Description:FIELD OF THE INVENTION
The field of this invention is renewable energy technology, specifically focusing on hybrid energy systems that combine solar and wind power. It integrates automation and control systems for efficient energy harvesting, along with cloud-based IoT solutions for real-time monitoring and management. This technology supports sustainable, portable energy solutions suitable for off-grid applications, remote areas, and smart energy grids.
BACKGROUND OF THE INVENTION
In today’s world, sustainability and portability in generating energy are highly required because very remote areas can only be supplied through clean power, emergency locations, as well as off-grid applications, and existing portable power systems rely on non-renewable energy sources or do not manage renewable energy sources efficiently while most of them lack key smart features, such as automated deployment, dual-axis tracking, and real-time monitoring of performance. To solve this, issue a smart hybrid energy generator, integrating solar and wind energy generation in a portable design, with automated operation and cloud-based data management could be designed.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The Smart Portable Solar-Wind Hybrid Energy Generator combines high technology solar and wind energy systems in the best possible way to achieve maximal energy capture, adaptability, and user experience. The solar panels feature a dual-axis tracking mechanism driven by Light Dependent Resistors, and servo motors allow for dynamic positioning according to the sun's position to optimize efficiency. The panels auto-retract when there is less sunlight, which reduces the wear and tear on the system, and real-time energy monitoring is provided due to integrated voltage and current sensors for efficient management and diagnostics. This is supported by a high-efficiency turbine with a multi-layered magnet and copper coil design, optimized through advanced electromagnetic induction. It incorporates a wind sensor, such as an anemometer, to measure wind speeds and activate a motorized deployment mechanism that deploys the windmill when conditions are favourable, thereby enhancing energy generation and system safety. Continuously monitored by voltage and current sensors, this hybrid generator exhibits intelligent automation, reliability, and efficiency-making it versatile in sustainable energy applications.
The Smart Portable Solar-Wind Hybrid Energy Generator features advanced hardware and software modules to ensure efficient, real-time energy management, monitoring, and control through its Data Management and Cloud Integration and Power Management System. Fundamentally, a microcontroller acts as the central processing unit, which interfaces sensors to measure critical parameters including voltage, current, and environmental conditions. The readings are transferred through an IoT module and can be wirelessly connected to cloud-based platforms like AWS IoT Core, Google Cloud IoT, or Firebase. This integration on the cloud supports the storing and processing of real-time data that can be remotely accessed, including detailed performance metrics. Users can make adjustments on operational parameters with a friendly interface on their devices. The system has a Power Management System that includes a Rechargeable Battery for energy storage to ensure availability during low sunlight or wind conditions. The Charge Controller manages the flow of energy from the solar panels and wind turbines to the battery, preventing overcharging and deep discharge to enhance the lifespan of the battery. A DC-DC Converter regulates and stabilizes the voltage output, allowing for varying energy inputs and providing consistent power to connected devices or systems. This would combine real-time cloud-based analytics with robust energy storage and distribution to optimize operational efficiency and energy utilization, besides supporting predictive maintenance and optimization of the system, making this a highly adaptable and reliable framework for portable energy generation.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
FIGURE 1: ANATOMY OF A HYBRID WIND-SOLAR ENERGY MANAGEMENT SYSTEM
FIGURE 2: SOLAR ENERGY SYSTEM
FIGURE 3: WIND ENERGY SYSTEM
FIGURE 4: THIS IMAGE PROVIDES THE SIDE VIEW OF THE PROJECT INDICATES THE WIND TURBINE WHICH GENERATES ENERGY WITH TWICE TIMES EFFICIENCIES
FIGURE 5: THE IMAGE REPRESENTS THE INTERNAL DESIGN AND STRUCTURE OF THE PROJECT WITH THE DUAL AXIS REVOLVING SOLAR PANEL WITH NEARBY 70-80% OF MORE EFFICIENT ENERGY GENERATION CAPABILITIES.
