• Title/Summary/Keyword: Energy crop

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Environmental Aspect of Runoff Water from Miscanthus Production Field (억새 재배지에서의 강우 유출수 수질 특성 분석)

  • Hong, Seong Gu;Park, Seong Jik;Kang, Ku
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.6
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    • pp.113-120
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    • 2013

  • Miscanthus is one of the promising energy crops for producing bioethanol or bioenergy in many countries. A field of about 180 ha for miscanthus plantation was started for demonstration near Geum River in 2011. Since the size of the field is much larger than those of traditional cultivation for one single crop in this country, questions were raised if there are any environmental impacts from the energy crop plantation, particularly on water quality. In this study, water quality of runoff water from three different plots was analyzed for assessing the impacts of energy crop production. The results showed that there were no substantial differences among the plots; control, the first, and the second year growth fields. The concentrations of COD, T-N, and T-P were lower than those in runoff water from agricultural crop fields. The second year field showed a slight higher values of COD and T-N concentrations due to the biodegradation of residue of miscanthus which was not cultivated for observation. Commercial planation of miscanthus in a large scale would not result in a water quality problem when avoiding application of fertilizer as practiced in agricultural crop fields.

  • https://doi.org/10.5389/KSAE.2013.55.6.113 인용 PDF KSCI

Development of an Algorithm for Searching Optimal Temperature Setpoint for Lettuce in Greenhouse Using Crop Growth Model (작물생장모델을 이용한 상추의 온실 최적설정온도 탐색 알고리즘의 개발)

  • 류관희;김기영;김희구;채희연
    • Journal of Biosystems Engineering
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    • v.24 no.5
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    • pp.445-452
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    • 1999

  • This study was conducted to develop a searching algorithm for optimal daily temperature setpoint greenhouse. An algorithm using crop growth and energy models was developed to determine optimum crop growth environment. The results of this study were as follows: 1. Mathematical models for crop growth and energy consumption were derived to define optimal daily temperature setpoint. 2. Optimum temperature setpoint, which could maximize performance criterion, was determined by using Pontryagin maximum principle. 3. Dynamic control of daily temperature using the developed algorithm showed higher performance criterion than static control with fixed temperature setpoint. Performance criteria for dynamic control models were with simulated periodic weather data and with real weather data, increased by 48% and 60%, respectively.

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