gas network Articles

  • Networking

    Spurred initially by frustration with the political deadlock that has surrounded Kyoto, municipal climate policy is asking for, and getting, more time in the spotlight. Last year—for the second UN climate change conference in a row—municipal leaders upstaged their national counterparts by pledging to go beyond the emissions reduction targets negotiated by the international community. While the ...


    By Actual Media

  • Optimising the water supply network

    Untitled Document The city of Crema sits on the Serio River south east of Milan in Northern Italy and has a population of approximately ...


    By Innovyze

  • Networking to get working

    How do you take your first steps into the oil and gas industry? What can you expect from your career, and how do you create opportunities to move your career forward? These were just a few of the questions considered as part of the Professional Development programme at this year’s IP Week, as Sue Beard, Professional Development Team Manager, explains. Now in it’s fourth year, the ...


    By Energy Institute (EI)

  • Gas distribution network for households in Saudi Arabia: economic and demand estimation studies

    This study evaluates the economics of establishing a residential natural gas network in Saudi Arabia's Eastern Province (EP) to cater to the household demand for natural gas. The paper focuses primarily on household use of natural gas for cooking. Additional economic analysis of other household uses – as air conditioning, space and water heating – is incorporated. Demand streams of various ...


    By Inderscience Publishers

  • The Need for a Total View of Water Networks

    The water industry is not short of software offerings, and so the arguments in favour of yet another software program had better be very good indeed. In this article we examine how one very significant community of users – operations managers, engineers and planners - have largely had their specific needs overlooked; we identify the type of system needed to fulfil their requirements and the ...


    By Innovyze

  • Prediction of water quality in South to North Water Transfer Project of China based on GA-optimized general regression neural network

    The safety of water delivery and water quality in the South to North Water Transfer Project of China is important to northern China. Water quality data, flow data and data on factors that influence water quality were collected from 25 May to 26 August, 2013. These data were used to forecast water quality and calculate the relative error when using a genetic algorithm optimized general regression ...


    By IWA Publishing

  • Three-dimensional pore networks and transport properties of a shale gas formation determined from focused ion beam serial imaging

    Three-dimensional pore network reconstructions of mudstone properties are made using dual focused ion beam-scanning electron microscopy (FIB-SEM). Samples of Jurassic Haynesville Formation mudstone are examined with FIB-SEM and image analysis to determine pore properties, topology, and tortuosity. Resolvable pore morphologies (>~10 nm) include large slit-like pores between clay aggregates and ...


    By Inderscience Publishers

  • Three–dimensional pore networks and transport properties of a shale gas formation determined from focused ion beam serial imaging

    Three–dimensional pore network reconstructions of mudstone properties are made using dual focused ion beam–scanning electron microscopy (FIB–SEM). Samples of Jurassic Haynesville Formation mudstone are examined with FIB–SEM and image analysis to determine pore properties, topology, and tortuosity. Resolvable pore morphologies (>~10 nm) include large slit–like pores between clay aggregates and ...


    By Inderscience Publishers

  • A flood forecasting neural network model with genetic algorithm

    It will be useful to attain a quick and accurate flood forecasting, particularly in a flood-prone region. The accomplishment of this objective can have far reaching significance by extending the lead time for issuing disaster warnings and furnishing ample time for citizens in vulnerable areas to take appropriate action, such as evacuation. In this paper, a novel hybrid model based on recent ...


    By Inderscience Publishers

  • The challenge of an EU-GCC clean energy network

    The enhancement of EU-GCC cooperation on energy issues could be significantly facilitated from the establishment and operation of an EU GGC clean energy network (EU-GCC CLEANERGY.NET). CLEANERGY.NET would have to act as a catalyst and a coordinator for EU-GCC energy cooperation on different levels: research, technology and industry, but also on the level of energy policy, through dissemination of ...


    By Inderscience Publishers

  • Building the foundation for Prudhoe Bay oil production optimisation using neural networks

    Field data from the Prudhoe Bay oil field in Alaska was used to develop a neural network model of the cross-country gas transit pipeline network between the production separation facilities and central gas compression plant. The trained model was extensively tested and verified using 30% of the data that was not used during the training process. The results show good accuracy in reproducing the ...


