Information on historical data on new vehicle registrations, necessary for the ageing and scrappage calculations, enter the view on the right side.

Similar documents
Technical support to the correlation of CO 2 emissions measured under NEDC and WLTP Ref: CLIMA.C.2/FRA/2012/0006

DRP DER Growth Scenarios Workshop. DER Forecasts for Distribution Planning- Electric Vehicles. May 3, 2017

Derivative Valuation and GASB 53 Compliance Report For the Period Ending September 30, 2015

Aaren Healy, 20 September 2017 / 1

Road Transport Energy Demand and CO 2 Emissions in APEC Economies through 2040

Jo Van Biesebroeck K.U.Leuven. Report prepared for the Research Round Table Stimulating low carbon vehicle technologies

DECARBONISATION OF THE TRANSPORT SECTOR CONSIDERING GLOBAL LEARNING AND FLEXIBILITY POTENTIAL FOR THE ELECTRICITY SYSTEM

Oklahoma Volkswagen Settlement

APERC Transport Modelling: BAU

ONE YEAR ON: THE IMPACTS OF THE LONDON CONGESTION CHARGING SCHEME ON VEHICLE EMISSIONS

Interstate Freight in Australia,

Fuel Economy Policies Implementation Tool (FEPIT)

EGR Transient Simulation of a Turbocharged Diesel Engine using GT-Power

Passenger cars in the EU

A comparison of the impacts of Euro 6 diesel passenger cars and zero-emission vehicles on urban air quality compliance

Energy Efficiency Transport Sector

VT2+: Further improving the fuel economy of the VT2 transmission

Forecast Allocation Methodology. Kitsap 10-Year Update Kitsap County August 2006; Updated November 2006

Car fleet policy evaluation: the case of a Bonus-Malus system in Sweden

Integrating Electric 2&3 Wheelers into Existing Urban Transport Modes in Africa

Technology and policy drivers of the fuel economy of new light-duty vehicles Comparative analysis across selected automotive markets

The Future for the Internal Combustion Engine and the Advantages of Octane

AEBS and LDWS Exemptions Feasibility Study: 2011 Update. MVWG Meeting, Brussels, 6 th July 2011

Reducing greenhouse-gas emissions of. Project co-ordinator: Dr. Wolfgang Schade

Distribution Forecasting Working Group

EJ2440 ELECTRIC TRANSPORTATION

Global EV Outlook 2017 Two million electric vehicles, and counting

Steady-State Power System Security Analysis with PowerWorld Simulator

Assessing impacts of fuel economy measures FEPIT

Priorities for future vehicle safety improvements in the Western Australian light vehicle fleet

Contents. Solar Select TM Frequently Asked Questions

Modelling the impact of automated driving - Private autonomous vehicle scenarios for Germany and the US

Long-term trends in road safety in Finland - evaluation of scenarios towards 2020 and beyond

Toxics Substance Reduction Plan Summary For. Ethyl acetate Ethyl alcohol Isopropyl alcohol Methyl ethyl ketone Methyl isobutyl ketone

North Dakota Industrial Commission. Justin J Kringstad Geological Engineer Director North Dakota Pipeline Authority

TORONTO TRANSIT COMMISSION REPORT NO.

ILLINOIS SUPPLEMENTAL PV PROCUREMENT PROGRAM (ROUND 3) JANUARY 13, 2016

Using cloud to develop and deploy advanced fault management strategies

Attachment C: Benefit-Cost Analysis Spreadsheet

[Insert name] newsletter CALCULATING SAFETY OUTCOMES FOR ROAD PROJECTS. User Manual MONTH YEAR

Establishment of Joint Venture with PSA for EV Traction Motor Business

2.007 Design and Manufacturing I

The EurObserv ER barometer Contract N EIE/O9/737/SI Project supported by :

U.S. Heavy-Duty Vehicle GHG/Fuel Efficiency Standards and Recommendations for the Next Phase

24-25 May, 2018, Skiathos Island, Greece. DAStU, Politecnico di Milano, Via Bonardi 3, 20133, Milano, Italy

Support for the revision of the CO 2 Regulation for light duty vehicles

The ACT s Transition to Zero Emissions Vehicles Action Plan Anna McGuire Senior Policy Officer, Climate Change Policy

Boston Gas Company and Colonial Gas Company each d/b/a National Grid Energy Efficiency Term Report D.P.U

The Engineering Department recommends Council receive this report for information.

CO2 BASED MOTOR VEHICLE TAXES IN THE EU

Vehicle Scrappage and Gasoline Policy. Online Appendix. Alternative First Stage and Reduced Form Specifications

Using resource based slicing to incorporate the effects of intermittency in large scale energy models

Fueling Savings: Higher Fuel Economy Standards Result In Big Savings for Consumers

Energy efficiency policies for transport. John Dulac International Energy Agency Paris, 29 May 2013

Modelling Energy Demand from Transport in SA. Bruno Merven

UNIAIR Variable Valve Actuation System Modelling and Integration to the Engine in the GT-SUITE environment

PRIMES-TREMOVE transport model v3 Model description

Powertrain Technology Transition Market Agent Model (PTTMAM)

Introduction. Problem and methodology

ASTM D4169 Truck Profile Update Rationale Revision Date: September 22, 2016

(2) Scope. 220 CMR applies to all Distribution Companies subject to the jurisdiction of the Department.

