• Title/Summary/Keyword: $CO_2$ emissions optimization

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Countermeasures for reduction for CO2 emission from training ship (운항실습선에 적용한 CO2 배출량 저감대책)

  • Lee, Sang-Deuk;Koh, Dae-Kwon;Jung, Suk-Ho
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.9
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    • pp.981-986
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    • 2015
  • As the seriousness of global environment pollution is gaining increasing public attention, research into greenhouse gas emissions of ships is being carried out globally. At a domestic level, however, in a number of significant fields such research has not been conducted to date. This study examined countermeasures for the reduction of $CO_2$ emission in the fields of electronic control engines, trim optimization, propeller polishing, hull cleaning, and anti-fouling paint using an actual sea-going vessel. Selected countermeasures were applied during sea trials of the ship and the effect of specific fuel oil consumption analyzed. It was found that each countermeasure resulted in a decrease of fuel consumption of 1~5%. The energy efficiency operational indicator (EEOI) was calculated and found to also be improved by 1~5%. Further research into the EEOI of domestic shipping is planned to enhance conformance with international environmental regulations and improve global competitiveness.

Optimization of the Parallel Diesel Hybrid Vehicle (병렬형 디젤 하이브리드 전기 자동차 최적화)

  • Yeom, Ki-Tae;Yang, Jae-Sik;Bae, Choong-Sik;Kim, Hyun-Ok
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.6
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    • pp.26-32
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    • 2008
  • This research presents a simulation for the fuel economy of parallel diesel hybrid vehicle. Diesel engines compared to gasoline engines have the advantages of higher fuel economy and lower $CO_2$ emission. One of the most ways to meet future fuel economy and emissions regulation is to combine diesel engine technology with a hybrid electric vehicle. The simulation of HEV is growing need for rapid analysis of the many configurations and component options. WAVE, a one-dimensional engine analysis tool, was used to a 2.7L diesel engine. ADVISOR, designed for rapid analysis of the performance and fuel economy of vehicle models, was used to conventional and hybrid electric vehicle by the use of output file from WAVE as the input engine data file for ADVISOR. A parallel diesel HEV is at least $19.7{\sim}36%$ higher fuel economy and improved acceleration ability compared to a conventional diesel vehicle. The energy loss of the parallel diesel HEV is $23{\sim}38%$ less than the conventional vehicle using regeneration.

Examination of excess electricity generation patterns in South Korea under the renewable initiative for 2030

  • Kim, Philseo;Cho, So-Bin;Yim, Man-Sung
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.2883-2897
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    • 2022
  • According to the Renewable Energy 3020 Implementation Plan announced in 2017 by the South Korean government, the electricity share of renewable energy will be expanded to 20% of the total electricity generation by 2030. Given the intermittency of electricity generation from renewable energy, realization of such a plan presents challenges to managing South Korea's isolated national electric grid and implies potentially large excess electricity generation in certain situations. The purpose of this study is: 1) to develop a model to accurately simulate the effects of excess electricity generation from renewables which would arise during the transition, and 2) to propose strategies to manage excess electricity generation through effective utilization of domestic electricity generating capabilities. Our results show that in periods of greater PV and wind power, namely the spring and fall seasons, the frequency of excess electricity generation increases, while electricity demand decreases. This being the case, flexible operation of coal and nuclear power plants along with LNG and pumped-storage hydroelectricity can be used to counterbalance the excess electricity generation from renewables. In addition, nuclear energy plays an important role in reducing CO2 emissions and electricity costs unlike the fossil fuel-based generation sources outlined in the 8th Basic Plan.

Effect of Molecular Weight Distribution of Intrinsically Microporous Polymer (PIM-1) Membrane on the CO2 Separation Performance (마이크로기공 고분자(PIM-1)의 분자량 분포에 따른 이산화탄소 기체 분리막의 성능 변화 연구)

  • Ji Min Kwon;Hye Jeong Son;Jin Uk Kim;Chang Soo Lee
    • Membrane Journal
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    • v.33 no.6
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    • pp.362-368
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    • 2023
  • This research article explores the application of Polymer of Intrinsic Microporosity (PIM-1) as a cutting-edge material for CO2 gas separation membranes in response to the escalating global concern over climate change and the imperative to reduce greenhouse gas emissions. The study delves into the synthesis, molecular weight control, and fabrication of PIM-1 membranes, providing comprehensive insights through various characterization techniques. The intrinsic microporosity of PIM-1, arising from its unique crosslinked and rigid structure, is harnessed for selective gas permeation, particularly of carbon dioxide. The article emphasizes the tunable chemical properties of PIM-1, allowing for customization and optimization of gas separation membranes. By controlling the molecular weight, higher molecular weight (H-PIM-1) membranes are demonstrated to exhibit superior CO2 permeability and selectivity compared to lower molecular weight counterparts (L-PIM-1). The study's findings highlight the critical role of molecular weight in tailoring PIM-1 membrane properties, contributing to the advancement of next-generation membrane technologies for efficient and selective CO2 capture-an essential step in addressing the pressing global challenge of climate change.

