Energy-efficient systems and methods for producing and vending ice
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Solution Overview
Problem
The existing methods for producing and vending ice are energy-intensive and costly, as they involve shipping and storing large quantities of ice, which do not adapt well to dynamic changes in demand, leading to inefficiencies and increased energy consumption.
Innovation Solution
An automated system that includes an ice-making device, a reservoir, and a control circuit to predict ice demand based on historical data, weather, customer events, and public events, optimizing ice production to match demand and minimizing excess storage, thereby reducing energy costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ice is shipped and stored in large quantities at retail facilities, then ice availability is ensured, but energy consumption and costs increase
Solution Approach 1:
The system performs preliminary action by predicting ice demand in advance using historical data, weather forecasts, and event information. This allows the system to produce ice before it is needed, storing only the predicted necessary amount, thereby reducing the need for large-scale shipping and storage while ensuring availability.
Solution Approach 2:
The retail facility serves itself by having an on-site ice-making device that produces ice locally. This eliminates the need to ship ice from external sources and reduces dependency on external supply chains, thereby reducing energy consumption associated with transportation and large-scale storage.
2Adaptability or versatility
If ice is stored in large quantities, then demand fluctuations can be met, but energy costs for maintaining storage increase
Solution Approach 1:
The system uses feedback by continuously monitoring actual ice usage and comparing it with predicted demand. This feedback loop allows the system to adjust future production predictions, improving adaptability to actual demand patterns while minimizing unnecessary storage and associated energy costs.
Solution Approach 2:
By predicting demand in advance using multiple data sources, the system produces only the necessary amount of ice beforehand, avoiding excessive storage. This preliminary action ensures the system can meet demand fluctuations without maintaining large energy-consuming ice reserves.
3Reliability
If ice production is increased to meet peak demand, then ice availability is ensured, but energy consumption during production increases
Solution Approach 1:
The system produces ice in advance during off-peak periods when energy consumption is lower, based on predicted demand. This eliminates the need for intensive production during peak demand periods, thereby reducing overall production energy costs while ensuring ice availability when needed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system efficiently produces and vends ice by aligning production with demand, reducing energy consumption and costs associated with storing excess ice, while allowing for flexible response to changes in demand.
Implementation Method 1
an ice-making device configured to manufacture ice
Implementation Method 2
a reservoir coupled to the ice-making device and configured to store the ice manufactured by the ice-making device
Data Source
AI summary
Systems and methods are provided herein for producing and vending ice in an energy-efficient manner. A system for producing and vending ice comprises: an ice-making device configured to manufacture ice; a reservoir coupled to the ice-making device and configured to store the manufactured ice manufactured; and a control circuit communicatively coupled to the ice-making device, the control circuit configured to: determine a beginning ice inventory at a first time; determine a predicted ice demand for a first period, wherein the predicted ice demand is a function of at least a historical factor, a weather factor, a customer social event factor, and a public social event factor; determine an ice manufacturing quantity based on the beginning ice inventory, the predicted ice demand, and a manufacturing capacity of the ice-making device; and cause the ice-making device to produce an amount of ice consistent with the determined ice manufacturing quantity.