• Title/Summary/Keyword: Greenhouse modeling

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Analysis of research trends in methane emissions from rice paddies in Korea

  • Choi, Eun-Jung;Lee, Jae-Han;Jeong, Hyun-Cheol;Kim, Su-Hun;Lim, Ji-Sun;Lee, Dong-Kyu;Oh, Taek-Keun
    • Korean Journal of Agricultural Science
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    • v.44 no.4
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    • pp.463-476
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    • 2017
  • Climate change is considered as the greatest threat to our future and descendants. The Korean government has set a target for 2030 to reduce emission of greenhouse gases (GHGs) by 37% from the business-as-usual levels which are projected to reach 851 million metric tons of $CO_2eq$ (Carbon dioxide equivalent). In Korea, GHGs emission from agriculture account for almost 3.1% of the total of anthropogenic GHGs. The GHGs emitted from agricultural land are largely classified into three types: carbon dioxide ($CO_2$), methane ($CH_4$), and nitrous oxide ($N_2O$). In Korea, rice paddies are one of the largest agricultural $CH_4$ sources. In order to analyze domestic research trends related to $CH_4$ emission from rice paddies, 93 academic publications including peer reviewed journals, books, working papers, reports, etc., published from 1995 to September 2017, were critically reviewed. The results were classified according to the research purposes. $CH_4$ characteristics and assessment were found to account for approximately 65.9% of the research trends, development of $CH_4$ emission factors for 9.5%, $CH_4$ emission reduction technology for 14.8%, and $CH_4$ emission modeling for 6.3%, etc. A number of research related to $CH_4$ emission characteristics and assessment have been studied in recent years, whereas further study on $CH_4$ emission factors are required to determine an accurate country-specific GHG emission from rice paddies. Future research should be directed toward both studies for reducing the release of $CH_4$ from rice paddies to the atmosphere and the understanding of the major controlling factors affecting $CH_4$ emission.

A Long Term Market Forecasting of Passenger Car using MESSAGE Modelling (MESSAGE 모델링을 이용한 승용차 부문의 그린카 도입 전망 분석)

  • Yoo, Jong-Hun;Kim, Hu-Gon
    • Journal of Energy Engineering
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    • v.21 no.1
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    • pp.33-42
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    • 2012
  • In this study, long-term greenhouse gas reductions expected passenger sector was used for the MESSAGE. Green Car road map proposed BAU scenario, Enhanced diffusion green car scenario, and price 1, 2 scenarios was configured with four scenarios. Enhanced diffusion green car in the scenario, in 2050 compared to BAU scenario 13% of the emissions will decrease. Price 1 and Price 2 scenario is emissions reduction of 14% compared to BAU. This study consists of six chapters. Introduction of MESSAGE, creation and RES in the year and the target year set a different base line and the passenger building materials sector activities, steps for passenger sector scenario and Based on the results of running the emissions reductions were to describe.

Optimal Sizing Method of Distributed Energy Resources for a Stand-alone Microgrid by using Reliability-based Genetic Algorithm (신뢰도 기반의 유전자알고리즘을 활용한 독립형 마이크로그리드 내 분산형전원 최적용량 산정 방법)

  • Baek, Ja-Hyun;Han, Soo-Kyung;Kim, Dae-Sik;Han, Dong-Hwa;Lee, Hansang;Cho, Soo-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.5
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    • pp.757-764
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    • 2017
  • As the reduction of greenhouse gases(GHGs) emission has become a global issue, the microgrid markets are growing rapidly. With the sudden changes in the market, Korean government suggested a new business model called 'Self-Sufficient Energy Islands'. Its main concern is a stand-alone microgrid composed of Distributed Energy Resources(DERs) such as Renewable Energy Sources(RESs), Energy Storage System(ESS) and Fuel Cell, in order to minimize the emission of GHGs. According to these trend, this paper is written to propose an optimal sizing method of DERs in a stand-alone microgrid by using Genetic Algorithm(GA), one of the representative stochastic methods. It is to minimize the net present cost with the variables, size of RESs and ESS. In the process for optimization, the sunless days are considered as additional constraints. Through the case study analysis, the size of DERs installed in a microgrid system has been computed using the proposed method in MATLAB. And the result of MATLAB is compared with that of HOMER(Hybrid Optimization of Multiple Energy Resources), a well-known energy modeling software.

