API PUBL 4650-1997 Analysis of High-Mileage-Vehicle Emissions Data from Late-Model Fuel-Injected Vehicles《从晚模型 燃料注入车辆高里程车辆的排放数据分析》.pdf
《API PUBL 4650-1997 Analysis of High-Mileage-Vehicle Emissions Data from Late-Model Fuel-Injected Vehicles《从晚模型 燃料注入车辆高里程车辆的排放数据分析》.pdf》由会员分享,可在线阅读,更多相关《API PUBL 4650-1997 Analysis of High-Mileage-Vehicle Emissions Data from Late-Model Fuel-Injected Vehicles《从晚模型 燃料注入车辆高里程车辆的排放数据分析》.pdf(58页珍藏版)》请在麦多课文档分享上搜索。
1、 STD.API/PETRO PUBL 4b50-ENGL 1997 0732290 05b4204 il39 I American Petroleum Institute ANALYSIS OF HIGH-MILEAGE- VEHICLE EMISSIONS DATA FROM LATE-MODEL, FUEL-INJECTED VEHICLES Health and Environmental Sciences Department Publication Number 4650 February 1997 STD.API/PETRO PUBL 4b50-ENGL 1997 073229U
2、 05b4205 T75 A na lys i s of H i g h = M i I eag e-Ve h i c I e Emissions Data from Late-Model, Fuel-Injected Vehicles Health and Environmental Sciences Department API PUBLICATION NUMBER 4650 PREPARED UNDER CONTRACT BY: SIERRA RESEARCH, INC. 1801 J STREET SACRAMENTO, CALIFORNIA 9581 4 FEBRUARY 1997
3、American Petroleum Institute STD-API/PETRO PUBL 4b50-ENGL 1777 0732290 05b1i20b 901 FOREWORD API PUBLICATIONS NECESSARILY ADDRESS PROBLEMS OF A GENERAL NATURE. WITH RESPECT TO PARTICULAR CIRCUMSTANCES, LOCAL, STATE, AND FEDERAL LAWS AND REGULATIONS SHOULD BE REVIEWED. API IS NOT UNDERTAKING TO MEET
4、THE DUTIES OF EMPLOYERS, MANUFAC- TURERS, OR SUPPLIERS TO WARN AND PROPERLY TRAIN AND EQUIP THEIR EMPLOYEES, AND OTHERS EXPOSED, CONCERNING HEALTH AND SAFETY RISKS AND PRECAUTIONS, NOR UNDERTAKING THEIR OBLIGATIONS UNDER LOCAL, STATE, OR FEDERAL LAWS. NOTHING CONTAINED IN ANY API PUBLICATION IS TO B
5、E CONSTRUED AS GRANTING ANY RIGHT, BY IMPLICATION OR OTHERWISE, FOR THE MANU- FACTURE, SALE, OR USE OF ANY METHOD, APPARATUS, OR PRODUCT COV- ERED BY LETTERS PATENT. NEITHER SHOULD ANYTHING CONTAINED IN THE PUBLICATION BE CONSTRUED AS INSURING ANYONE AGAINST LIABIL- ITY FOR INFRINGEMENT OF LEITERS P
6、ATENT. All rights reserved. No part of rhis work may be reproduced, stored in a retrieval system. or transmitted by any means, electronic, mechanical, photocopying, recording, or otherwise, withour prior written permission from the publishel: Contact the publishe6 API Publishing Services, 1220 L Str
7、eet. N. W, Washington, D.C. 20005. Copyright O 1997 American Petroleum Institute . 111 STD-API/PETRO PUBL 4b50-ENGL 1977 0732270 5b4207 848 ACKNOWLEDGMENTS THE FOLLOWING PEOPLE ARE RECOGNIZED FOR THEIR CONTRIBUTIONS OF TIME AND EXPERTISE DURING THIS STUDY AND IN THE PREPARATION OF THIS REPORT: MI ST
8、AFF C ONACT David Lax, Health and Environmental Sciences Department MEMBERS OF THE THE VEHICLE EMISSIONS TASK FORCE J. Steve Welstand, Chairperson, Chevron Research and Technology Co. John C. Eckstrom, Ammo Research Center Dennis Feist, Shell Development Co. Ana Rodriguez Forker, Arco Products Co. F
9、rank S. Gerry, BP America, Inc. Mani Natarajan, Marathon Oil Co. Rick Riley, Phillips Petroleum King Eng, Texaco, Inc. George S. Musser, Exxon Research 38 were in the 1988 and later model year group. . Model year appeared to be a more important determinant of emissions than fuel- delivery technology
10、, with the 1988 and later model year group demonstrating substantially lower emissions than the 1985 to 1987 group. A single “super” emitter was tested in the HMV project. This vehicle (1 985 model year, TBI fuel-delivery system) had hydrocarbon (HC) emissions of 10.32 g/mi and carbon monoxide (CO)
11、emissions of 149.45 gimi. Because it had a significant impact on the mean emission rate calculations presented in the report, most statistics are presented with and without this vehicle included. The site at which the vehicles were recruited appeared to have little impact on the mean emission levels
