• Title/Summary/Keyword: 건물에너지관리

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The 3 Step Expansion Strategy and Configuration of Smart Grid Station (스마트그리드 스테이션의 구성과 3단계 확산 전략)

  • Kim, Kun-Sung;Hwang, Woohyun;Yang, Chung-Ho;Geum, Dong-Jin;Kim, Suk-Cheol;Lee, Jung-ho;Seo, Jung-il
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.35-36
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    • 2015
  • 21세기 들어 지구온난화 현상이 심각해지면서 세계 각국의 온실가스 감축 노력이 추진되고 있다. 특히, 2005년 2월에 공식 발효한 교통의정서(Kyoto Protocol)에서 온실가스 배출에 실질적인 책임이 있는 38개 선진국을 대상으로, 2012년까지 1990년의 온실가스 배출량 대비 평균 5.2%의 감축을 의무화 한 것이다. 한국 정부 또한 2009년 11월 온실 가스 감축목표를 2020년 배출전망치(BAU : Business As Usual) 대비 30%로 결정하고 저탄소 녹색성장기본법에 명시하는 등 국제적 감축 행렬에 동참하였다. 한국 정부는 2009년 12월부터 2013년 5월까지 42개월간 제주도에서 스마트그리드 실증사업을 시행하였다. 본 논문에서는 제주 실증단지에서 개발된 기술을 이용하여 건물단위 에너지 통합관리를 할 수 있는 시스템으로서 스마트그리드 스테이션을 개발하여 현장에 적용하였고 이를 활용한 확산방안을 제시하고자 한다.

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Developing Optimal Pre-Cooling Model Based on Statistical Analysis of BEMS Data in Air Handling Unit (BEMS 데이터의 통계적 분석에 기반한 공조기 최적 예냉운전 모델 개발)

  • Choi, Sun-Kyu;Kwak, Ro-Yeul;Goo, Sang-Heon
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.26 no.10
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    • pp.467-473
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    • 2014
  • Since the operating conditions of HVAC systems are different from those for which they are designed, on-going commissioning is required to optimize the energy consumed and the environment in the building. This study presents a methodology to analyze operational data and its applications. A predicted operation model is to be produced through a statistical data analysis using multiple regressions in SPSS. In this model, the dependent variable is the pre-cooling time, and the independent variables include the power output of the supply air inverter during pre-cooling, the supply air set temperature during pre-cooling, the indoor temperature-indoor set temperature just before pre-cooling, supply heat capacity, and the lowest outdoor air temperature during non-cooling/non-heating hours. The correlation coefficient R2 of the multiple regression model between the pre-cooling hour and the internal/external factors is of 0.612, and this could be used to provide information related to energy conservation and operating guidance.

A Construction of the N-BMS Focused on the Building Service Equipment (N-BMS : National Building Management System) (건물 군관리시스템 구축방안)

  • Lee, Tae-Won;Kim, Yong-Ki;Kang, Sung-Ju
    • Proceedings of the SAREK Conference
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    • 2007.11a
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    • pp.149-154
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    • 2007
  • Now, in Korea, the performances of the building service equipment relay on the individual superintendent's share for the assessment of performance, fault detection, deterioration diagnosis of the building service equipment. As the result, very different quality of the performance or the durability of equipment is being obtained with his skill and effort and it is also not easy to assess that quality. This finally lead to the waste of labor force and the operating cost due to the high-cost, low-efficiency system. How to construct the N-BMS was considered to save energy, resource and to conserve performance of building service equipment. The FEMIS, facility, energy/environmental management & information system, for building service offer management process integrated with BAS, FMS and EMS and so on.

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Artificial Neural Network Models for Optimal Start and Stop of Chiller and AHU (인공신경망 모델을 이용한 냉동기 및 공조기 최적 기동/정지 제어)

  • Park, SungHo;Ahn, Ki Uhn;Hwang, Aaron;Choi, Sunkyu;Park, Cheol Soo
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.2
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    • pp.45-52
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    • 2019
  • BEMS(Building Energy Management Systems) have been applied to office buildings and collect relevant building energy data, e.g. temperatures, mass flow rates and energy consumptions of building mechanical systems and indoor spaces. The aforementioned measured data can be beneficially utilized for developing data-driven machine learning models which can be then used as part of MPC(Model Predictive Control) and/or optimal control strategies. In this study, the authors developed ANN(Artificial Neural Network) models of an AHU (Air Handling Unit) and a chiller for a real-life office building using BEMS data. Based on the ANN models, the authors developed optimal control strategies, e.g. daily operation schedule with regard to optimal start and stop of the AHU and the chiller (500 RT). It was found that due to the optimal start and stop of the AHU and the chiller, 4.5% and 16.4% of operation hours of the AHU and the chiller could be saved, compared to an existing operation.

