Exploiting Competitive Adsorption Microenvironments over a Sulfur-Tolerant MoS 2 Catalyst for the Utilization of Low-Grade Natural Gas

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Exploiting Competitive Adsorption Microenvironments over a Sulfur-Tolerant MoS <sub>2</sub> Catalyst for the Utilization of Low-Grade Natural Gas

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The natural gas in the Alaskan arctic represents a truly significant resource; a resource which should be exploited in the most appropriate manner. Currently, the proven reserves of natural gas in Alaska are estimated to be 19.7% (36.7 TSCF) of the total US reserves (186.7 TSCF). In addition, the undiscovered recoverable natural gas resources of Alaska are about 89 TSCF compared to 610 TSCF in the lower 48 states. Furthermore, the Alaskan unconventional gas resources are more than 500 TCF. The purpose is to review the potential of natural gas resources in Alaska and to address various important issues related to utilization of natural gas. This report provides a brief summary of various gas fields and their geologic settings. The different options for utilization of natural gas to lower 48 states via gas pipeline, conversion to liquefied natural gas and transport, conversion to fuel grade methanol and/or gasoline, natural gas for enhanced oil recovery, gas based petrochemical complex, gas utilization in the form of utilities are critically reviewed with respect to merits and demerits addressing engineering, economic, environmental, supply/demand, market and political aspects. 22 refs., 2 figs., 5 tabs.

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Different options exist for the utilization of natural gas either as fuel or as natural gas conversion into value‐added products. Even though natural gas is the cleanest fossil fuel, its use generates CO2 emissions. This challenges the industry to achieve carbon emission reduction targets without compromising profitability. Herein, an optimization approach is presented to simultaneously consider natural gas distribution to plants together with carbon capture, utilization, and storage (CCUS) options, while also taking into account energy integration options to achieve synergies across alternative CO2‐integrated natural gas utilization paths. The approach combines natural gas with a CCUS network synthesis model. It incorporates a utility system model, which is optimized to identify the most profitable natural gas use in an industrial cluster that meets a given overall emissions constraint for the cluster. The approach aims to benefit engineers charged with the holistic planning of future profitable, low‐emission industrial clusters. The approach is illustrated with an example that considers an industrial cluster with typical natural gas conversion industrial plants, common infrastructure, and CCUS options.

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East Java is one of the provinces in Indonesia which has total natural gas reserves of 4.66 trillion standard cubic feet (TSCF) spread across several locations. Natural gas in this province is used by a variety of consumers, such as petrochemical industries, power plants, industrial fuel, transportation and household needs. However, there are obstacles in the utilization of natural gas due to differences in operating time and differences capacity between suppliers and consumers. Therefore, to optimize the utilization of natural gas in East Java, a natural gas network design is required which is considering the operating time and the capacity of suppliers (source point) and consumers (sinks point). In this study, a natural gas network design of East Java area was developed by modelling superstructure methods which consider the operating time and capacity. The superstructure natural gas network model developed in this study was optimized using GAMS software. From 5 source points and 6 sink points, an optimum natural gas network design has been obtained with a total gas distribution of 4832.8 billon standard cubic feet (BSCF) in a period of 30 years. Due to mismatch of operating time, it is also known that the amount of excess gas supply from this area (export gas) is 1364.1 BSCF and the demand for gas supply from other areas (import gas) is 1105.7 BSCF. With this superstructure method, it is possible to know the optimum network configuration and the natural gas balance in an area which has different operating time, flowrate and capacity between sources and sinks.

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