The Economic Impacts of Subsidizing Water Industry Under Greenhouse Gases Mitigation Policy in Korea: A CGE Modeling Approach (국가 온실가스 저감정책과 물산업 지원의 경제적 영향 분석 - 연산일반균형모형 분석)

  • Kim, Jae Joon;Park, Sung Je
    • Journal of Korea Water Resources Association
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    • v.45 no.12
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    • pp.1201-1211
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    • 2012
  • This paper constructed the single country sequential dynamic CGE model to analyze the economic impacts of subsidizing water industry under the GHG emission abatement policy in Korea. We introduced the carbon tax to reduce the GHG emission and made two scenarios. One is to transfer the total tax revenue to household. The other is to mix the tax transfer and water industry support. Our Simulation results show that the macroeconomic effects might be positive by subsidizing water industry compared with the pure tax transfer. However, the support of water industry doesn't contribute to head for the non-energy intensive economy because it's economic activity highly depend on fossil energy and energy intensive products as intermediate demand. This means that it is important to make efforts on the cost effective measures such as energy technology progress, alternative energy development, and energy efficiency improvement in water industry against climate change policy.

An Experimental Study on GHG Emissions Reduction and Fuel Economy Improvement of Heavy-Duty Trucks by Using Aerodynamics Device Package (공기저항 저감장치 패키지를 이용한 대형화물차량의 연비개선 및 온실가스 저감효과에 관한 실험적 연구)

  • Park, Seungwon;Dong, Lang;Her, Chulhaeng;Yun, Byoeunggyu;Kim, Daewook
    • Transactions of the Korean Society of Automotive Engineers
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    • v.25 no.2
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    • pp.207-218
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    • 2017
  • Improving fuel consumption, particularly that of commercial vehicles, has become a global concern. The reduction in logistics cost has been a key issue in efforts to improve fuel economy and efficiency of transportation equipment. Typical technologies for reducing reduce fuel usage include air resistance reduction technologies, tire rolling resistance technologies, and idle technologies among others. Air resistance technology is a highly effective method that can be easily applied in a short period. As with air resistance technology, several devices involving side skirt, boat tail and gap fairing have been developed based on an analytical 3-D modeling technique for reducing air resistance attributed to the vehicle configuration. The devices were on a 45 feet tractor-trailer and the emission test was done using PEMS equipment. Fuel economy was evaluated by introducing several devices to reduce outer air resistance. The test was conducted by changing the experimental method of SAE J1321 Joint TMC/SAE Fuel Consumption Test Procedure - Type II test. As a result, air resistance decreased by at least 15 % and fuel economy improved by at least 13 %. This study sought to reduce greenhouse gas and improve fuel economy by applying several devices to a test vehicle to lower air resistance.

Pre-Analysis Study on Ground Source Heat Pump System in Building with RETScreen (RETScreen을 활용한 건물에서의 지열 히트펌프 시스템 적용 사전 분석연구)

  • Kim, Yu Jin;Lee, Kwang-Seob;Lee, Euy-Joon;Kang, Eun-Chul
    • Journal of the Korean Solar Energy Society
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    • v.40 no.2
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    • pp.1-10
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    • 2020
  • Korea government published renewable energy obligation policy that public building must be supplied some part of total consumption energy (2019: 27%, 2020: 30%). RETScreen is freely available global energy tool that developed by Canadian National Energy Laboratory to quantify energy saving to compare conventional system. This program can be performed energy modeling, cost analysis, greenhouse gas emission analysis and financial analysis. In this study, GSHP (Ground source heat pump) heating and cooling system were studied for the energy deliverly and ROI (Return On Investment) in an office building. Three cases were studied according to the number of HP (Heat pump) units for the 1,000㎡ office building located in Daejeon. Results indicated that the energy delivery of the case 1 (1 HP unit) covered 57% of the office building heating and cooling energy consumption. The case 2 (2 HP units) covered 87.8% and the case 3 (3 HP units) covered 96.8% of the office building energy consumption. The ROI of the case 1 indicated 7.9 years. While 8.2 years for the case 2 and 9.7 years for the case 3.

A Study on Information Visualization using Building Information Modeling (BIM을 이용한 정보 시각화에 관한 연구)

  • Cha, Gi-Chun;Park, Seunghee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.4170-4175
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    • 2015
  • The global warming has been recognized as a serious problem. To solve this problem, the country of all the world have conducted techniques such as energy saving and reduction of greenhouse gas. The 30% of total energy is being consumed by buildings domestically and BAS/BEMS are being operated for the management of building energy. But, BEMS is unsatisfactory condition to manage the energy efficiently. In this study, We investigate real application on Chamsaem elementary school as a target buildings and develop 3D Web Browser platform. The spatial information of target buildings is described with used BIM and the energy information is presented for facilities operation and electricity consumption in floor and facility. We perform the quantitative evaluation based on ISO/IEC 9126 and operate this system for two months. in result, energy decreased by about 16%. We expect that the proposed 3D Web Browser system will bring operating efficiency improvement of the current BEMS.

