The natural ventilation and the energy consumption are very important characteristics in buildings. Representation of the patterns for better natural ventilation performance versus lower increase in energy consumption is significant and useful. This study is simulating an office building in the temperate and humid climate of Rasht in Iran, and calculated the annual ventilation and the energy co...

This paper describes the statistical analytics technology being developed to help K-12 public schools in New York City reduce the energy consumption. A multi-step statistical analysis procedure is proposed, to assess energy consumption and to identify energy saving opportunities for large portfolios of buildings such as the NYC K-12 public school buildings. The method borrows strength from and ...

This study aimed to evaluate the efficiency of energy consumption and economic analysis of different watermelon cultivation systems in Fars Province of Iran. Watermelon production systems were classified into five systems, namely, custom tillage (group 1), conservation tillage (group 2), traditional planting (group3), semi mechanized planting (group 4), and mechanized planting (group 5). Data w...

Buildings currently account for 30–40 percent of total global energy consumption. In particular, commercial buildings are responsible for about 12 percent of global energy use and 21 percent of the United States’ energy use, and the energy demand of this sector continues to grow faster than other sectors. This increasing rate therefore raises a critical concern about improving the energy perfor...

This paper presents a competitive supply chain network design problem in which one, two, or three supply chains are planning to enter the price-dependent markets simultaneously in uncertain environments and decide to set the prices and shape their networks. The chains produce competitive products either identical or highly substitutable. Fuzzy multi-level mixed integer programming is used to mo...

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...

There is an increasing need for automated fault detection tools in buildings. The total energy request in buildings can be significantly reduced by detecting abnormal consumption effectively. Numerous models are used to tackle this problem but either they are very complex and mostly applicable to components level, or they cannot be adopted for different buildings and equipment. In this study a ...

. the sonocatalytic activity of nano-sized zno powder was studied via the degradation of the direct blue 71 azo dye. the nano-sized zno powder that was selected was the same as that which was synthesized and characterized in our previous study. the influences of six operational parameters including the initial ph, the initial concentration, the dose of sonocatalyst, the ultrasound frequency, th...

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 power usage...