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A Study on continuous commissioning case through analysis of BEMS data - Optimum Start control of AHU in winter
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BEMS를 이용한 지속적인 커미셔닝 사례연구 : 동절기 공조기 최적기동 제어 중심으로

논문 기본 정보

Type
Proceeding
Author
Sun-Kyu Choi (SK텔레콤) Yong-Ho Shin (SK텔레콤) Aaron Hwang (SK텔레콤) Hyeun-Jun Moon (단국대학교)
Journal
The Society Of Air-Conditioning And Refrigerating Engineers Of Korea 대한설비공학회 학술발표대회논문집 대한설비공학회 2015년도 하계학술발표대회
Published
2015.6
Pages
343 - 347 (5page)

Usage

cover
📌
Topic
본 연구는 BEMS 데이터를 분석하여 겨울철 공조기의 최적 기동 제어를 통해 지속적인 커미셔닝 사례를 제시하는 것을 목표로 한다.
📖
Background
건물 운영단계에서 에너지 절약의 필요성이 커짐에 따라 BEMS의 사용이 증가하고 있으며, 이는 기존 시설의 운영 효율성을 개선하고 에너지 비용 절감을 위한 정보를 제공하려는 목적이다.
🔬
Method
본 연구는 BEMS 데이터베이스를 통해 외부 및 내부 요인을 분석하여, 다중 회귀 분석법을 통해 공조기의 최적 예열 시간을 도출하고 이를 기반으로 한 예열 조건을 제시한다.
🏆
Result
연구 결과, 공조기 가동시간이 약 20% 단축되었으며, 최적화된 예열시간을 적용할 경우 최대 92.4%의 에너지 절감 효과를 확인할 수 있었다.
A Study on continuous commissioning case through analysis of BEMS data - Optimum Start control of AHU in winter
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Research history (3)

2015

A Study on continuous commissioning case through analysis of BEMS data - Optimum Start control of AHU in winter
Sun-Kyu Choi ,  Yong-Ho Shin ,  Aa and others 2 대한설비공학회 학술발표대회논문집 2015.06 Proceeding
A study on the factors influencing the optimum start of AHU during summer and its predictive model
최선규 건축공학과 2015.01 Thesis

2013

Studied on continuous commissioning case through analysis of BEMS data
Sun-Kyu Choi ,  Sung-Ho Pa ,  k and others 2 대한설비공학회 학술발표대회논문집 2013.06 Proceeding
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Abstract· Keywords

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This paper presents a continuous commissioning case of a building which has building management system. The continuous commissioning process focuses on improving overall system control and operations for the occupied building to meet the existing facility needs which might be different from the initial design. This approach is used to implement optimal schedules to ensure the persistence of the improved operational schedules. The intent of this paper is to provide building operation manager and practitioner with information that will achieve cost benefits through energy saving of HVAC operation. Based on the analysis of the BEMS data, it is found that the indoor temp. change during non-occupancy is a key factor for efficiency in winter and that the building would have cost benefits through adjusting HVAC operation schedule for Warming-up. Energy savings in the office building(2) appeared to be about 92.4%.
#BEMS(건물에너지관리시스템) #Warming-up(예열) #Continuous Commissioning(지속적 커미셔닝) #MRA Method(다중회귀분석법)

AI Summary

Topic

본 연구는 BEMS 데이터를 분석하여 겨울철 공조기의 최적 기동 제어를 통해 지속적인 커미셔닝 사례를 제시하는 것을 목표로 한다.

Background

건물 운영단계에서 에너지 절약의 필요성이 커짐에 따라 BEMS의 사용이 증가하고 있으며, 이는 기존 시설의 운영 효율성을 개선하고 에너지 비용 절감을 위한 정보를 제공하려는 목적이다.

Method

본 연구는 BEMS 데이터베이스를 통해 외부 및 내부 요인을 분석하여, 다중 회귀 분석법을 통해 공조기의 최적 예열 시간을 도출하고 이를 기반으로 한 예열 조건을 제시한다.

Result

연구 결과, 공조기 가동시간이 약 20% 단축되었으며, 최적화된 예열시간을 적용할 경우 최대 92.4%의 에너지 절감 효과를 확인할 수 있었다.

주요내용

Contents

Abstract
1. 서론
2. 분석 방법 및 대상
3. 분석 및 고찰
4. 결론
참고문헌

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UCI(KEPA) : I410-ECN-0101-2016-553-001574086