• Journal of Bio-Environment Control
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• v.30 no.4
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• pp.419-428
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• 2021

In order to develope a mobile-based greenhouse energy calculation program, firstly, the overall thermal transmittance of 10 types of major covers and 16 types of insulation materials were measured. In addition, to estimate the overall thermal transmittance when the cover and insulation materials were installed in double or triple layers, 24 combinations of double installations and 59 combinations of triple installations were measured using the hotbox. Also, the overall thermal transmittance value for a single material and the thermal resistance value were used to calculate the overall thermal transmittance value at the time of multi-layer installation of covering and insulating materials, and the linear regression equation was derived to correct the error with the measured values. As a result of developing the model for estimating thermal transmittance when installing multiple layers of coverings and insulating materials based on the value of overall thermal transmittance of a single-material, the model evaluation index was 0.90 (good when it is 0.5 or more), indicating that the estimated value was very close to the actual value. In addition, as a result of the on-site test, it was evaluated that the estimated heat saving rate was smaller than the actual value with a relative error of 2%. Based on these results, a mobile-based greenhouse energy calculation program was developed that was implemented as an HTML5 standard web-based mobile web application and was designed to work with various mobile device and PC browsers with N-Screen support. It had functions to provides the overall thermal transmittance(heating load coefficient) for each combination of greenhouse coverings and thermal insulation materials and to evaluate the energy consumption during a specific period of the target greenhouse. It was estimated that an energy-saving greenhouse design would be possible with the optimal selection of coverings and insulation materials according to the region and shape of the greenhouse.

• Journal of Energy Engineering
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• v.26 no.3
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• pp.123-130
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• 2017

The district heating system has been successfully implemented with higher efficiency levels of energy production and reduction of carbon emissions during heat generation. Traditionally the system consisted of small number of production and demand sites, but, recently it has evolved into a network with large number of sites interconnected each other. By connecting multiple sites into a network, heat from low-cost production sites can be supplied to distant demand sites so as to lower the total operation cost. In this study, we simulate and analyze distict heating networks focused on critical links. a critical link is defined as a link in which capacity is fully utilized. If a newtork has critical links, then those cricial links become bottlenecks and it is difficult to improve the overall network efficiency.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.196.2-196.2
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• 2011

지구온난화와 화석연료 고갈에 대한 우려로 전세계적으로 신재생에너지의 개발 및 활용이 본격화되고 있다. 특히, 다양한 신재생에너지원 중에서 날씨 및 계절에 의한 영향, 기저부하 담당, 지상 점유 면적, 소음 등 생활환경 영향, 경제성 등을 고려할 때 지열에너지는 미래 청정에너지원로서 기대와 관심이 집중되고 있다. 화산이 존재하지 않는 우리나라에서의 지열발전은 거의 불가능한 것으로 인식되어 지금까지의 심부 지열에너지 개발 프로젝트는 대부분 지역난방, 시설영농 등 직접이용을 목표로 추진되어 왔다. 그러나, 2003년부터 한국지질자원연구원에서 수행한 포항 심부지열에너지 개발사업의 결과로 얻어진 다양한 지질학적/지열학적 증거들을 토대로 분석한 결과, 국내 일부 지역에서는 지하 5 km 심도에서 최대 약 $180^{\circ}C$의 지온이 예상되어 국내에서도 심부 지열에너지를 이용한 지열발전에 대한 가능성이 제기되어 왔다. 여기에, 유럽과 미국 그리고 호주 등 선진국을 중심으로 비화산 지역에서 지하 심부에 인공적으로 지열저류층(파쇄대)을 생성하고 이를 통해 열매체(물)를 순환시킴으로써 생산된 증기를 발전에 활용하는 EGS (Enhanced Geothermal System) 기술이 개발되고 몇몇 성공사례가 발표되었다. 또한, 이러한 기술개발에 힘입어 EGS 지열발전에 대한 선진국의 과감한 연구비 투자가 이어졌다. 이러한 기술적 배경에 발맞추어 우리나라에서도 2010년 12월에 EGS 지열발전 과제가 착수되었다. 이 프로젝트는 아시아에서는 최초로 수행되는 EGS 기술 개발과제로서 2015년까지 약 480억원의 R&D 예산을 투입하여 MW급의 지열발전 pilot plant의 구축을 목표로 하고 있다. 프로젝트가 성공적으로 추진될 경우 국내외적인 파급효과는 매우 클것이다. 특히 2015년까지 1.5 MW의 pilot plant의 구축이 성공적으로 추진될 경우 국내에서는 2017년까지 3 MW 이상, 2020년까지 20 MW이상, 2030년까지 200 MW 이상의 지열발전이 가능할 것으로 기대된다. 또한 축적된 기술개발 경험을 바탕으로 인도네시아, 필리핀 등의 해외의 지열발전 사업에도 진출할 수 있는 계기가 될 것이다. 프로젝트는 넥스지오를 주관기관으로 하고 한국지질자원연구원, 한국건설기술연구원 및 서울대학교 등의 지질자원 관련 연구 및 교육기관과 포스코, 이노지오테크놀로지 등의 산업체가 참여하여 컨소시엄 형태로 추진하고 있으며, 향후 관심있는 여러 기관 및 산업체의 지원과 참여를 기대한다.

