• Transactions of the Korean hydrogen and new energy society
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• v.19 no.3
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• pp.260-265
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• 2008

As one of renewable energy sources, biomass is playing a major role in reducing the greenhouse gas emission in the UK. The country currently produces about 4.5% (18.1TWh in 2006) of the total electricity generation from renewables, where biomass-based sources accounts for 50% of the amount and the remainder mostly from hydro and windpower. In 2007, the UK government has announced its new energy policy through the Energy White Paper, which includes an ambitious national target of 60% cuts in carbon emission by 2050. Complementary strategic plans in key renewable energy technologies accompanied the Energy White Paper, including biomass strategy, waste strategy and low carbon transportation strategy. This paper summarizes the current status and policy of UK for renewable energy production with focus on the use of biomass and bioenergy.

• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.598-601
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• 2007

셀룰로오스, 헤미셀룰로오스, 리그닌으로 구성된 목질계 바이오매스를 이용한 가스화의 경우 30%의 리그닌 성분이 열에 안정한 상태인 타르로 형성되면서 가스화 후단공정에서의 정제, 발전 등에 직접 사용하기 어려우며, 가스화 효율을 저하시키는 원인이 된다. 이의 문제 해결을 위하여 본 연구에서는 촉매를 이용한 수증기 개질 반응을 통하여 타르를 합성가스로 개질시킬 수 있는 방법을 모색하기 위하여 다양한 온도, 촉매, 스팀 주입량 및 촉매크기에 따른 전환율, 생성가스 특성을 알아보았다. 타르 대상 물질로는 타르 내 상당부분을 차지하고 있는 톨루엔을 이용하였다. 일반적으로 반응온도, 스팀 주입량이 증가할수록 수소 생성량이 증가하였으며, 지르코니아로 증진된 니켈 촉매의 경우 600$^{\cdot}C$ 에서도 100%의 높은 전환율을 보였다. 일반적인 가스화기에서 배출되는 타르의 농도보다 10배 높은 조건에서도 100%의 높은 전환율을 얻을 수 있었으며, 이를 통하여 실제 공정으로의 적용시에도 후단 공정의 부담을 줄일 수 있는 개질기로 적용 가능할 것으로 보인다.

• Magazine of the Korean Society of Agricultural Engineers
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• v.60 no.1
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• pp.27-35
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• 2018

• Journal of Energy Engineering
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• v.22 no.3
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• pp.250-261
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• 2013

In order to overcome the 21st century's challenges such as national energy supply security, global warming, and resource depletion, we are struggling to accelerate the paradigm shift in our life style from fossil fuel-based economy to biomass-based economy. In the context of sustainable bioeconomy revitalization, we comprehensively review the development status of the biorefinery as a system for bioenergy/biochemicals co-products on the basis of the various categories according to six criteria.

• Proceedings of the Korea Forestry Energy Research Society Conference
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• 2011.02a
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• pp.127-129
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• 2011

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.166-173
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• 2008

Recently, problem of earth environment being attended with international issue, people are concerned about the environmentally-friendly and renewable biomass energy. Especially, the forest biomass is more important because Korea have to control carbon footprint for Kyoto Protocol and Convention on Climate Change. In case of Korea, forest area covers the land about 2/3 of all country. It is needed that more economical and efficient method to estimate the biomass by remote sensing data which include wide coverage and is progressed by one-step. In this study, we estimate forest biomass with LiDAR data and aerial photograph. Three biomass equation is used and estimate mean biomass of single tree and entire biomass in plots. The results are compared with field data. $R^2$ of the mean biomass of single tree is greater than 0.8 and that of entire biomass in plots is greater than 0.65. In conclusion, the method using remote sensing data is verified more economical and efficient than previous field data method.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.176.1-176.1
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• 2011

