• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.31 no.4
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• pp.7-11
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• 2002

최대부하 및 기간부하, 쾌적성능, 부분적 시스템 성능, 자연에너지 활용 시스템 등 건물의 종합적 에너지 성능을 평가하는 대표적 프로그램의 기술동향을 고찰한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1235-1242
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• 2013

This study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in EnergyPlus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the EnergyPlus. We can obtain the input values about HVAC system and building environment such as HVAC system efficient, the number of air changes and energy consumption of equipment on applying GAs (Genetic algorithms). After modification about HVAC system, Optimization about HVAC system energy consumption can be analyzed. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of "supply air temperature schedule". Throughout the supply air temperature schedule is applied to energy performance simulation, we obtained energy saving effect result on simulation.

• Journal of the Korean Solar Energy Society
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• v.40 no.5
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• pp.47-58
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• 2020

Ministry of Land, Infrastructure and Transport(MOLIT) has increased reduction rate from 18.1% to 32.7% in Building sector compared to BAU of the national greenhouse gas emission according to the 2030 Greenhouse Gas Reduction Road map Amendment. For this purpose, MOLIT has been activating the green remodeling projects for existing buildings. Considering that 15 year old buildings after completion are 74% (5.25 million buildings) among about 7 million existing building stocks in Korea, reduction of building energy consumption by green remodeling is urgently needed, However, it is a major difficulty of activation for green remodeling projects because there are few case studies on Before and After building energy consumption of actual green remodeling projects. Considering that building energy performance and value increase after green remodeling through previous researches, additional studies of the energy consumption assessment on actual green remodeling projects are essential. Therefore, this study aims to propose results on Before and After building energy consumption of actual green remodeling projects.

• Journal of the Korean Solar Energy Society
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• v.38 no.5
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• pp.75-84
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• 2018

The most crucial point of reducing building energy is application of high performance envelope. The amount of heat exchange through window is highest in comparison of other envelopes so that heat exchange through window influence directly with building energy consumption. The window energy performance can be define with thermal, leakage and optical performance. In previous study we can confirmed that not only thermal performance but also optical performance are considered, 11% to 15% of building energy consumption can be reduced. Smart window system has potential of energy saving so that many industry field use smart window system including architectural area and these aspect causes smart window market continuous growth year by year. In this study, building energy consumption has been analyzed which consist of smart window that dynamically control optical states. The consideration of standard commercial building model for research, the reference medium size commercial building model of DOE (Department Of Energy, USA) has been used. The building energy simulation result of 4 axis in 8 regions in Korea shows 8% to 22% reduction of building energy consumption by application of smart window system.

• Journal of the Korean Wood Science and Technology
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• v.44 no.5
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• pp.655-663
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• 2016

Increasing green house gas and it consequent climate change problems are discussed as a global issue. Accordingly, future local green house gas emission will increase up to 40% of the entire local green house gas emission and therefore, efforts to reduce the emission in construction industry is urgently required. Therefore, in this study, heating energy demand was analyzed by using the EnergyPlus simulation according to wood material finishes configuration. EnergyPlus has the entry for a variety of buildings and heating, ventilation, air conditioning (HAVC) system components, in particular buildings, air conditioning systems, and performs simultaneous integrated calculated through the feedback between the heat source unit, a verification program according to the ASHRAE Standard 140-2007 to be. The climate data for the simulation we used the data IWEC in Incheon and Gwangju provided by EnergyPlus. The analysis of simulation model was farm and fishing house standard design drawings: 2012, presented at the Korea Rural Community Corporation. The results of simulation of central region and southern region were effected by wood products of simulation model into the interior finish, exterior finish, windows, wooden structure. Also, it was confirmed that the reduced heating energy demand.

