Global warming created by large scale emissions of Greenhouse Gases (GHG) are a worldwide concern. Due to this, the issue of green gas network has required more attention in the last decades. Here, we address the GHG-based problem that arises in a gas network where gas flow is transferred from the Town Board Station (TBS) to consumers by pipeline systems. Given this environment, an optimization...

Growing global demand for energy, result in depletion of easily access source of fossil fuels. To fulfillment of this huge demand, oil and gas industry expanded to develop offshore oil and gas reservoirs in recent years, which made environmental management challenging. IRAN owns one of the biggest offshore gas reservoir in PERSIAN GULF with high geopolitical and financial importance. Along the ...

The substitution of natural gas by a renewable equivalent is an interesting option to reduce the use of fossil fuels and the accompanying greenhouse gas emissions, as well as from the point of view of security of supply. The renewable alternative for natural gas is the so-called green natural gas, i.e. gaseous energy carriers produced from biomass comprising both biogas and Synthetic Natural Ga...

The Green IT can minimize the green house gas emission if steps are taken to reduce energy consumption at end user level i.e., PC’s, Laptops, handheld devices etc. People need to be educated of the fact how energy can be saved while using IT devices. Likewise initiatives at the network and data center level have been taken by the major companies of IT equipments. In our work we perform a compar...

Electricity generation in thermal power plants as the largest producer of electricity in Iran is associated with greenhouse gas emissions. In this paper, using the Malmquist-Luenberger method, green productivity, and efficiency changes are measured for 31 thermal power plants (including 12 steam power plants, 13 gas power plants, and six combined cycle power plants) during 2009-2016. The result...

in this paper, a model based on gmdh type neural network, is used to predict gas price in the spot market while using oil spot market price, gas spot market price, gas future market price, oil future market price and average temperature of the weather. the results suggest that gmdh neural network model, according to the root mean squared error (rmse) and direction statistics (dstat) statistics ...

An Ant Colony Optimization (ACO) algorithm is proposed for optimal tree-structured natural gas distribution network. Design of pipelines, facilities, and equipment systems are necessary tasks to configure an optimal natural gas network. A mixed integer programming model is formulated to minimize the total cost in the network. The aim is to optimize pipe diameter sizes so that the location-alloc...