Enthalpy-Based Energy Usage Analysis Across Facilities
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Solution Overview
Problem
Large organizations with multiple remote facilities face challenges in efficiently monitoring and managing energy usage across varying climates, making it difficult to assess and implement effective energy conservation systems that reduce energy consumption while maintaining suitable environments.
Innovation Solution
A central monitoring and control system that gathers daily temperature, humidity, and energy-usage data from remote facilities, calculates enthalpy values, and uses linear regression techniques to model energy usage as a function of enthalpy, allowing for the assessment of energy-usage-altering systems and methods across facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If energy conservation systems are implemented across multiple remote facilities, then energy usage is reduced, but it becomes difficult to assess effectiveness due to varying climates
Solution Approach 1:
The patent transforms multiple weather parameters (temperature, humidity) into a single composite parameter (enthalpy) that captures the combined effect of climate conditions on energy usage. This allows consistent assessment across diverse climates by normalizing the impact of varying weather conditions into one standardized metric that can be uniformly applied to all facilities.
2Adaptability or versatility
If facilities are spread across diverse climates, then operational flexibility is improved, but energy management complexity increases
Solution Approach 1:
The patent creates a universal energy management approach that works across all facilities regardless of climate. By using enthalpy as a common denominator and applying linear regression modeling uniformly, the system provides a single methodology that handles diverse climate conditions, eliminating the need for facility-specific complex analysis while maintaining adaptability to local conditions.
3Measurement precision
If detailed weather data is collected from each facility, then analysis accuracy is improved, but data processing requirements increase
Solution Approach 1:
The patent extracts only the essential weather parameters (temperature and humidity) needed for energy analysis, discarding extraneous data. By focusing on these two key parameters and combining them into enthalpy, the system achieves accurate energy usage analysis without processing unnecessary weather information, significantly reducing data processing time and computational requirements.
Data Source
AI summary
Embodiments of the invention relate to apparatuses and methods for gathering and analyzing facility weather data, such as temperature and humidity data, and energy-usage data, such as electricity-usage data, from a plurality of remote facilities and using the analysis to assess energy-using systems and/or methods across an organization made up of the plurality of remote facilities.