• Title/Summary/Keyword: Green process engineering

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Prediction of Axial Solid Holdups in a CFB Riser

  • Park, Sang-Soon;Chae, Ho-Jeong;Kim, Tae-Wan;Jeong, Kwang-Eun;Kim, Chul-Ung;Jeong, Soon-Yong;Lim, JongHun;Park, Young-Kwon;Lee, Dong Hyun
    • Korean Chemical Engineering Research
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    • v.56 no.6
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    • pp.878-883
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    • 2018
  • A circulating fluidized bed (CFB) has been used in various chemical industries because of good heat and mass transfer. In addition, the methanol to olefins (MTO) process requiring the CFB reactor has attracted a great deal of interest due to steep increase of oil price. To design a CFB reactor for MTO pilot process, therefore, we has examined the hydrodynamic properties of spherical catalysts with different particle size and developed a correlation equation to predict catalyst holdup in a riser of CFB reactor. The hydrodynamics of micro-spherical catalysts with average particle size of 53, 90 and 140 mm was evaluated in a $0.025m-ID{\times}4m-high$ CFB riser. We also developed a model described by a decay coefficient to predict solid hold-up distribution in the riser. The decay coefficient developed in this study could be expressed as a function of Froude number and dimensionless velocity ratio. This model could predict well the experimental data obtained from this work.

Investigation of Firing Conditions for Optimizing Aluminum-Doped p+-layer of Crystalline Silicon Solar Cells

  • Lee, Sang Hee;Lee, Doo Won;Shin, Eun Gu;Lee, Soo Hong
    • Current Photovoltaic Research
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    • v.4 no.1
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    • pp.12-15
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    • 2016
  • Screen printing technique followed by firing has commonly been used as metallization for both laboratory and industrial based solar cells. In the solar cell industry, the firing process is usually conducted in a belt furnace and needs to be optimized for fabricating high efficiency solar cells. The printed-Al layer on the silicon is rapidly heated at over $800^{\circ}C$ which forms a layer of back surface field (BSF) between Si-Al interfaces. The BSF layer forms $p-p^+$ structure on the rear side of cells and lower rear surface recombination velocity (SRV). To have low SRV, deep $p^+$ layer and uniform junction formation are required. In this experiment, firing process was carried out by using conventional tube furnace with $N_2$ gas atmosphere to optimize $V_{oc}$ of laboratory cells. To measure the thickness of BSF layer, selective etching was conducted by using a solution composed of hydrogen fluoride, nitric acid and acetic acid. The $V_{oc}$ and pseudo efficiency were measured by Suns-$V_{oc}$ to compare cell properties with varied firing condition.

A Framework of Building Knowledge Representation for Sustainability Rating in BIM

  • Shahaboddin Hashemi Toroghi;Tang-Hung. Nguyen;Jin-Lee. Kim
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.437-443
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    • 2013
  • Recently, sustainable building design, a growing field within architectural design, has been emerged in the construction industry as the practice of designing, constructing, and operating facilities in such a manner that their environmental impact, which has become a great concern of construction professionals, can be minimized. A number of different green rating systems have been developed to help assess that a building project is designed and built using strategies intended to minimize or eliminate its impact on the environment. In the United States, the widely accepted national standards for sustainable building design are known as the LEED (Leadership in Energy and Environmental Design) Green Building Rating System. The assessment of sustainability using the LEED green rating system is a challenging and time-consuming work due to its complicated process. In effect, the LEED green rating system awards points for satisfying specified green building criteria into five major categories: sustainable sites, water efficiency, energy and atmosphere, materials and resources, and indoor environmental quality; and sustainability of a project is rated by accumulating scores (100 points maximum) from these five major categories. The sustainability rating process could be accelerated and facilitated by using computer technology such as BIM (Building Information Modeling), an innovative new approach to building design, engineering, and construction management that has been widely used in the construction industry. BIM is defined as a model-based technology linked with a database of project information, which can be accessed, manipulated, and retrieved for construction estimating, scheduling, project management, as well as sustainability rating. This paper will present a framework representing the building knowledge contained in the LEED green building criteria. The proposed building knowledge framework will be implemented into a BIM platform (e.g. Autodesk Revit Architecture) in which sustainability rating of a building design can be automatically performed. The development of the automated sustainability rating system and the results of its implementation will be discussed.

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A Combined Fuzzy AHP and BSC Model based Green Supplier Selection Problem (Fuzzy AHP와 BSC 결합모델기반의 Green Supplier 선정 문제)

  • Seo, Kwang-Kyu
    • Journal of the Korea Safety Management & Science
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    • v.13 no.3
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    • pp.63-69
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    • 2011
  • As environmental protection is becoming more and more important, green production has become a key issue for almost every manufacturer and will determine a manufacturer can be sustainable in the long term. Therefore a performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. The objective of this study is to construct a combined model based on fuzzy analytic hierarchy process (FAHP) and balanced scorecard (ESC) for evaluating green suppliers in the manufacturing industry. The ESC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is finally constructed to facilitate the solving process. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

Investigations of the Boron Diffusion Process for n-type Mono-Crystalline Silicon Substrates and Ni/Cu Plated Solar Cell Fabrication

