All About Natural Gas Suppliers and Recipients

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Natural gas suppliers and recipients are usually connected through a large-scale, high pressure and integrated transmission pipeline network. These transmission systems are the most cost effective ways to transmit fluid products over long distances [1], and are usually supplied from multiple sources and use inline compression units to deliver gas to the end users. Adaptation to the varying demands of customers plays an important role, and it is the responsibility of the dispatchers in gas transmission systems to supply adequate amounts of natural gas to meet consumers’ requirements and maintain the pressure level above the minimum required values. Safe operation of transmission pipeline systems in spite of load changes is an important topic and requires the assessment of both the current and future status of the system. The lack of reliable information about many streams and instrumentation errors create additional challenges in assessment of the current state of the transmission network. Other distribution networks such as electrical networks, nitrogen/oxygen and hydrogen networks suffer from this issue as well[2]. Considering several hundred up to several thousand variables of a GTN model, it is possible to measure only a fraction of these variables from cost and feasibility point of view and there are many unmeasured variables. Hence, it is essential to use an on-line estimator to obtain unknown variables using available measurements and smooth the measured variables. GTN is an example of a process with frequent changes, due to the ever changing fluctuations in customer demands and unnotified load changes from natural gas-fired power plants [3]. Real time optimization (RTO) of gas pipelines in transient conditions is considered to be a challenging problem. For a process with frequent disturbances, dynamic-RTO can be an effective replacement for steady state RTO [4], while the successful implementation of dynamic-RTO also requires a dynamic data reconciliation module. The quantity of gas contained in a given pipeline segment is defined as the line–pack [5], [6], which is a very important parameter in gas transmission systems [7], considering its use in the compensation of abrupt load changes. As a result, state estimation techniques play a key role in several problems related to the gas industry such as dynamic data reconciliation, determining the line-pack of the pipelines, the appropriate calculation corresponding to natural gas transactions [8], leak detection, demand estimation, optimal sensor placement [9] and as an aid to control or optimum design of the system. Line-pack and demand estimation estimates are essential in the evaluation of the current status of a network and can be helpful in reliable planning for the future.

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