• Journal of Bio-Environment Control
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• v.32 no.1
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• pp.57-63
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• 2023

The external weather conditions including temperature and wind speed in the Saemangeum reclaimed land is different from that of the inland, affecting the internal environment of the greenhouse. Therefore, it is important to select an appropriate covering material considering the insulation effect according to the type and characteristics of the covering material considering the weather condition in the Saemangeum reclaimed land. A hexahedral insulation chamber was designed to evaluate the insulation efficiency of each glass-clad material in the outside weather condition in reclaimed land. In order to evaluate the insulation effect of each covering material, a radiator was installed and real-time power consumption was monitored. 16-mm PC (polycarbonate), 16-mm PMMA (polymethyl methacrylate), 4-mm greenhouse glass, and 16-mm double-layered glass were used as the covering materials of the chamber. In order to understand the effect of the external wind directions, the windward and downwind insulation properties were evaluated. As a result of comparing the thermal insulation effect of each greenhouse cover material to single-layer glass, the thermal insulation effect of double-layer glass was 16.9% higher, while PMMA and PC were 62.5% and 131.2% higher respectively. On average the wind speed on the windward side was 53.1% higher than that on the lee-wind side, and the temperature difference between the inside and outside of the chamber at the wind ward side was found to be 52.0% larger than that on the lee ward side. During the experiment period, the overall heating operation time for PC was 39.2% lower compared to other insulation materials. Showing highest energy efficiency, and compared to PC, single-layer glass power consumption was 37.4% higher.

• Smart Media Journal
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• v.12 no.10
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• pp.63-70
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• 2023

Recently, energy consumption for heating costs, which is 35% of smart farm energy costs, has increased, requiring energy consumption efficiency, and the importance of new and renewable energy is increasing due to concerns about the realization of electricity bills. Renewable energy belongs to hydropower, wind, and solar power, of which solar energy is a power generation technology that converts it into electrical energy, and this technology has less impact on the environment and is simple to maintain. In this study, based on the greenhouse heat storage tank and heat pump data, the factors that affect the heat storage tank are selected and a heat storage tank supply temperature prediction model is developed. It is predicted using Long Short-Term Memory (LSTM), which is effective for time series data analysis and prediction, and XGBoost model, which is superior to other ensemble learning techniques. By predicting the temperature of the heat pump heat storage tank, energy consumption may be optimized and system operation may be optimized. In addition, we intend to link it to the smart farm energy integrated operation system, such as reducing heating and cooling costs and improving the energy independence of farmers due to the use of solar power. By managing the supply of waste heat energy through the platform and deriving the maximum heating load and energy values required for crop growth by season and time, an optimal energy management plan is derived based on this.