Automated Distributed Power Planning for Approval Cost Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Distributed power systems face challenges in obtaining approval for projects due to high overhead costs associated with project assessments, making it difficult to amortize expenses and implement renewable energy technologies effectively.
Innovation Solution
A computer system that automatically generates, identifies, or modifies plans for power-system projects using a pretrained neural network, considering factors like wind data, solar data, land ownership, and regulatory conditions, to reduce costs and increase the likelihood of approval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated project assessment processes are used for distributed power systems, then planning costs can be reduced, but the overhead costs remain high relative to smaller project budgets
Solution Approach 1:
The patent uses pre-trained large language models and digital twins to create virtual copies of the project assessment process. These digital models can evaluate multiple project scenarios simultaneously without requiring proportional increases in human expertise or physical infrastructure, thereby reducing overhead costs while maintaining assessment quality
Solution Approach 2:
The system dynamically adjusts assessment parameters and requirements based on the specific characteristics of each distributed power project. By changing the depth and scope of assessment parameters to match project size and complexity, the overhead costs are optimized to be proportional to the project value rather than fixed at centralized levels
2Reliability
If traditional centralized project assessment methods are applied to distributed power systems, then comprehensive evaluation can be achieved, but costs increase making small projects unviable
Solution Approach 1:
The patent segments the project assessment process into multiple independent modules that can be selectively applied. Each module evaluates specific aspects (technical, financial, environmental) and can be configured based on project needs, allowing comprehensive evaluation of small projects without incurring the full cost of centralized assessment methodologies
3Adaptability or versatility
If manual project planning processes are used, then flexibility in handling unique project requirements is maintained, but time and cost increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-training large language models on extensive project databases and pre-configuring digital twins with industry standards and regulations. This preliminary preparation enables the automated systems to quickly generate customized plans for unique distributed power projects without requiring time-consuming manual setup for each assessment
Solution Approach 2:
The patent implements feedback loops where the automated planning system continuously learns from project outcomes and regulatory decisions. This feedback mechanism improves the adaptability of the system over time, allowing it to better handle unique project requirements while maintaining efficient automated processing
Data Source
AI summary
A computer system (which may include one or more computers) that automatically generates a plan for a power-system project is described. During operation, the computer system may receive a user query that specifies an objective or a goal. Then, the computer system may access stored information, where the stored information includes: wind data, solar data, ownership of land, energy cost, environmental conditions, connectivity, local infrastructure, regulations associated with a utility approval process, and available equipment (such as wind and/or solar equipment). Next, based at least in part on the information and the objective or goal, the computer system may automatically generate the plan for the power-system project. Moreover, the computer system may provide second information specifying the plan for the power-system project.