نتایج جستجو برای: low carbon networks

تعداد نتایج: 1829288  

Journal: :international journal of bio-inorganic hybrid nanomaterials 0

in this study, bio-based carbon nanotubes (cnts) have received considerable research attention due to their comparative advantages of high level stability, simplistic use, low toxicity and overall environmental friendliness. new potentials for improvement in heat transfer applications are presented due to their high aspect ratio, high thermal conductivity and special surface area. phonons have ...

Journal: :Sustainable Energy, Grids and Networks 2022

Most of the simulation studies on energy networks, including gas grids, derive their results from a limited number network models. The findings these works are therefore affected by substantial case-specificity, which partially limits validity and prevents generalisation. To overcome this limitation, present work proposes novel statistical-based approach for studying distribution enabled genera...

2012
Antti Kaskela Jari Koskinen Hua Jiang Ying Tian Xuwen Liu Markus Kaukonen Albert G. Nasibulin Esko I. Kauppinen

Carbon vacuum arc was used to deposit 5–25 nm thick carbon coatings on single-walled carbon nanotube (SWCNT) networks. The SWCNT bundles thus embedded in conformal coatings maintained their optical transparency and electrical conductivity. Sheet resistances of the networks were measured during the vacuum arc deposition, revealing initially a 100-fold increase, followed by significant recovery a...

Journal: :international journal of energy and environmental engineering 2010
z majedi asl a salem

in the present study the adiabatic temperature of gaseous fuels were calculated and the influence of effective parameters of flame temperature was discussed. firstly, a new computational program named ftc (flame temperature calculations) was prepared to calculate the adiabatic flame temperature and then the effect of initial temperatures of combustion air and fuel, excess air content and oxygen...

Journal: :health scope 0
ahmad gholamalizadeh ahangar department of soil sciences, faculty of soil and water, university of zabol, zabol, ir iran asma shabani department of soil sciences, faculty of soil and water, university of zabol, zabol, ir iran; department of soil sciences, faculty of soil and water, university of zabol, zabol, ir iran. tel: +98-5422240748, fax: +98-5422232501

conclusions results showed that ann is a powerful tool for predicting sorption coefficients using soil organic carbon content variations. results the multilayer perceptron (mlp) artificial neural networks (ann) model with 1-6-1 layout, predicted nearly 98% of the variance of kd as well as 94% of the koc variations with soil organic carbon content. materials and methods data of this study were d...

2014
Ronan Bolton Timothy J. Foxon

Article history: Received 27 April 2012 Received in revised form 13 September 2013 Accepted 9 February 2014 Available online 11 March 2014 This paper seeks to uncover and examine the complex set of governance challenges associated with transforming energy distribution networks, which play a key enabling role in a low carbon energy transition. We argue that, although the importance of such infra...

2013
Matthew Lockwood

An essential element in a future UK low-carbon energy system will be electricity infrastructure that can facilitate more flexible demand, the balancing of variable renewable generation, and the incorporation of local small-scale technologies such as solar PV, and new technologies such as electric vehicles (e.g. ENSG 2009, DECC 2009, Cary 2010). Such ‘smart’ grid infrastructure will need to inco...

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