Studies on Dry Matter Yields , Chemical Composition and Net Energy Accumulation in Three Leading Temperate Grass Species I. Influence of meteorolgical factors on the dry matter productivity and net energy value under different cutting management (주요 북방형목초의 건물수량 , 화학성분 및 Net Energy 축적에 관한 연구 I. 기상환경 및 예취관리에 따른 건물 및 에너지 생산성 변화)

  • F. Muhlschlegel;G. Voigtlander
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.6 no.2
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    • pp.103-110
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    • 1986
  • The experiments were carried out to study the influence of meteorological factors and cutting management on dry matter accumulation and net energy value in orchardgrass (Dactlylis glomerata L.) cv. Potomac and Baraula, perennial ryegrass (Lolium perenne L.) cv. Reveille and Semperweide and meadow fescue (Festuca pratensis Huds.) cv. Cosmos 11 and N.F.G.. The field trials were designed as a split plot design with three cutting regimes of 6-7 cuts at grazing stage, 4-5 cuts at silage stage and 3 cuts at hat stage in Korea and West Germany from 1975 to 1979. The results obtained are summarized as follows: 1. Productivity of orchardgrass, perennial ryegrass and meadow fescue were mainly affected by cutting systems and meteorological factors, especially air temperature, rainfalls, solar radiation and their interactions. In West Germany, cutting frequency was to be found asan most important factor influenced to dry matter yield and net energy value. 2. Orchardgrass, taken as average of all experimental sites in Korea, produced high yield of 875 kg/10 a in dry matter, which was as much as 32% and 27% higher than those of perennial ryegrass and meadow fescue, respectively. The annual dry matter yields of orchardgrass from 1976 to 1977 were shown a little variation. Dry matter yields in Freising and Braunschweig in West Germany were increased in all grass species continuously. 3. Orchardgrass, perennial ryegrass and meadow fescue showed different response to cutting frequency. The highest dry matter yields were found under 3 cuts at hay stage for orchardgrass and 4-5 cuts at silage stage for perennial ryegrass and meadow fescue. In West Germany, dry matter yields, as average of all grass species under different cutting systems, were 1326 kg, 1175 kg and 1098 kg/10a for 3 cuts, 4-5 cuts and 6-7 cuts, respectively. 4. Chemical composition and net energy concentration of temperate grasses were influenced by cutting managements. The highest yields of digestible crude protein were obtained under 6-7 cuts at grazing stage both in Korea and West Germany. In net energy yields, 3 cutting system produced the highest yield with 694 (orchardgrass), 665 (perennial ryegrass) an 623 kStE/10 a (meadow fescue). However, frequent cutting at grazing and silage stage produced higher yields than 3 cuts at hay stage in Cheju, Suweon and Taekwalyong.

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A Study on the Selection of Hydrogen Refueling Station Locations within Military Bases Considering Minimum Safe Distances between Adjacent Buildings (인접 건물 간 최소 안전거리를 고려한 군부대 내 수소충전소 위치선정 연구)

  • Dong-Yeon Kim;Hyuk-Jin Kwon
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.171-180
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    • 2023
  • Hydrogen energy technology is gaining importance in the era of the Fourth Industrial Revolution, offering military advantages when applied to military vehicles due to its characteristics such as reduced greenhouse gas emissions, noise, and low vibration. Korea's military has initiated the Army Tiger 4.0 plan, focusing on hydrogen application, downsizing, and AI-based smart features. The Ministry of National Defense plans to collaborate with the Ministry of Environment to expand hydrogen charging stations nationwide, anticipating increased deployment of military hydrogen vehicles. However, considering the Jet Fire and VCE(Vapor Cloud Explosion) nature of hydrogen, ensuring safety during installation is crucial. Current military guidelines specify a minimum safety distance of 2m from adjacent buildings for charging stations. Scientific methods have been employed to quantitatively assess the accident damage range of hydrogen, proposing a minimum safety distance beyond the affected area.

An Analysis of Literature Trends in Green Library (녹색도서관 분야 연구 동향에 관한 분석)

  • Ahn, In-Ja;Kwak, Chul-Wan;Noh, Younghee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.1
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    • pp.189-205
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    • 2013
  • The purpose of this study is to describe the trends and contents of literature in green library and to suggest the research direction on green library. Earlier studies focus on the green library architecture and necessity, after then green library management studies have proliferated. Green library architecture studies have emphasized on 'energy and atmosphere' and 'indoor environmental quality' based upon 5 categories of LEED evaluation system. Green library management studies have focused on library resources recycling and utilizing energy through effective management of library collection. Based on the analysis of literature, five research directions are suggested, such as the number of libraries in an area, library shelf position and space, library space program, collection ratio for library storage, and user studies.

