This study forecasts changes in thermal environment and microclimate change per new building construction and assignment of green space in urban area using Computational Fluid Dynamics(CFD) simulation. The analysis studies temperature, humidity and wind speed changes in 4 different given conditions that each reflects; 1) new building construction; 2) no new building construction; 3) green spaces; and 4) no green spaces. Daily average wind speed change is studied to be; Case 2(2.3 m/s) ＞ Case 3. The result of daily average temperate change are; Case 3(26.5℃) ＞ Case 4(24. 6℃) ＞ Case 2(23.9℃). This result depicts average of 2.5℃ temperature rise post new building construction, and decrease of approximately 1.8℃ when green space is provided. Daily average absolute humidity change is analysed to be; Case 3(15.8 g/kg') ＞ Case 4(14.1 g/kg') ＞ Case 2(13.5 g/kg'). This also reveals that when no green spaces is provided, 2.3 g/kg' of humidity change occurs, and when green space is provided, 0.6 g/kg change occurnd 4(1.8 m/s), which leads to a conclusion that daily average wind velocity is reduced by 0.5 m/s per new building construction in a building complex.

Abstract
 1. 서 론
 2. 시뮬레이션의 개요 및 선행연구 검토
  2.1. CFD 시뮬레이션 개요
  2.2. 선행연구 검토
 3. 재료 및 방법
  3.1. 분석대상지
  3.2. 분석절차 및 해석방법
  3.3. 경계조건 및 해석조건(Case) 설정
 4. 결과 및 고찰
  4.1. 지역 기후환경 분석
  4.2. Case 1 : 건축물 신축 전․후 바람길 변화
  4.3. Case 2 : 건축물 신축 이전 여름철 온도, 절대습도,풍속 해석
  4.4. Case 3 : 건축물 신축이후(녹지율 0%) 여름철 온도,절대습도, 풍속 해석
  4.5. Case 4 : 건축물 신축이후(녹지율 50%) 여름철 온도,절대습도, 풍속 해석
  4.6. Case별 외부 열환경 변화 종합비교
 5. 결 론
 참 고 문 헌

• 김정호(건국대학교 자연과학대학) | Jeong-Ho Kim (College of Natural Science, Konkuk University)
• 손원득((주)이에이엔테크놀로지) | Won-Duk Son (EAN technology Co., Ltd.)
• 윤용한(건국대학교 자연과학대학) | Yong-Han Yoon (College of Natural Science, Konkuk University) Corresponding author