This paper proposes a new efficient approach to optimize energy consumption for energy aware buildings. Our approach relies on stochastic hybrid automata for representing energy aware systems. The model is parameterized by several cost values that need to be optimized in order to minimize energy consumption. Our approach exploits a stochastic semantic together with simulation in order to estima...

We consider two problems in the design and operation of energy-efficient buildings. The first is the prediction of energy consumption of a building from that of similar buildings in its geographical neighborhood. The second problem concerns the localization of faults in building sub-systems with a focus on faults that lead to anomalous energy consumption. For both problems, we propose algorithm...

Resource depletion and global warming dictate needs to reduce energy consumption, however energy used for the environmental space conditioning of buildings remains substantial; even in well-designed examples. Therefore the ways in which buildings are utilized, and occupant expectations of comfort in building environments should be researched to determine alternative means for optimizing perform...

Increases in energy prices and the global goal of mitigating CO2 emissions necessitate the development of intelligent Building Management Systems (BMS) that operate on an energy-efficient basis. Data Centers, buildings and/or group of buildings are often responsible for huge energy consumption. One way to monitor and optimize energy consumption is to instrument buildings using sensors (temperat...

In this research, the application of heat pipes in the air handler dedicated to decoupling dehumidification from cooling to reduce energy consumption was simulated and investigated by simulations and experimental studies. The cooling load profiles and heat pipes with effectiveness of 0.45 and 0.6, respectively, were evaluated in achieving the desired space conditions and calculated hour by hour...

The building sector accumulates approximately a third of the final energy consumption. Consequently, the improvement of the energy efficiency in buildings has become an essential instrument in the energy policies to ensure the energy supply in the mid to long term moreover is the most cost-effective strategy available for reducing carbon dioxide emissions This paper is studying the main objecti...

Residential and commercial buildings are responsible for roughly 40 percent of U.S. energy consumption [1]. Within these types of buildings, space heating and cooling was responsible for roughly 36% of the energy consumption in 2005 [2]. Moreover, attributes of the building envelope have a large impact on this energy consumption, namely how much energy is needed to maintain comfortable room tem...

In this work we present a novel approach to energy saving in buildings through the identification of the relevant parameters and the application of Soft Computing techniques to generate predictive models of energy consumption in buildings. To verify the feasibility of this proposal, we apply our approach to a reference building for which we have contextual data from a complete year of monitorin...

Residential and commercial buildings are responsible for roughly 40 percent of U.S. energy consumption [1]. Within these types of buildings, space heating and cooling was responsible for roughly 36% of the energy consumption in 2005 [2]. Moreover, attributes of the building envelope have a large impact on this energy consumption, namely how much energy is needed to maintain comfortable room tem...