Abstract: ADAPTIVE WIND ENERGY HARVESTING SYSTEM FOR LOW TO MODERATE WIND CONDITIONS WITH IMPROVED EFFICIENCY AND ENVIRONMENTAL INTEGRATION The present invention relates to an Adaptive Wind Energy Harvesting System (WEHS) designed for efficient energy conversion under low to moderate wind conditions with enhanced environmental integration. The system comprises a wind turbine with a rotor hub and blades that convert wind kinetic energy into mechanical energy, which is subsequently transformed into electrical energy through a generator. The generated alternating current (AC) is processed through a rectifier, boost converter, inverter, and step-up transformer for grid integration, or stored as direct current (DC) in batteries for standalone operation. A Maximum Power Point Tracking (MPPT) controller dynamically adjusts system parameters to ensure optimal power extraction despite variations in wind speed and turbine characteristics. Integration of artificial intelligence and deep learning techniques enhances the efficiency and accuracy of MPPT by forecasting wind fluctuations and adjusting operations in real-time. The system features a modular and scalable architecture suitable for applications ranging from residential to industrial use and supports hybrid integration with solar and other renewable sources for grid-independent functionality. Additionally, AI-based predictive maintenance capabilities improve system reliability, reduce downtime, and lower operational costs, while the use of recyclable materials contributes to environmental and economic benefits.
Description:FIELD OF THE INVENTION
This invention relates to Adaptive Wind Energy Harvesting System for Low to Moderate Wind Conditions with Improved Efficiency and Environmental Integration
BACKGROUND OF THE INVENTION
The use of wind energy demonstrates promise as it represents a renewable energy source for generating electricity. Modern wind energy harvesting methods experience problems regarding their efficiency rates and scalability properties and their capability to blend with natural environments. Currently operational wind turbines struggle to generate power efficiently within regions with weak to normal wind velocity because they are big and expensive to maintain. Traditional wind energy approaches deal with service problems and sonic disturbances and present visual issues as well. The current wind energy technologies restrict wider wind power adoption because they struggle to operate effectively in populous areas and inconsistent wind areas. A next-generation wind energy harvesting technology must exist to efficiently harvest power across all wind conditions at favorable pricing with minimal damage to the environment.
EXISTING SOLUTIONS / PRIOR ART/RELATED APPLICATIONS &PATENTS:
1. Traditional Wind Turbines:
Description: Regular turbine technology stands as the largest-used method to transform wind energy into electrical power. The system consists of horizontal blades attached to a tall tower for harnessing kinetic wind energy to drive generators producing electrical power.
Challenges: The operation of these turbines depends highly on wind speeds above average because they reach maximum efficiency in powerful wind currents but cannot function properly in low and moderate wind zones. The traditional turbine needs both extensive physical space because it needs big land or offshore deployments. Because of their big size and difficult nature the installation along with maintenance expenses become very expensive.
The audiological effect of moving turbine blades produces noticeable sounds that represent a problem for homes and environmentally protected zones.
2. Vertical Axis Wind Turbines (VAWTs):
Description: The operational principle of vertical axis wind turbines consists of blades rotating through a vertical axis while horizontal-axis turbines function in a different manner. Such turbine designs demonstrate flexibility for home and urban applications because they stay compact and need less direction to work efficiently.
Challenges: The efficiency of vertical turbines declines when wind speed reaches high ranges above those suitable for horizontal-axis turbines. The combination of complex mechanical features in VAWTs creates systems that become problematic for maintenance personnel.
The components experience shortened operational lifespans while experiencing increased wear because of variable wind conditions which put excessive stress on them.
3. Darrieus Wind Turbine:
Description: The Darrieus turbine belongs to the VAWT family through its eggbeater-shaped blade design. This technology shows outstanding effectiveness in transforming wind power which works best when winds exhibit either turbulent or gusty behavior at particular locations.
