• Title/Summary/Keyword: reduce CO2

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Performance Analysis of Upgrading Process with Amine-Based CO2 Capture Pilot Plant

  • Kwak, No-Sang;Lee, Junghyun;Lee, Dong Woog;Lee, Ji Hyun;Shim, Jae-Goo
    • KEPCO Journal on Electric Power and Energy
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    • v.4 no.1
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    • pp.33-38
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    • 2018
  • This study applied upgrades to the processes of a 10 MW wet amine $CO_2$ capture pilot plant and conducted performance evaluation. The 10 MW $CO_2$ Capture Pilot Plant is a facility that applies 1/50 of the combustion flue gas produced from a 500 MW coal-fired power plant, and is capable of capturing up to 200 tons of $CO_2$. This study aimed to quantitatively measure efficiency improvements of post-combustion $CO_2$ capture facilities resulting from process upgrades to propose reliable data for the first time in Korea. The key components of the process upgrades involve absorber intercooling, lean/rich amine exchanger efficiency improvements, reboiler steam TVR (Thermal Vapor Recompression), and lean amine MVR (Mechanical Vapor Recompression). The components were sequentially applied to test the energy reduction effect of each component. In addition, the performance evaluation was conducted with the absorber $CO_2$ removal efficiency maintained at the performance evaluation standard value proposed by the IEA-GHG ($CO_2$ removal rate: 90%). The absorbent used in the study was the highly efficient KoSol-5 that was developed by KEPCO (Korea Electric Power Corporation). From the performance evaluation results, it was found that the steam consumption (regeneration energy) for the regeneration of the absorbent decreased by $0.38GJ/tonCO_2$ after applying the process upgrades: from $2.93GJ/ton\;CO_2$ to $2.55GJ/tonCO_2$. This study confirmed the excellent performance of the post-combustion wet $CO_2$ capture process developed by KEPCO Research Institute (KEPRI) within KEPCO, and the process upgrades validated in this study are expected to substantially reduce $CO_2$ capture costs when applied in demonstration $CO_2$ capture plants.

Characteristics of film-type crystal growth mechanism of CO2 hydrate (CO2 하이드레이트의 film형 결정성장 거동에 관한 연구)

  • Lee, Hyunju;Kim, Soomin;Lee, Ju-Dong;Kim, Yangdo
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.23 no.2
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    • pp.93-100
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    • 2013
  • Many researches have been carried out to reduce and/or to capture the major global warming gases. Especially, the hydrate formation mechanisms were intensively investigated for carbon dioxide sequestration and storage process applications. In this study, the characteristics of film-type crystal growth mechanism of carbon dioxide hydrate were comprehensively examined. Carbon dioxide hydrate crystal was formed in semi-batch type stir reactor at various pressure conditions while the temperature was fixed to be constant to reduce and minimize the guest gas solubility effects. A supply gas composition was 99.999 % of Carbon dioxide, the observation data was collected by optical microscope adopted CCD camera (Nikon DS-5M/Fi1/2M-U2). This study revealed that the guest gas pressure changes significantly altered the crystal growth mechanism and film growth rate of carbon dioxide hydrate crystal. The critical pressure of the carbon dioxide hydrate of crystal growth mechanism change was found to be 2.0 MPa. The capillary force and gas concentration gradient also significantly changed the film-type crystal growth mechanism of carbon dioxide hydrate crystal.

Energy Efficiency and CO2 Emissions of the Transportation System of Kazakhstan: A Case of Almaty

  • Yessekina, Aiman;Urpekova, Amina
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.3
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    • pp.41-46
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    • 2015
  • Energy saving in the transport sector in the framework of the annual growth of energy consumption, the degree of negative impact on the environment and the amount of harmful emissions are becoming increasingly important. The article considers the world tendencies of energy consumption in transportation sector and emphasizes its dependency from oil. Also article describes the dynamics of energy use and CO2 emissions from transport of city Almaty. In conclusion authors identify a number of problems in the transport sector, which hinder the implementation of energy efficiency measures and measures to reduce CO2 emissions.

