Codice TEE : Trasporti Energia Emissioni E

Slides:



Advertisements
Similar presentations
ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS TRANSPORTATION SYSTEMS AND LOGISTICS LABORATORY (TRANSLOG) © Prof. K. Zografos STEPs STEPs Scenarios for the.
Advertisements

Statistical evaluation of model uncertainties in Copert III, by I. Kioutsioukis & S. Tarantola (JRC, I)
1 AirWare : urban and industrial air quality assessment and management Release R5.3 beta DDr. Kurt Fedra Environmental Software & Services GmbH A-2352.
WLTP-06-31e WLTP correction algorithms progress report from TUG (chassis dynamometer corrections) and TNO (coast down corrections) preliminary results.
L2 Compliance: Project Darwin
1 Estimating On-Road Vehicle Emissions Using CONCEPT Alison K. Pollack Ralph Morris ENVIRON International Corporation.
Center for Modeling & Simulation.  A Map is the most effective shorthand to show locations of objects with attributes, which can be physical or cultural.
The INTEGRATION Modeling Framework for Estimating Mobile Source Energy Consumption and Emission Levels Hesham Rakha and Kyoungho Ahn Virginia Tech Transportation.
Vehicle Flow.
Junction Modelling in a Strategic Transport Model Wee Liang Lim Henry Le Land Transport Authority, Singapore.
Department of Architecture and Regional Planning, IIT, Kharagpur Perspective Plan for Barddhaman Planning Area – Vision 2025 TRAFFIC & TRANSPORT.
Freight transport modelling - an approach to understand demand and use of transport energy Annecy, May 26th, 2008 Ole Kveiborg and Jean-Louis Routhier.
Ministry of Infrastructure of Ukraine (former Ministry of Transport and Communications) State Enterprise «State Road Transport Research Institute» (SE.
Other Design Consideration TS 4447: Highway Geometric Design.
Luminy, October 2007 Traffic Flow in Networks: Scaling Conjectures, Physical Evidence, and Control Applications Carlos F. Daganzo U.C. Berkeley Center.
Micro Turbines : Turbo-expanders New Solutions for Distributed Green & Waste Resources….. P M V Subbarao Professor Mechanical Engineering Department.
Large Steam& Gas Turbines P M V Subbarao Professor Mechanical Engineering Department Backbones of Modern Nations ……
BETTER AIR QUALITY 2004 SPECIFIC TRANSPORT MEASURES TO REDUCE EMISSIONS IN HYDERABAD, INDIA Yash Sachdeva, RITES Ltd Viresh Goel, RITES Ltd D.S.Chari,
COPERT 4 Training 3. Activity Data – Beginner’s Guide.
Applied Transportation Analysis ITS Application SCATS.
School of Aeronautical Engineering, Queen’s University Belfast Turbulent Wind Flow over a High Speed Train R K Cooper School of Aeronautical Engineering.
The ARTEMIS tools for estimating the transport pollutant emissions Artemis project - EC DG Tren COST346 - Heavy duty vehicles emissions M. André, INRETS,
Innovative ITS services thanks to Future Internet technologies ITS World Congress Orlando, SS42, 18 October 2011.
Wolf-Gerrit Früh Christina Skittides With support from SgurrEnergy Preliminary assessment of wind climate fluctuations and use of Dynamical Systems Theory.
Igor Trpevski University of St. Cyril and Methodius Skopje,
Trucks on Motorways in the Netherlands A survey of the role of trucks in traffic flow AVV Transport Research Centre Ministry of Transport Onno Tool
Applications of Regression to Water Quality Analysis Unite 5: Module 18, Lecture 1.
It’s Easy to Quantify Changes in GHG Emissions from Cars and Light Trucks – Right? Presented to: SACOG Panel Discussion April 16, 2009 Presented by: Bob.
Bernhard Friedrich Hanover, May 2001 Strategic Control in Metropolitan Areas Bernhard Friedrich Institute of Transport Engineering and Planning Hanover.
A Closer Look at Energy Demands: Quantification and Characterisation.
Submission Document went to cabinet … Planning for the Future Core Strategy and Urban Core Plan (the Plan) is a key planning document and sets out the.
7/15/2002PP.AFD.09 1 of 43 Yaskawa Electric America Variable Frequency Drives In HVAC Applications.
Proposed Development of a KPIs Module for Traffic Modeling London, 13 April 2012 N. Eden Technion – Israel Institute of Technology.
ParkNet: Drive-by Sensing of Road-Side Parking Statistics Irfan Ullah Department of Information and Communication Engineering Myongji university, Yongin,
7. Air Quality Modeling Laboratory: individual processes Field: system observations Numerical Models: Enable description of complex, interacting, often.
Pedestrian Crossing Speed Model Using Multiple Regression Analysis.
Urban Mobility Management and Emissions Measurement System Boile Maria 1,2 Afroditi Anagnostopoulou 1 Evangelia Papargyri 1 1 Centre for Research and Technology.
Air Quality Emission inventories
4. Activity Data – Beginner’s Guide
SMOKE-MOVES Processing
Fundamental relations of traffic flow
T-Share: A Large-Scale Dynamic Taxi Ridesharing Service
WP2 INERTIA Distributed Multi-Agent Based Framework
From: Flow Boiling in an In-Line Set of Short Narrow Gap Channels
DTP Conventional Engines HEV/PHEV/EV Reference Fuels PM/PN
SYNCHRO from TRAFFICWARE
Fundamentals of Traffic Flow
Karen Tsang Bureau of Transport Statistics Department of Transport
Date of download: 12/26/2017 Copyright © ASME. All rights reserved.
Modelling Sustainable Urban Transport
Applied Technology and Traffic Analysis Program(ATTAP) MIDCAP & MUID
The Transportation & Air Quality Research Group
Thermal analysis Friction brakes are required to transform large amounts of kinetic energy into heat over very short time periods and in the process they.
ITTS FEAT Tool Methodology Review ITTS Member States Paula Dowell, PhD
Introduction Traffic flow characteristics
Solar City: Effect of Solar Technologies on Network Performance
Volume 112, Issue 7, Pages (April 2017)
17th May 2004 Bart Van Herbruggen Transport & Mobility Leuven
vkm in transport modelling
Planning for Human-Robot Collaboration
Report Nr. I-25/10 Haus-Em 07/10/676 from
for Multi-Modal Transport
Passenger mobility and road traffic statistics
Pilot project: Analysis of the relevance of influencing factors when determining CO2 emissions and fuel consumption during type approval of passenger cars.
Passenger Mobility Statistics 10 April 2014
HDV CO2 Regulation in REPUBLIC OF KOREA
Sensitivity Analysis Update
Boundary conditions - Status
WLTP Modelling of fuel consumption and detection of driveability problems for “borderline” cars with different maximum speed caps. Heinz Steven
A Low Carbon Future of Transport: an Integrated Transport Model Coupling with Computable General Equilibrium Model Shiyu Yan (Economic and Social Research.
Presentation transcript:

