• Title/Summary/Keyword: Plant-Based

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A Study on the Development of an Expert System for Chemical Plant Fault Diagnosis - A trouble analyzing system based on Functional Structure - (화학 플랜트의 고장원 탐색 전문가 시스템에 관한 연구 -기능구조에 의한 고장원 탐색 시스템 -)

  • 황규석
    • Journal of the Korean Society of Safety
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    • v.7 no.4
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    • pp.33-43
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    • 1992
  • A methodology to develop an expert system for chemical plant fault diagnosis based on functional-structure of chemical plant is proposed. A methodology to generalize and utilize the heuristic know-edge of plant operators is also developed. A plant can be seen as a Hierarchical set of subsystems. Each subsystem is called a SCOPE. The state of the plant and the behavior of each subsystem is managed by the SCOPES. An expert system based on this functional structure and knowledge base has been developed and ar plied to the subprocess of etylene plant to evaluate the effectiveness of the methodology.

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Development of a Power Plant Simulation Tool with GUI based on General Purpose Design Software

  • Kim Dong Wook;Youn Cheong;Cho Byung-Hak;Son Gihun
    • International Journal of Control, Automation, and Systems
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    • v.3 no.3
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    • pp.493-501
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    • 2005
  • A power plant simulation tool ('PowerSim') has been developed with 10 years experience from the development of a plant simulator for efficient modeling of a power plant. PowerSim is the first developed tool in Korea for plant simulation with various plant component models, instructor station function and the Graphic Model Builder (GMB). PowerSim is composed of a graphic editor using general purpose design software, a netlist converter, component models, the scheduler, Instructor Station and an executive. The graphic editor generates a netlist that shows the connection status of the various plant components from the Simdiagram, which is drawn by Icon Drag method supported by GUI environment of the PowerSim. Netlist Converter normalizes the connection status of the components. Scheduler makes scheduling for the execution of the device models according to the netlist. Therefore, the user makes Simdiagram based on the plant Pipe and Instrument Drawing (P&ID) and inputs the plant data for automatic simulating execution. This paper introduces Graphic Model Builder (GMB), instructor station, executive and the detailed introduction of thermal-hydraulic modeling. This paper will also introduce basic ideas on how the simulation Diagram, based on netlist generated from general purpose design software, is made and how the system is organized. The developed tool has been verified through the simulation of a real power plant.

A Pilot Study of Improving the Atmospheric Environment of Classroom for Students' Learning Activities

  • Kim, Tae-Han;Lee, Hanju;Choi, Boo-Hun;Hyun, Hye Sun
    • Journal of People, Plants, and Environment
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    • v.24 no.2
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    • pp.179-194
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    • 2021
  • Background and objective: Plant-based biofilter system has become a promising candidate for improving indoor air quality due to its eco-friendly and sustainable nature. However, it remains controversial whether indoor air purification using a biofilter is effective. Methods: This study used the one-group pre- and post-test design to analyze the effects of the operation of the plant-based biofilter system on indoor air quality, students' perception of indoor air quality, health effects, and subjective and objective attentiveness. Results: Results of this study show that the application of the plant-based biofilter system changed the air environment in the classroom. The operation of the plant-based biofilter system significantly decreased PM2.5 and PM10 and slightly increased temperature and humidity. Satisfaction with air quality and subjective attentiveness were significantly improved but objective attentiveness and health effects were not improved. Conclusion: Further studies need to be conducted for improving indoor air quality of schools and evaluating the health effects and attention of occupants to present the objective performance of the plant-based biofilter system.

