SYSTEM AND METHOD FOR EXTRACTING WATER FROM ATMOSPHERIC AIR BY OPTIMIZING AIRFLOW IN REAL-TIME

Abstract

The present disclosure relates to a system (102) for extracting water from atmospheric air that optimizes airflow through several components. The system (102) features sensors (108) integrated into air ducts (110) to monitor real-time environmental parameters such as temperature, humidity, wind patterns, and solar radiation. The air filtration unit (114) purifies incoming air, while a condensation chamber (118) equipped with hybrid phase change material (PCM) and radiative cooling surfaces condense the water vapour. Condensed water is collected in collection unit (120), and the system (102) is powered by a hybrid renewable energy unit (124). The system (102) includes control unit (104) that receives real-time data from sensors (108) and uses artificial intelligence model to analyze environmental conditions. Based on this data, the system (102) predicts wind patterns and adjusts position and orientation of the air ducts (110) to direct airflow optimally into the condensation chamber (118), enhancing water extraction efficiency

Specification

Description:TECHNICAL FIELD
[0001] The present disclosure relates to a field of atmospheric water generation (AWG) systems, specifically focusing on integrating advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and renewable energy systems to enhance water extraction from atmospheric air. It also encompasses areas related to air filtration, energy management, and environmental adaptability.

BACKGROUND
[0002] The following description of the related art is intended to provide background information pertaining to the field of the present disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art.
[0003] Atmospheric water generation (AWG) relies on various methods to extract moisture from humid air, each of which has inherent limitations. Traditional AWGs primarily employ condensation techniques, which include chilling air to its dew point, utilizing desiccants for moisture collection, and employing membrane-based extraction. However, these methods often entail significant energy consumption due to the continuous operation of cooling systems and compressors, leading to concerns about sustainability and efficiency.
[0004] One of the notable challenges with conventional AWGs is their effectiveness, particularly in low-humidity environments, where water extraction becomes increasingly difficult. Additionally, the air filtration systems used in these technologies, typically incorporating activated HEPA filters, are designed to remove particles, contaminants, and microorganisms. While effective, these filtration systems require regular maintenance and frequent filter replacements to function optimally. Advanced filtering techniques, such as UV sterilization and electrostatic precipitation, further complicate the issue by consuming substantial amounts of energy and facing difficulties in efficiently capturing ultrafine particles and certain microorganisms.
[0005] Moreover, traditional condensation chambers in AWGs depend on cooling surfaces for water vapour condensation. This reliance often results in high energy usage and low efficiency due to the lack of sophisticated cooling methods and the absence of dynamic adjustment capabilities to respond to fluctuating environmental conditions. As a result, the current systems for producing atmospheric water encounter significant obstacles related to energy consumption, effectiveness, air quality preservation, and scalability. These challenges underscore the urgent need for innovative solutions that can overcome the limitations of existing AWG technologies. Addressing these issues is essential for enhancing energy efficiency, improving overall system effectiveness, preserving air quality, and enabling large-scale water production.
[0006] There is, therefore, a need in the art to provide a system and method that can overcome the shortcomings of the existing prior arts.

OBJECTS OF THE PRESENT DISCLOSURE
[0007] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0008] It is an object of the present disclosure to provide a system and method for extracting water from atmospheric air by optimizing airflow in real-time.
[0009] It is another object of the present disclosure to provide a system and method for extracting water from atmospheric air by optimizing airflow in real-time, which dynamically adjusts air ducts based on real-time wind patterns, optimizing airflow and increasing water generation efficiency.
[00010] It is another object of the present disclosure to provide a system and method for extracting water from atmospheric air by optimizing airflow in real-time, which implements advanced filtration systems with electrostatic and biocidal coatings to effectively capture and neutralize pollutants and microorganisms, and ensures high-quality water production.
[00011] It is another object of the present disclosure to provide a system and method for extracting water from atmospheric air by optimizing airflow in real-time, which integrates a hybrid system combining phase change materials (PCM) and radiative cooling to enhance water condensation efficiency while reducing energy consumption.