CO$_2$ Absorption/Regeneration of Sodium-based Dry Sorbent and the Effect of SO$_2$ Concentration (Sodium계 건식흡수제의 CO$_2$ 흡수/재생 및 SO$_2$ 농도의 영향)

  • Kang, Seung-Yub;Cho, Ki-Chul;Lee, Gou-Hong;Oh, Kwang-Joong
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.2
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    • pp.225-233
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    • 2008
  • Accoring to the worldwide interest to control CO$_2$ which contributes to global warming 50%, new techniques to reduce CO$_2$ are under development. Therefore, this study investigated that CO$_2$ absorption/regeneration of Sodium-based dry sorbent and the effect of SO$_2$ concentration in the fixed bed reactor. The dry sorbents were prepared in the condition of different PVA contents and calcination temperatures. As the results of this study, BET surface area showed 832.79 m$^2$/g and SEM result showed possibility as dry sorbent due to having of much micropore distribution. Also, the fixed bed reactor showed decreased CO$_2$ absorption capacity with SO$_2$ injection, because of the generation of $Na_2SO_3$ and $Na_2SO_4$.

Technologies for the Removal of Water Hardness and Scaling Prevention

  • Ahn, Min Kyung;Han, Choon
    • Journal of Energy Engineering
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    • v.26 no.2
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    • pp.73-79
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    • 2017
  • In nucleation assisted crystallization process formed $CO_2$ leaves as colloid gas and is used as the template by the rapidly growing crystals in the nucleation site. This emulsion of $CaCO_3$ micro-crystals & $CO_2$ micro-bubbles forms hollow particles. Formed hollow particles are double walled, both internal and external faces belonging to the cleavage aragonites which separate the surrounding water from the enclosed gas cavity. Hence, the reverse reaction of $CO_2$ with water forming Carbonic Acid is not possible and the pH stability is maintained. In fact every excess $CaCO_3$ crystals are buffering any carbonic acid left over. This $CO_2$ based nucleation technology prevents scale formation in water channels, but it also helps to reduce the previously formed scales. This process takes out water dissolved $CO_2$ in almost-visible micro-bubbles forms that helps reducing previously formed scale over a period of time (depends on the usage period). The aragonite crystals can't form scale because of its stable molecular structure and neutral surface electro potentiality.

Effect of Fuels on $CO_2$ Emission in CVS-75 Mode (CVS-75모드에서 사용연료에 따른 자동차의 이산화탄소 배출특성)

  • Kim, Yong-Tae;Lee, Ho-Kil;Kang, Jung-Ho;Chung, Jae-Woo;Chung, Yon-Jong
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.4
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    • pp.72-78
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    • 2009
  • The regulation for $CO_2$ emissions from vehicles have become much more stringent in recent years. These more stringent regulations request vehicle manufacturers to develop alternative fuels to reduce exhaust emissions. In this paper, $CO_2$ emission of gasoline, diesel and LPG vehicles in the CVS-75mode is analyzed. The experimental results indicated that the cold starting acceleration period of $CO_2$ emission was much longer compared to the hot start acceleration period. For example, gasoline vehicle and LPG fuel vehicle had 21% higher $CO_2$ emission and diesel vehicle had 34% higher $CO_2$ emission.

Prediction of carbon dioxide emissions based on principal component analysis with regularized extreme learning machine: The case of China

  • Sun, Wei;Sun, Jingyi
    • Environmental Engineering Research
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    • v.22 no.3
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    • pp.302-311
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    • 2017
  • Nowadays, with the burgeoning development of economy, $CO_2$ emissions increase rapidly in China. It has become a common concern to seek effective methods to forecast $CO_2$ emissions and put forward the targeted reduction measures. This paper proposes a novel hybrid model combined principal component analysis (PCA) with regularized extreme learning machine (RELM) to make $CO_2$ emissions prediction based on the data from 1978 to 2014 in China. First eleven variables are selected on the basis of Pearson coefficient test. Partial autocorrelation function (PACF) is utilized to determine the lag phases of historical $CO_2$ emissions so as to improve the rationality of input selection. Then PCA is employed to reduce the dimensionality of the influential factors. Finally RELM is applied to forecast $CO_2$ emissions. According to the modeling results, the proposed model outperforms a single RELM model, extreme learning machine (ELM), back propagation neural network (BPNN), GM(1,1) and Logistic model in terms of errors. Moreover, it can be clearly seen that ELM-based approaches save more computing time than BPNN. Therefore the developed model is a promising technique in terms of forecasting accuracy and computing efficiency for $CO_2$ emission prediction.

