• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.22 no.6
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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.

• Proceedings of the SAREK Conference
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• 2009.06a
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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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• s.306
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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.

• Journal of the Korean housing association
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• v.23 no.2
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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.

• Journal of Energy Engineering
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• v.26 no.4
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• pp.29-34
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• 2017

Factors of Zero-Energy Building are divided into active and passive factor. Passive factor means insulation, heat bridge of building like insulation, windows and doors, awning, outside etc. and active factor means energy output and efficiency coefficient. Energy output of active factor is achieved by new generating energy. This study anticipated how many effects will be produced when not new generating energy but Vehicle to Building; V2B, bi-directional charging and discharging technology, is applied to Zero-Energy Building. In new generating energy, power generation will be anticipated by geography and climate, but in V2B, several input variable like user's discharging intention and number of usable charger etc. should be considered. We can check how much V2B contribute to the Zero-Energy Building by anticipated results, and that results should be anticipated by using probabilitic method because there is few statistical data. This study anticipate change of charging and discharging pattern, based by Demand Response slot, by using monte carlo method among the probabilitic methods.