12、 of the sample. DEVELOPMENT OF BASE EMISSION RATE EQUATIONS The data collected in the HMV project were used to develop alternative emission factors for use in MOBILE5a. The modeling methodology used for this analysis relied on the emitter category definitions developed by EPA for MOBILESa. Figure ES
13、- 1 compares the HMV study HC emission rates* to those predicted by TECH5 (a pre-processor model to MOBILESa that generates base emission rate equations and I/M credits for the model). That figure, which also shows the mean emission rates of the HMV database by model-year group and mileage increment
14、 (i.e., 100,000 to 125,000; 125,000 to 150,000; and over 150,000), indicates that MOBILE5a (ie., TECHS) is significantly over-predicting HC emissions of late-model vehicles at high mileage. Similar trends were also observed for CO and oxides of nitrogen Ox) emissions. * Note that the “HMV Study” lin
15、e in Figure ES-1 reflects modeled predictions described later in the report. Because only vehicles with more than 100,000 miles were tested in this study, the modeled emission rates fiom O to 50,000 miles were based on TECH5, while emission rates fiom 50,000 to the frst mileage increment of the HMV
16、data (approximately 1 10,000 miles) were based on simple interpolation ES-2 STD.API/PETRO PUBL 4b5U-ENGL 1997 0732290 05b4217 797 TECH5 HMV Study 1988+ Data Pre-88 Data - o* o -4- -QI O 1 I I O 5 10 15 Odometer (10,000 Miles) Figure ES-1. Comparison of HC Emission Factors from TECH5 and the High-Mil
17、eage-Vehicle Study. (Data points reflect mean emission rates calculated from the HMV data; the “HMV Study” line represents modeled predictions based on this work.) It is interesting to note that the mean emission rates by emitter category (i.e., normal, high, very high, and super emitters) are not d
18、ramatically different when the HMV results are compared to TECHS. Rather, the difference in the distribution of vehicles among emitter categories is responsible for the large difference in predicted emission rates between TECH5 and the HMV study, i.e., more hgh-emitting vehicles are being predicted
19、by TECH5 than are observed in the HMV database. (For a discussion of the basis for the TECH5 emitter distributions, please refer to Sierra Research, 1994.) IMPACT OF HMV EMISSION FACTORS ON MOBILE5a PREDICTIONS The emission factors illustrated in Figure ES-1 were used in conjunction with the MOBILE5
20、a model to generate light-duty-vehicle, fleet-average HC emission rates for calendar years 1995 to ES-3 2010. (Note that the HMV study emission factors were calculated only for 1985 and later model year vehicles.) The results of the MOBILE5a runs are illustrated in Figure ES-2, which shows a signifi
21、cant decrease in fleet-average emissions when the emission factors are based on the HMV study. Also of note in Figure ES-2 is that the impact of the revised emission factors is most pronounced on the non-I/M estimates, and the difference between the MOBILE5a rates and the HMV study rates increases i
22、n future years as the fleet turns over. 2 n E 1.5 Y m QD - O1 QD QD w - E 0.5 II - II O 1995 Figure ES-2. 2000 2005 Calendar Year Comparison of Fleet-Average HC Emission Factors High-Mileage-Vehicle Study. 201 o - MOBILE5a Versus the ES-4 INFLUENCE OF MILEAGE ACCUhKJLATION RATES AND VEHICLE AGE ON E
23、MISSIONS A final evaluation performed in this study was a comparison of FTP-based emission rates from the EPAs Hammond, Indiana, M40 and emission factors test program and the emission rates from the HMV study. One complicating factor related to this comparison is that the HMV study was conducted abo
24、ut 4.5 years thus, it represents a newer fleet of vehicles (on a model-year basis) relative to the Hammond project. In addition, although vehicles in the HMV project were limited to a maximum mileage accumulation rate of 33,000 miles per year, some of those vehicles accrued mileage at a much faster
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