SUMMARY
[00012] This summary is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[00013] An aspect of the present disclosure relates to a system for extracting water from atmospheric air by optimizing airflow. The system can include sensors integrated into one or more air ducts, where the sensors can monitor and detect real-time parameters of an environment, the real-time parameters can include temperature, humidity, wind patterns, and solar radiation. The system can include an air filtration unit configured to purify atmospheric air, a condensation chamber with a hybrid phase change material (PCM) and radiative cooling surfaces, a water collection unit, a hybrid renewable energy unit, a control unit, and a memory coupled to the control unit, said memory having instructions executable by the control unit can receive real-time data from the sensors and analyse the real-time data using an artificial intelligence model, the real-time data pertains to the real-time parameters of the environment. The control unit can identify wind conditions and predict environmental conditions based on real-time data using the artificial intelligence model. The control unit can adjust the position and orientation of the air ducts to direct the airflow of the atmospheric air into the condensation chamber based on the identified wind conditions to extract water from the atmospheric air.
[00014] In an aspect, a method for extracting water from atmospheric air by optimizing airflow. The method includes the steps of monitoring and detecting real-time parameters of an environment by sensors, the real-time parameters can include temperature, humidity, wind patterns, and solar radiation. The method includes the steps of receiving real-time data by a control unit from the sensors and analysing the real-time data using an artificial intelligence model, the real-time data pertains to the real-time parameters of the environment. The method includes the steps of identifying wind conditions and predicting environmental conditions by the control unit based on real-time data using the artificial intelligence model. The method includes the steps of adjusting the position and orientation of one or more air ducts by the control unit to direct airflow of the atmospheric air into the condensation chamber based on the identified wind conditions. The method includes the steps of extracting water from the atmospheric air based on the optimised airflow into the condensation chamber.
[00015] Various objects, features, aspects, and advantages of the present disclosure will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which numerals represent like features.
[00016] Within the scope of this application, it is expressly envisaged that the various aspects, embodiments, examples, and alternatives set out in the preceding paragraphs, in the claims and/or in the following description and drawings, and in particular the individual features thereof, may be taken independently or in any combination. Features described in connection with one embodiment are applicable to all embodiments, unless such features are incompatible.

BRIEF DESCRIPTION OF THE DRAWINGS
[00017] In the figures, similar components and/or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description is applicable to any one of the similar components having the same first reference label irrespective of the second reference label.
[00018] FIG. 1 illustrates an exemplary representation of the proposed system for extracting water from atmospheric air by optimizing airflow, by an embodiment of the present disclosure.
[00019] FIG. 2 illustrates a flow diagram illustrating a method for extracting water from atmospheric air by optimizing airflow, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[00020] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered 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.
[00021] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[00022] An aspect of the present disclosure relates to a system for extracting water from atmospheric air by optimizing airflow. The system can include a plurality of sensors integrated into one or more air ducts. The plurality of sensors can be configured to monitor and detect a plurality of real-time parameters of an environment, where the plurality of real-time parameters can include temperature, humidity, wind patterns, and solar radiation. The system can include an air filtration unit configured to purify atmospheric air, a condensation chamber with a hybrid phase change material (PCM) and radiative cooling surfaces, a water collection unit, a hybrid renewable energy unit, a control unit, and a memory coupled to the control unit, said memory having instructions executable by the control unit to receive real-time data from the plurality of sensors and analyse the real-time data using an artificial intelligence model, where the real-time data pertains to the plurality of real-time parameters of the environment. The control unit can be configured to identify wind conditions and predict environmental conditions based on the real-time data using the artificial intelligence model, where the control unit can be configured to adjust the position and orientation of the one or more air ducts to direct airflow of the atmospheric air into the condensation chamber based on the identified wind conditions to extract water from the atmospheric air.
[00023] FIG. 1 illustrates an exemplary representation (100) of the proposed system for extracting water from atmospheric air by optimizing airflow, in accordance with an embodiment of the present disclosure.
