In today’s world, carbon-based materials research is much wider wherein, it requires a lot of processing techniques to manufacture or synthesize. Moreover, the processing methods through which the carbon-based materials are derived from synthetic sources are of high cost. Processing of such hierarchical porous carbon materials (PCMs) was slightly complex and only very few methods render carbon nano-materials (CNMs) with high specific surface area. Once it is processed, which paves a path to versatile applications. CNMs derived from biological sources are widespread and their application spectrum is also very wide. This review focuses on biomass-derived CNMs from various plant sources for its versatile applications. The major thrust areas of energy storage include batteries, super-capacitors, and fuel cells which are described in this article. Meanwhile, the challenges faced during the processing of biomass-derived CNMs and their future prospects are also discussed comprehensively.

본 연구에서는 중국 북동지역에서 발생하는 산불에 의한 생체연소 배출물이 장거리 수송으로 한국의 미세먼지 질량농도에 미치는 영향을 WRF-Chem 모델을 활용하여 분석하였다. 2020년 4월 4-7일에 한국은 중국 북동지역의 생체 연소 배출물과 더불어 중국 동부지역의 인위적 배출과 중국 북부와 몽골에서 발생한 황사의 영향을 함께 받고 있었다. 인위적 배출과 황사가 혼재된 대기오염 상황에서 zero-out 방법을 활용하여 생체연소 배출물을 분류하고 미세먼지 장거 리 수송 기여도를 분석하였다. 또한, 광역적인 생체연소 배출물의 분포에 따라 한반도 주변의 육지와 해양에 대한 복사 에너지 수지를 분석하였다. 2020년 4월 5-6일에는 한국의 하루평균 미세먼지 질량농도에 대한 생체연소 배출물의 장거리 수송 기여도가 60%로 산출되었다. 더불어 한반도 주변에 광역적으로 분포하는 생체연소 배출물의 영향으로 육지와 해양의 순 복사 플럭스는 음의 값을 나타내었다. 그러나 2020년 4월 7-8일에는 중국 동부지역에서 발생한 인위적 오염 물질이 생체연소 배출물에 더해지면서 한국의 미세먼지 질량농도는 4월 5-6일보다 증가하였으나 생체연소 배출물의 기 여도는 45% 이하로 감소하였다. 또한, 생체연소 배출물의 영향이 줄어들면서 순 복사 플럭스는 양의 값을 나타내었다.

Energy is a major input for overall socio-economic development. With fossil fuels expected to get exhausted in another 40 years or so, renewable sources of energy have emerged as an alternative to fossil fuels. India with an area of almost 328 million hectares is the 7th largest country in the world producing 450-500 million tonnes of biomass per year as per EAI. As per a recent report almost 200 million tonnes of household and agro processing waste annually generated in India are disposed-off in a dispersed manner. Also, there are about 63 million ha waste land in the country, out of which about 40 million ha area can be developed for use. Additionally Urban, municipal and industrial wastes alone have a roughly 1700 MW potential of cheap and affordable power generation. The research work illustrates a specific case for North East India as to how this can be achieved through an innovative entrepreneurial approach for generation of green energy from biomass waste.

In biomass gasification, efficiency of energy quantification is a difficult part without finishing the process. In this article, a radial basis function neural network (RBFN) is proposed to predict biomass efficiency before gasification. RBFN will be compared with a principal component regression (PCR) and a multilayer perceptron neural network (MLPN). Due to the high dimensionality of data, principal component transform is first used in PCR and afterwards, ordinary regression is applied to selected principal components for modeling. Multilayer perceptron neural network (MLPN) is also used without any preprocessing. For this research, 3 wood samples and 3 other feedstock are used and they are near infrared (NIR) spectrum data with high-dimensionality. Ash and char are used as response variables. The comparison results of two responses will be shown.

본 연구는 바이오매스에 기인한 에너지와 관련하여, 첨부된 문헌에 의하여 작성되었으며, 바이오에탄올, 바이오디젤 및 바이오가스에 대하여 본 논문을 작성하게 된 배경, 제조공정, 각국의 생산량, 시장현황, 규격 및 정책을 다루었다. 이 논문은 바이오 에너지와 관련하여 전반적인 지식과 장차 바람직한 방향을 모색하는 데에 도움을 줄 것이다. 바이오에너지는 신재생에너지로서 유용한 에너지이며, 다각도로 활용 방안을 모색하여야 한다. 결론에 현재의 상황을 고려하여 몇가지 방향을 제시하였다.

Biomass resources might be recognized as a promising way to alter fossil fuels, such as petroleum oil, natural gas and coal and to prevent the emission of greenhouse gases which will bring about global warming. Therefore many countries have tried to identify and secure available biomass resources. In this study, the energy potential of Korean biomass resources, such as agricultural biomass wastes, municipal solid wastes, and livestock wastes, was analyzed and calculated by using various data. The available energy potential in 5 major cities in Korea was over 3.5 M TOE. Especially the municipal solid wastes was over 1.5 M TOE, so the conversion of municipal solid wastes might be easily adopted.