Comprehensive On Site Thermal Diagnostics Of Buildings – Polish Practical Experience

Adaptive reuse of buildings is the process of renovating, or rehabilitating existing buildings, or structures to fulfill a use other than their current use [1]. Adaptive reuse of buildings can provide economic, social and environmental benefits to societies. The economic benefits can be achieved through reductions in the time and cost of realizing functional buildings [2]. Rehabilitated buildings can be configured quickly, in comparison to constructing new buildings, provided that their structural systems are adequate [3]. Additionally, rehabilitated buildings would cost less than new construction, since many of the building elements already exist [4]. The social benefits can be achieved by preserving historical buildings, which could be in advantageous locations [5]. The environmental benefits can be achieved through the reuse of the utilities and materials, including water, gas, and power systems, hence, reducing the demand to provide new utilities, as well as the amount of embodied energy produced through the manufacturing processes of construction materials [3]. Nevertheless, adaptively reused buildings could provide several building performance concerns for their users [6]. These concerns range from the lack of effec

Section: Technical Elements Of Performancementioning

confidence: 99%

Post Occupancy Evaluation of Adaptively Reused Buildings: Case Study of an Office Building in Saudi Arabia

Hamida

Hassanain

2020

“…50 periods have uncertainty in the range of 10-20% and most of them are based on September data (but on July data also). As part of the work on the Strategic Research Project described in [2] a similar analysis for the studied building was made using the data of the reference season [14], which is milder in comparison with the actual climate of 2011 for Gliwice. Percentage differences from -50 to 30% were obtained.…”

Section: Calculations Based On Monthly Datamentioning

confidence: 99%

Estimation Of The Seasonal Demand For Cooling Based On The Short-Term Data

Bartosz

Specjał

2017

In accordance with the requirements of the Directive on the energy performance of buildings [1], the energy performance of a building based on measurements may be an alternative for a computational one. In practice, it is important that the method should be relatively simple, based on short-term measurements in the real object. The annual heat consumption for heating and ventilation in reference climatic conditions is the basic component of the energy performance of buildings. The annual energy consumption for cooling and ventilation in public utility and office buildings in reference climatic conditions is the additional component. A b s t r a c t The paper analyzes the possibility of using the energy signature method based on the linear regression to determine the seasonal energy demand for cooling and ventilation in the office building. The "extended" energy signature method (H-m method) was described and applied. In accordance with Standard (EN 15603) the estimation of energy consumption for cooling can be performed for a period shorter than the entire season, but data range must be appropriate to obtain the correct accuracy of the results. The presented analysis concerns the uncertainty of estimation the seasonal demand for cooling and ventilation of the building based on monthly and 14-day data. The objective was to choose the shortest possible time period in order to obtain proper accuracy. It has been shown that the H-m method cannot be used to estimate cooling demand based on short-term (monthly or 14-days) data due to unacceptable uncertainty of results.S t r e s z c z e n i e W artykule przeanalizowano możliwość zastosowania metody sygnatury energetycznej opartej na regresji liniowej do wyznaczania sezonowego zapotrzebowania na energię do chłodzenia i wentylacji w budynku biurowym. Przedstawiono i zastosowano skorygowaną metodę sygnatury energetycznej (metodę H-m). Zgodnie z normą (EN 15603) szacowanie zużycia chłodu może być wykonywane dla okresu krótszego niż cały sezon, ale zakres danych musi być odpowiedni dla uzyskania właściwej dokładności wyników. Przedstawiona analiza dotyczy niepewności szacowania sezonowego zapotrzebowania budynku na chłód na podstawie danych miesięcznych i 14-dniowych. Celem był wybór najkrótszego możliwego do zastosowania metody okresu czasu, w którym uzyskuje się odpowiednią dokładność. Wykazano, że metody H-m nie można zastosować do szacowania zapotrzebowania na chłód na podstawie danych z krótkich okresów (miesięcznych, czy 14-dniowych), ze względu na nieakceptowane niepewności uzyskanych wyników.K e y w o r d s : Cooling; Energy demand; Energy performance; Energy signature; Linear regression; Office building.

“…"The development of thermal diagnostics of buildings" was predominantly carried out in the Department of Heating, Ventilation and Dust Removal at Silesian University of Technology. A detailed description of the scope of the project is given in [1]. In the first steps, the project group has developed quick methods of building diagnostics for different building components, i.e.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Energy Diagnostics Carried Out In a Residential Building – A Case Study

Bartosz

2018

The article presents the case study of the comprehensive diagnosis of an existing residential building with natural ventilation. The results of quick diagnostics of thermal insulation of the building, the heating system, ventilation, domestic hot water preparation and the quality of the environment in the rooms were presented. Based on the data obtained by measurements, the energy performance of the building was prepared using the building certification calculation method. The energy performance of the building was also prepared using the developed method of determining energy performance based on measurements.