Air Conditioner Load Cycling for Peak Demand Management
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Solution Overview
Problem
Power distributors face challenges in managing peak demand spikes, leading to brownouts and higher energy costs due to unpredictable power requests from customers, as they lack advance information on customer power requirements.
Innovation Solution
Implementing Intelligent Appliance Load Managers (IALMs) and Intelligent Electrical Load Managers (IELMs) that communicate with power distributors to schedule power usage in advance, allowing electrical devices to operate during off-peak hours when electricity is cheaper, thereby reducing peak demand and more evenly distributing power throughout the day.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If power distributors allow customers to request power on demand without advance scheduling, then customers have immediate access to power when needed, but power demand spikes occur leading to brownouts and higher energy costs
Solution Approach 1:
The system performs preliminary actions by having customers schedule power requests in advance before the actual power is needed. The IELM receives and processes power requests ahead of time, allowing the power distributor to prepare and distribute power more evenly, avoiding last-minute demand spikes while still ensuring power availability when needed.
2Reliability
If power distributors increase power distribution capacity to handle peak demand, then power supply reliability improves, but energy costs increase due to inefficient utilization of power infrastructure
Solution Approach 1:
The system implements dynamic power distribution by continuously adjusting power allocation based on scheduled requests and real-time conditions. Instead of maintaining static high capacity for peak demand, the system dynamically scales power distribution to match actual needs, improving both reliability and efficiency by ensuring adequate capacity is available when needed without wasteful over-provisioning.
3Loss of time
If customers use power during peak demand periods, then they can operate devices when needed, but energy costs increase and power supply reliability decreases
Solution Approach 1:
The system enables customers to perform preliminary scheduling of power usage, allowing them to plan device operation in advance. The IELM processes these scheduled requests and coordinates with the power distributor to provide power during optimized time periods, reducing costs while maintaining operational flexibility through advance planning rather than reactive peak-demand usage.
Data Source
AI summary
A home appliance can operate in a future time frame. Information is obtained from a power distributor in order to determine a time when to operate the home appliance in this future time frame. The home appliance then operates at the time determined with information from the power distributor.