Codice TEE : Trasporti Energia Emissioni E Codice TEE : Trasporti Energia Emissioni E. Negrenti - ENEA ANPA - 9 Novembre 2000

TEE SHORT PRESENTATION MAIN CONTENTS OBJECTIVES VEHICLES KINEMATICS MODELLED FACTORS PARKING PROCESS SIMULATION THE KINEMATICS CORRECTION 2/24/2019 TEE SHORT PRESENTATION

1) OBJECTIVES OF TEE MODEL Link by link emission calculation Flexible kinematics description Modelling all factors affecting emissions Separated analysis of parking process Integration of the micro module (one link - one hour) in a year - network framework Complete spatial-temporal flexibility 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION 2. TEE MODEL KINEMATICS VARIABLE KINEMATICS APPROACH STRATEGIC COUPLING WITH ANY TRAFFIC MODEL OR DATA AVERAGE SPEED OPTIONS SIMPLIFIED CYCLE OPTIONS DETAILED SPEED CYCLE OPTION KINEMATICS CORRECTION FACTOR APPROACH (1998) 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION 3. MODELLED FACTORS ENGINE TEMPERATURE (LOCAL COLD VEHICLES FRACTION) ROAD GRADIENT (SLOPE) MAINTENANCE AGE ALTITUDE DISTINCT PARKING FLOWS 2/24/2019 TEE SHORT PRESENTATION

