• Title/Summary/Keyword: National building energy database

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A Study on the Analysis and Methods to Improve the Management System for Building Energy Database (국가 건물에너지통합관리시스템의 데이터 품질 분석 및 개선방안 연구)

  • Kim, Sung-Min;Yoon, Jong-Don;Kwon, Oh-In;Shin, Sung-Eun
    • Journal of Energy Engineering
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    • v.25 no.1
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    • pp.131-144
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    • 2016
  • Damage occur frequently around the world on climate change and the main cause of greenhouse gas emissions regulation is growing. To this end, the government has built integrated management system for national building energy. The building energy information is total 6.8 million complex. Integrated management system for national building energy database are matched building registers information and energy information of the supply agencies. However, the matching process has its limitations so advanced work is in progress continuously. This study analyzed integrated management system for national building energy database quality and limitations and deduce improvement plan to increase system reliability and availability. The existing database matching average rate is 85.6%. 58.2% of the total non-matching data type has no building information. To ensure the ease of new database matching and the accuracy of the existing database matching, address standarization and building properties system are needed between building information and energy information. Also, The system construction is required to include information on other energy sources like petroleum energy which has high proportion of non-urban areas and small residential areas and renewable energy which has high potential in development and utilization.

Greenhouse Gas Emissions from Building Sector based on National Building Energy Database (국가 건물에너지 통합DB 기반 건물부문 온실가스 배출현황)

  • Ji, Chang-Yoon;Choi, Min-Seok;Gwon, Oh-In;Jung, Ha-Rim;Shin, Sung-Eun
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.36 no.4
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    • pp.143-152
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    • 2020
  • This study analyzes in detail greenhouse gas emissions in building sector. To this end, this study used data on building characteristics (including building type, region, and construction year) and monthly energy consumptions (including electricity, city gas, and district heat) for all buildings from 2015 to 2018. These data were collected from the National Building Energy Database and the energy consumptions were converted into greenhouse gas (GHG) emissions. The total amount of GHG emissions from the building sector has increased steadily from 2015 (118.1MtCO2eq.) to 2018 (132.6MtCO2eq.). On the other hand, the more recently constructed buildings had lower GHG intensities. This result shows that strengthening building design criteria was effective on the reduction of GHG emissions in buildings, and that the increased buildings contributed to increasing GHG emissions of the building sector. In addition, sales facilities are thought to have the largest reduction potential as they had the highest amount of GHG emissions and GHG intensity. This study is expected to help establish new policies for GHG reduction in building sector as well as to evaluate the effects of existing policies.

Utilizing public data to promote renewable energy supply -Focusing on geothermal energy related data- (신재생에너지 보급 활성화를 위한 공공데이터 활용 방안 -지열에너지 연관 데이터를 중심으로-)

  • Gim, Yu-Seung;Ryu, Hyung-Kyou;Choi, Seung-Hyuck
    • Journal of the Korea Convergence Society
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    • v.9 no.11
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    • pp.253-262
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    • 2018
  • Recently, the energy industry is implementing renewable energy supply policy to reduce energy consumption. The purpose of this study is to build a database that can help promote the supply of geothermal energy system to prepare for the increase of renewable energy demand and to develop a method to evaluate the possibility of geothermal energy system installation by using database information. The data used in the study was reliable using open data provided by national agencies. We obtained information necessary for the possibility of geothermal energy system installation, constructed a dedicated database, and studied the method of calculating the geothermal well capacity by using the database information. In the future, this study will establish a local environmental evaluation standard and add information on other renewable energy to contribute to the activation of renewable energy supply.

Software Development on Power and Economic Analysis of Photovoltaic System for Building Application (건물용 태양광발전 시스템 성능 및 경제성 평가 프로그램 개발 연구)

  • Yoon, Jong-Ho;Shin, U-Cheul;Park, Jae-Wan
    • Journal of the Korean Solar Energy Society
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    • v.28 no.1
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    • pp.1-8
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    • 2008
  • The aim of this study is to develop the photovoltaic simulation program, called SimPV, which can Predict hourly based power generation of various PV modules and conduct an intensive economic analysis with Korean situation. To establish the reliability of the PV simulation results, we adopt the PV calculation algorithm of TRNSYS program of which verification has already well approved. Extensive database for hourly weather data of Korean 16 cities, engineering data for PV system and building load profiles are established. Case study on the 2.5kW roof integrated PV system and economic analysis are presented with the developed program.

