Dynamic Power Demand Limiting with User Impact Ratio
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Solution Overview
Problem
Existing power demand limiting systems face challenges in sectors like commercial buildings, retail, and hotels due to lack of real-time monitoring and parameter adjustment, leading to higher utility costs and consumer dissatisfaction, particularly affecting HVAC and lighting systems.
Innovation Solution
A method and device that compute demand limiting threshold values based on predefined parameters and determine a demand limiting mode to be enabled or disabled based on cost benefit and impact, with a processor executing a demand limiting strategy on target equipment through a switching sequence, prioritizing loads to minimize impact on users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If demand limiting is implemented using conventional systems, then power consumption is reduced during peak hours, but consumer satisfaction deteriorates due to load curtailment activities affecting HVAC and lighting systems
Solution Approach 1:
The system dynamically changes operational parameters by adjusting the demand limiting threshold based on the ratio between cost benefit and user impact. When the ratio indicates acceptable impact, demand limiting is enabled; when impact becomes too high, the threshold is adjusted or limiting is disabled, allowing flexible parameter adaptation to balance energy reduction with user comfort
Solution Approach 2:
The system continuously monitors the impact on user comfort and the cost benefits achieved, computing a ratio that feeds back into the decision-making process. This feedback mechanism allows the system to adjust its demand limiting strategy in real-time, disabling limiting when user impact becomes unacceptable and re-enabling when conditions improve, thus resolving the contradiction between energy reduction and user satisfaction
2Device complexity
If demand limiting is implemented without real-time monitoring, then system complexity is reduced, but utility costs increase due to ineffective demand limiting
Solution Approach 1:
The system implements real-time monitoring by continuously computing the ratio of cost benefit to user impact and using this feedback to dynamically adjust demand limiting actions. This feedback loop ensures that demand limiting is only applied when it is effective and appropriate, preventing wasteful energy reduction attempts while maintaining manageable system complexity through algorithmic decision-making
Solution Approach 2:
The system transitions from static demand limiting to dynamic demand limiting by continuously adjusting the limiting threshold based on real-time conditions. The demand limiting threshold is not fixed but adapts dynamically based on the computed ratio, allowing the system to respond to changing conditions and maintain effectiveness without requiring overly complex infrastructure
3Loss of energy
If demand limiting threshold is set too low, then power demand reduction is maximized, but user comfort deteriorates significantly
Solution Approach 1:
The system changes the effective threshold parameter dynamically by computing a demand limiting threshold that is adjusted based on the ratio between cost benefit and user impact. This parameter adaptation allows the threshold to be high enough to protect user comfort when necessary, while still enabling sufficient power demand reduction when conditions are favorable
Solution Approach 2:
The demand limiting threshold transitions from a static value to a dynamic parameter that adapts in real-time based on system conditions. The threshold is continuously adjusted according to the computed ratio, enabling the system to maximize power demand reduction when user impact is acceptable and to raise the threshold or disable limiting when user comfort would be significantly compromised
Data Source
AI summary
The present disclosure relates to a method and device for limiting demand of power for a power consumption system. The method comprises computing demand limiting threshold values based on one or more predefined parameters and further determining a demand limiting mode of the power consumption system to be one of enabled and disabled based on the demand limiting threshold values, the one or more predefined parameters and a ratio which is based on benefit to a user in terms of cost and impact on the user associated with the demand limiting mode. The method further comprises identifying demand limiting strategy based on the one or more predefined parameters and the impact when the demand limiting mode is enabled. Further the method comprises executing the demand limiting strategy on one or more target equipment based on a switching sequence.