4. PARKING PROCESS SIMULATION PARKING AND INSERTING FLOWS FOR EACH LINK (‘P’ AND ‘I’ MODES) CONCENTRATED AND DISTRIBUTED PARKING AREAS SIMPLIFIED CYCLES FOR PARKING INLET AND OUTLET P : DECELL., SEARCH, PARKING I : WARM UP, EXIT, INSERTION 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION 4.1 PARKING MODELLING CONCENTRATED PARKINGS STATIC CHARACTERISATION PARKING INVENTORY (MAX. N. OF VEHICLES AND MACRO CATEGORIES ALLOWED) DISTANCE FROM LINK INLET TO PARKING PLACE - AND FROM PARKING TO LINK OUTLET LINKS OF INLET(S) AND OUTLET(S) COORDINATES OF PARKING AREA CENTRE FOR GIS REPRESENTATION 2/24/2019 TEE SHORT PRESENTATION

4.2 DISTRIBUTED PARKINGS STATIC CHARACTERISATION DENSITY OF PARKING PLACES (VEH/KM) ALONG ROAD SIDES - DEFAULT CAN BE AROUND 200 V/KM MACRO CATEGORIES ALLOWED TO PARK ALONG THE ROAD CONSIDERED (e.g. : Passenger Cars, 2 Wheelers, coaches) 2/24/2019 TEE SHORT PRESENTATION

4.3 Dynamic Description of Parking Areas (Concentrated or Distributed) Occupation profile in 24h (from 0 to 1 of local inventory) Input and Output flows (veh/hr) to-from linked vehicular flows from Concentrated parking : data from monitored parking for Distributed parking : a fixed % of the hourly transit flow (1999…. What in 2000?) 2/24/2019 TEE SHORT PRESENTATION

5. THE KINEMATICS CORRECTION FACTOR (KCF) APPROACH EMISSIONS ON NETWORK LINKS ARE NORMALLY CALCULATED FROM AVERAGE SPEED, BUT LINKS WITH THE SAME AVERAGE SPEED CAN SHOW VERY DIFFERENT VEHICLE KINEMATICS, AND VERY DIFFERENT EMISSIONS TO CORRECT THE ‘AVERAGE SPEED EMISSION’ WITH A FACTOR INCLUDING THE EFFECT OF SPEED VARIABILITY ALONG THE LINK CAN REDUCE EMISSION UNCERTAINTY THE ‘KCF’ CAN BE EXPRESSED AS A FUNCTION OF TRAFFIC DENSITY, GREEN TIME %, LINK LENGTH AND AVERAGE SPEED AND CALCULATED BY THE RECONSTRUCTION OF THE SPEED CYCLE 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION FIG. 2 : SPEED CYCLE RECONSTRUCTION : TIME FRACTIONS OF KINEMATIC PHASES VS NORMALISED TRAFFIC DENSITY (QUALITATIVE CURVES) 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION FIGURE 3 : TYPICAL RECONSTRUCTED SPEED CYCLES 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION 5.1 RESULTS FROM DG XII ESTEEM PROJECT KCF = KCF0 * d(D) * g(G) * l(L) * v(V) for Fuel Consumption (c1 to c14 are optimised coefficients) d(D) = c1 (D < 30) , c2 * D + c3 (30 < D < 90), c4-c5*D ( D>90) g(G) = c6 ,for G < 0.9 , and c7 - c8 * G for 0.9 < G < 1.0 l(L) = c9 + c10 * exp (-L/c11) v(V) = c12 + c13 * exp (-V/c14) for CO emissions d (D) = c1 + c2 * exp (D/c3) (D<90), and d(D) = c4-c5*D (D>90) g(G) = c6 + c7 * exp (-G/c8) l(L) = c9 + c10 * exp (-L/c11) v(V) = c12 - c13 * exp (-V/c14) 2/24/2019 TEE SHORT PRESENTATION

TEE SHORT PRESENTATION FIG . 4 : KCF for Fuel Consumption full range density profile (10 to 110 vehicles/Km) 2/24/2019 TEE SHORT PRESENTATION ppppp

TEE SHORT PRESENTATION Figure 5 : Measured, calculated (shaded area) and extrapolated CO level at Corso Francia site, for business day 2/24/2019 TEE SHORT PRESENTATION