• Journal of the Korean Solar Energy Society
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• v.27 no.2
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• pp.103-109
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• 2007

This study was focused on the establishment of a fundamental DB(database) that is available in the building design process, so we performed the simulation analysis about the energy consumption on the various same volume buildings. Because energy consumption in building is affected by the exterior surface area, the ratio of long/short length in surface and the adjacent internal surface area etc.. For these purpose, we assumed the unit module and made a constructable 16 model buildings which are composed of the 16 unit modules. Then we analyzed the simulation using the TRNSYS 16 and the Seoul weather data. In results, energy consumption in building is more reduced that in case of the smaller exterior surface area, the lower stories building and the larger adjacent surface area etc.. Further study is to be required the sensitivity analysis on the various weather conditions, building shapes and window area etc..

• Journal of the Korean Solar Energy Society
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• v.40 no.1
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• pp.15-24
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• 2020

Building energy consumption generally depends on living patterns of residents and outdoor air temperature changes. Although outdoor air temperature changes effect on building energy consumption, there is no calibration method for the comparison before and after Green Remodeling or BEMS installation etc., Big data of building energy consumption are collected and managed by 『National Integrated Management System of Building Energy』 in Korea, and they are utilized for the development of a calibration method for individual buildings as shown as the calibration method for small-area building stocks in the previous research. This study aims to develope a calibration method using big data of building energy consumption of individual buildings and outdoor air temperature changes, and to propose application of appropriate calibration methods for individual buildings or small-area building stocks according to the calibration purpose and conditions.

• Land and Housing Review
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• v.3 no.3
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• pp.263-270
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• 2012

Energy consumption of building is given a sizable portion in total national energy conservation. From this reason, the integrated management system of national building energy was proposed to manage energy usage and of which feasibility study was demonstrated in Seoul at 2010. Expansion of the application availability for the aforementioned system, energy policies etc. have focused on the building sectors and future uses and developments are investigated. Specially, energy consumption and building documentary DB are useful to validate energy usage for each building and define to remodelling effect before and after. Furthermore, in this study, a number of developments and applications of the system and future uses of energy usage data can be identified.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2135-2137
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• 2001

지구에 공급되는 태양열은 지구상의 모든 인간이 필요로 하는 총 에너지량의 10,000배 이상으로 매우 풍부할 뿐만 아니라 무공해 에너지원으로 매우 좋은 조건을 갖추고 있는데 비해 실제 이용은 태양광 발전장치와 온수 난방에 한정되어 있다. 특히 우리나라는 일사량이 풍부하고 인구밀집 거주지역이 많아 태양에너지 이용이 적절한 것으로 분석된 바 있으며, 환경오염문제가 심각하게 대두되고 있는 상황에서 에너지와 환경문제를 동시에 해결할 수 있는 태양 에너지에 대한 기술개발 및 보급이 반드시 필요하다고 판단된다. 본 연구는 태양광을 집광하여 건물 내에 분배하는 장치를 개발하여 건물 전체 전기에너지 소비량의 약1/3을 차지하고 있는 조명용 전기에너지를 절약함으로써 에너지 절약은 물론 환경오염을 줄이는데 그 목적을 두고 있다.

• Smart Media Journal
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• v.12 no.11
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• pp.18-26
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• 2023

The building energy management system (BEMS), a system designed to efficiently manage energy production and consumption, aims to address the variable nature of power consumption within buildings due to their physical characteristics, necessitating stable power supply. In this context, accurate prediction of building energy consumption becomes crucial for ensuring reliable power delivery. Recent research has explored various approaches, including time series analysis, statistical analysis, and artificial intelligence, to predict power consumption. This paper analyzes the strengths and weaknesses of the Prophet model, choosing to utilize its advantages such as growth, seasonality, and holiday patterns, while also addressing its limitations related to data complexity and external variables like climatic data. To overcome these challenges, the paper proposes an algorithm that combines the Prophet model's strengths with the gated recurrent unit (GRU) to forecast short-term (2 days) and medium-term (7 days, 15 days, 30 days) building energy consumption. Experimental results demonstrate the superior performance of the proposed approach compared to conventional GRU and Prophet models.