What is on plates for school meals: focusing on animal- vs. plant-based protein foods

  • So-Young Kim;Meeyoung Kim
    • Nutrition Research and Practice
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    • v.17 no.5
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    • pp.1028-1041
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    • 2023
  • BACKGROUND/OBJECTIVES: This study aimed to analyze the potential of school meals in South Korea as a sustainable tool to reduce carbon emissions by focusing on animal- vs. plant-based protein foods. MATERIALS/METHODS: By using a stratified proportional allocation method, 536 out of the 11,082 schools nationwide were selected including 21 kindergartens, 287 elementary-, 120 middle- and 108 high schools. A total of 2,680 meals served for 5 consecutive days (June 21-25, 2021) were collected. We analyzed the average serving amounts of protein foods (animal- vs. plant-based) per meal and then, calculated the estimated average amounts of carbon emission equivalents per meal by applying the conversion coefficients. The t-test and analysis of variance were used for statistical analyses (α = 0.05). RESULTS: The average serving amount of animal-based protein foods per meal was 12.5 g, which was approximately 3 times higher than that of plant-based ones (3.8 g) (P < 0.001); the Meat-group had the highest average amount of 17.0 g, followed by Egg-group (9.6 g), Fish-group (7.6 g), and Beans-and-Nuts-group (3.8 g) (P < 0.05). Specifically, pork (25.1 g) was ranked first, followed by poultry (19.6 g), processed meat products (18.0 g). The estimated average amount of carbon emission equivalents of animal-based protein foods per meal was 80.1 g CO2e, which was approximately 31 times higher than that of plant-based ones (2.6 g CO2e) (P < 0.001); the Meat-group had the highest average amount of 120.3 g CO2e, followed by Fish-group (44.5 g CO2e), Egg-group (25.9 g CO2e), and Beans-and-Nuts-group (2.6 g CO2e) (P < 0.05). Specifically, processed meat products (270.8 g CO2e) were ranked first, followed by pork (91.7 g CO2e), and processed fish products (86.6 g CO2e). CONCLUSIONS: The results implied that school meals with plant-based alternatives could be a sustainable tool to improve carbon footprint.

Development of Plant-Based Milk Analogues as Alternatives to Cow Milk: Current Status and Future Prospects (우유 대체 식물성 기반 우유 유사체 개발에 관한 현황과 미래)

  • Kim, Tae-Jin;Seo, Kun-Ho;Chon, Jung-Whan;Youn, Hye-Young;Kim, Hyeon-Jin;Kim, Young-Seon;Kim, Binn;Jeong, Dongkwan;Song, Kwang-Young
    • Journal of Dairy Science and Biotechnology
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    • v.39 no.4
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    • pp.129-144
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    • 2021
  • Following the COVID-19 pandemic, many people are increasingly becoming interested in health and environmental issues. Therefore, the sale of vegan or vegetarian products has been increasing over the last few years, as well as interest in non-dairy plant-based milk that can replace cow's milk. Furthermore, the global food industry has developed an interest in such products, considering the recent changes in consumer trends. In Korea, various products are being launched annually due to the increasing interest in non-dairy plant-based milk. However, research with regard to the quality and type of products produced in Korea is still at the preliminary stage when compared to those in the United States and Europe. Therefore, the present review has summarized non-dairy plant-based milk analogues based on the following key aspects. First, the types of non-dairy plant-based milk analogues and their production technologies (in the order of almond milk > cocoa milk > coconut milk > hemp milk > kidney bean milk > oat milk > peanut milk > rice milk, and soy milk). Second, the current status and future prospects for non-dairy plant-based milk analogues. Third, recent trends and future challenges associated with the production and quality improvement of non-dairy plant-based milk analogues. Fourth, the current status and outlook of the non-dairy plant-based milk analogue market in Korea. In conclusion, the present review could provide the food industry with valuable information regarding non-dairy plant-based milk analogues to facilitate the development of related products. Data were obtained from previously published studies.