A Study on Energy Use Monitoring and Analysis Case for Small and Medium-Sized Buildings (중소형 건물에 적합한 에너지사용량 모니터링 및 분석 사례 연구)

  • Lee, Hye-Jin;Kim, Myung-Jin;Kim, Jin-Ho;Lee, Dongho
    • Journal of the Korean Society of Industry Convergence
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    • v.22 no.5
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    • pp.499-509
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    • 2019
  • This paper discusses energy use monitoring and analysis as part of a study on a low-cost energy supply management system that links an existing database with weather information with no real-time monitor for energy demand of buildings using renewable energy, generator and energy storage systems. This study is targeted at small and medium-sized buildings and aims to monitor energy use with a small number of sensors at low cost by applying an energy management system (EMS). The present study can help overcome the limitations of high-cost EMS applied to large commercial and public buildings. We developed current, indoor temperature and human motion sensors and installed them in an office of a company in a sample building. Through these sensors, we analyzed energy use patterns and the effects of weather information and human motion on the energy use. Furthermore, we analyzed the correlations between the total KEPCO energy use of the sample building and weather by comparing these two data. The results showed that the office energy use of a company was more affected by human motions than by weather information. The comparison between the total energy use of the Building and weather information found that external temperature had an effect on the energy use.

Application of Input-Output Table to Estimate of Amount of Energy Consumption and CO2 Emission Intensity in the Construction Materials -Focusing on Input-Output Tables Published in 2005, 2007- (건축공사 주요자재별 에너지소비량 및 CO2 배출 원단위 값 산출에 산업연관표 적용 적정성 검토 연구 -2005년, 2007년 산업연관표를 중심으로-)

  • Jung, Young-Chul;Kim, Sung-Eun;Jang, Young-Jun;Kim, Tae-Hui;Kim, Gwang-Hee
    • Journal of the Korea Institute of Building Construction
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    • v.11 no.3
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    • pp.247-255
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    • 2011
  • Currently, there is database for per unit requirements of major construction materials in terms of energy consumption and $CO_2$ emission based on the input-output table published by the Bank of Korea in 2000, but no database for per unit requirements based on input-output tables was published in 2005 and 2007. The purpose of this study was to calculate the unit requirement values of major construction materials in terms of energy consumption and $CO_2$ emission generated by using the input-output tables published in 2005 and 2007. To estimate the unit requirement values, a database building method with the input-output tables was adopted by selecting 16 types of construction materials in wide use on construction sites. When the study results were compared with existing unit requirement values based on the input-output table of 2000, there were small discrepancies, from which it can be interpreted that the method used in the study is reasonable. Unit requirement values estimated based on input-output tables of 2005 and 2007 tended to decrease, and the highest value of energy consumption and $CO_2$ emission were found in the materials using cement and rebar.

A Framework of Building Knowledge Representation for Sustainability Rating in BIM

  • Shahaboddin Hashemi Toroghi;Tang-Hung. Nguyen;Jin-Lee. Kim
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.437-443
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    • 2013
  • Recently, sustainable building design, a growing field within architectural design, has been emerged in the construction industry as the practice of designing, constructing, and operating facilities in such a manner that their environmental impact, which has become a great concern of construction professionals, can be minimized. A number of different green rating systems have been developed to help assess that a building project is designed and built using strategies intended to minimize or eliminate its impact on the environment. In the United States, the widely accepted national standards for sustainable building design are known as the LEED (Leadership in Energy and Environmental Design) Green Building Rating System. The assessment of sustainability using the LEED green rating system is a challenging and time-consuming work due to its complicated process. In effect, the LEED green rating system awards points for satisfying specified green building criteria into five major categories: sustainable sites, water efficiency, energy and atmosphere, materials and resources, and indoor environmental quality; and sustainability of a project is rated by accumulating scores (100 points maximum) from these five major categories. The sustainability rating process could be accelerated and facilitated by using computer technology such as BIM (Building Information Modeling), an innovative new approach to building design, engineering, and construction management that has been widely used in the construction industry. BIM is defined as a model-based technology linked with a database of project information, which can be accessed, manipulated, and retrieved for construction estimating, scheduling, project management, as well as sustainability rating. This paper will present a framework representing the building knowledge contained in the LEED green building criteria. The proposed building knowledge framework will be implemented into a BIM platform (e.g. Autodesk Revit Architecture) in which sustainability rating of a building design can be automatically performed. The development of the automated sustainability rating system and the results of its implementation will be discussed.

