Multi-Resource Offshore Renewable Energy Platform
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current renewable energy infrastructure faces challenges in efficiently managing and distributing power from multiple renewable sources like wind, solar, and wave energy due to inherent unreliability, high costs, and environmental concerns, particularly in offshore installations, which hinder widespread adoption and integration into intelligent electricity grids.
Innovation Solution
A distributed computing-based energy management system that integrates multiple renewable energy resources into an intelligent power distribution network, enabling real-time power balancing, efficient resource allocation, and reduced storage needs through a multi-resource offshore renewable energy installation with a high-voltage direct current transmission system, allowing for dynamic communication and automated decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple renewable energy resources are integrated into an intelligent power distribution network, then the reliability and operational efficiency of power supply is improved, but the device complexity and cost of the system increases
Solution Approach 1:
The patent combines multiple renewable energy resources (wind, solar, wave, solar thermal) into a single offshore multi-resource installation, merging their outputs into a common direct current bus. This integration improves power supply reliability by diversifying energy sources while managing complexity through unified control architecture and common transmission infrastructure.
Solution Approach 2:
The offshore installation serves multiple functions simultaneously: generating power from various renewable sources, storing energy in batteries, converting between AC and DC, and transmitting power to the grid. This multi-functionality improves system reliability while consolidating operations into a single platform rather than separate installations.
2Reliability
If power is generated constantly to meet uncertain demand, then the power requirement is satisfied, but energy waste occurs through over-generation
Solution Approach 1:
The system dynamically adjusts power generation and storage based on real-time conditions. The load management system continuously monitors demand and controls the operation of renewable energy components and battery storage, enabling the system to respond flexibly to changing conditions and avoid over-generation waste while maintaining power availability.
Solution Approach 2:
The intelligent load management system uses feedback from continuous monitoring of power demand and generation to optimize operations. By assessing power requirements in real-time and adjusting generation and storage accordingly, the system minimizes energy waste from over-generation while ensuring power availability when needed.
3Productivity
If offshore renewable energy installations are constructed, then access to renewable resources is improved, but environmental impact and construction cost increase
Solution Approach 1:
The patent combines multiple renewable energy technologies into a single offshore platform, consolidating environmental footprints and infrastructure requirements. This multi-resource approach increases renewable energy generation capability while reducing the overall environmental impact compared to multiple separate installations.
Solution Approach 2:
The offshore installation performs multiple functions including power generation from various sources, energy storage, and power conversion in a single location. This multi-functionality maximizes renewable energy productivity from one site, reducing the need for multiple separate installations and their associated environmental impacts.
4Reliability
If battery storage capacity is increased at the offshore installation, then power supply stability is improved, but the weight and space requirements increase
Solution Approach 1:
The system implements battery storage capacity that is sufficient to handle typical variations in power demand and generation, rather than oversized storage. The intelligent load management optimizes the use of this partial storage capacity, achieving power supply stability without the excessive weight and space requirements of over-engineered storage systems.
Data Source
AI summary
In a renewable energy-based electricity grid infrastructure, distributed data analytics enable modeling and delivery of an appropriate, time-sensitive, dynamic demand response from multiple renewable energy resource components to an intelligent power distribution network. Distributed data analytics also enable the electricity grid infrastructure to virtually, optimally and adaptively make decisions about power production, distribution, and consumption so that a demand response is a dynamic reaction across the electricity grid infrastructure in a distributed energy generation from multiple renewable energy resources responsive to various types of grid demand situations, such as customer demand, direct current-specific demand, and security issues, and so that power production is substantially balanced with power consumption.