[00024] In an embodiment, referring to FIG. 1, the exemplary representation (100) can include the system (102) that pertains to an atmospheric water generation (AWG) system. The system (102) can be positioned in a plurality of environments, each offering unique benefits and challenges. For instance, in urban areas, the system (102) may be configured to provide a supplementary water source, utilizing the high humidity typically found in cities due to human activity. In rural communities, especially those without reliable access to clean water, the system (102) may serve as a critical water supply solution, reducing dependence on traditional water sources. Coastal regions, with their elevated humidity levels, are ideal for AWG deployment, as the proximity to the ocean contributes to ambient moisture, enhancing water extraction efficiency. In desert regions, the system (102) provides a crucial source of potable water where conventional supplies are scarce in arid conditions. Industrial sites with humidity-producing processes, such as food processing or cooling systems, can also benefit from AWG, capturing excess moisture and converting it into usable water, thereby supporting water recycling efforts. Furthermore, the AWG system (102) is valuable in military and disaster relief operations, offering a reliable water source in remote bases or areas affected by crises. In agricultural areas, the system (102) can assist in providing irrigation water or drinking water for livestock, enhancing sustainability in farming practices. Further, the AWG system (102) can be deployed in remote and off-grid locations where traditional water infrastructure is lacking, offering a self-sufficient solution to meet local water needs. The system (102) can be configured to extract water from atmospheric air by utilizing the Internet of Things (IoT) and artificial intelligence (AI) technologies to maximize efficiency and sustainability.
[00025] In an embodiment, the system (102) can include a control unit (104), a memory (106), a plurality of sensors (108), a plurality of air ducts (110), an air filtration unit (114), a condensation chamber (118), a water collection unit (120), and a hybrid renewable energy unit (124). The plurality of sensors (108) can include a plurality of temperature sensors (108-1), a plurality of humidity sensors (108-2), a plurality of ultrasonic sensors (108-3), a plurality of photodiode sensors (108-4), a plurality of flow sensors (108-5), and a plurality of water level sensors (108-6). The plurality of air ducts (110) may be electrically coupled with a plurality of actuators (112) through a motor (130). The control unit (104) can be configured to control the plurality of actuators powered by the motor (130), which adjusts the positions of the plurality of air ducts (110) accordingly. The air filtration unit (114) can include one or more filters (116). The condensation chamber (118) can include a hybrid phase change material (PCM) and radiative cooling surfaces. The water collection unit (120) can include a plurality of collection surfaces (122). The hybrid renewable energy unit (124) may be associated with an Internet of Things (IoT) )-enabled energy storage system (126). The hybrid renewable energy unit (124) may include renewable energy sources (126) such as wind turbines, solar panels, and a small hydroelectric generator.
[00026] In an embodiment, the control unit (104) may be implemented as one or more processors, one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other capabilities, the control unit (104) may be configured to fetch and execute computer-readable instructions stored in the memory (106) of the system (102). The memory (106) may be configured to store one or more computer-readable instructions or routines in a non-transitory computer-readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory (106) may include any non-transitory storage device including, for example, volatile memory such as Random Access Memory (RAM), or non-volatile memory such as Erasable Programmable Read-Only Memory (EPROM), flash memory, and the like.
[00027] In an embodiment, the system (102) can include a plurality of sensors (108) that can be configured to monitor and detect a plurality of real-time parameters of the environment. The plurality of real-time parameters can include temperature, humidity, wind patterns, and solar radiation. The system (102) can include the control unit (104), and the memory (106) coupled to the control unit (104), said memory (106) having instructions executable by the control unit (104) to receive the real-time data from the plurality of sensors (108) and analyse the real-time data using an artificial intelligence model. The real-time data pertains to the plurality of real-time parameters of the environment.
[00028] In an embodiment, the plurality of sensors (108) can include the plurality of temperature sensors (108-1) that can be configured to measure the ambient temperature of the environment. The plurality of temperature sensors (108-1) can be configured to optimize condensation processes by monitoring temperature changes. The plurality of humidity sensors (108-2) can be configured to measure the amount of moisture in the air. The plurality of Humidity sensors (108-2) is essential for assessing air quality and determining the efficiency of water extraction from the atmosphere. In AWGs, The plurality of Humidity sensors (108-2) help optimize the condensation process by ensuring that conditions are suitable for water generation. The plurality of ultrasonic sensors (108-3) can be configured to emit high-frequency sound waves to monitor water levels or detect the presence of obstacles in airflow paths. The plurality of ultrasonic sensors (108-3) can be configured to measure airflow patterns and optimize the positioning of air ducts. The plurality of photodiode sensors (108-4) may be configured to detect light levels and convert light energy into electrical signals. They are used in systems to monitor ambient light conditions and adjust operations accordingly, such as optimizing solar energy utilization in hybrid systems or controlling artificial lighting based on daylight availability. The plurality of flow sensors (108-5) can be configured to measure the rate of fluid flow within the system. The plurality of flow sensors (108-5) can be configured to monitor water flow rates, ensuring that the water extraction and distribution processes are efficient. The plurality of flow sensors (108-5) can be configured to optimize system performance by providing water level data that can be used to adjust pump operations and other fluid management strategies. The plurality of Water level sensors (108-6) can be configured to monitor the height of water in storage tanks or reservoirs. The plurality of water level sensors (108-6) are crucial for managing water storage, ensuring that tanks do not overflow or run dry. The plurality of water level sensors (108-6) may facilitate to maintenance of optimal water levels for both collection and distribution, contributing to system efficiency and reliability.