A Study on Conceptual Design of Smart Training System for Advanced Plant Design and FEED Engineers Based on Exploring Systems Engineering (시스템엔지니어링 탐색적 접근을 통한 플랜트 엔지니어링 선행설계 전문인력 양성을 위한 스마트 교육시스템 개념설계에 관한 연구)

  • Hong, Dae Geun;Park, Chang Woo;Suh, Suk Hwan;Sur, Hwal Won
    • Journal of the Korean Society of Systems Engineering
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    • v.14 no.1
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    • pp.28-35
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    • 2018
  • Front End Engineering Design (FEED), currently dominated by a few advanced countries, creates the highest added-value in the in plant construction industry. In the domestic plant engineering industry, it is difficult to acquire its own technology capability and experience due to lack of experience and shortage of experts in advanced design fields such as basic design and FEED. To achieve competitiveness with the advanced countries, it is necessary to establish smart training system for advanced plant design and FEED engineers. This study aims to design an integrated training framework for plant engineering and FEED using system engineering to build a smart plant engineering education system that learns design knowledge based on educational content and experience based on design stage for chemical plant.

An Economic Study Analysis of Captive Power Plant as a Commercial Plant in the Cost Based Pool (자가발전기의 CBP시장 참여시 수익성 변화 평가)

  • Goh, Do-Hyun;Park, Jong-Bae;Lee, Ki-Song;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2005.11b
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    • pp.183-185
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    • 2005
  • This paper discusses an economic study analysis of captive power plant as a commercial plant in the cost based pool market. In this paper I assumed the conversion of a captive power plant owned by factories to a commercial plant and investigated the changes in profitability associated with this. I set the total electricity expense of a captive purpose plant as state A and the costs associated with converting to a commercial purpose plant as state B. Each state subdivided by case which is classified its plant variable cost, type of generation (combined cycle, single cycle) and type of power contract received. After set model for each case, different economic benefits by each case can be calculated.

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Development of a Web-based Fatigue Life Evaluation System for Primary Components in a Nuclear Power Plant (원자력발전소 1차 계통 주요기기에 대한 웹기반 피로수명평가 시스템 개발)

  • Seo, Hyong-Won;Lee, Sang-Min;Choi, Jae-Boong;Kim, Young-Jin;Choi, Sung-Nam;Jang, Ki-Sang;Hong, Sung-Yull
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.6
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    • pp.663-669
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    • 2004
  • A nuclear power plant is composed of a number of primary components. Maintaining the integrity of these components is one of the most critical issues in nuclear industry. In order to maintain the integrity of these primary components, a complicated procedure is required including regular in-service inspection, failure assessment, fracture mechanics analysis, etc. Also, experts in different fields have to co-operate to resolve the integrity issues on the basis of inspection results. This integrity evaluation process usually takes long, and thus, is detrimental for the plant productivity. Therefore, an effective safety evaluation system is essential to manage the integrity issues on a nuclear power plant. In this paper, a web-based fatigue life evaluation system for primary components in nuclear power plant is proposed. This system provides engineering knowledge-based information and concurrent and collaborative working environment through internet, and thus, is expected to raise the efficiency of integrity evaluation procedures on primary components of a nuclear power plant.

Optimization of Finite Element Retina by GA for Plant Growth Neuro Modeling

  • Murase, H.
    • Agricultural and Biosystems Engineering
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    • v.1 no.1
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    • pp.22-29
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    • 2000
  • The development of bio-response feedback control system known as the speaking plant approach has been a challenging task for plant production engineers and scientists. In order to achieve the aim of developing such a bio-response feedback control system, the primary concern should be to develop a practical non-invasive technique for monitoring plant growth. Those who are skilled in raising plants can sense whether their plants are under adequate water conditions or not, for example, by merely observing minor color and tone changes before the plants wilt. Consequently, using machine vision, it may be possible to recognize changes in indices that describe plant conditions based on the appearance of growing plants. The interpretation of image information of plants may be based on image features extracted from the original pictorial image. In this study, the performance of a finite element retina was optimized by a genetic algorithm. The optimized finite element retina was evaluated based on the performance of neural plant growth monitor that requires input data given by the finite element retina.

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