This study presents energy consumption prediction equations developed by conducting multiple regression analyses of data collected in surveys of actual states of energy consumption in apartment buildings in their operational stage.Surveys of actual states of average energy consumption per unit show that 1) the largest component of energy consumption is room heating, followed by electricity, hot water supply, and gas, in that order; 2) energy consumption increases with household area; 3) among exposures, energy consumption is highest in households facing east or northeast and lowest in those facing south or southwest; 4) among height types, energy consumption is highest in super-high-rise apartment buildings (50 stories or higher), followed by semi-super-high-rises, high-rises, and medium-high-rises, in that order; and 5) among plan types, tower-type apartment buildings use approximately 17% -20% more energy than flat types.The goodness-of-fit criterion stated in the 2009 ASHRAE Fundamentals Handbook (SI) Edition is shown to be satisfied for the equations presented in this paper for the prediction of energy consumption of apartment buildings in their operational stage. These equations were developed through multiple regression analysis using the areas and heat transmission coefficients of structures as independent variables and using energy consumption as the dependent variable.

The aim of this study was to test the application of a wind power system combined with exhaust to a highrise apartment building. The research results can be summarized as follows ; 1) The proposed location of the wind power system was a roof-top exhaust pipe from a dining room and bathroom of a super high-rise apartment. The size of the module for concentrating wind was 500mm in diameter and 320mm in height (the upper diameter was 400mm with Venturi effect inducement). The blade was a combination of a Savonius type and a Darrieus type, and was able to rotate. 2) Simulation results show that when the outdoor wind velocity was 3m/s, the wind velocity discharged from the exhaust pipe of the system, combined with the exhaust appeared to increase compared to the wind velocity discharged from the general exhaust pipe (0.46 m/s). In particular, when the outdoor wind velocity increased (5 m/s), the wind velocity discharged from exhaust pipe increased more (0.77 m/s), and so the proposed system was found to have a wind velocity amplification effect. 3) As for the results of measuring the generation quantity for 13 days by installing the proposed system on an apartment building rooftop 35 m tall, the Case 3 system (outside air + exhaust wind + wind concentrating device) proposed in the study appeared to have a higher generation quantity than other systems. Specifically, even when there was a low outside wind velocity value, the electrical energy appeared to be high, confirming the exhaust wind concentration effect. Therefore, the wind power system proposed in this study was found to be effective in terms of increasing driving wind velocity, thus resolving the disadvantage of compact wind power generation systems. This study confirms the viability of applying small wind power generation systems to high-rise apartment buildings, which will contribute to reducing greenhouse gas emissions.