Challenges: The performance of Darrieus turbines suffers both stability issues and efficiency decreased at times when wind speed remains low.
The design demands continuous component maintenance along with performance supervision to prevent early wears associated with its continuous mechanical strain.
4. Wave and Tidal Energy Technologies (Offshore Wind Farms):
Description: Marine technologies integrated with wind turbines operate offshore wind farms as a combined system for collecting ocean current power and wind energy. Tidal power systems find their home in waters near coastlines because this location ensures stable and elevated wind velocity.
Challenges: The establishment of offshore wind power generation facilities demands high amounts of capital to construct deep-water turbines along with underwater cable networks.
The regulations for offshore projects remain strict because they come with both marine ecosystem dangers and safety risks for navigation. Offshore wind farms can exist only within coastal areas because their geographical limitations prevent inland placement of these projects.
5. Wind Energy Storage Solutions (Battery Storage Systems):
Description: Batteries together with flywheels serve as storage facilities to collect surplus energy from wind turbines for later use. These storage systems help stabilize energy production because wind speed varies and during periods of low energy demand.
Challenges: The installation along with the maintenance of energy storage systems particularly large-scale batteries proves financially burdensome to users.
The processes by which energy storage systems convert and retrieve power result in inefficiencies that lower the total efficiency of the system.
Feature Traditional Wind Turbine Proposed Invention
Wind Speed Efficiency High efficiency at strong winds Efficient in both high and low wind speeds
Noise Levels Moderate to high Reduced noise through active flow control
Size Large, bulky Compact, modular, scalable design
Maintenance High due to mechanical complexity Lower maintenance with self-adjusting blades
Energy Storage Separate storage solutions needed Integrated storage system for optimized performance
Environmental Impact Land use and visual impact Minimal land footprint with aesthetic designs
Cost High initial investment Lower cost for small to medium-scale installations
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 Darrieus turbine belongs to the VAWT family through its eggbeater-shaped blade design. This technology shows outstanding effectiveness in transforming wind power which works best when winds exhibit either turbulent or gusty behavior at particular locations.
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.
1. Darrieus Wind Turbine:
Description: The Darrieus turbine belongs to the VAWT family through its eggbeater-shaped blade design. This technology shows outstanding effectiveness in transforming wind power which works best when winds exhibit either turbulent or gusty behavior at particular locations.
Challenges: The performance of Darrieus turbines suffers both stability issues and efficiency decreased at times when wind speed remains low.
The design demands continuous component maintenance along with performance supervision to prevent early wears associated with its continuous mechanical strain.
2. Wave and Tidal Energy Technologies (Offshore Wind Farms):
Description: Marine technologies integrated with wind turbines operate offshore wind farms as a combined system for collecting ocean current power and wind energy. Tidal power systems find their home in waters near coastlines because this location ensures stable and elevated wind velocity.
Challenges: The establishment of offshore wind power generation facilities demands high amounts of capital to construct deep-water turbines along with underwater cable networks.
The regulations for offshore projects remain strict because they come with both marine ecosystem dangers and safety risks for navigation. Offshore wind farms can exist only within coastal areas because their geographical limitations prevent inland placement of these projects.
3. Wind Energy Storage Solutions (Battery Storage Systems):
Description: Batteries together with flywheels serve as storage facilities to collect surplus energy from wind turbines for later use. These storage systems help stabilize energy production because wind speed varies and during periods of low energy demand.
Challenges: The installation along with the maintenance of energy storage systems particularly large-scale batteries proves financially burdensome to users.
The processes by which energy storage systems convert and retrieve power result in inefficiencies that lower the total efficiency of the system.
4. Horizontal Expansion:
The system maintains scalability through modular structure which enables either size increase or reduction of the system based on requirements. The system serves various purposes including residential structures and commercial establishments together with large industrial sectors because it can adjust to different energy needs. The small and well-organized turbine system together with its components permits smooth installation across urban and rural locations while causing minimal space occupancy and environmental damage.