Transport Outlook Vehicle Fleet Emissions Model. (Version 2)

CITY OF EDMONTON COMMERCIAL VEHICLE MODEL UPDATE USING A ROADSIDE TRUCK SURVEY

Proportion of the vehicle fleet meeting certain emission standards

EXTENDED SEMITRAILER TRIAL OPERATION SPECIAL VEHICLE CONFIGURATION PERMIT CONDITIONS

elektronik Designing vehicle power nets A single simulation tool from initial requirements to series production

Released: December 2018 Covering data thru November YTD 18 thru November % Change In New Retail Market vs. Year Earlier

Frequently Asked Questions (FAQ) for Honda Customers

Monitoring the CO 2 emissions from new passenger cars in the EU: summary of data for 2010

ELECTRICITY SERVICE PRICE LIST

Optimal Policy for Plug-In Hybrid Electric Vehicles Adoption IAEE 2014

The Easy Way to Electromobility

Statement Dr. Norbert Reithofer Chairman of the Board of Management of BMW AG Conference Call Interim Report to 30 June August 2013, 10:00 a.m.

Bulls-Eye Diagrams, Minimum Structures and Feebates

Clean Vehicles Seminar. Electric Vehicle Charging

PIPELINING: BRANCH AND MULTICYCLE INSTRUCTIONS

GREEN DRIVES: CLEAN FUEL INCENTIVES

DEFECTS OF FREIGHT LOCOMOTIVE WHEELS AND MEASURES OF WHEEL TYRE LIFE EXTENTION

Expected Energy Not Served (EENS) Study for Vancouver Island Transmission Reinforcement Project (Part I: Reliability Improvements due to VITR)

Past, Present-day and Future Ship Emissions

-SQA-SCOTTISH QUALIFICATIONS AUTHORITY HIGHER NATIONAL UNIT SPECIFICATION GENERAL INFORMATION

Aging of the light vehicle fleet May 2011

KANSAS CITY POWER AND LIGHT COMPANY P.S.C. MO. No. 7 Fourth Revised Sheet No. 39 Canceling P.S.C. MO. No. 7 Third Revised Sheet No.

Community Solar Frequently Asked Questions. Q: Whom do I talk to about becoming a subscriber or my active subscription?

$DA ECM DEFINITION FILE

Use of National Household Travel Survey (NHTS) Data in Assessment of Impacts of PHEVs on Greenhouse Gas (GHG) Emissions and Electricity Demand

Active Roll Control (ARC): System Design and Hardware-Inthe-Loop

Economic and Social Council

Estimation Procedure for Following Vapor Pressure Changes

STATE OF NEW JERSEY. SENATE, No th LEGISLATURE

Contribution to the RDE working group

Low and medium voltage service. Power Care Customer Support Agreements

Vehicle Online Services

TEXARKANA, TEXAS SERVICE AREA. Original Sheet No /6. CenterPoint Energy Resources Corp. d/b/a CenterPoint Energy Arkansas Gas (Name of Company)

FRAUNHOFER INSTITUTE FOR SOLAR ENERGY SYSTEMS ISE

Valeo reports 14% growth in consolidated sales for third quarter 2011

The Future of Roads. Collaborating for Industry Solutions in the Built Environment (CISBE) Symposium

Flexible Ramping Product Technical Workshop

Presenters: Mr. Moresh Kolhe Mr. Babu Bhondave Mahindra & Mahindra (AFS) Copyright 2012 Mahindra & Mahindra Ltd. All rights reserved.

LAEI 2013 Non-road transport emission estimates

Transcription:

15. Vehicles by age Overview Target This view is completely focused on vehicles. Its primary aims are the evaluation new vehicle registrations on the basis of projections on the evolution of the vehicle stock. The view also takes care of updating the information on aging and scrappage of existing vehicles. Structure The general appearance of the view is shown in Figure 15.1. Information on the evolution of the vehicle stock for all transport modes (both for passenger and freight services), coming from the "demand" views, enters this view on the top left area. Two ageing loops, one focused on the vehicle class level and another on the powertrain level, are respectively located in the centre right and bottom right areas of the view. These loops require inputs on scrappage (or survival) profiles over time. Information on historical data on new vehicle registrations, necessary for the ageing and scrappage calculations, enter the view on the right side. Information on the powertrain selection by technology is required to perform the calculations included in the ageing loop at the powertrain level. Figure 15.1 Vehicles by age view: general appearance of the Vensim sketch

