• 설비공학논문집
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• 제22권6호
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• pp.392-397
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• 2010

Energy loss from windows accounts for large scores of heating and cooling loads also in energy saving apartments that is reduced over 30% of total energy consumption. Movable reflective insulations, insulation shutters, blinds, insulated shades are used to reduce energy loads from windows. In this study, energy saving performance of insulated shades was simulated by control methods. According to installation of insulated shades, heating loads were decreased about 10.5~11.3%, and cooling loads are decreased about 29.1~38.3% on an energy saving apartment. The heating peak load was reduced about 9.5% by insulated shades and the cooling peak load was reduced about 25.7~31.5%. In the case of insulated shades with automatic control system, simple time schedule control system would be more efficient than outdoor detection control system that should use several sensors.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2009년도 하계학술발표대회 논문집
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• pp.33-38
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• 2009

Energy loss from windows accounts for large scores of heating and cooling loads also in energy saving apartments that is reduced over 30% of total energy consumption. Movable reflective insulations, insulation shutters, blinds, insulated shades are used to reduce energy loads from windows. In this study, energy saving performance of insulated shades was simulated by control methods. According to installation of insulated shades, heating loads were decreased about $10.5{\sim}11.3%$, and cooling loads are decreased about $11.0{\sim}15.5%$ on an energy saving apartment. The heating peak load was reduced about 9.5% by insulated shades, but the cooling peak load is hardly ever decreased. Because in the condition of cooling peak load, latent cooling loads accounts for large score of cooling loads. Difference of the energy loads by a schedule control method and an outdoor detection control was no more than 5% for a base model. In the case of insulated shades with automatic control system, simple time schedule control system would be more efficient than outdoor detection control system that should use several sensors.

• 월간 기계설비
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• 통권306호
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• pp.87-93
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• 2016

중소기업청은 지난 해 12월 30일 '중소기업자간 경쟁제품 지정내역 및 공사용 자재 직접구매 대상품목'을 개정하고 올해 1월 1일부터 3년(2018.12.31)간 적용에 들어갔다. 개정된 공사용 자재 직접구매 대상품목 중 그동안 대한기계설비건설협회(회장 이상일)가 지정 제외를 위해 총력을 기울였던 고무발포단열재가 기존 공사용자재 직접구매 대상품목 중에서 유일하게 제외됐다. 새로 개정된 공사용 자재 직접구매 대상품목은 고무발포단열재, 애자, 공기살균기, 플라스틱포대 등 4개 품목이 빠지고 신규 지정을 신청한 12개 품목 중 8개(커튼, 차양, 볼라드, 잡석, 데이터 포트장치, 디지털영상 정보 안내시스템, 막구조물, 포설형 탄성 포장재)만 채택돼 총 127개 품목으로 확정됐다. 고무발포단열재가 공사용 자재 직접구매 대상품목에서 제외됨으로써 앞으로 기계설비건설업계의 매출 신장과 생산성 향상에 크게 기여할 것으로 기대되고 있다.

• 한국주거학회논문집
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• 제23권2호
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• pp.107-114
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• 2012

Thermally Activated Building System(TABS) is a radiant heating and cooling system which uses structures as thermal storage by embedding pipes in a concrete slab. Using TABS as the cooling system in residential buildings can reduce energy consumption and peak loads. But the ratio of cooling loads handled by TABS is low in the residential buildings which are significantly influenced by outside condition because condensation and over-cooling may occur. However, recent interest on energy-saving buildings is increasing and new residential buildings are expected to be less influenced by outside with high-insulation and shading. In such residential buildings, the heating and cooling loads and the range of load changes reduce. So the ratio of loads handled by TABS can increase. Therefore, this research investigates the cooling performance and energy performance of TABS in the residential buildings with less influence from outside using the simulation.

• 에너지공학
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• 제26권4호
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• pp.29-34
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• 2017

제로에너지빌딩의 요소는 크게 액티브 요소와 패시브 요소 두 가지로 나뉘며, 패시브 요소의 경우 단열, 창호, 차양, 외부분 등 건물의 단열, 열교 성능 등을 나타내는 요소들을 지칭하며, 액티브 요소의 경우는 에너지생산량 및 효율 계수 등을 나타내는 요소이다. 액티브 요소의 에너지생산량은 일반적으로 신재생에너지 발전을 통해 이루어진다. 본 연구에서는 신재생에너지 발전이 아닌 V2B(Vehicle to Building)라는 전기차의 양방향 충방전 기술이 제로에너지빌딩에 액티브 요소로 적용될 경우 어느 정도의 영향을 미칠지에 대해 예측하였다. 신재생발전의 경우 지리, 기후환경에 따라 발전량이 예측될 수 있지만 V2B의 경우 전기차 이용자의 방전의사, 가용 충전기의 대수 등 여러 가지 입력변수를 고려하여 예측하여야 한다. 예측한 결과에 따라 V2B가 제로에너지빌딩의 액티브 요소에 얼마나 기여할 수 있는지 확인 할 수 있으며, 해당 예측은 통계자료가 부족한 실정이기에 확률적 방법을 이용하여 예측해야한다. 본 연구에서는 해당 확률적 방법 중 몬테카를로 방법을 이용하여 DR(Demand Response)발령 시간대를 기준으로 충방전 패턴의 변화를 예측하였다.