The system deals with conventional wind turbine environmental issues through its design which decreases noise pollution while minimizing visual disturbance. The turbine maintains noise levels minimal through its deployment of quiet efficient blades together with system dimension minimization. This results in reduced auditory emissions during operation. Its elegant design along with its minimal physical reality enables it to work better with dense population areas and areas that demand environmental protection. Self-adjusting mechanisms in addition to advanced materials ensure that the blades face low maintenance needs and show improved durability. Active flow control systems enhance turbine reliability because they maintain peak performance standards without requiring much human intervention. The design technique simplifies mechanical structures of standard turbines which results in diminished maintenance costs as well as prolonged system operation. The system provides automatic compatibility with modern smart grid systems and their technologies. The system enables immediate data acquisition as well as system monitoring alongside power distribution optimization through continuous adjustments. This power system demonstrates excellent suitability for contemporary power grids through its dynamic response capacities which benefit both grid stability and operational resilience and energy demand changes and wind situation modifications.
How It Works: The Wind Energy Harvesting System (WEHS) functions by handling wind energy conversions for efficient electrical energy production. Multiple system components work as a unit to maintain stable power generation. The steps for system operation are explained below:
1. Wind Energy Conversion:
• The wind turbine system contains both a rotor hub alongside blades which work to gather wind energy.
• The moving blades of the machine spin due to wind power which leads to mechanical energy transformation from wind kinetic energy.
2. Mechanical to Electrical Energy Conversion
• Power generation starts when the turbine blade movement powers up the generator to create electricity through alternative current (AC power).
3. Power Conversion for Utilization
• The generated electrical power automatically takes the form of alternating current (AC). When the system operates with a grid connection additional procedures unfold as follows:
• The DC voltage receives augmentation through boost converter operation. The process starts with converting DC power into AC through the use of an inverter unit.
• The AC power develops into higher transmission capabilities following a transformer operation that applies voltage step-up.
The system functions as standalone when it stores power that was transformed into DC for battery storage.
4. MPPT (Maximum Power Point Tracking) for Optimization
• Wind speed together with turbine characteristics variation disrupts the energy generation process.
• Wind energy systems reach maximum power extraction through MPPT controllers which automatically modify system parameters.
• Challenges in MPPT Implementation: Efficiency and accuracy optimization, System stability and cost Environmental factors affecting performance
5. AI and Hybrid MPPT Techniques
• Deep learning techniques of Artificial Intelligence (AI) now combine with recent research to boost MPPT performance efficiency in the field.
The precision of power tracking during MPPT procedures improves through AI-based techniques which forecast wind fluctuations then dynamically modify system operational parameters.
Flow Chart:
1. Wind Energy Capture:
The turbine blades receive flow from the wind direction. Wind kinetic energy transforms into mechanical energy when the turbine blades spin because of wind action.
2. Mechanical to Electrical Energy Conversion:
Electrical power at Alternating Current output is generated by the rotating generator blades.
3. Power Processing & Conversion:
DC power supply is required for battery storage through several procedures including rectification. The rectifier changes AC electrical power into DC for further processing. If the system is grid-connected: The boost converter elevates DC voltage output through its operation. The inverter makes possible the transformation from the DC power boost into AC output. A step-up transformer raises the electricity output intensity which grid operators require.
4. MPPT (Maximum Power Point Tracking) Optimization
The MPPT controller applies continuous modifications to operate according to changing requirements. Ensures maximum power extraction from wind energy under varying conditions. Deep learning models with artificial intelligence features enhance the accuracy of Maximum Power Point Tracking systems.
5. Final Power Output & Utilization
The power flow from DC to charge the battery storage systems uses Direct Current electricity. The grid receives power through an alternating current transmission for distribution purposes.
