• Title/Summary/Keyword: Carbon stock change

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Theoretical Analysis on the Applications of the Double-Floor Ondol System (이중 바닥 온돌 시스템의 응용에 관한 이론적 분석)

  • Choi, Won-Ki;Lee, Kang-Young;Lee, Hyun-Geun;Suh, Seung-Jik
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.19 no.5
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    • pp.355-363
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    • 2007
  • The Korean traditional 'Ondol' system has been a target for innovation to meet the requirements of sustainable domestic building and low carbon emission energy utilization. Simulation techniques provide designers and researchers with powerful tools to predict heating load and thermal behaviour of Ondol systems installed in various contexts. However, there are few studies on Ondol models, especially associated with multi-stories buildings of which type covers about 50% of Korean housing stock. In this study, we analyzed the double floor Ondol system on the multi-stories buildings using the ESP-r program. On the basis of the double floor Ondol system, we suggested the new modelling method that is composed of the Vent zone and Ondol zone. Using the this model, sensitivity analysis was carried out to refine the applicability of the model taking account of control conditions, constructions, air change and air flow network method and CFD analysis using the FLUENT. The air layer has enough temperature to use in heating zone. It is suggested that the simplicity of the model will allow building designers and mechanical engineers easily to implement scenario-based assessments of design options as well as control strategies. Later, we will simulate the real buildings and analyze the air distributions using the Fluent according to the various conditions.

Changes in Methane Emissions from Paddy under Different Tillage and Cultivation Methods (벼 재배 시 경운 및 재배방법에 의한 메탄발생 양상)

  • Kim, Sukjin;Cho, Hyun-Suk;Choi, Jong-Seo;Park, Ki Do;Jang, Jeong-Sook;Kang, Shin-gu;Park, Jeong-Hwa;Kim, Min-Tae;Kang, In-Jeong;Yang, Woonho
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.61 no.4
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    • pp.251-256
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    • 2016
  • The increase in carbon stock and sustainability of crop production are the main challenges in agricultural fields relevant to climate change. Methane is the most important greenhouse gas emitted from paddy fields. This study was conducted to investigate the effects of tillage and cultivation methods on methane emissions in rice production in 2014 and 2015. Different combinations of tillage and cultivation were implemented, including conventional tillage-transplanting (T-T), tillage-wet hill seeding (T-W), minimum tillage-dry seeding (MT-D), and no-tillage-dry seeding (NT-D). The amount of methane emitted was the highest in T-T treatment. In MT-D and NT-D treatments, methane emissions were significantly decreased by 77%, compared with that in T-T treatment. Conversely, the soil total carbon (STC) content was higher in MT-D and NT-D plots than in tillage plots. In both years, methane emissions were highly correlated with the dry weight of rice ($R^2=0.62{\sim}0.96$), although the cumulative emissions during the rice growing period was higher in 2014 than in 2015. T-T treatment showed the highest $R^2$ (0.93) among the four treatments. Rice grain yields did not significantly differ with the tillage and cultivation methods used. These results suggest that NT-D practice in rice production could reduce the methane emissions and increase the STC content without loss in grain yield.

Mapping and Assessment of Forest Biomass Resources in Korea (우리나라 산림 바이오매스 자원량 평가 및 지도화)

  • Son, Yeong Mo;Lee, Sun Jeoung;Kim, Sowon;Hwang, Jeong Sun;Kim, Raehyun;Park, Hyun
    • Journal of Korean Society of Forest Science
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    • v.103 no.3
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    • pp.431-438
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    • 2014
  • This study was conducted to assess forest biomass resource which is a carbon sink and a renewable resource in Korea. The total forest biomass resource potential was 804 million tons, and conifers, broadleaved forest and mixed forest accounted for 265 million tons, 282 million tons, and 257 million tons, respectively. Proportionately to regional forest stocks, biomass potential of Gangwon-do had most biomass potential, followed by Gyeongsangbuk-do and Gyeongsangnam-do. The woody biomass from the byproduct of sawn timber in commercial harvesting was 707 thousand ton/year, and that from the byproduct of forest tending was 592 thousand ton/year. The amount resulted in about 1,300 thousand ton/year of potential supplies from forest biomass resource into the energy market. It's tonnage of oil equivalent(toe) was 585 thousand ton/year. In this study, we developed a program (BiomassMap V2.0) for forest biomass resource mapping. Used system to develop this program was Microsoft Office Excel, Microsoft Office Access ArcGIS and Microsoft Visual Basic 6.0. Additionally, This program made use of tool such as ESRI MapObjects2.1 in order to take advantage of spatial information. This program shows the map of total biomass stock, annual biomass growth at forest land in Korea, and biomass production from forest tending and commercial harvesting. The information can also be managed by the program. The biomass resource map can be identified by regional and forest type for the purpose of utilization. So, we expect the map and program to be very useful for forest managers in the near future.

Developing Dynamic DBH Growth Prediction Model by Thinning Intensity and Cycle - Based on Yield Table Data - (간벌강도 및 주기에 따른 동적 흉고직경 생장예측 모형개발 - 기존 수확표 자료를 기반으로 -)

  • Kim, Moonil;Lee, Woo-Kyun;Park, Taejin;Kwak, Hanbin;Byun, Jungyeon;Nam, Kijun;Lee, Kyung-Hak;Son, Yung-Mo;Won, Hyung-Kyu;Lee, Sang-Min
    • Journal of Korean Society of Forest Science
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    • v.101 no.2
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    • pp.266-278
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    • 2012
  • The objective of this study was developing dynamic stand growth model to predict diameter at breast height (DBH) growth by thinning intensity and cycle for major tree species of South Korea. The yield table, one of static stand growth models, constructed by Korea Forest Service was employed to prepare dynamic stand growth models for 8 tree species. In the process of model development, the thinning type was designated to thinning from below and equations for predicting the DBH change after thinning by different intensities was generated. In addition, stand density (N/ha), age and site index were adopted as explanatory variables for DBH prediction model. Thereafter, using the model, DBH growth under various silvicuture through integrating such equations considering thinning intensities, and cycles. The dynamic stand growth model of DBH developed in this study can provide understanding of effectiveness in forest growth and growing stock when thinning practice is performed in forest. Furthermore, results of this study is also applicable to quantitatively assess the carbon storage sequestration capability.