  • Lee, Sunyong;Rehman, Atteq ur;Shin, Eun Gu;Lee, Soo Hong
    • Current Photovoltaic Research
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    • v.2 no.4
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    • pp.147-151
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    • 2014
  • A boron doping process using a boron tri-bromide ($BBr_3$) as a boron source was applied to form a $p^+$ emitter layer on an n-type mono-crystalline CZ substrate. Nitrogen ($N_2$) gas as an additive of the diffusion process was varied in order to study the variations in sheet resistance and the uniformity of doped layer. The flow rate of $N_2$ gas flow was changed in the range 3 slm~10 slm. The sheet resistance uniformity however was found to be variable with the variation of the $N_2$ flow rate. The optimal flow rate for $N_2$ gas was found to be 4 slm, resulting in a sheet resistance value of $50{\Omega}/sq$ and having a uniformity of less than 10%. The process temperature was also varied in order to study its influence on the sheet resistance and minority carrier lifetimes. A higher lifetime value of $1727.72{\mu}s$ was achieved for the emitter having $51.74{\Omega}/sq$ sheet resistances. The thickness of the boron rich layer (BRL) was found to increase with the increase in the process temperature and a decrease in the sheet resistance was observed with the increase in the process temperature. Furthermore, a passivated emitter solar cell (PESC) type solar cell structure comprised of a boron doped emitter and phosphorus doped back surface field (BSF) having Ni/Cu contacts yielding 15.32% efficiency is fabricated.

A Study on Problems and Improvement for G-SEED of Evaluation System through Investigating Transition Process of Overseas Green Building Certification Criterion - Focused on Apartment - (국내외 친환경 건축물 인증제도의 변천과정 고찰을 통한 G-SEED의 평가 체계 개선방안 연구 - 공동주택을 중심으로 -)

  • Park, Jae-Han;Cha, Gi-Wook;Hong, Won-Hwa
    • Journal of the Korean housing association
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    • v.24 no.5
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    • pp.69-76
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    • 2013
  • The seriousness of greenhouse gas exhaustions and energy use of the building has increased, the world is making an effort with many requests and the consultation for sustainable development. For this reason, Green Building Certification Criteria has been implemented to reduce environmental load, high-performance and environmentally friendly in the United States, the United Kingdom and Germany. In response to the global trend like this, the Korean Government has induced the eco-friendly construction and sustainable development to implement the G-SEED (Green Building Certification Criteria of Korea) in 2002. However, in spite of the many authentication result, G-SEED has been pointed out that it needs for improve in the evaluation system of Apartment sector which accounts for more than 40% of the authentication. Therefore, the purpose of this study is to suggest improvements in the evaluation system. To achieve this, this study have selected for LEED, BREEAM, DGNB of comparison target, drawn improvements through comparing transition process in G-SEED.

A Comparison Study on Supplier and Green Supplier Selection Problems using Fuzzy AHP and BSC (Fuzzy AHP와 BSC를 이용한 공급자와 그린 공급자 선정 문제의 비교 연구)

  • Seo, Kwang-Kyu
    • Journal of the Korea Safety Management & Science
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    • v.13 no.4
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    • pp.117-124
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    • 2011
  • Supplier selection is one of the most important activities of a company. This importance is increased even more by new strategies in a supply chain, because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer's company. In addition, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer. Therefore a performance evaluation system for supplier and green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. Supplier and green supplier selection is a multiple criteria decision making problem in which the objectives are not equally important. In practice, vagueness and imprecision of the goals, constraints and parameters in these problems make the decision making complicated. The objective of this study is to construct a decision-making process using fuzzy analytic hierarchy process (FAHP) and balanced scorecard (BSC) for evaluating supplier and green suppliers in the manufacturing industry. The BSC concept is applied to define the hierarchy with four major perspectives and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is applied to facilitate the solving process. With the proposed approach, manufacturers can have a better understanding of the capabilities that supplier and green supplier must possess and can evaluate and select the most suitable supplier for cooperation.

Implementation and Performance Evaluation of a Firm's Green Supply Chain Management under Uncertainty

  • Lin, Yuanhsu;Tseng, Ming-Lang;Chiu, Anthony S.F.;Wang, Ray
    • Industrial Engineering and Management Systems
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    • v.13 no.1
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    • pp.15-28
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    • 2014
  • Evaluation of the implementation and performance of a firm's green supply chain management (GSCM) is an ongoing process. Balanced scorecard is a multi-criteria evaluation concept that highlights implementation and performance measures. The literature on the framework is abundant literature but scarce on how to build a hierarchical framework under uncertainty with dependence relations. Hence, this study proposes a hybrid approach, which includes applied interpretive structural modeling to build a hierarchical structure and uses the analytic network process to analyze the dependence relations. Additionally, this study applies the fuzzy set theory to determine linguistic preferences. Twenty dependence criteria are evaluated for a GSCM implemented firm in Taiwan. The result shows that the financial aspect and life cycle assessment are the most important performance and weighted criteria.

Development of microfluidic green algae cell counter based on deep learning (딥러닝 기반 녹조 세포 계수 미세 유체 기기 개발)

  • Cho, Seongsu;Shin, Seonghun;Sim, Jaemin;Lee, Jinkee
    • Journal of the Korean Society of Visualization
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    • v.19 no.2
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    • pp.41-47
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    • 2021
  • River and stream are the important water supply source in our lives. Eutrophication causes excessive green algae growth including microcystis, which makes harmful to ecosystem and human health. Therefore, the water purification process to remove green algae is essential. In Korea, green algae alarm system exists depending on the concentration of green algae cells in river or stream. To maintain the growth amount under control, green algae monitoring system is being used. However, the unmanned, small and automatic monitoring system would be preferable. In this study, we developed the 3D printed device to measure the concentration of green algae cell using microfluidic droplet generator and deep learning. Deep learning network was trained by using transfer learning through pre-trained deep learning network. This newly developed microfluidic cell counter has sufficient accuracy to be possibly applicable to green algae alarm system.