1. Scalability & Modularity
The system features modular configuration which enables users to easily shift implementation size from residential homes to industrial needs. A modular design provides this equipment with the capability to work efficiently with existing renewable energy structures and smart network systems.
2. Grid Independence & Hybrid Integration
Primary off-grid operation comes standard on the turbine and the addition of solar panels along with other renewable sources enables it to run in hybrid configuration thus ensuring permanent power output. The system serves rural areas and remote installations well because these areas have weak or unreliable power grid connections.
3. Enhanced Predictive Maintenance
The system incorporates AI diagnostics coupled with real-time sensors to execute equipment failure prediction prior to breakdowns. Such capabilities decrease operational interruptions while lowering maintenance expenses and improving complete operational productivity.
4. Environmental & Economic Benefits
The system achieves lower carbon emissions through its use of recyclable composite materials and decreased need for fossil fuel dependence. The combination of a long operational period and reduced upkeep costs transforms this renewable energy system into a financially beneficial solution.
NOVELTY:
1. Dual-Mode Blade System for Adaptive Performance
The turbine operates with blades built to pivot their shape and position because of changing wind patterns. The optimal aerodynamic performance enables energy gathering during low and turbulent wind conditions.
2. Active Airflow Control with Vortex Generators
Built-in vortex generators work together to manage air currents and increase the lift-to-drag performance through controlled turbulence reduction. The design delivers much higher power outputs than standard wind turbines since they experience efficiency decline in changing wind conditions.
3. Extended Wind Speed Operating Range
Traditional turbine technology operates effectively only within a restricted power speed band whereas this method extracts both sluggish wind velocity energy and stronger wind velocity energy. The active control system reduces turbine startup speeds while also protecting the infrastructure from strain during potent winds which extends the product life span.
4. Integrated Power Storage for Reduced Energy Loss
The integrated power storage technology maintains and preserves excess energy when the grid demand is low to minimize waste. The system enables uninterrupted power delivery during times of low wind speed because of its energy storage capability which upgrades the stability and reliability of the electrical grid.
5. Modular and Scalable Design for Versatile Applications
The system demonstrates modular characteristics and scalability so it works for multiple application needs: The system enables operation of extensive wind power generation installations that require maximum power output. The device functions well in confined residential properties as well as compact urban areas which demand sustainable power systems despite their compact dimensions. The product integrates seamlessly with smart grids and hybrid renewable generation systems thus providing a solution for upcoming energy needs.
6. Enhanced Grid Stability & Smart Energy Management
The system applies an intelligent energy management mechanism to spread power according to present demand requirements. Such control mechanisms eliminate power supply variations which allows the system to smoothly operate with modern power distribution systems beyond traditional wind power methods.
ADVANTAGES OF THE INVENTION
1. Wider Wind Speed Operating Range
• The dual-mode blade system and active airflow control system makes energy capturing possible across all regions of wind speed.
• Reduces cut-in speed, enabling power generation even in weak wind conditions.
2. Higher Energy Efficiency
• Vortex generators installed on blades create better aerodynamic conditions that decrease air turbulence and raise lift strength.
• The optimized air movements enable better energy conversion than wind turbines do under regular operating conditions.
3. Reduced Energy Loss & Improved Grid Stability
• The incorporated power storage system prevents wastage of surplus energy at times when demand is low.
• A uniform distribution of energy from these turbines supports efficient operation of power grids while reducing disturbances.
4. Modular & Scalable Design
• Suitable for both large-scale wind farms and small residential setups.
• Solar plus wind renewable energy combinations become easily expandable through integrated usage with this system.
5. Enhanced Durability & Longevity
• An active airflow control system functions to decreased structural tension in high wind conditions which extends turbine operational life.
• Smart adaptive system components decrease the amount of wear and tear that occurs.
6. Lower Maintenance Costs
• The smart blade positioning in combination with autonomous airflow controls decreases mechanical turbine strain that causes reduced maintenance needs.
