Optimal Sizing of On-site Renewable Resources for Offshore Microgrids
Ann Mary Toms, Xingpeng Li, and Kaushik Rajashekara

TL;DR
This paper presents a cost optimization model for sizing offshore renewable energy resources and storage to reduce costs and environmental impact of offshore microgrids, ensuring reliable energy supply.
Contribution
It introduces the CORS model that optimally sizes renewable and storage resources considering variability and costs, improving offshore microgrid design.
Findings
Significantly reduces total lifetime energy costs.
Maintains high reliability and sustainability.
Effective sizing of renewable resources and storage.
Abstract
The offshore oil and natural gas platforms, mostly powered by diesel or gas generators, consume approximately 16TWh of electricity worldwide per year, which emits large amount of CO2. To limit their contribution to climate change, a proposed solution is to replace the traditional fossil fuel based energy resources with offshore clean energy. One of the main challenges in designing such a system is to ensure that energy demand is met while minimizing cost and reducing environmental impact. To address this challenge, several strategies including microgrid systems consisting of offshore wind turbines, wave energy converters, tidal energy converters, floating photovoltaic systems and battery energy storage systems are being proposed. In this paper, cost optimization for sizing these renewable energy sources is investigated. A cost optimization renewable sizing (CORS) model is proposed to…
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Taxonomy
TopicsHybrid Renewable Energy Systems · Microgrid Control and Optimization · Wave and Wind Energy Systems