세계적으로 석유 기반 자원의 고갈에 따른 부족, 기후변화협약 및 환경규제 강화에 의해 세계적으로 바이오소재를 이용하고자 하는 연구와 더불어 유리강화복합재료의 대체물질로 적합한 천연섬유를 보강재로 사용하는 바이오복합재료의 연구 또한 활발하게 진행되고 있다. 최근 새로운 신재생에너지원으로 각광 받고 있는 바이오에너지 중 해조류는 가장 자연친화적이고 생산력이 뛰어난 바이오매스로 알려져 있다. 해조류는 바닷물 속에 녹아 있는 탄소를 흡수할 뿐만 아니라 광합성을 통해서도 탄소를 흡수하면서 성장하기 때문에 탄소흡수원의 역할을 하게 되며, 해조류 바이오에너지를 생산할 경우 화석연료를 대체하여 지구온난화의 주범인 온실가스를 감축하는 기능을 한다. 본 연구에서는 해조류를 이용한 바이오에너지 생산 공정에서 2차적으로 발생하는 부산물을 보강재로 사용한 바이오복합재료의 제조와 제조된 바이오복합재료의 열적 특성 및 동역학적 특성을 분석하였다. 해조류 부산물의 화학적 전처리에 따른 Thermogravimetric analysis(TGA) 분석 결과로 cellulose 함량이 가장 높고 불순물이 적은 황산 처리한 파래를 이용해 파래/Polypropylene(PP) 바이오복합재료를 다양한 보강비율 (20-50wt%)로 압축성형 하였다. 파래/PP 바이오복합재료의 저장탄성률은 파래 함량이 40wt%일 때 4.0 Gpa으로 최대값을 보였으며 이는 PP 매트릭스와 비교했을 때 약 8.1% 향상된 결과이다. 파래/PP 바이오보합재료의 열팽창 특성은 파래 함량이 증가함에 따라 열팽창계수가 낮아지는 경향으로 50wt%일 때 가장 낮은 값을 나타내었으며 이는 PP 매트릭스와 비교했을 때 약 56% 향상된 결과이다. 따라서 비생분해성 고분자에 새로운 신재생 바이오매스인 해조류를 보강재로 사용하여 열적 특성 및 동역학적 특성이 향상된 친환경적인 바이오복합재료의 제조 가능성을 확인하였다.

• Journal of the Korea Organic Resources Recycling Association
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• v.22 no.2
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• pp.11-16
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• 2014

Korea is the urgent need to diversify the bio-energy raw materials because we have narrow area of land cultivated plants and lack the bio-mass resources. Using a resource-rich the marine environment enclosed on three sides by the sea. Through bio-energy production-technical and carbon dioxide reduction measures which will be a very effective alternative. Sustainable development about algae bio-energize industry through SSaM-GG(Smart, Shared and Mutual-Green, Growth) is expected. Algae has high carbon dioxide absorption factor, extracting oil from algae is thirty times much more than sunflower.

• Journal of the Korean Institute of Gas
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• v.24 no.5
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• pp.65-73
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• 2020

To reduce the hydrogen production cost through the utilizing the oxygen and improving the capacity factor of water electrolysis used to energy storage of renewable energy, the hybrid hydrogen production process which has dual operating concept of using the water electrolysis as energy storage and oxygen production process for biomass gasification was proposed. Moreover, Techno-economic analysis on this system was quantitatively performed.

• Clean Technology
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• v.18 no.1
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• pp.31-37
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• 2012

Biomass has become a major feedstock for bioenergy and other bio-based products because of its renewability and environmental benefits. Various researches have been done in the prediction of crucial characteristics of biomass, including the active utilization of spectroscopy data. Near infrared (NIR) spectroscopy has been widely used because of its attractive features: it's non-destructive and cost-effective producing fast and reliable analysis results. This work developed the multivariate statistical scheme for predicting weight loss profiles based on the utilization of NIR spectra data measured for six lignocellulosic biomass types. Wavelet analysis was used as a compression tool to suppress irrelevant noise and to select features or wavelengths that better explain NIR data. The developed scheme was demonstrated using real NIR data sets, in which different prediction models were evaluated in terms of prediction performance. In addition, the benefits of using right pretreatment of NIR spectra were also given. In our case, it turned out that compression of high-dimensional NIR spectra by wavelet and then PLS modeling yielded more reliable prediction results without handling full set of noisy data. This work showed that the developed scheme can be easily applied for rapid analysis of biomass.