Importance of Preliminary Validation of Exterior Wall Thermal Resistance in the Evaluation Context of Building Energy Retrofit Projects (그린리모델링 성과 평가 관점에서 본 준공 시점 단열 성능 검증의 중요성)

  • Seungmin Lim;Soyeon Kim;Changoh Kang;Gain Kim;Jongyeon Lim
    • Land and Housing Review
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    • v.15 no.2
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    • pp.29-37
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    • 2024
  • This study investigates the thermal conductivity and density of expanded polystyrene insulation materials collected from buildings under going energy retrofit projects. Due to the absence of initial thermal conductivity data, determining precise long-term patterns was challenging. Analysis based on design documents revealed that expanded polystyrene insulation maintained consistent performance over ten years. Notably, the thermal conductivity measurements of insulation samples of the same grade and age varied significantly. Additionally, the insulation density was found to be substantially below the standard specified in the design documents. The results of the experiment indicate that performance management during both construction and operation phases is lacking. It is crucial to apply building commissioning, which involves performance verification throughout the building's life cycle, to properly evaluate building energy performance improvements, such as building energy retrofit projects.

Improvement and Evaluation of Seismic Performance of Reinforced Concrete Exterior Beam-Column Joints using Embedded CFRP Rods and CFRP Sheets (매입형 CFRP Rod와 CFRP시트를 활용한 RC 외부 보-기둥 접합부의 내진성능 평가 및 개선)

  • Ha, Gee-Joo;Kang, Hyun-Wook
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.18 no.3
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    • pp.40-48
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    • 2014
  • In this study, experimental research was carried out to evaluate and improve the seismic performance of reinforced concrete beam-column joint regions using strengthening materials (embedded CFRP rod and CFRP sheet) in existing reinforced concrete building. Therefore it was constructed and tested six specimens retrofitting the beam-column joint regions using such retrofitting materials. Specimens, designed by retrofitting the beam-column joint regions of existing reinforced concrete building, were showed the stable failure mode and increase of load-carrying capacity due to the effect of crack control at the times of initial loading and confinement of retrofitting materials during testing. Specimens RBCJ-SRC2, designed by the retrofitting of CFRP Rod and CFRP Sheet in reinforecd beam-column joint regions were increased its maximum load carrying capacity by 1.97 times and its energy dissipation capacity by 2.08 times in comparison with standard specimen RBCJ for a displacement ductility of 4 and 7. Also, specimens RBCJ-SRC2 were increased its maximum load carrying capacity by 1.09~1.11 times in comparison with specimen RBCJ-SR series. And Specimens RBCJ-CS, RBCJ-SR series, RBCJ-SRC2 were increased its energy dissipation capacity by 1.10~2.30 times in comparison with standard specimen RBCJ for a displacement ductility of 5, 6.

Evaluation Method of Green Construction Technologies Using Integrated LCC and LCA Analysis (LCC-LCA 통합 분석에 의한 친환경 건설기술 평가방법)

  • Kim, Yoon-Duk;Cha, Hee-Sung;Kim, Kyung-Ra;Shin, Dong-Woo
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.3
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    • pp.91-100
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    • 2011
  • Green technologies of buildings are spreading for saving resource and energy consumption during life cycle of buildings. However, selection of optimized the technologies for applying projects is needed a lot of time and costs. Therefore prioritization is necessary to apply the technologies for buildings. An evaluation of economic value for the technologies is significant for prioritization of the technologies, however, the current evaluation system of economic value for technologies is not reflected the accurate features of the technologies. Green technologies have the objectives for reducing the emission of CO2 and saving the cost during the whole lifecycle of buildings. Thus the evaluation of economic feasibility for green technologies is needed to include the economic value from improving the environment. This paper developed the economic evaluation method integrated with LCC and LCA to accurately analyze the economic value for green technologies. Moreover, this paper drew the priority of the technologies by conducting case studies with the integrated method and analyzing the results with AHP. The conclusion of case studies, Green technologies is worth more if to include the economic value from improving the environment. Then in analysis of priority, Green intelligent component technologies were rated the highest. The conclusion of the study is able to utilize the supporting tool for making decision to select the optimized technologies for the projects and precedence study for developing future research of prioritization for green technologies. The future study for improving the developed method will supplement the various evaluation factors and apply the detailed weight to analyze the priority of green technologies.