In this research, an analytical method for quantification of the thermal energy performance improvement for a building integrated photovoltaic double-skin façade has provided. The system has been suggested as a retrofit measure for an existing building in Tehran. The effect of thermal performance has been analyzed through computer-assisted developed code using engineering equation solver softwa...

Design of a thermally comfortable indoor environment requires detailed information about distribution of air velocity, air temperature, relative humidity, and mean radiant temperature and about heating/cooling load in a space. This research has developed a coupled airflow-and-energy simulation program to calculate simultaneously the distributions of indoor airflow and thermal comfort and heatin...

Cloud service providers operate multiple geographically distributed data centers. These data centers consume huge amounts of energy, which translate into high operating costs. Interestingly, the geographical distribution of the data centers provides many opportunities for cost savings. For example, the electricity prices and outside temperatures may be widely different at the data centers. This...

Accurate predicting of building cooling load has been one of the most important issues in the energy-saving building, which provides an approach to integrate and optimize the heating, ventilating, and air-conditioning (HVAC) system cooling supply system efficiently. Because of the remarkable nonlinear mapping capabilities of forecasting, artificial neural networks have played a crucial role in ...

In smart buildings, cooling load prediction is important and essential in the sense of energy efficiency especially in hot countries. Indeed, prediction is required in order to provide the occupant by his consumption and incite him to take right decisions that would potentially decrease his energy demand. In some existing models, prediction is based on a selected reference day. This selection d...

Artificial neural networks have been used for prediction of cooling loads in buildings. Only cooling load simulations were run to evaluate the performance of the network for tropical countries like India where cooling is a critical issue. The input parameters taken for the simulation were thickness of the wall, presence of insulation on the western and the southern elevation, month of the year ...

This paper presents an online interactive program and how it can benefit students of engineering and architecture in the learning of residential cooling load calculation. This program is also helpful in the training of professional engineers and architects in the basic load calculations. It can be used as a stand-alone teaching aid or an add-on component for any online course dealing with air-c...

The ever-increasing operational cost of geographically distributed datacenters has become a critical issue for cloud service providers. In order to cut the electricity cost of geographically distributed datacenters, several workload management schemes have been proposed, such as Electricity price-aware InteR-datacenter load balancing (EIR), which reduces the electricity cost of active servers b...

since the energy consumption has become one of the crisis of modern buildings, modeling the iranian past architecture patterns could be helpful. the shopping streets as one of the main sectors consuming energy locate near the open spaces it seems, therefore, they need more thermal comfort. however, using passive techniques, the iranian traditional bazaars architecture solved the problems regard...

This article experimentally investigates the thermal performance of thermoelectric air-cooling module which comprises a thermoelectric cooler (TEC) and an air-cooling heat sink. The influences of input current and heat load are determined. And performances under each situation are quantified by thermal resistance analysis. Since TEC generates Joule heat, this nature makes construction of therma...