Dynamic Energy Savings Allocation for Remote Lighting Networks
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Solution Overview
Problem
Customers are hesitant to adopt energy-efficient light fixtures due to their higher upfront costs, despite long-term energy savings, as the immediate cost barrier discourages their use.
Innovation Solution
A computerized system that collects energy consumption data from energy-efficient light fixtures equipped with wireless communication devices, calculates energy savings, and dynamically allocates these savings between customers and enterprises, providing incentives such as discounts or rebates to encourage the use of energy-efficient lighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If energy efficient light fixtures are used, then energy consumption is reduced, but upfront cost increases
Solution Approach 1:
The system performs preliminary actions by calculating and allocating energy savings amounts before the customer fully bears the upfront cost. The enterprise determines the energy savings amount based on projected energy consumption data and allocates a portion to the customer as an incentive, effectively preparing financial support in advance to offset the higher initial cost of energy efficient light fixtures.
Solution Approach 2:
The system implements feedback by continuously monitoring energy consumption data from light fixtures and dynamically adjusting the allocation of energy savings amounts. The enterprise receives feedback on actual energy consumption patterns and uses this information to recalculate and redistribute savings amounts, creating a closed-loop system that adapts to actual performance and reinforces the benefit of choosing energy efficient fixtures.
2Ease of operation
If energy savings are allocated to customers, then adoption incentive increases, but enterprise revenue decreases
Solution Approach 1:
The system applies dynamics by making the allocation of energy savings amounts flexible and adjustable rather than fixed. The enterprise can dynamically modify allocation ratios, time periods, and amounts based on business objectives, customer performance, and market conditions. This dynamic approach allows the enterprise to optimize between providing adoption incentives and maintaining revenue, adapting the revenue-sharing arrangement in real-time rather than being locked into static terms.
Data Source
AI summary
According to some embodiments, data about a plurality of remote energy efficient light fixture networks may be received, and each energy efficient light fixture network is associated with a customer of an enterprise and includes a plurality of energy efficient light fixtures equipped with wireless communication devices. Based on data indicative of energy consumption by a first customer, a first energy savings amount may be determined for the first customer in connection with a pre-determined period of time. An allocation of the first energy savings amount between the first customer and the enterprise may be dynamically calculated and an indication of the allocation between the first customer and the enterprise may be transmitted.