Simulation-based Analysis of Electric Power Consumption Efficiency for Self-Driving Roller Conveyor Systems (시뮬레이션 기반 자체 구동 롤러 컨베이어 물류시스템의 전력 효율 분석)

  • Kim, Young J.;Park, Hee N.;HAM, Won K.;Park, Sang C.
    • Journal of the Korea Society for Simulation
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    • v.24 no.3
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    • pp.97-105
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    • 2015
  • This paper is to analyze the efficiency of power consumption in logistic systems that are based on self-driving roller conveyors by the simulation technology. The improvement of the efficiency brings advantages for reducing greenhouse gas emission and logistics costs. A self-driving roller conveyor is operated only when products are loaded on itself. Thus, the self-driving roller conveyor systems consume less electric power than continuous-driving roller conveyor systems. In this paper, we design a DEVS (Discrete-Event based System) based simulation model and construct self-driving roller and continuous-driving roller conveyor models. For the verification and validation of the designed simulation system and conveyor models, we model a corresponding logistic model for the experimental environment and compare between the model and a real system. The main objective of this paper is to describe the power consumption advantage of self-driving roller conveyor based logistic systems using a simulation method.

CO2 and Energy Exchange in a Rice Paddy for the Growing Season of 2002 in Hari, Korea (한국 하리 논에서의 2002년 생장기간의 CO2와 에너지의 교환)

  • Byung-Kwan Moon;Jinkyu Hong;Byoung-Ryol Lee;Jin I. Yun;Eun Woo Park;Joon Kim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.5 no.2
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    • pp.51-60
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    • 2003
  • Rice, which occupies about 60% of the farmland in Korea, is a staple crop in Asia. It not only absorbs $CO_2$ from the atmosphere, but also emits carbon in a form of CH$_4$. It has a potential role in the global budget of greenhouse gases because of its relative contributions of carbon absorption and emission associated with changing hydrologic cycle. To better understand its current and future role, seasonal variations of energy and $CO_2$ exchange in this critical ecosystem need to be quantified. The purpose of this study was to measure, document and understand the exchange of energy and $CO_2$ in a typical rice paddy in Korea throughout the whole growing season. Since late April of 2002, we have conducted measurements of energy and $CO_2$ exchange in a rural rice paddy at Hari site, one of the Korea regional network of tower flux measurement (KoFlux). After the quality control and gap-filling, the observed fluxes were analyzed in the context of micrometeorology and biophysics. $CO_2$ and energy exchanges varied significantly with land cover changes (e.g., plant growth stages), in addition to changes in weather and climate conditions. This study, reporting first direct measurement of energy and $CO_2$ exchange over a rice paddy in Korea, would serve as a useful database as one of the reference sites in AsiaFlux and FLUXNET.

Modeling of Medium Temperature Drops of the Elevated-bench Hydroponics for Strawberry Cultivation during Low Temperature Season (저온기 딸기 고설 수경재배시 온실기온에 따른 배지내 온도강하 모델 개발)

  • Park, Jae-Wan;Ha, Yu-Shin;Kim, Ki-Dong;Park, Dae-Heum;Lee, Ki-Myung;Jun, Ha-Joon;Kwon, Soon-Gu;Choi, Won-Sik;Chung, Sung-Won
    • Journal of Bio-Environment Control
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    • v.19 no.3
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    • pp.123-129
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    • 2010
  • A study on modeling of medium temperature drops of the elevated-bench hydroponic system for strawberry cultivation during low temperature season was conducted. Four different conditions were used for the experiment. These consisted of two kinds of bed types (plant, V), four kinds of medium (rice, perlite, rice hulls80% and peatmoss20%, perlite80% and peatmoss20%), two kinds of mulched bed (mulched, non mulched) and four kinds of greenhouse air temperature (l.5, 3.2, 5.0, $6.7^{\circ}C$), and the results were summarized as follows: Temperature drop of medium in the V-bed was slower than that in the plant bed, showing better insulation effect of V-bed. Temperature drop of medium with mulching on the top of the bed was slower than the case without mulching, as a result, the beneficial effect of temperature drop was appeared in mulched bed. Linear regression of the temperature descent rate and the temperature difference between medium and air showed significant correlation. The regression equation for the Pearlite80% and Peatmoss20% in the V-bed was f(x) = -0.2656 + 0.1345x at the $R^2$ of 0.9269. Using the model, the temperature drop during night can be predicted for the various media at the different depths.