The emergence of intelligent buildings is founded on the rapid development of microcomputer and internet technology as well as the advance of information and communication technology. With the help of these technologies, office affairs have shifted from the traditional pattern of labor intense and large volume to the flexible, diverse, efficient, user-friendly, and highly reliable operations. M...

In order to realize 3D modeling and refinement of buildings in a digital 2D residential map using range images of the streets, we match range images of streets with the digital map. After pattern lines of the range images are determined using edge detection and depth analysis, they are matched with pattern lines of the digital map using a pattern matching algorithm based on dynamic programming....

Climate change is expected to decrease heating demand and increase cooling demand for buildings and affect outdoor thermal comfort. Here, we project changes in residential heating degree-days (HDD) and cooling degree-days (CDD) for the historical (1981-2010) and future (2080-2099) periods in the United States using median results from the Climate Model Intercomparison Project phase 5 (CMIP5) si...

Nowadays most HVAC (Heating, Ventilation and Air Conditioning) systems for residential buildings employ a singlezone, two-position control system which is simplistic. According to statistical studies, people spend 80% of their lives in buildings. Corresponding to the increasing demands for environment, comfort, energy, and productivity, advanced methods are applied for improving thermal conditi...

Primljeno (Received): 2012-03-06 Prihvaćeno (Accepted): 2012-05-15 Original scientific paper Abstract: All new residential, office and service buildings built in the EU from 2020 will be nearly zero-energy buildings, defined as buildings that on an annual basis generate approximately the same amount of energy as they require. This will promote on-site generation from renewable sources and the i...

Residential and commercial buildings accounted for about 68% of the total U.S. electricity consumption in 2002. Improving the energy efficiency of buildings can save energy, reduce cost, and protect the global environment. In this research, artificial neural network is employed to model and predict the facility power usage of campus buildings. The prediction is based on the building and the wea...