Energy Service Predictor for Grid Stability and Production Planning
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Solution Overview
Problem
Industrial firms face challenges in predicting and managing energy consumption to avoid grid collapse due to unstable energy supply and complex contractual models, leading to production limitations and financial uncertainties, despite existing prediction and optimization methods.
Innovation Solution
A method using a predictor device that overlays individual conditions to ascertain a power range by weighting technical and contractual rules, providing an automated forecast for service restrictions, and optimizing prediction parameters through real-time observation and comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If industrial firms reduce electricity consumption to prevent grid collapse, then grid stability is improved, but production capacity is limited
Solution Approach 1:
The system performs preliminary prediction of energy service offers and service limits before actual consumption occurs. By forecasting available power ranges and contractual constraints in advance, the system enables production planning that anticipates grid limitations, allowing firms to prepare alternative schedules or storage usage before grid instability forces abrupt production reductions.
Solution Approach 2:
The system dynamically adapts production planning based on predicted energy service offers. Rather than static production schedules, the system continuously updates production recommendations as predictions of available power and contractual constraints change, enabling flexible adjustment between grid stability requirements and production capacity utilization.
2Loss of energy
If complex contractual models are used to manage energy demand, then energy cost optimization is improved, but system complexity increases
Solution Approach 1:
The system automatically predicts energy service offers, calculates power ranges, and generates production recommendations without requiring manual interpretation of complex contractual models. The prediction device self-manages the complexity of evaluating multiple contractual constraints and automatically applies them to production planning, eliminating the need for manual energy cost optimization processes.
Solution Approach 2:
The system handles multiple types of contractual models and energy service offers through a unified prediction framework. Rather than requiring separate analysis methods for different contractual arrangements, the prediction device universally processes various contractual constraints and translates them into consistent production recommendations, simplifying the management of energy cost optimization across diverse contractual scenarios.
3Productivity
If maximum power is requisitioned from the grid, then production capacity is improved, but grid stability deteriorates
Solution Approach 1:
The system predicts available power ranges from the grid before production decisions are made. By forecasting the maximum power that can be requisitioned without compromising grid stability, the system enables production planning that utilizes available capacity while preventing grid overload, avoiding both production limitations and grid instability.
Solution Approach 2:
The system incorporates feedback from predicted energy service offers and service limits into production recommendations. By continuously monitoring predicted grid availability and adjusting production guidance accordingly, the system ensures that production capacity utilization remains within grid stability boundaries, creating a feedback loop that balances both objectives.
Data Source
AI summary
A predictor that projects the service offering available at a point in time on the basis of the agreed technical and contractual rules is provided. The predictor further makes the same available to the operating and scheduling systems of the industrial company and optimizes the prediction parameters by observing and comparing the real situation with the calculated situation, or else indicates unused potential.