - Koncentrat - Skatt - Avgifter - Subventioner - Utsläppsrättshandel effektivitet (Observera återverkan) - God infrastruktur - Lokalisering - Trafikledning - Transporttid - Fyllnadsgrad - Ruttplanering - Sparsam körning/ bränslebesparing - Efterbehandling av avgaser - Bränsle ur ett LCA perspektiv teknik (Observera återverkan) - Transportmedel - Omlastningspunkter - Väg- och fordonsstorlek - Lastenhet - Produkt och förpackning - Tysta fordon - Rena bränslen - Förnybara bränslen - Effektiva motorer Källa: AB, Decoupling från teori till praktik Sveriges Naturvårdsverk rapport 5555
AB 9 IT for sales - Virtual shoping vs live shoping - Click home the commodities 01110001001000101001010100
10 Problem - Transport efficiency, degree of utilization Load factor (%) 100 80 60 40 20 00 06 12 18 24 Morning commuters peak hours Afternoon commuters peak hours Time (24 hours) Vehicle degree of utilization Vehicle maximum degree of utilization = Ratio is the degree of utilization
11 Practical measures IT for demand control - Transport demand control in Oslo, Stockholm, London and Germany Environmental zones, German examples Berlin, Hannover, Köln, Mannheim, Stuttgart, Tübingen, Ilsfeld, Reutlingen, Schwäbisch-Gmünd, Leonberg, München, Augsburg, Freiburg, Heidelberg, Karlsruhe, Ludwigsburg, Mühlacker, Ulm/Neu-Ulm and Pforzheim
12 IT for productivity - The impact of load factor on relative CO2-performance CO2 performance of a trailer with a Euro 4 tractor Emissions [g CO2/tonkm] 350 300 250 200 150 100 50 0 0 20 40 60 80 100 Utilization [%] Source: AB
13 IT for productivity - Avoiding left turns Cost saving 500 meters per day and vehicle CO2 saving Traffic safety gains
14 IT for productivity - operational route planning Before Manual operational route planning After IT-based operational route planning 12 vehicles divided in four sections 10 vehicles in one section - 5 % fuel per vehicle
15 IT for productivity - Eco driving for trucks Come to right speed quick Stay at speed at highest gear avoid braking Avoid gear 1 Fuel consumption - 7-10 % - 19 % 0 Time Assess position Actions Rebound Long term effect (requires follow up) Directive 2003/59/EG Education from September 10, 2008 for bus and September 10, 2009 for truck Education every 5 year 35 hours Includes substantial part on Eco driving
Road transport improvements 30% CO2 reduction targets in trucks Source: Incremental improvements 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Baseline [g/tkm] 62 62 62 62 62 62 62 62 62 62 10% alternatives 2900 2865.2 2830.818 2796.848 2763.286 2730.126 2697.365 2664.996 2633.016 2601.42 1% engine 0.99 1,5% load factor 1.5% Load capacity [ton] 26 Fc min 0.226 0.224 0.222 0.219 0.217 0.215 0.213 0.211 0.209 0 FC max 0.362 0.358 0.355 0.351 0.348 0.344 0.341 0.337 0.334 0 Load factor [%] 54% 56% 57% 59% 60% 62% 63% 65% 66% 68% Performance [g/tkm] 62 59 57 55 52 50 48 46 45 43 Improvements 0% 4% 8% 12% 16% 19% 22% 25% 28% 31% Technical shifts Hybrid technology 10% Larger load capacity [ton] 40 Larger load capacity FC+ 10% Driver follow up 3% Route planning 3% Fc min 0.226 0.217 0.215 0.206 0.204 0.202 0.220 0.196 0.194 0.192 FC max 0.362 0.348 0.344 0.330 0.327 0.324 0.353 0.314 0.311 0.308 Load factor [%] 54% 56% 57% 59% 60% 62% 63% 65% 66% 68% Performance [g/tkm] 62 57 55 51 49 47 33 28 27 26 Improvements 0% 7% 11% 17% 21% 24% 48% 55% 56% 58%
AB 17 magnus.swahn@conlogic.se andreas.peterson@conlogic.se www.conlogic.se/sustainable logistics management info@ntmcalc.org www.ntmcalc.org