An Experimental Study on the Spray and Lean Combustion Characteristics of Bio-enthanol-Gasoline Blended Fuel of GDI (직접분사식 바이오에탄올-가솔린 혼합연료의 분무 및 희박연소 특성에 관한 실험적 연구)

  • Park, Gi-Young;Kang, Seok-Ho;Kim, In-Gu;Lim, Cheol-Soo;Kim, Jae-Man;Cho, Yong-Seok;Lee, Seong-Wock
    • Journal of ILASS-Korea
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    • v.19 no.3
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    • pp.115-122
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    • 2014
  • As a demand for an automobile increases, air pollution and a problem of the energy resources come to the fore in the world. Consequently, governments of every country established ordinances for green-house gas reduction and improvement of air pollution problem. Especially, as international oil price increases, engine using clean energy are being developed competitively with alternative transportation energy sources development policy as the center. Bio ethanol, one of the renewable energy produced from biomass, gained spotlight for transportation energy sources. Studies are in progress to improve fuel supply methods and combustion methods which are key features, one of the engine technologies. DI(Direct Injection), which can reduce fuel consumption rate by injecting fuel directly into the cylinder, is being studied for Green-house gas reduction and fuel economy enhancement at SI(Spark Ignition). GDI(Galoine Direct Injection) has an advantage to meet the regulations for fuel efficiency and $CO_2$ emissions. However it produces increased number of ultrafine particles, that yet received attention in the existing port-injection system, and NOX. As fuel is injected into the cylinder with high-pressure, a proper injection strategy is required by characteristics of a fuel. Especially, when alcohol type fuel is considered. In this study, we tried to get a base data bio-ethanol mixture in GDI, and combustion for optimization. We set fuel mixture rate and fuel injection pressure as parameters and took a picture with a high speed camera after gasoline-ethanol mixture fuel was injected into a constant volume combustion chamber. We figured out spraying characteristic according to parameters. Also, we determine combustion characteristics by measuring emissions and analyzing combustion.

GHG Mitigation Scenario Analysis in Building Sector using Energy System Model (에너지시스템 분석 모형을 통한 국내 건물부문 온실가스 감축시나리오 분석)

  • Yun, Seong Gwon;Jeong, Young Sun;Cho, Cheol Hung;Jeon, Eui Chan
    • Journal of Climate Change Research
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    • v.5 no.2
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    • pp.153-163
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    • 2014
  • This study analyzed directions of the energy product efficiency improvement and Carbon Tax for the domestic building sector. In order to analyze GHG reduction potential and total cost, the cost optimization model MESSAGE was used. In the case of the "efficiency improvement scenario," the cumulative potential GHG reduction amount - with respect to the "Reference scenario" - from 2010 to 2030 is forecast to be $104MtCO_2eq$, with a total projected cost of 2.706 trillion KRW. In the "carbon tax scenario," a reduction effect of $74MtCO_2eq$ in cumulative potential GHG reduction occurred, with a total projected cost of 2.776 trillion KRW. The range of per-ton GHG reduction cost for each scenario was seen to be approximately $-475{\sim}272won/tCO_2eq$, and the "efficiency improvement scenario" showed as the highest in the order of priority, in terms of the GHG reduction policy direction. Regarding policies to reduce GHG emissions in the building sector, the energy efficiency improvement is deemed to deployed first in the future.

