Load Scheduling Estimator for Time-Dependent Energy System Design
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Solution Overview
Problem
Existing energy generation and storage systems face inefficiencies in designing systems to handle large loads such as electric vehicle charging and heat pump operation, often resulting in incorrect system design due to modeling these loads as constant rather than time-dependent.
Innovation Solution
A system estimator with load operation scheduling is developed, which takes into account operational and design variables to determine optimized load schedules for energy generation and storage systems, enhancing their performance over long periods and minimizing charges from the electric utility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If large loads are modeled as being used at all times, then system design is simplified, but system design accuracy deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from static load modeling (constant usage) to dynamic load modeling (time-dependent scheduling). The system estimator determines optimized load schedules that vary over time, allowing the system to adapt to changing load requirements while maintaining accurate performance predictions for large loads like EV charging and heat pumps.
2Measurement precision
If manual site surveys are performed for system estimation, then customization accuracy is improved, but time consumption increases
Solution Approach 1:
The patent implements self-service by enabling the system estimator to automatically determine optimized load schedules and system parameters without requiring manual installer intervention. The estimator processes operational and design variables autonomously, eliminating the need for time-consuming manual site surveys while maintaining accurate system estimation for prospective purchasers.
3Loss of energy
If load operation scheduling is optimized, then energy cost is reduced, but system complexity increases
Solution Approach 1:
The patent applies parameter changes by optimizing load operation schedules based on varying operational and design variables. The system estimator adjusts timing and operational parameters of large loads to minimize energy costs while accounting for system constraints. This automated parameter optimization achieves cost reduction without manually increasing system complexity.
Data Source
AI summary
A method and apparatus for generating at least one operation schedule for at least one load connected to a system including an energy generation system, an energy storage system, or both. The method and apparatus initially estimate the system performance based upon system design and operational variables. A load operation schedule is adjusted to improve system performance and the adjusted load operation schedule is used to control at least one load.