Pool And Spa Heating Schedules Using Weather-Based Start Time Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Homeowners struggle to efficiently control pool and spa heaters to achieve desired water temperatures at specific times, often wasting energy by overheating or underheating due to lack of scientific guidance on operating parameters.
Innovation Solution
A system that utilizes historical and current weather data, weather forecasts, and equipment performance data to model optimal heater operation schedules, considering multiple heating devices and environmental conditions, to achieve desired water temperatures while minimizing energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If homeowners operate heaters at higher power levels or start earlier to ensure desired temperature is reached, then the water temperature reliability is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary calculations using weather forecasts and historical data to determine the optimal heater start time and power level. This allows the heater to be activated early enough to ensure the desired temperature is reached, but not so early as to waste energy. The controller pre-computes the heating schedule based on predicted environmental conditions.
Solution Approach 2:
The system continuously monitors actual weather conditions, water temperature, and heater performance, then adjusts future heating schedules accordingly. This feedback loop ensures that the heater operates reliably to meet temperature targets while optimizing energy consumption based on real-world performance data.
2Use of energy by moving object
If homeowners operate heaters at lower power levels or start later to reduce energy waste, then energy consumption is reduced, but the water temperature reliability deteriorates
Solution Approach 1:
The system performs preliminary calculations using weather forecasts and historical data to determine the optimal heater start time and power level. This allows the heater to be activated early enough to ensure the desired temperature is reached, but not so early as to waste energy. The controller pre-computes the heating schedule based on predicted environmental conditions.
Solution Approach 2:
The system dynamically adjusts heater operation based on real-time weather conditions and forecasts. Rather than using a fixed schedule, the controller modifies heating parameters dynamically to match actual environmental conditions, ensuring both temperature reliability and energy efficiency.
3Use of energy by moving object
If the system uses detailed weather data and historical performance information to model optimal heating schedules, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The system introduces a software-based weather service as an intermediary that handles the complex data collection, processing, and modeling tasks. Rather than embedding complex weather modeling algorithms directly in the controller, the system uses an external service to provide processed weather information and predictions, simplifying the controller's functionality.
Solution Approach 2:
The system uses historical performance data as a copy of past operating conditions to predict future heater behavior under similar conditions. This allows the system to model optimal heating schedules without requiring complex real-time simulations, leveraging patterns from historical data instead.
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 effectively determines suitable heater operation times and conditions, ensuring timely achievement of desired water temperatures while reducing energy waste, by using software to create and adjust heating cycles based on user inputs and environmental factors.
Implementation Method 1
control heaters or other equipment of the users' pools or spas so as to achieve the identified water temperatures
Implementation Method 2
cooling pools or spas when the ambient temperature is high
Implementation Method 3
circulation pump, or other pool equipment
Data Source
AI summary
“Just in time” operational techniques allow equipment of swimming pools or spas to achieve identified water temperatures at specified times. A user may supply information such as a desired water temperature (i.e. a temperature set point) and a time at which the water is desired to be at the desired temperature. After receiving the user-supplied information, software may account as well for certain environmental conditions to devise a suitable schedule for controlling heating of the water of the swimming pool or spa. Adjustments may be made to the schedule based on then-current water temperatures or other changed conditions.