In recent decades, excessive using fossil fuels has been resulted in emitting greenhouse gases such as CO2, consequently, environmental pollution. In this study, the techno-economic analysis of the CCHP/PV hybrid system application for a sample building was examined to reduce the environmental pollution and primary energy consumption of the buildings. The life-cycle cost analysis was...

Nowadays, buildings are increasingly expected to meet higher and more complex performance requirements. Among these requirements, energy efficiency is recognized as an international goal to promote energy sustainability of the planet. Different approaches have been adopted to address this goal, the most recent relating consumption patterns with human occupancy. In this work, we analyze what are...

Conventional sensor networks for building monitoring lack smart means to exploit collected environmental data to support relevant knowledge generation. Explicit domain knowledge plays the key role for software units to execute relevant tasks autonomously, which in turn can ease the increasing complexity embedded in the contemporary building management process. In many cases, the cost of multi-f...

Solar shading designs are important for reduction of building energy consumption and improvement of indoor thermal environment. This paper carried out a number of building simulations for evaluation of the energy performance of different shading devices based on incremental costs. The results show that movable shading devices lower incremental costs by up to 50% compared with fixed ones for the...

Multi-hopmulticast routing can provide better communication performance inmulti-hopwireless networks. However, existing multi-hop multicast routing hardly take into account energy efficiency of networks. This paper studies the energy-efficient multicast communication aiming at multi-hop wireless networks. Firstly, we analyze energy metric and energy efficiency metric of multi-hop networks. Then...

Modelling and forecasting Stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. This nonlinearity affects the efficiency of the price characteristics. Using an Artificial Neural Network (ANN) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

This work analyzes an energy consumption predictor for greenhouses using a multi-layer perceptron (MLP) artificial neural network (ANN) trained by means of the Levenbergh-Marquardt back propagation algorithm. The predictor uses cascade architecture, where the outputs of a temperature and relative humidity model are used as inputs for the predictor, in addition to time and energy consumption. Th...

Many innovative techniques and policy measures have been introduced to reduce energy consumption. Despite the high ambitions and societal pressures, the adoption rate of energy measures in office buildings is still low. Using adoption theories this paper provides a framework to analyse the adoption process of energy saving techniques in building processes. This framework is used to analyse the ...

The Network Simulator-3 (ns-3) is rapidly developing into a flexible and easy-to-use tool suitable for wireless network simulation. Since energy consumption is a key issue for wireless devices, wireless network researchers often need to investigate the energy consumption at a battery powered node or in the overall network, while running network simulations. This requires the underlying simulato...