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Earthquake Damage Assessment of Buildings Using Opendata in the Pohang and the Gyeongju Earthquakes (Opendata 기반 포항 및 경주지진에 의한 건물손상 평가)

  • Eem, Seung-Hyun;Yang, Beomjoo;Jeon, Haemin
    • Journal of the Earthquake Engineering Society of Korea
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    • v.22 no.3
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    • pp.121-128
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    • 2018
  • Severe earthquakes can cause damage to society both socially and economically. An appropriate initial response can alleviate damage from severe earthquakes. In order to formulate an appropriate initial response, it is necessary to identify damage situations in societies; however, it is difficult to grasp this information immediately after an earthquake event. In this study, an earthquake damage assessment methodology for buildings is proposed for estimating damage situations immediately after severe earthquakes. A response spectrum database is constructed to provide response spectra at arbitrary locations from earthquake measurements immediately after the event. The fragility curves are used to estimate the damage of the buildings. Earthquake damage assessment is performed from the response spectrum database at the building scale to provide enhanced damage condition information. Earthquake damage assessment for Gyeongju city and Pohang city were conducted using the proposed methodology, when an earthquake occurred on September 12, 2016, and November 15, 2017. Results confirm that the proposed earthquake damage assessment effectively represented the earthquake damage situation in the city to decide on an appropriate initial response by providing detailed information at the building scale.

A Study on the Application of Simulation-based Simplified PMV Regression Model for Indoor Thermal Comfort Control (실내 온열환경 쾌적 제어를 위한 단순 PMV 회귀모델의 적용에 관한 시뮬레이션 연구)

  • Kim, Sang-Hun;Yun, Sung-Jun;Chung, Kwang-Seop
    • Journal of Energy Engineering
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    • v.24 no.1
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    • pp.69-77
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    • 2015
  • The PMV regression analysis was conducted for this model based on a database of the PMV variables. PMV regression model simplification was completed through sensitivity and data analysis. The simplified PMV regression model's and Fanger PMV model was confirmed through MAE and RMSE. And the EMS in EnergyPlus was used to establish a simplified PMV regression analysis-based thermal comfort control. Also, the thermal comfort controls based on simplified PMV model and the Fanger PMV model were applied to the building model, it was confirmed that both controls met the thermal comfort range in more than 90% of cases during the air conditioning period.

Effect of the Application of Safety Patrol Management System(SPMS) upon the Reduction of Disaster & Accident Occurrences in Construction Site (전문 안전 순찰 관리시스템(SPMS)의 도입에 따른 건설 현장의 재해 및 사고 발생 저감 영향 분석)

  • Yoon, Yeo-Chan;Chung, Kwang-Seop;Kim, Young-Il;Kim, Gyeong-Ho
    • Journal of the Korea Safety Management & Science
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    • v.16 no.2
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    • pp.53-61
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    • 2014
  • The disaster and safety accidents in any construction site occur inevitably. Since the on-site disaster and accident occurrence became one of major concerning factors in construction site, architects & building executers have been flooded with safety management advices. The purpose of this paper is to survey and analyze the effect of the application of Safety Patrol Management System(SPMS) upon the reduction of disaster & accident occurrences in construction site. In order to estimate and reduce the disaster and accident ratio in construction site, various surveyed data has been analysed. It will establish the suitable design standards and suggest the basic database for estimating disaster and accident ratio.