• Cross-Cultural Studies
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• v.39
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• pp.461-484
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• 2015

Wangyun is a prominent scholar in the Qing dynasty. Shuowenshili is his masterpiece study of Shuowenjiezi. Shuowenshili discusses the difference between Fenbiewen and Leizengzi. It emphasizes that meanings to a word tends to help express more exactly. Wangyun's discussion about Gujinzi refers to the phenomenon that in order to recode a word different characters used in different periods. Wangyun's use of Gujinzi is based on the purpose to explain the relationship between characters. Fenbiewen and Leizengzi are specialized term of characters evolution. Wangyun's theory of Fenbiewen, Leizengzi and Gujinzi is the most important linguistics found. He was generous contributions to the linguistics of China. In particular, understanding the meaning and development of Chinese character.

• Transactions of the Korean hydrogen and new energy society
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• v.32 no.5
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• pp.417-429
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• 2021

Due to fossil fuel depletion and environmental pollution, H2 production from organic waste has received an increased attention. In this study, we present an integrated process for the H2 production from biogas and evaluate the economic feasibility and sustainability via rigorous techno-economic analysis (TEA) and life-cycle assessment (LCA). Through the TEA, we determine the minimum H2 selling price using discounted cash flow analysis and investigate the main cost drivers. The environmental impact of the proposed process is quantified via LCA.

• Transactions of the Korean hydrogen and new energy society
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• v.32 no.6
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• pp.618-635
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• 2021

Environmental issues caused by our dependence on fossil fuels have caused our society to move toward new renewable sources of energy and chemicals. In this study, we develop an integrated process that co-produces butene oligomer (i.e., biofuels) and 1,3-butadiene (i.e., monomer for the production of synthetic rubber). To minimize utility consumption, we conduct heat integration. Then, we conduct a range of techno-economic analysis and life-cycle assessment to investigate economic and environmental feasibility of the proposed process.

• Korean Chemical Engineering Research
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• v.52 no.5
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• pp.613-619
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• 2014

A flare system is a very important system that crucially affects on the process safety in chemical plants. If a flare system is designed too small, it cannot prevent catastrophic accidents of a chemical plant. On the other hand, if a flare system is designed too large, it will waste resources. Therefore, reasonable relief load estimation has been a crucial issue in the industry. American Petroleum Institute (API) suggests basic guidelines for relief load estimation, and a lot of engineering companies have developed their own relief load estimation methods that use an unbalanced heat and material method. However, these methods have to involve lots of conservative assumptions that lead to an overestimation of relief loads. In this study, the new design procedure for a flare system based on dynamic simulation was proposed in order to avoid the overestimation of relief loads. The relief load of a deethanizer process was tested to verify the performance of the proposed design procedure.

• Korean Chemical Engineering Research
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• v.45 no.1
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• pp.67-72
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• 2007

An efficient method for identification of MIMO state space model has been developed by combining partial least squares (PLS) regression, balanced realization, and balanced truncation. In the developed method, a MIMO system is decomposed into multiple MISO systems each of which is represented by a high-order ARX model and the parameters of the ARX models are estimated by PLS. Then, MISO state space models for respective MISO ARX transfer function are found through realization and combined to a MIMO state space model. Finally, a minimal balanced MIMO state space model is obtained through balanced realization and truncation. The proposed method was applied to the design of model predictive control for temperature control of a high pressure $CO_2$ solubility measurement system.

• Korean Chemical Engineering Research
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• v.46 no.3
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• pp.486-491
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• 2008

This paper describes a model identification method that has been applied to a commercial 12-inch RTP (rapid thermal processing) equipment with an ultimate aim to develop a high-performance advanced controller. Seven thermocouples are attached on the wafer surface and twelve tungsten-halogen lamp groups are used to heat up the wafer. To obtain a MIMO balanced state space model, multiple SIMO (single-input multiple-output) identification with highorder ARX models have been conducted and the resulting models have been combined, transformed and reduced to a MIMO balanced state space model through a balanced truncation technique. The identification experiments were designed to minimize the wafer warpage and an output linearization block has been proposed for compensation of the nonlinearity from the radiation-dominant heat transfer. As a result from the identification at around 600, 700, and $800^{\circ}C$, respectively, it was found that $y=T(K)^2$ and the state dimension of 80-100 are most desirable. With this choice the root-mean-square value of the one-step-ahead temperature prediction error was found to be in the range of 0.125-0.135 K.