FIGURE 6: THE IMAGE REPRESENTS THE PLAN WHICH EXACTLY RESEMBLE TO THE PROJECT WITH CLOSER LOOK TO THE COMPONENTS
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The Smart Portable Solar-Wind Hybrid Energy Generator combines high technology solar and wind energy systems in the best possible way to achieve maximal energy capture, adaptability, and user experience. The solar panels feature a dual-axis tracking mechanism driven by Light Dependent Resistors, and servo motors allow for dynamic positioning according to the sun's position to optimize efficiency. The panels auto-retract when there is less sunlight, which reduces the wear and tear on the system, and real-time energy monitoring is provided due to integrated voltage and current sensors for efficient management and diagnostics. This is supported by a high-efficiency turbine with a multi-layered magnet and copper coil design, optimized through advanced electromagnetic induction. It incorporates a wind sensor, such as an anemometer, to measure wind speeds and activate a motorized deployment mechanism that deploys the windmill when conditions are favourable, thereby enhancing energy generation and system safety. Continuously monitored by voltage and current sensors, this hybrid generator exhibits intelligent automation, reliability, and efficiency-making it versatile in sustainable energy applications.
The present invention features advanced hardware and software modules to ensure efficient, real-time energy management, monitoring, and control through its Data Management and Cloud Integration and Power Management System. Fundamentally, a microcontroller acts as the central processing unit, which interfaces sensors to measure critical parameters including voltage, current, and environmental conditions. The readings are transferred through an IoT module and can be wirelessly connected to cloud-based platforms like AWS IoT Core, Google Cloud IoT, or Firebase. This integration on the cloud supports the storing and processing of real-time data that can be remotely accessed, including detailed performance metrics. Users can make adjustments on operational parameters with a friendly interface on their devices.
The system has a Power Management System that includes a Rechargeable Battery for energy storage to ensure availability during low sunlight or wind conditions. The Charge Controller manages the flow of energy from the solar panels and wind turbines to the battery, preventing overcharging and deep discharge to enhance the lifespan of the battery. A DC-DC Converter regulates and stabilizes the voltage output, allowing for varying energy inputs and providing consistent power to connected devices or systems. This would combine real-time cloud-based analytics with robust energy storage and distribution to optimize operational efficiency and energy utilization, besides supporting predictive maintenance and optimization of the system, making this a highly adaptable and reliable framework for portable energy generation.
The Smart Portable Solar-Wind Hybrid Energy Generator with Automated Tracking and Cloud Integration follows a sophisticated workflow intended for efficiency and reliability. Upon powering on, the system performs a comprehensive self-test to ensure all components-sensors, actuators, control mechanisms-are operational. Within the Solar Panel Deployment, LDR sensors continuously monitor light intensity. When sufficient amounts of sunlight are detected, this system automatically opens its protective roof, using motorized actuators to deploy the panels. It then aligns the panels with the sun using multiple LDR sensors controlling its dual-axis tracking system; thus it captures maximum solar energy for the day. During weak sunlight and in the absence of any sunlight, the system completely withdraws the solar panels to the enclosure. The roofs close firmly over the top, keeping them free from risks such as rain, dust, and wind. This has a high efficiency rate, robustness, and very little maintenance, all of which have made this generator very adaptive to adverse conditions.
In the Windmill Deployment of the Smart Portable Solar-Wind Hybrid Energy Generator, this system is installed with a wind sensor to monitor at all times the speed of wind. When the wind reaches a certain predefined threshold of speed, the system has triggered the deployment of this compact windmill, and this will appear seamlessly through its protective housing. Thereafter, it captures energy in the kinetic motion through which electricity is generated according to the principle of electromagnetic induction. This energy is finally added to the total output power of the hybrid generator. On the other hand, when the wind speed declines to a level that is less than its optimum, meaning that the system has entered suboptimal wind energy generation conditions, the windmill automatically folds into the box. It not only saves the windmill for poor weather conditions but makes the energy generator system lighter and more portable. This automated deployment and retraction process, therefore, is an efficient utilization of wind energy with the compact and portable design of the generator.
