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Modeling Air Pollutant Emissions from Provincial-Level Road Transportation Sector of Korea
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 김수덕 | - |
| dc.contributor.author | 노민영 | - |
| dc.date.accessioned | 2022-11-29T02:32:13Z | - |
| dc.date.available | 2022-11-29T02:32:13Z | - |
| dc.date.issued | 2020-08 | - |
| dc.identifier.other | 30212 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/19731 | - |
| dc.description | 학위논문(박사)--아주대학교 일반대학원 :에너지시스템학과,2020. 8 | - |
| dc.description.tableofcontents | I. Introduction 1 II. Review of Previous Studies 3 III. Data and Methodology 7 A. Global Change Assessment Model 7 1. Overview of GCAM 7 2. Data System of GCAM 10 B. GCAM-Korea 15 1. R package for GCAM-Korea 16 2. Assumptions and Data for GCAM-Korea 21 3. Main Results of GCAM-Korea 29 C. Modeling Air Pollutant Emissions in GCAM-Korea 33 1. National Emissions Inventory of NIER 33 2. Applying Air Pollutant Emissions Data to GCAM-Korea 34 IV. Scenario and Results 37 A. Scenario Design 37 1. Subsidy for Zero-Emission Vehicles 37 2. Assumptions of New Technology 40 B. Results 43 1. Projected Emissions of Baseline 43 2. ZEVs Dissemination by the Subsidy Policy 47 3. Effects of ZEVs Dissemination on Air Pollution 51 V. Conclusions 56 References 58 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Modeling Air Pollutant Emissions from Provincial-Level Road Transportation Sector of Korea | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Minyoung Roh | - |
| dc.contributor.department | 일반대학원 에너지시스템학과 | - |
| dc.date.awarded | 2020. 8 | - |
| dc.description.degree | Doctoral | - |
| dc.identifier.localId | 1151642 | - |
| dc.identifier.uci | I804:41038-000000030212 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000030212 | - |
| dc.subject.keyword | air quality improvement | - |
| dc.subject.keyword | fine particulate matter | - |
| dc.subject.keyword | integrated assessment model | - |
| dc.subject.keyword | subsidy policy | - |
| dc.subject.keyword | zero-emission vehicles | - |
| dc.description.alternativeAbstract | South Korea, especially metropolitan area, has been suffering from high PM2.5 pollution. Comprehensive Plan on Fine Dust Management (CPFDM) was established to mitigate PM2.5 emissions. It indicates that transportation sector would reduce 8,600 tonnes of PM2.5 which is the most strict reduction target among major sectors. In 2018, 56% of budget for local PM2.5 mitigation measurement was spent for transportation sector, and notably, 71% of the budget for its sector was spent for subsidization of zero-emission vehicles (ZEVs) promotion. Previous studies have contributed to establishing PM2.5 mitigation policy but have not considered provincial features and sector-interaction. In that sense, integrated assessment model (IAM) could complement the shortcomings of previous studies. IAM capable of analyzing PM2.5 at Korean provincial level, however, has not been developed yet. This study aims i) to develop IAM that can represent Korean provincial-level spatial resolution of energy system and socioeconomics, ii) to model air pollutant emissions on GCAM-Korea focusing on road transportation sectors as a first step, and finally, iii) to examine zero-emission vehicles (ZEVs) subsidy policy effects on PM2.5 mitigation using the model. GCAM-Korea is developed with a variety of provincial data collected, which represents 16 provinces’ socioeconomics and energy systems, keeping consistency with those of national level. Projected emissions compared to the national emissions inventory using GCAM-Korea works fairly well with empirical data across sectors and provinces except for VOC from light-duty vehicle 2-wheels (LDV2W) in which reported emissions in emissions inventory contradict energy use. ZEVs subsidy simulation shows that PM2.5 emissions decrease by 0.6-4.1% compared to baseline, and Seoul metropolitan area contributes 38-44% of overall PM2.5 emissions reduction. As ZEVs subsidies are weighted towards light-duty vehicle 4-wheels (LDV4W) sector, various spillover effects are found: ZEVs' share rises intensively in LDV4W sector, and this leads to an increase in its service cost, and at the same time, driving bus service cost relatively cheaper. This, in turn, drives an increase in bus service demand and emissions discharge. Furthermore, this type of impact from ZEVs subsidy could not reduce internal combustion engine vehicles (ICEVs) in freight truck, although diesel freight truck is a major contributor to PM2.5 emissions as well as NOx. In future, ZEVs subsidy effect on air quality mitigation in truck and bus sectors should be further investigated through different scenario analyses. In addition, emissions modeling for other sectors such as power generation and industry sectors will be conducted to consider emissions caused by increasing electricity and hydrogen consumptions for ZEVs from the perspective of the whole energy system. It is expected to provide meaningful implications from cross-sector and cross-province aspects. | - |
| dc.title.subtitle | A Case Study of Zero-Emission Vehicle Subsidy | - |
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- Graduate School of Ajou University > Department of Energy Systems > 4. Theses(Ph.D)
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