Systems and methods for automated pool heating unit configurations
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Solution Overview
Problem
Current pool automation systems do not effectively manage multiple types of pool heating units, leading to inefficiencies in energy usage and cost, as they lack the ability to automatically switch between different heating options based on various parameters such as cost, time, and user preferences.
Innovation Solution
An automated hybrid pool heating system that employs a controller to automatically switch between different types of pool heating units (gas, heat pump, solar, etc.) based on input parameters like solar capacity, ambient temperature, user preferences, and demand response, using artificial intelligence or simplified algorithms to optimize energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single type of pool heating unit is used, then the system is simple to operate and control, but the system cannot optimize energy usage or reduce operational costs by switching between different heating options
Solution Approach 1:
The pool heating system is designed to accommodate multiple types of heating units (solar, gas, electric, heat pump) within a single control framework. The controller can select and operate different heating unit types based on various parameters including energy costs, ambient temperature, and user preferences, making the system versatile while maintaining ease of operation through automated decision-making
2Speed
If gas heating units are used to heat the pool quickly, then the heating speed is high, but the operational cost increases
Solution Approach 1:
The system dynamically selects between different heating unit types based on real-time conditions. When rapid heating is required and cost is less critical, gas heating units provide quick heating. When cost optimization is prioritized and time is less critical, the controller switches to more economical options like heat pumps or solar heating, creating a dynamic balance between heating speed and operational cost
Solution Approach 2:
The controller changes operational parameters by selecting different heating unit types based on varying conditions such as ambient temperature, desired pool temperature, and cost parameters. This allows the system to optimize the balance between heating speed and operational cost by adjusting which heating unit is active based on current priorities
3Loss of energy
If heat pumps are used to reduce operational costs, then the cost is lower, but the heating effectiveness decreases in lower temperature environments
Solution Approach 1:
The controller acts as an intermediary that monitors ambient temperature and automatically switches between heating unit types. When ambient temperature drops below optimal heat pump operating conditions, the controller transitions to gas or electric heating units that maintain reliability in cold environments, while still prioritizing cost-effectiveness when conditions are favorable for heat pumps
4Loss of energy
If solar heating units are used to minimize operational costs, then the cost is lowest, but the heating capability is limited by sunlight availability
Solution Approach 1:
The system uses solar heating units during daylight hours when sunlight is available, capturing free energy to heat the pool. The controller is programmed to prioritize solar heating during optimal conditions, and automatically transitions to alternative heating units when sunlight becomes unavailable, ensuring continuous heating capability while minimizing operational costs
Solution Approach 2:
The system operates solar heating units periodically during daylight hours when energy is available, and switches to backup heating units during nighttime or cloudy conditions. This periodic operation of solar units maximizes their cost-saving potential while maintaining overall system reliability through automated switching based on environmental conditions
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 optimizes energy usage by selecting the most cost-effective and efficient heating unit at any given time, reducing operational costs and ensuring pools are heated quickly when needed, while also allowing user override for manual control.
Implementation Method 1
gas heating units use natural gas or propane that is ignited by a flame to heat water as it flows through the unit
Implementation Method 2
a heat pump uses air from the environment to heat the water. Warm air is drawn over an evaporator coil by a fan. The water flows through a heat exchanger and is then returned to the pool
Implementation Method 3
a solar heating unit (which may include an array of solar panels) uses energy from the sun to heat the pool. Water is pumped through the solar panel(s) and is warmed by the natural heat of the sun that is absorbed by the solar panel(s)
Data Source
AI summary
Disclosed are systems and methods for automated hybrid pool heating unit configurations. An example method may include determining, by a processor, a first input parameter associated with an operation of a pool heating system comprising a first pool heating unit and a second pool heating unit, wherein the first pool heating unit is a first type of pool heating unit and the second pool heating unit is a second type of pool heating unit. The example method may also include sending, using the processor, based on receiving the first input parameter, a first signal to enable the first pool heating unit to heat a first pool. The example method may also include determining, by the processor, a second input parameter. The example method may also include sending, using the processor, based on receiving the second input parameter, a second signal to enable the second pool heating unit to heat the first pool.