A two-stage hybrid stochastic-robust policy of decentralized distributionally energy management for offshore oil and gas platform energy hub coupled with shared energy marine transport fleets

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Jiayi Fan , Yiyang Ni , Liang Qi , Wei Yuan , Yeng Chai Soh
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引用次数: 0

Abstract

The sustainable operation of Offshore Integrated Energy Hubs (OIEHs) faces significant challenges, particularly in achieving energy self-sufficiency and enhancing resilience against complex operational interactions—issues compounded by the prevailing reliance on fossil fuel-based systems. This paper proposes a novel Decentralized Energy Management (DEM) strategy designed specifically for OIEHs, involving the integration of Shared Energy Marine Transport Fleets (SEMTFs) equipped with Mobile Electrical Storage Packs (MESPs) to facilitate decentralized power delivery. A major contribution of this research is the development of a Coordinated Linkage Energy Flow Model (CLEFM), enabling dynamic and efficient spatiotemporal energy exchange between the seaport and offshore hubs. Furthermore, the study introduces an innovative hybrid uncertainty management framework based on a two-stage methodology: scenario-based stochastic programming combined with robust optimization leveraging risk-averse decision-maker-based information gap decision theory. This dual approach addresses critical uncertainties associated with offshore renewable energy generation and fluctuating demand profiles. The resulting DEM problem is formulated as a Mixed-Integer Linear Programming (MILP) model and solved using the CPLEX solver within a GAMS environment. To evaluate the effectiveness of the proposed system, seven comprehensive case studies were conducted. Simulation results demonstrate considerable improvements in system flexibility, sustainability, and autonomy, as well as enhanced responsiveness to varying operational conditions. Notably, the proposed strategy achieved operational cost reductions ranging from 55 % to 81 %, with these savings explicitly attributed to optimized utilization of PEMFCs, BDGs, and SEMTFs—elements that represent the primary contributors to the system's operational expenditures. In addition, the model integrates Demand Response Programs (DRPs) and Seaport-Independent Centralized Clean Energy Sources (SICCESs), further improving the robustness and energy independence of OIEHs. Overall, the proposed approach offers a scalable, resilient, and economically viable framework that addresses critical gaps in offshore energy operations, thereby advancing the development of green synergy policies and promoting long-term sustainability in marine energy ecosystems.
海上油气平台能源枢纽与共享能源海运船队分散式分布式能源管理两阶段混合随机-鲁棒策略
海上综合能源中心(OIEHs)的可持续运营面临着重大挑战,特别是在实现能源自给自足和增强应对复杂操作相互作用的弹性方面,这些问题由于普遍依赖化石燃料系统而变得更加复杂。本文提出了一种专门为OIEHs设计的新型分散能源管理(DEM)策略,涉及集成配备移动储能包(mesp)的共享能源海上运输船队(semtf),以促进分散的电力输送。本研究的一个主要贡献是建立了一个协调联动能量流模型(CLEFM),实现了海港与近海枢纽之间动态、高效的时空能量交换。此外,该研究还引入了一种创新的混合不确定性管理框架,该框架基于两阶段方法:基于场景的随机规划结合基于风险规避决策者的信息差距决策理论的鲁棒优化。这种双重方法解决了与海上可再生能源发电和波动需求剖面相关的关键不确定性。由此产生的DEM问题被表述为混合整数线性规划(MILP)模型,并在GAMS环境中使用CPLEX求解器进行求解。为评估拟议制度的成效,我们进行了七个全面的个案研究。仿真结果表明,在系统灵活性、可持续性和自主性方面有了相当大的改进,并增强了对不同操作条件的响应能力。值得注意的是,所提出的策略将运营成本降低了55%至81%,这些节省明显归功于优化利用了pemfc、bdg和semtf,这些元素是系统运营支出的主要来源。此外,该模型整合了需求响应计划(DRPs)和海港独立集中式清洁能源(sicess),进一步提高了OIEHs的稳健性和能源独立性。总体而言,拟议的方法提供了一个可扩展的、有弹性的、经济上可行的框架,解决了海上能源运营中的关键空白,从而推动了绿色协同政策的发展,促进了海洋能源生态系统的长期可持续性。
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
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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