[00029] In an embodiment, the control unit (104) can be configured to identify wind conditions and predict environmental conditions based on real-time data using the artificial intelligence model. The control unit (104) can be configured to adjust the position and orientation of the one or more air ducts (110) to direct airflow of the atmospheric air into the condensation chamber (118) based on the identified wind conditions to extract water from the atmospheric air. The dynamic adjustment of the one or more air ducts (110) may enable the system (102) to optimize the airflow and volume of air processed based on prevailing wind conditions, significantly increasing the efficiency of water generation
[00030] In an embodiment, the air filtration unit (114) can include the one or more filters (116) with electrostatic charge and biocidal coatings to remove pollutants and microorganisms from the atmospheric air before entering into the condensation chamber (118) and ensure that the water produced is of higher quality and safer for consumption.
[00031] In an embodiment, the condensation chamber (118) featuring the hybrid phase change material (PCM) and the radiative cooling surfaces, where the PCM stores thermal energy during the day and releases the thermal energy during cooler periods, facilitating continuous water condensation, where the radiative cooling surfaces can be configured to enhance the condensation process by utilizing the natural cooling effect of the night sky, thereby boosting the PCM efficiency during the day. The plurality of sensors (106) can be configured to monitor external temperature and radiation levels, allowing the system (102) to dynamically adjust the PCM and radiative cooling mechanisms for optimizing the condensation process for maximal water yield. The dynamic adjustment of the PCM and radiative cooling mechanisms reduces the energy consumption associated with traditional cooling methods and increases overall efficiency.
[00032] In an embodiment, the water collection unit (120) can include the collection surfaces (122-1) with a plurality of hydrophilic layers designed to funnel water droplets into collection channels (122-2), the water collection unit (120) integrated with the plurality of sensors (108) can be configured to monitor water flow from the collection surfaces (122-1) and control the water flow to storage tanks to prevent overflow and optimize collection rates.
[00033] In an embodiment, the hybrid renewable energy unit can include renewable energy sources (126) such as wind turbines, solar panels, and a hydroelectric generator, with an IoT-enabled energy management system (128) that balances and optimizes energy use across all energy sources by tracking energy production, consumption, and storage energy production, consumption, and storage levels using the plurality of sensors (108). The plurality of sensors (108) can be configured to track the energy production, consumption, and storage levels in real-time and transfer the energy production, consumption, and storage levels data to the control unit (104), the control unit (104) can be configured to enable the IoT-enabled energy management system (126) to balance the energy load across the hybrid renewable energy unit (124), and prioritize energy sources based on their availability and efficiency, and make real-time adjustments to optimize energy consumption. The control unit (104) integrates AI-enhanced environmental analysis to improve system adaptability. AI models analyse the real-time data from IoT sensors (108) to predict environmental changes and adjust system operations pre-emptively. This adaptive feature ensures the system (102) can respond to varying climate conditions, optimizing performance and efficiency continuously. A feedback loop uses system data to refine and improve operations, incorporating lessons learned and user feedback into future iterations.
[00034] The control unit (104) may be an artificial intelligence-powered control unit which can be configured to analyze the real-time data from the plurality of sensors (108) to predict the environmental conditions and adjust one or more operations of the system (102) for optimal performance and efficiency, where the one or more operations can include dynamically allocating energy sources, balancing energy loads across devices to prevent overloading and ensure efficient use of resources, managing energy storage by controlling battery charging and discharging, storing excess energy during high production and using it during low production periods, adjusting temperature and climate controls to maintain ideal indoor environments, regulating water flow based on the real-time parameters, where the environmental conditions pertain to temperature, humidity, and wind patterns.