    By Inderscience Publishers

  • Back-propagation neural network for performance prediction in trickling bed air biofilter

    Experimental studies were carried out with a laboratory-scale biotrickling filter to treat a gaseous stream contaminated with benzene, toluene and xylene (BTX) operated in a continuous mode. The biotrickling filter initially acclimatised with toluene was used to treat BTX compound individually at loading rates ranging from 7.2 g/m³hr to 62.2 g/m³hr, operated in a sequential mode. The results ...


    By Inderscience Publishers

  • Forecasting of commercial energy consumption in India using Artificial Neural Network

    The forecasting of energy consumption is essential for any country to study the future energy demand and to introduce the necessary government policies. This paper presents the formulation of forecasting models based on the Artificial Neural Network (ANN) for the consumption of conventional energy sources. In India, the total energy consumption for coal, oil, electricity and natural gas would be ...


    By Inderscience Publishers

  • Exergy analysis of a cogeneration system through Artificial Neural Network (ANN) method

    The main objective of this study is to apply the Artificial Neural Network (ANN) method to a cogeneration system, located in Izmir, Turkey, for exergetic evaluation purposes. The data used are based on the actual operational conditions and the results obtained from this system, which was exergetically analysed by the authors. It consists of three turbines with a total capacity of 13 MW, six spray ...


    By Inderscience Publishers

  • Water network sectorization based on a genetic algorithm and minimum dissipated power paths

    Water Network Sectorization (WNS) consists of dividing a water system into sectors with an independent water supply. When each district is supplied by its only water source the districts can be defined as i-DMAs (isolated District Meter Areas) because they are completely cut off from the rest of the water network. This isolation of the i-DMAs may decrease hydraulic performance of the water ...


    By IWA Publishing

  • Viscosity correlations for light Omani crude using artificial neural networks

    Predicting the crude oil viscosity is very crucial to the oil industry. Accurate prediction of the viscosity will lead to a better design of an energy efficient transportation system and helps in determining the enhanced oil recovery method. There has been intensive work in generating viscosity empirical correlations for under–saturated, saturated and deal oil. Due to the rapid growth in ...


    By Inderscience Publishers

  • A review of sulfide emissions in sewer networks: overall approach and systemic modelling

    The problems related to hydrogen sulfide in terms of deterioration of sewer networks, toxicity and odor nuisance have become very clear to the network stakeholders and the public. The hydraulic and (bio)chemical phenomena and parameters controlling sulfide formation, emission and their incidences in sewer networks are very complex. Recent research studies have been developed in gravity and ...


    By IWA Publishing

  • Life-cycle assessment of common water main materials in water distribution networks

    This paper examines the economy-wide environmental impacts linked to the manufacturing of PVC and ductile iron (DI) pipes, steel tanks, and to the generation of electricity for pumping in water distribution network optimization. The non-dominated sorting genetic algorithm (NSGA-II) is used to generate Pareto-optimal solutions of the benchmark ‘Anytown’ network expansion problem. Selected ...


    By IWA Publishing

  • Gas-to-Energy plant; production of electricity with landfill gas

    Type     Degassing installation HOFGAS®-C7/1000 + HOFGAS®-Ready 600 Commissioning      May 2002 Site     Landfill of Iles Les Meldeuses Situation The landfill is being degassed by a plant we supplied in 1998. For the planned extension phase Hofstetter France Sarl was committed to work out a concept for the enhancement ...


    By Hofstetter BV

  • WMO Greenhouse gas bulletin

    The latest analysis of data from the WMO-GAW Global Greenhouse Gas Monitoring Network, a comprehensive network of the Global Climate Observing System (GCOS), shows that the globally averaged mixing ratios of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) have reached new highs in 2007 with CO2 at 383.1 ppm, CH4 at 1789 ppb and N2O at 320.9 ppb. These values are higher than those in ...

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