Assessment of CO2 Emissions of Eco-friendly Lightweight Form in the Construction Process (시공단계에서의 친환경 경량 거푸집 탄소배출량 평가)

  • Kang, Sin Hun;Ahn, Hee-Jae;Lee, Chang-Su;Lee, Dongmin;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.11a
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    • pp.10-11
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    • 2019
  • The purpose of this study is to validate the environmental performance of the 'eco-friendly lightweight form' in the construction process. Unlike existing euro form and aluminum form, the proposed form does not require form oil during the process of concrete casting and is lightweight because it is made of engineering plastic. Therefore, eco-friendly lightweight form will reduce the $CO_2$ emissions in the construction process. To verify the hypothesis, the study compared existing forms and eco-friendly light weight form's $CO_2$ emissions in each stage in construction process when using 1,000 forms and 100 times from the LCI(Life Cycle Inventory) data. The total $CO_2$ emissions of the eco-friendly light weight form were 30,487kg $CO_2$, which equated to about 58% and 20% less emissions than the euroform and aluminum form. The result of the study verified that the eco-friendly lightweight form was effectively reduced $CO_2$ emission in the construction process.

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Onboard CO2 Capture Process Design using Rigorous Rate-based Model

  • Jung, Jongyeon;Seo, Yutaek
    • Journal of Ocean Engineering and Technology
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    • v.36 no.3
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    • pp.168-180
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    • 2022
  • The IMO has decided to proceed with the early introduction of EEDI Phase 3, a CO2 emission regulation to prevent global warming. Measures to reduce CO2 emissions for ships that can be applied immediately are required to achieve CO2 reduction. We set six different CO2 emission scenarios according to the type of ship and fuel, and designed a monoethanolamine-based CO2 capture process for ships using a rate-based model of Aspen Plus v10. The simulation model using Aspen Plus was validated using pilot plant operation data. A ship inevitably tilts during operation, and the performance of a tilted column decreases as its height increases. When configuring the conventional CO2 capture process, we considered that the required column heights were so high that performance degradation was unavoidable when the process was implemented on a ship. We applied a parallel column concept to lower the column height and to enable easy installation and operation on a ship. Simulations of the parallel column confirmed that the required column height was lowered to less than 3 TEU (7.8 m).

An analysis on CO2 emission of structural steel materials by strength using Input-Output LCA (산업연관분석법을 이용한 강도에 따른 구조용 강재의 이산화탄소 배출량 데이터 구축)

  • Hong, Tae-Hoon;Ji, Chang-Yoon;Jang, Min-Ho
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.4
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    • pp.132-140
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    • 2012
  • Along with the increasing interest in environmental problems such as global warming, the South Korean government has established policies and regulations to reduce the amount of greenhouse gases, targeting a 30% reduction of $CO_2$ compared to business-as-usual levels by 2020. Thus, there have been many studies in construction field to control and reduce the amount of $CO_2$ emitted from buildings. $CO_2$ emission from the building construction could be obtained by using the life cycle assessment(LCA) methodology. In LCA, it is essential to have life cycle inventory(LCI) data of construction materials consisting of $CO_2$ emission data that have been defined and examined in a detailed way in order to obtain more accurate and detailed $CO_2$ emission of buildings. To date, however, the LCI data have been acquired only for the representative materials. Accordingly this study aimed to propose detailed $CO_2$ emission data for steel rebar and H-beam, which are the essential structural steel materials, by strength and type. To accomplish the objective, this study used Input-Output LCA methodology which is based on the Input-Output table. It is believed that the $CO_2$ emission data of steel materials acquired from this study would allow a more accurate assessment of $CO_2$ emission for diverse structural design alternatives.