Evaluation of energy consumptions for office building : Case Study of Reconditioned Building

الملخص EN

Presented paper focuses on the minimum requirements of HVAC (Heating, Ventilating and Air-Conditioning) central systems that used for specified buildings, which affected by application, utilization, and occupation changes.

Investigation is devoted to the analysis and validation of both field case studies and simulation tasks.

This is accomplished by using two approaches.

First approach is directly related to the survey data collected from fields and in-operation systems, these data are either collected manually or from the BMS-systems then they compared with the output results of the Second approach, which is the numerical simulation methodologies utilizing different Hourly Analysis Simulation Programs [HASP].

The present work dealt with private multi-story (ten floors) office building located in Cairo.

The building is centrally air-conditioned using eight air-cooled 20 T.

R direct expansion packaged units feeding each floor individually and each operates on weekly-programmed bases.

The footprint area of the building is about 330-m2 / floor including services.

The building had three exposed façade facing north, east and south exposures on which the (Widow Wall Ratio) WWR at north is about 75% (frameless reflected double structure glazing) and the WWR at east and west is about 25 % using standard double glass aluminum windows.

Remain exposure is totally coupled with other building.

The lighting intensity inside building is totally controlled by dimming systems and actuated from the BMS on which the lighting intensity ranged from 15 to 45 W / m2.

Finally the total power consumptions inside different spaces are ranged from 45 to 65 W / m2.

Building simplifications and occupancies, lighting, appliances, visitors and operation period’s schedules were prepared then it fed to computer based on Cairo Weather data and executed using HASP programs.

Collected data were tabulated and compared with field measured collected data.