Hybrid Multiple Hub-and-Spoke Vehicle Routing Model for Hyundai Mobis Automotive Service Parts Transportation Planning (하이브리드 다중 Hub-and-Spoke 차량 경로 계획 모형 : 현대모비스 자동차 보수용 부품 사내 운송 계획 최적화를 중심으로)

  • Lee, Yong-Dae;Jeong, Hyun-Jong;Son, Young-Soo;Yoon, Chi-Whan
    • Korean Management Science Review
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    • v.28 no.3
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    • pp.1-13
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    • 2011
  • Hub-and-spoke transportation network is a powerful and useful network structure that takes full advantage of economies of scale on routes between hubs. In recent studies, the network structure is extended to hybrid hub-andspoke that allows direct transportation between spokes. In this study, we considered more extended network structure which is called hybrid multiple hub-and-spoke that has multiple hubs and allows direct transportation between spokes. We developed a mathematical optimization model for automotive service parts transportation planning under hybrid multiple hub-and-spoke network structure. The model suggests a long-term transportation route planning and a short-term vehicle assignment planning. The model is verified by simulation and validated in real world application to Hyundai Mobis automotive service parts transportation planning. From the simulation result, the model reduced the transportation cost about 24.7%, the total distance about 6.8% and the CO2 emissions about 8.8%. In real world application for 6 months from July to December 2010, the model reduced the transportation cost about 9.1% by changing the long-term transportation route without daily vehicle assignment planning.

Conceptual Design Strategy of Renewable Energy Application for Building Certification and Mandatory System (신재생에너지설비 건물설치 의무화 및 인증제를 고려한 용량설계 방안)

  • Lee, Kyoung-Ho;Lee, Dong-Won;Kown, Hyeok-Min;Lee, Chang-Jun
    • 한국태양에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.99-104
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    • 2011
  • This paper describes a design strategy at conceptual design stage using RETScreen software tool for building application of renewable energy resources. Currently, government and public buildings are required to adopt renewable energy systems with a minimum requirement for the amount of renewable energy supply. Meanwhile, there is a certificate program for private office buildings to enhance propagation of renewable energy systems. When considering application of renewable energy systems to a building, it is worthwhile developing a method to determine optimal design sizes of renewable energy systems. In the paper, a design strategy is introduced with a couple of case studies to determine optimal capacities of each renewable energy system in a building and suggest to use the method to evaluate the system for the building certificate program and the mandatory renewable target program. Objective functions considered in the study are initial system cost and reduction of CO2 emissions from the system. In the optimization study, it is assumed that solar thermal collectors are installed to satisfy solar fraction of 60%. Other renewable energy systems such as ground-source heat pump, solar PV and non-renewable systems such as electric chiller and gas-fired boiler are sized using an optimal sizing method with RETScreen suggested the authors previously.

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A Study on the Optimal Process Design of Cryogenic Air Separation Unit for Oxy-Fuel Combustion (순산소 연소를 위한 초저온 공기분리장치의 최적공정 설계 연구)

  • Choi, Hyeung-Chul;Moon, Hung-Man;Cho, Jung-ho
    • Korean Chemical Engineering Research
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    • v.56 no.5
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    • pp.647-654
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    • 2018
  • In order to solve the global warming and reduce greenhouse gas emissions, it has been developed the $CO_2$ capture technology by oxy-fuel combustion. But there is a problem that the economic efficiency is low because the oxygen production cost is high. ASU (Air Separation Unit) is known to be most suitable method for producing large capacity of oxygen (>2,000 tpd). But most of them are optimized for high purity (>99.5%) oxygen production. If the ASU process is optimized for low purity(90~97%) oxygen producing, it is possible to reduce the production cost of oxygen by improving the process efficiency. In this study, the process analysis and comparative evaluation was conducted for developing large capacity ASU for oxy-fuel combustion. The process efficiency was evaluated by calculating the recovery rate and power consumption according to the oxygen purity using the AspenHysys. As a result, it confirmed that the optimal purity of oxygen for oxyfuel combustion is 95%, and the power consumption can be reduced by process optimization to 12~18%.

Active Distribution System Planning for Low-carbon Objective using Cuckoo Search Algorithm

  • Zeng, Bo;Zhang, Jianhua;Zhang, Yuying;Yang, Xu;Dong, Jun;Liu, Wenxia
    • Journal of Electrical Engineering and Technology
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    • v.9 no.2
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    • pp.433-440
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    • 2014
  • In this study, a method for the low-carbon active distribution system (ADS) planning is proposed. It takes into account the impacts of both network capacity and demand correlation to the renewable energy accommodation, and incorporates demand response (DR) as an available resource in the ADS planning. The problem is formulated as a mixed integer nonlinear programming model, whereby the optimal allocation of renewable energy sources and the design of DR contract (i.e. payment incentives and default penalties) are determined simultaneously, in order to achieve the minimization of total cost and $CO_2$ emissions subjected to the system constraints. The uncertainties that involved are also considered by using the scenario synthesis method with the improved Taguchi's orthogonal array testing for reducing information redundancy. A novel cuckoo search (CS) is applied for the planning optimization. The case study results confirm the effectiveness and superiority of the proposed method.