as a result of higher crude oil prices, in one hand, it is expected that alternative energy resources consumption is increased and consumers change their behavior to decline energy intensity too. on the other hand, more alternative energy consumption can leads to a decline of crude oil aggregate demand. therefore, existence of mutual causality between crude oil price and alternative energy cons...

nowadays energy has significant role in socio economic development of counties; any decision on energy sector may affect the broad area in societies. system approach in energy modeling as an efficient method is known by many researchers in management and planning in a country particularly in energy sector. also system dynamics is one of the efficient methods, for reason unique ability at solvin...

In the recent years, renewable energy sources are an important component of world energy consumption. GDP is one of the main measures of a country’s economic activity. Most of the studies examine the impact of renewable energy consumption on GDP with single equation model and the others use dynamic panel data. Since the Granger causality analysis’s findings of this paper establish bidirectional...

A small-scale seawater reverse-osmosis system with excellent energy efficiency is presented. The system promises to deliver up to 460 l/h of potable water, from seawater (at 40,000 ppm), while consuming less than 1600 W of electrical power. This represents a specific energy consumption of less than 3.5 kWh/m3. Moreover, the flow may be controlled in order to reduce the power consumption by a fa...

Energy consumption in the residential sector is a complex socio-technical problem that can be explained using acombination of physical, demographic and behavioural characteristics of a house and its occupants. In this paper, byusing the energy consumption data for the residential sector of Shiraz in Iran, the effect of built area (BA) andoccupant number (Occ) on annual energy consumption (Ec) w...

This paper presents a design procedure for an adaptive power management control strategy based on a driving cycle recognition algorithm. The design goal of the control strategy is to minimize fuel consumption and engine-out NOx, HC and CO emissions on a set of diversified driving schedules. Seven facility-specific drive cycles are considered to represent different driving scenarios. For each fa...