• The system incorporates remote monitoring capabilities together with predictive maintenance tools which help technicians detect faults before they happen.
7. Eco-Friendly & Sustainable
• The technology generates power without greenhouses gases so it represents an environmentally sustainable choice.
• Uses recyclable materials where possible, reducing the environmental footprint.
8. Smart Energy Management
• The real-time vitality extraction is maximized by Artificial Intelligence based Maximum Power Point Tracking technology.
• Seamless integration with smart grids for demand-based energy distribution.
9. Cost-Effective in the Long Run
• Improved efficiency and durability lead to higher return on investment (ROI).
• Lower operational costs due to reduced maintenance and better energy management.
10. Resilience in Extreme Weather Conditions
• Adaptative blades within the unit enable the system to survive extreme wind conditions without sustaining any damage.
• Ensures continuous energy supply even in fluctuating wind conditions.
, Claims:1. An adaptive wind energy harvesting system for low to moderate wind conditions, comprising:
a wind turbine having a rotor hub and a plurality of blades configured to capture kinetic wind energy and convert it into mechanical energy;
a generator operatively connected to the rotor hub for converting the mechanical energy into electrical energy in the form of alternating current (AC);
a rectifier for converting the AC into direct current (DC);
a boost converter for increasing the DC voltage level;
an inverter for converting the boosted DC into AC suitable for transmission;
a step-up transformer for increasing AC voltage for grid supply;
a battery unit for storing DC electricity in standalone applications;
and a Maximum Power Point Tracking (MPPT) controller configured to dynamically adjust operational parameters based on wind speed and turbine characteristics to ensure optimal power extraction.
2. The system as claimed in claim 1, wherein the MPPT controller incorporates deep learning-based artificial intelligence models configured to predict wind fluctuations and dynamically adjust system control parameters to improve efficiency and accuracy in power tracking.
3. The system as claimed in claim 1, wherein the system is modular in structure, enabling scalable deployment ranging from residential installations to industrial-scale operations, and permitting integration with existing renewable energy networks and smart grid systems.
4. The system as claimed in claim 1, wherein the system further comprises hybrid integration capability with additional renewable sources such as solar panels, facilitating grid-independent operation in remote or off-grid areas.
5. The system as claimed in claim 1, wherein the system is equipped with AI-based predictive maintenance functionality using real-time sensors for early detection of equipment faults, thereby reducing downtime and maintenance costs.
| # | Name | Date |
|---|---|---|
| 1 | 202541053283-STATEMENT OF UNDERTAKING (FORM 3) [02-06-2025(online)].pdf | 2025-06-02 |
| 2 | 202541053283-REQUEST FOR EARLY PUBLICATION(FORM-9) [02-06-2025(online)].pdf | 2025-06-02 |
| 3 | 202541053283-POWER OF AUTHORITY [02-06-2025(online)].pdf | 2025-06-02 |
| 4 | 202541053283-FORM-9 [02-06-2025(online)].pdf | 2025-06-02 |
| 5 | 202541053283-FORM FOR SMALL ENTITY(FORM-28) [02-06-2025(online)].pdf | 2025-06-02 |
| 6 | 202541053283-FORM 1 [02-06-2025(online)].pdf | 2025-06-02 |
| 7 | 202541053283-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [02-06-2025(online)].pdf | 2025-06-02 |
| 8 | 202541053283-EVIDENCE FOR REGISTRATION UNDER SSI [02-06-2025(online)].pdf | 2025-06-02 |
| 9 | 202541053283-EDUCATIONAL INSTITUTION(S) [02-06-2025(online)].pdf | 2025-06-02 |
| 10 | 202541053283-DECLARATION OF INVENTORSHIP (FORM 5) [02-06-2025(online)].pdf | 2025-06-02 |
| 11 | 202541053283-COMPLETE SPECIFICATION [02-06-2025(online)].pdf | 2025-06-02 |