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장성택(Seong-Teak Jang),성태경(Tae-Kyung Sung),정채봉(Che-Bong Jung),김병철(Byung-Chul Kim) 대한설비공학회 2013 대한설비공학회 학술발표대회논문집 Vol.2013 No.11
This research is to eliminate the need for conventional high density plant factory’s artificial light source such as LED to reduce the initial investment of the light source installation as well as the operation cost. Provision of solar light into the multi-layer vegetable cultivation facilities and collecting maximum and sustainable sunlight without too much loss by tracing solar path and properly distributing it through careful control during daytime are crucial for realizing the investigated rooftop light shelf system for multi-layered vegetable cultivation. In this study, we developed an innovative way of effectively allocating sunlight inside even to otherwise shaded zone of a multi-layer vegetable cultivation facility. To prove the effectiveness of the system’s sunlight collection and distribution capability, both simulation and experiment in Daejeon are performed and the outcome is analyzed.
태양광발전 효율향상을 위한 목표온도 추적식 냉각수 분사시스템 제어방법
정채봉 ( Che-bong Joung ),장성택 ( Seong-teak Jang ),이충식 ( Chung-sik Lee ),김태진 ( Tae-jin Kim ),김영근 ( Young-geun Kim ) 한국구조물진단유지관리공학회 2017 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.21 No.2
As the Photovoltaic system market increases, various technologies are emerging to improve system operation efficiency. Such additional systems of the power generation system are generally referred to as ‘Balance of System’, for example a panel cooling, a panel cleaning and a panel angle adjusting apparatus. In this paper, we discuss an algorithm to calculate the target temperature of cooling in response to changes in the installation environment conditions of the power generation system so that the efficiency improvement rate target set by the user can be achieved with respect to the control method of the cooling water injection system among various panel cooling apparatuses. In order to calculate the target temperature of cooling, the output enhancement coefficient is calculated experimentally based on the temperature change according to the solar radiation condition of the PV panel, and the required reduction temperature of each irradiation condition is calculated considering the efficiency improvement rate. In addition, the efficiency improvement ratio is calculated considering the installation condition of the general power generation system without a separate control group. The thermal performance coefficient of the PV panel test body for calculating the expected temperature of the PV panel is calculated experimentally. The target temperature of cooling is calculated as the sum of the expected temperature of the PV panel and the required reduction temperature, and the injection system that tracks the target temperature by cooling water injection is constructed and compared with the power generation improvement rate and the user setting efficiency improvement rate.
태양광발전 효율향상을 위한 목표온도 추적식 냉각수 분사시스템 제어방법
정채봉(Che-Bong Joung),장성택(Seong-Teak Jang),이충식(Chung-Sik Lee),김태진(Tae-Jin Kim),김영근(Young-Geun Kim) 대한건축학회 2017 대한건축학회 학술발표대회 논문집 Vol.37 No.2
As the Photovoltaic system market increases, various technologies are emerging to improve system operation efficiency. Such additional systems of the power generation system are generally referred to as ‘Balance of System’, for example a panel cooling, a panel cleaning and a panel angle adjusting apparatus. In this paper, we discuss an algorithm to calculate the target temperature of cooling in response to changes in the installation environment conditions of the power generation system so that the efficiency improvement rate target set by the user can be achieved with respect to the control method of the cooling water injection system among various panel cooling apparatuses. In order to calculate the target temperature of cooling, the output enhancement coefficient is calculated experimentally based on the temperature change according to the solar radiation condition of the PV panel, and the required reduction temperature of each irradiation condition is calculated considering the efficiency improvement rate. In addition, the efficiency improvement ratio is calculated considering the installation condition of the general power generation system without a separate control group. The thermal performance coefficient of the PV panel test body for calculating the expected temperature of the PV panel is calculated experimentally. The target temperature of cooling is calculated as the sum of the expected temperature of the PV panel and the required reduction temperature, and the injection system that tracks the target temperature by cooling water injection is constructed and compared with the power generation improvement rate and the user setting efficiency improvement rate.