• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.523-526
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• 2015

In recent years, building commissioning has often been part of a standard delivery practice in construction, particularly in the high-performance green building market, to ensure the building is designed and constructed per owner's requirements. Commissioning, therefore, intends to provide quality assurance that buildings perform as intended by the design and often helps achieve energy savings. Commissioning, however, is not as widely adopted as its potential benefits are perceived. Owners are still skeptical of the cost-effectiveness claims by energy management and commissioning professionals. One of the issues in the current commissioning practice is that not every project is guaranteed to benefit from the commissioning services. This, coupled with its added cost, the commissioning service is not acquired with great acceptance and confidence by building owners. To overcome this issue, this paper presents a unique methodology to enhance owner's predicting capability of the degree of success of commissioning service using the Bayesian theorem. The paper analyzes a situation where a future building owner wants to use a pre-commissioning in an attempt to refine the success rate of the future commissioned building performance. The author proposes the Bayesian theorem based framework to improve the current commissioning practice where building owners are not given accurate information how much successful their projects are going to be in terms of energy savings from the commissioning service. What should be provided to the building owners who consider their buildings to be commissioned is that they need some indicators how likely their projects benefit from the commissioning process. Based on this, the owners can make better informed decisions whether or not they acquire a commissioning service.

• 설비공학논문집
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• 제26권10호
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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.

• 토지주택연구
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• 제15권2호
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• pp.29-37
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• 2024

본 논문에서는 공공건축물 그린리모델링 과정에서 철거되는 단열재 샘플을 수거하여 열전도율과 밀도 등 단열성능과 관련된 물성치에 대한 측정 결과를 제시하였다. 단열재의 장기 열저항은 제조 초기 단계의 열전도율을 추정하기 위한 자료가 남아있지 않다는 한계로 인해 정확한 변화 양상을 도출하기 어려웠지만, 설계도서를 통해 추정한 정보에 기반하여 비드법 단열재의 경우 기존 지식과 동일하게 설치 후 10년 이상 경과 시 성능변화가 크지 않다는 결과를 얻을 수 있었다. 하지만 동일 등급, 동일 경과 기간의 단열재에서 측정된 열전도율의 편차가 크고, 특히 단열재 샘플의 밀도가 설계도서상에 기재된 설치 단열재의 등급 기준에 크게 못 미친다는 결과를 얻었다. 준공 시점 및 운영 단계의 성능 관리가 되지 않고 있다는 것을 보여주는 실험 결과이며, 그린리모델링 등 건축물에너지 성능 개선을 적절히 평가하기 위해서는 건물생애주기에 걸친 성능 검증인 빌딩커미셔닝의 적용이 중요하다.

• 시스템엔지니어링학술지
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• 제14권1호
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• pp.13-18
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• 2018

Plant Engineering is a series of activities going through following life cycle phases: planning, basic design, detailed design, procurement and construction, commissioning, operation and maintenance, to produce a target product. From among these phases of plant engineering life cycle, a detailed design phase is an important phase producing final design deliveries. Luckily, through technical co-operation and experiences of constructing plants, large Korean engineering companies have accumulated know-hows of efficient detailed designs. However, smaller engineering companies have less experience of performing detailed designs so there is always a risk of causing design errors in the detailed design phase. To mitigate the risk of design errors in the detailed design phase, it is necessary to systematize a concrete activity model of a detailed design phase. In this paper, we have developed a prototype of a detailed design activity model through a widely used function modeling methodology called IDEF0.