윤연주 교수

This study examines the influence of lightshelf configurations on photosensor-based lighting control in a narrow-shaped office space. Computer simulations were conducted for three options for window configurations including lightshelf under a variety of daylight conditions. Results indicate that daylight factors under lightshelves conditions were lower than that of the conditions without lightshelf, since the lightshelf functions as an overhang that blocked incoming daylight to workplanes. The a

A theoretical method for the prediction of illuminance under diverse sky conditions was proposed in order to examine the variation of daylight illuminance at photosensors. The method was used to predict the illuminance of photosensor with a full-shielding condition. The prediction results were validated using the results of field measurement under various daylight conditions. Results imply that the predicted values were lower than those of measurement under clear and partly-cloudy sky, but the p

This study proposes simulation methods for effective prediction of annual illuminance due to sun and sky, separately. Computational theory for simulation was developed and prediction results by the simulations were validated against the prediction results by RADIANCE program. Among the proposed annual simulation methods for sun, the daylight coefficient method using 4 neighboring skies was most effective for prediction. Sun matching method caused errors in the estimation of direct sunlight due t

생활 폐기물매립지의 효율적인 관리를 위하여 매립장 내 매립작업 진척상황과 매립작업 관리를 24시간 관리 체계를 구축하고 이를 안드로이드 기반 영상감시 시스템과 연계함으로써 시설 관리자의 상시 감시 체계를 완성하였다. 이는 매립 진척 상황과 침출수 관리를 관리사무소의 관제시스템에서만 관찰하게 되어 있어 기상변화와 위급상황에 대처능력이 전무한 실정이다. 이번 연구를 통해서 매립시설 운영자가 외부에 있는 경우에도 매립지 전경 및 침출수 상황을 관찰을 할 수 있도록 모바일 네트워크를 이용해 외부에서도 매립지 관찰을 할 수 있는 스마트폰 앱을 개발하여 24시간/365일 매립지 관찰을 할 수 있는 환경을 제공하고자 한다. 이러한 기본 개념들을 실제 안성시 생활 폐기물 매립장에 적용하기 위한 시스템 아키텍처 및 지능형 CCTV 컨트롤 시스템 스키마 등을 연구하였다.

Photosensor based lighting control systems in combination with automatic shading control system were installed in offices. Photosensors were calibrated and two lighting control algorithms were applied. To maximize the daylight use, shading devices were controlled based on suns profile angles and sky conditions. Lighting energy was saved by 57~61% compared to the manual ambient and task lighting systems.

The influence of outdoor sky conditions on photosensor signals were examined to determine an appropriate index that is effectively used for optimum illuminance fluctuation when a daylight dimming system is used for a small office. Field measurements were conducted under various sky conditions. Results indicate that the outdoor global and vertical illuminance fluctuated within narrow ranges under clear and overcast sky conditions. The fluctuation of sky ratio under partly-cloudy sky caused wide r

This study proposes a simulation method for effective prediction of photosensor illuminance under various daylight conditions. Computational theory for simulation was developed and prediction results by the simulations were validated against field measurement results. Results indicate that difference range between simulation and measurement was wide when direct component of daylight was strong. The absolute difference range under overcast sky was narrow compared with that under clear and partly

A computational simulation method was discussed in this study in order to predict photosensor signals under a variety of sky conditions. Theoretical approaches for a simulation method were proposed for prediction, and simulation results were compared with the results of field measurements. Results indicate that differences between prediction and measurement of outdoor global illuminance were higher under a clear sky condition compared to that under partly cloud and overcast sky condition. A phot