The Smart Portable Solar-Wind Hybrid Energy Generator ensures optimal renewable energy production capabilities by combining advanced data monitoring and cloud storage. Within the system, highly precise voltage and current sensors allow for constant monitoring of all energy outputs from the solar panels as well as those from the wind turbine. These sensors are placed at critical points in the energy generation path to measure the electrical parameters such as voltage fluctuations, current flow, and power output in real time. The data collected by the sensors is fed into a microcontroller, which serves as the central processing unit for the system. This microcontroller processes raw sensor data and transforms this into meaningful real-time performance metrics. The processed information is transmitted wirelessly, using a Wireless IoT (Internet of Things) module, to a cloud platform that serves as a center for aggregating data from various sources, performing statistical analysis, and presenting meaningful information. This allows hybrid energy generators to interact harmoniously with cloud infrastructures, enabling constant monitoring even from a remote distance. Users can access a cloud dashboard where the energy output data from both the solar panels and windmill is displayed in a user-friendly interface. The dashboard provides comprehensive details such as instantaneous power generation, cumulative energy output, system efficiency, and other critical performance parameters. In addition to real-time data visualization, the cloud platform supports advanced data analytics to offer insights into the system's performance over time. The platform can provide predictive maintenance alerts based on trends in energy production, so users can intervene in time and avoid system failures. In addition, historical data is stored in the cloud, which allows users to track patterns of energy generation, optimize configurations of systems, and generate reports for performance analysis and troubleshooting. This integration of cloud storage with data monitoring further enhances the system's efficiency, access, and reliability, equipping users to remotely monitor and control their hybrid energy system from any location globally. This approach makes energy generation more efficient while leading towards the comprehensive objective of sustainable and intelligent energy solutions.
The Smart Portable Solar-Wind Hybrid Energy Generator is to be optimized in the operation of renewable energy production integrating advanced data monitoring and cloud storage. The system would be built with highly accurate voltage and current sensors which continuously monitor the energy outputs from the solar panels as well as the wind turbine. The critical points along the energy generation path have been fitted with these sensors. These sensors take in measurements of the real-time voltage fluctuations, the flow of current, and power output. The microcontroller will then process all these readings taken by the sensors as the central processing unit of the system. This microcontroller processes raw sensor data into meaningful, real-time performance metrics. Data then gets transmitted to the cloud-based platform, being a central hub for gathering, analyzing, and visualizing data. This makes communication between the hybrid energy generator and the cloud infrastructure possible without any interference because of the IoT module involved. Users can access a cloud dashboard where the energy output data from both the solar panels and windmill is displayed in a user-friendly interface. The dashboard provides comprehensive details such as instantaneous power
generation, cumulative energy output, system efficiency, and other critical performance parameters. In addition to real-time data visualization, the cloud platform supports advanced data analytics to offer insights into the system's performance over time. This allows for predictive maintenance alerts based on trends in energy production so that users can intervene timely to prevent system failures. Also, historical data is kept in the cloud so that users can track patterns in energy generation, optimize system configurations, and produce reports for performance analysis and troubleshooting. With integration of cloud storage with monitoring of data, this highly improves the system's operation efficiency, accessibility, and reliability. The tools it provides allow users to access and control and monitor a hybrid energy system from any place in the world. This setup makes the process of energy generation much more efficient and supports the main goal of achieving sustainable smart energy solutions.
ADVANTAGES OF THE INVENTION:
• The system integrates dual renewable energy sources—solar and wind—to provide uninterrupted power under varying weather conditions, enhancing reliability and robustness, especially in remote or unpredictable environments.
• The system features fully automated operation, deploying solar panels and wind turbines based on real-time environmental data, optimizing energy output with minimal manual intervention.
• Advanced dual-axis solar tracking using Light Dependent Resistors (LDRs) enables the solar panels to continuously align with the sun, maximizing solar energy capture and significantly improving efficiency over traditional fixed panels.
• Seamless cloud integration allows the system to monitor and log energy production data, including voltage, current, and environmental conditions, enabling real-time remote access, performance analysis, and predictive maintenance for optimized energy management.
• The compact and portable design makes the system ideal for off-grid applications, disaster relief, and areas without traditional power sources while delivering high efficiency and eco-friendly power.

, Claims:1. A portable energy generator device, comprising: Portable Energy, Hybrid Energy Generator, Solar and Wind Integration, Dual-Axis Tracking, Automated Operation, Real-Time Monitoring system.
2. The system as claimed in claim 1, wherein the system features a dual-energy generation mechanism combining solar energy and wind energy, the latter generating power from both rotor shaft motion and electromagnetic induction.
3. The system as claimed in claim 1, wherein an automated system with embedded sensors and motorized mechanisms for deploying/retracting solar panels and wind turbines based on environmental conditions, including dual-axis solar tracking.
4. The system as claimed in claim 1, wherein the system includes a voltage meter for real-time voltage monitoring and a raindrop sensor to detect weather conditions, enabling fault diagnostics by determining if low voltage is weather-related or due to solar panel damage.
5. The system as claimed in claim 1, wherein the system that transmits operational data and fault alerts, such as solar panel damage, via email notifications for remote monitoring and timely maintenance.