Improving Centralized Offshore Power Generation Design with Petri Net-Based Availability and Reliability Analysis

IF 1.8 Q2 ENGINEERING, MULTIDISCIPLINARY

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering Pub Date : 2023-09-12 DOI:10.1115/1.4063394

Arthur H A Melani, Gilberto Francisco Martha de Souza, Silvio de Oliveira Junior, Ronaldo Lucas Alkmin Freire

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引用次数: 0

Abstract

Abstract The offshore industry has actively sought technological solutions that reduce CO2 emissions from platform operations. One of the possible solutions being studied is the implementation of Power Hubs, which would generate electricity and distribute it to nearby platforms. Unlike the traditional approach, in which the electricity is generated in the platform for its operation, centralizing such generation via Power Hubs can make the process more efficient, reducing CO2 emissions. However, such a configuration increases the complexity of the operation and can impact the reliability and availability of platforms connected to the Power Hub. Therefore, this work aims to perform reliability and availability estimates of this type of operational configuration and compare it with the traditional offshore operation to quantify the difference between them. Various kinds of Power Hubs configurations were also analyzed to compare the results obtained. Such analyzes were performed using Generalized Stochastic Petri Nets (GSPN) models. Results show that, depending on their configurations, Power Hubs can guarantee an average availability of energy generation close to 100% even in periods of higher demand for oil and gas production.

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基于Petri网的可用性和可靠性分析改进集中式海上发电设计

海上行业一直在积极寻求减少平台作业二氧化碳排放的技术解决方案。正在研究的一种可能的解决方案是实施电力集线器，它将产生电力并将其分配到附近的平台。与传统的在平台上发电的方式不同，通过电力集线器集中发电可以提高发电效率，减少二氧化碳排放。但是，这种配置增加了操作的复杂性，并可能影响连接到Power Hub的平台的可靠性和可用性。因此，这项工作旨在对这种类型的操作配置进行可靠性和可用性评估，并将其与传统的海上作业进行比较，以量化它们之间的差异。并对各种电源集线器的配置进行了分析比较。这种分析是使用广义随机Petri网(GSPN)模型进行的。结果表明，根据其配置，即使在石油和天然气生产需求较高的时期，Power Hubs也可以保证接近100%的平均发电可用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

5.20

自引率

13.60%

发文量