Energy Technology Forecasting for Interdependent Savings Analysis
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Solution Overview
Problem
Existing methods fail to accurately forecast the combined impact of different energy technologies on energy consumption and costs due to interdependencies between technologies, leading to inaccurate savings predictions and delaying their adoption.
Innovation Solution
A method that assesses the interdependencies of multiple energy technologies by generating energy impact data sequentially and summing it over time intervals, considering historical or projected energy usage data to provide an accurate forecast of combined energy savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If multiple energy technology solutions are combined to improve energy consumption outcomes, then the overall energy savings and cost reduction are enhanced, but the accuracy of forecasting the combined impact deteriorates due to technology interdependencies
Solution Approach 1:
The patent segments the combined energy technology system into individual technology components, each with its own impact model. The forecasting process divides the overall impact calculation into separate sequential steps for each technology, allowing the system to account for interdependencies while maintaining calculation accuracy through structured decomposition of the complex multi-technology system.
2Productivity
If simple additive methods are used to calculate combined energy savings, then the calculation process is simplified and faster, but the forecasting accuracy deteriorates due to ignoring technology interdependencies
Solution Approach 1:
The patent implements preliminary action by establishing a sequential processing framework that pre-defines the order in which technology impacts are calculated and applied. This structured approach allows the system to process technologies in a predetermined sequence, accounting for interdependencies without requiring complex real-time calculations, thus maintaining both speed and accuracy.
3Measurement precision
If detailed sequential impact analysis is performed for each energy technology, then the forecasting accuracy is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent applies segmentation by breaking down the complex forecasting task into discrete, manageable segments corresponding to individual energy technologies. Each segment processes one technology's impact separately using standardized models, reducing the overall system complexity while maintaining comprehensive analysis through systematic division of the forecasting process.
Data Source
AI summary
A method of forecasting the combined impact the introduction of energy technology solutions will have on the energy consumption at a site. The method comprises selecting a plurality of energy technology solutions suitable for use at the site; and generating energy usage data for the site in predetermined time intervals over a predetermined duration. Energy impact data is created for each selected energy technology solution over each predetermined time interval to generate impacted energy data for each selected energy technology solution in a sequential manner. A combined impacted energy data is compared against the energy usage data for the site to determine a forecast combined impact the introduction of the selected energy technology solutions will have on the energy consumption at the site.