Detailed description of the view Inputs Inputs concerning the historical new vehicle registration by age at the base year enter the view on the bottom right (Figure 15.2). Figure 15.2 Inputs concerning the historical new vehicle registration by age in the Vensim sketch In concordance with the explanation of the view "vehicles, new registrations (historical)", the vehicle historical sales are available from the user within the ten years prior to the base year and are estimated to be constant in earlier years. When the maximum scrappage age is more than the available subscripts for age in the model (XXV), the value given to the sales at the last age subscript covers the whole period between the highest available subscript and the maximum scrappage age (as explained in the view "vehicles, new registrations (historical)"). The variable "NEW REGS (EXCL NMT AND PIPES) BY AGE (BASE YR)" contains the historical sales of vehicles by powertrain in the corresponding age subscript. Applying the vehicle survival curves to the historical sales gives the number of vehicles in the vehicle stock, by age. In this way the vehicle stock, characterized by powertrain, contains information on the vehicles (by age of registration) that are estimated to be still circulation at the base year. Summing up the values along the different powertrains in the variable "NEW REGS (EXCL NMT AND PIPES) BY AGE (BASE YR)" provides the aggregated value by vehicle class. This is necessary for the determination of the vehicle-related information on the centre-right of the view (containing calculations by vehicles class rather than by powertrain). Endogenous inputs coming from the demand generation module, and enabling to use the variable "target vehicle stock "as the main driver of the information contained in this view, are on the top left of the view (Figure 15.3).

Figure 15.3 Inputs from the demand generation module: Vensim sketch Calculations and outputs Considering the historical sales by vehicle class and the target vehicle stock by vehicle class, the loop on the centre-right of the view it determines the new registrations, aging and scrappage of the vehicles by class (Figure 15.4). Figure 15.4 New registrations, aging and scrappage of the vehicles by class: Vensim sketch In particular, the variable "NEW REGS (EXCL NMT AND PIPES) BY VCLASS AND BY AGE", initialized with the historical vehicle sales, is updated over time with new vehicle registrations resulting from the evolution of the drivers affecting the total vehicle stock and includes the replacement of old vehicles that are being scrapped. Apart from including the number of new vehicle registrations by vehicle class, the variable "NEW REGS (EXCL NMT AND PIPES) BY VCLASS AND BY AGE" is also ageing them over time via the application of survival curves: The aggregated value of the vehicle stock by vehicle class is obtained summing up the vehicles still existing in different age cohorts (Figure 15.5).

Figure 15.5 Vehicle stock by vehicle class from vehicles still existing in different age cohorts: Vensim sketch The vehicles scrapped in each time step by age are calculated by means of affecting the new vehicle registrations ( ) at the earlier time step by the following difference of survival rate ( ) curves: ) )) Using the difference between survival curves delayed by a time step allows considering the scrappage by age in a single time step. The aggregated value of the scrapped vehicles (by vehicle class) in a time step is obtained summing up the scrapped vehicles in different age cohorts (Figure 15.6). Figure 15.6 Vehicle scrappage: Vensim sketch The new vehicle registrations in a time step are calculated on the basis of the target vehicle stock ( ) coming from the demand generation module, the scrapped vehicles in a time step ( ), and the vehicle stock before this scrappage step ( ): The corresponding Vensim calculations are reproduced in.

Figure 15.7 New vehicle registrations in a time step: Vensim sketch Figure 15.8 New vehicle registrations by powertrain: Vensim sketch The calculated new vehicle registrations over time by vehicle class are disaggregated by powertrain by means of the powertrain shares (either introduced directly by the user as exogenous inputs or calculated endogenously by means of the logit model explained in the"vehicles, powertrain choice (logit)" view) (Figure 15.8). The new vehicle registrations over time by powertrain and the historical sales by powertrain allow to perform a loop of calculations similar to the one described for each vehicle class (Figure 15.4), but at the powertrain level of disaggregation (Figure 15.9). The approach outlined here leads to results at the vehicle class and powertrain disaggregation levels that are fully coherent. Figure 15.9 New registrations, aging and scrappage of the vehicles by powertrain: Vensim sketch In case of non-motorised transport and pipelines modes the vehicle stock by powertrain corresponds directly to the target vehicle stock by vehicle class. The only powertrain technology concerned are

NO POWERTRAIN in case of non-motorised transport and PIPELINE PUMP in case of pipelines. In addition, non-motorised transport and pipelines modes are not considered in the aging calculation of the vehicle stock. The stock value is therefore allocated to the age subscript ZERO in vehicle stock variables expressed by age. In this last case, other subscripts remain always initialized to zero. Once the non-motorised transport and pipelines modes have been included, the vehicle stock by powertrain, by vehicle class, and by mode, are obtained by means of summing up accros the corresponding subscripts (Figure 15.10). Figure 15.10 Vehicle stock aggregates calculation: Vensim sketch