Multi-Source Energy Harvesting Management System
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Solution Overview
Problem
Current multi-source energy harvesting systems lack an efficient management strategy that optimizes energy usage based on harvested energy statistics and consumption patterns, leading to suboptimal energy efficiency in wireless communication devices and networks.
Innovation Solution
A combined multi-source energy harvesting and communication management system is developed, integrating energy control interfaces, combiners, storage and transfer units, memory, and communication management units to create a strategy for optimizing energy use from various sources like sunlight, RF, and vibrations, enabling efficient energy distribution and storage across wireless devices and networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple energy sources are integrated without a management strategy, then energy availability increases, but energy efficiency deteriorates due to lack of optimization
Solution Approach 1:
The system implements a management strategy that collects statistics on harvested energy from multiple sources and consumption patterns, then uses this feedback to dynamically optimize energy distribution and harvesting decisions, resolving the contradiction between increased energy availability and maintaining energy efficiency
Solution Approach 2:
The system dynamically adjusts energy harvesting and distribution based on real-time statistics about energy sources and consumption, transitioning from static integration to adaptive management that optimizes efficiency while maintaining high energy availability
2Reliability
If energy harvesting components are added to wireless devices, then energy self-sufficiency improves, but device complexity increases
Solution Approach 1:
The management strategy serves multiple functions simultaneously: it monitors energy harvesting from various sources, tracks consumption patterns, makes optimization decisions, and coordinates distribution, thereby improving energy self-sufficiency while managing complexity through a multi-functional control system
Solution Approach 2:
The system combines energy harvesting components, storage units, and communication management into an integrated architecture where the management strategy unifies control of multiple functions, achieving energy self-sufficiency without proportionally increasing overall system complexity
3Productivity
If real-time energy statistics are collected and processed, then energy distribution optimization improves, but processing overhead and complexity increase
Solution Approach 1:
The management strategy processes energy statistics to the extent necessary for optimization decisions, collecting and analyzing data from energy sources and consumption patterns without excessive processing, thereby improving distribution efficiency while limiting processing overhead to what is truly 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
This system enhances energy efficiency by integrating multiple energy sources and optimizing energy distribution according to real-time statistics, allowing for sustainable communication and increased energy availability at any time, while minimizing energy consumption and maximizing harvested energy.
Implementation Method 1
energy harvesting modules (1) which enable to obtain energy from a single source
Implementation Method 2
obtain energy from a particular energy source which is in the environment of the devices that consume low power
Implementation Method 3
collect energy from different energy sources of the environment including solar energy, thermal energy and vibration
Implementation Method 4
Energy retrieved from different sources are combined with minimum energy loss by means of an energy combiner
Implementation Method 5
energy storage and transfer unit (8), which transfers the energy combining strategy received from the management module (3) to the energy combiner (7)
Data Source
AI summary
A combined multi-source energy harvesting and communication management system which enables to obtain high efficiency energy by means of the configuration among the energy control interface (6), the energy combiner (7), the energy storage and transfer unit (8), the memory (9), the energy management unit (10) and the communication management unit (11).