CORTEXA
← Browse
arxiveess.SY2026-07-09

Modeling Stakeholders and Lifecycle Requirements of Marine Hydrokinetic Energy Systems

Maurice Ombogo, Daniel Herber

Marine hydrokinetic energy offers a promising solution to the growing demand for clean and reliable electricity. These systems can generate power from low-speed flowing water, and over a wide range of sites. This paper outlines a lifecycle-based framework for developing marine hydrokinetic systems. It emphasizes stakeholder needs, regulatory compliance, and site-specific factors critical to successful deployment. By integrating engineering, environmental, and economic viewpoints, this work provides a baseline and other considerations for advancing these technologies toward commercial viability. First, six quality attributes are listed, and then five general stakeholders, including the consumer, owner, government, energy distributor, and regulatory bodies. Next, a set of general requirements grouped into five categories is shown. Finally, several key design decisions are discussed. Much of this content is captured in a model using the Systems Modeling Language (SysML). Overall, this paper can serve as a baseline for marine hydrokinetic technology development and understanding. This content is not comprehensive; further work will be required to ensure specific site and technology considerations are accounted for. Keywords: marine hydrokinetic systems, system lifecycle, model-based systems engineering, requirements, design, product development, risk management

View free PDFSource page

Related papers

arxiveess.SY2026-06-30

Standardizing case study descriptions for multi-energy systems and networks modeling

Mathieu Vallee, Eva Schischke, Edmund Widl, Gabriela Zabik, Mohamed-Tahar Mabrouk, Kai Derzsi, et al.

Research on Multi-Energy Systems (MES) often relies on case studies with divergent hypotheses and terminologies, limiting comparability and slowing progress. Discussions at the ECOS 2025 conference highlighted the need for standardized reference case studies to facilitate reuse a…

View free PDFSource page
arxiveess.SY2026-07-15

Predicting BESS Degradation with Uncertainty Quantification: A Probabilistic Framework for Battery Energy Storage Systems

Melina Graner, Holger Hesse, Andreas Jossen

Accurate and uncertainty-aware prediction of battery degradation is essential for the reliable operation and lifecycle management of energy storage systems, yet traditional deterministic models fail to capture the inherent uncertainty in degradation processes. This study introduc…

View free PDFSource page
arxiveess.SY2026-07-03

Integrating Power Electronics-based Energy Storages to Power Systems: A Review on Dynamic Modeling, Analysis, and Future Challenges

Qiang Fu, Changlong Dai, Siqi Bu, C. Y. Chung

The integration of power electronics-based energy storage systems (PEESs) into power systems introduces potential instabilities. This study reviews efforts in dynamic analysis of both AC and DC power systems integrated with PEESs, covering dynamic modeling, analysis methods, and…

View free PDFSource page
arxivcs.SEeess.SY2026-07-17

Comparison of Energy System Optimization Software and Evaluation of Selected Frameworks

Pedro Caixeta, David Gawron, Hüseyin K. Çakmak, Haozhen Cheng

Optimizing energy systems is a crucial step toward achieving a carbon-neutral future, with software tools playing a major role in the process. However, selecting the most suitable tool for specific optimization challenges can be complex, given the diverse objectives and requireme…

View free PDFSource page
arxivmath.OCeess.SY2026-07-17

Batteries and the British Energy System

Waqquas Bukhsh

Batteries are becoming a central part of modern energy systems, especially as electricity, transport and heat are decarbonised. In Great Britain, batteries already play an important role by providing flexibility and acting as a buffer for the system, and their importance will con…

View free PDFSource page
arxiveess.SY2026-07-17

Global Survey of Technologies and Industrial Applications of Grid Forming Energy Storage Systems

Heng Wu, Changjiang Zhan, Jiacheng Li, Xiaoyao Zhou, Xiongfei Wang

Grid-forming (GFM) energy storage system (ESS) is a key enabler for stabilizing future power systems with high penetration of converter-based resources (CBRs). To get a better overview of the state-of-the-art and challenges for implementing and deploying GFM-ESS, a global survey…

View free PDFSource page