[00035] FIG. 2 illustrates a flow diagram illustrating a method for extracting water from atmospheric air by optimizing airflow, in accordance with an embodiment of the present disclosure.
[00036] As illustrated, method (200) includes, at block (202), monitoring and detecting a plurality of real-time parameters of an environment by a plurality of sensors, where the plurality of real-time parameters can include temperature, humidity, wind patterns, and solar radiation
[00037] Continuing further, method (200) includes, at block (204), receiving real-time data by a control unit from the plurality of sensors and analysing the real-time data using an artificial intelligence model, where the real-time data pertains to the plurality of real-time parameters of the environment.
[00038] Continuing further, method (200) includes, at block (206), identifying wind conditions and predicting environmental conditions by the control unit based on the real-time data using the artificial intelligence model.
[00039] Continuing further, method (200) includes, at block (208), adjusting the position and orientation of the one or more air ducts by the control unit to direct airflow of the atmospheric air into the condensation chamber based on the identified wind conditions.
[00040] Continuing further, method (200) includes, at block (210), extracting water from the atmospheric air based on the optimised airflow into the condensation chamber.
[00041] In an embodiment, the system (102) incorporates IoT sensors (108) strategically placed around the air intake points to continuously detect real-time wind patterns, including direction, speed, and variability. The sensors (108) transmit this data to a central processing unit (104) equipped with artificial intelligence model algorithms to analyze and determine the optimal positioning for the air ducts (110). The control unit (104) can be represented as the central processing unit (104) in the following description. Actuators (112), driven by motors (130) and controlled by the central processing unit (104), then adjust the position of the air ducts (110) accordingly. The air ducts (110) are constructed from lightweight yet durable materials, allowing for easy movement and resilience against environmental conditions. By dynamically aligning with the direction of optimal wind flow, the system (102) maximizes the volume of air processed, enhancing water generation efficiency and reducing energy consumption.
[00042] In an embodiment, the air filtration unit (114) in the system (102) is meticulously designed to purify the air before it enters the condensation chamber (118), ensuring high-quality water generation. The system (102) utilizes the filters (116) imbued with electrostatic charge to attract and trap fine airborne particles, effectively capturing dust, pollen, and other pollutants. Additionally, these filters (116) are coated with biocidal agents that neutralize microorganisms, including bacteria and viruses, thus preventing contamination of the condensation chamber (118). The dual-action filtration mechanism not only improves the overall air quality but also ensures that the water produced is free from harmful contaminants. This advanced filtration unit (114) surpasses conventional methods by providing a comprehensive solution to air purification, ensuring safer and cleaner water generation.
[00043] In an embodiment, the system's sensors can be capable of detecting wind speeds ranging from 0.1 to 50 meters per second (m/s), while the actuators must respond to wind pattern changes within 0.1 to 5 seconds. To optimize airflow, the air ducts should be adjustable within a range of 0 to 180 degrees. Filters within the system should generate electrostatic charges between 1,000 and 10,000 volts, and the biocidal coatings should demonstrate an efficacy rate of 90% to 99.999% against common airborne microorganisms. The filters need to have pore sizes between 0.1 and 5 micrometres (µm) to effectively trap pollutants. Additionally, the phase change materials should operate efficiently within a temperature range of -10 to 50 degrees Celsius (°C), and the radiative cooling surfaces should achieve an emissivity of 0.8 to 0.95. Sensors should monitor environmental temperatures from -20 to 60°C and radiation levels between 0 and 1,000 watts per square meter (W/m²). The hydrophilic layers used in the system should have thicknesses ranging from 0.1 to 5 millimetres (mm), and the sensors should detect water flow rates from 0.01 to 10 litres per minute (L/min). These specifications are designed to ensure the system's effectiveness and adaptability across a wide range of operating conditions, maximizing its performance and efficiency in different environments.
[00044] If the specification states a component or feature "may", "can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[00045] As used in the description herein and throughout the claims that follow, the meaning of "a," "an," and "the" includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise.
[00046] Moreover, in interpreting the specification, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms "comprises" and "comprising" should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refer to at least one of something selected from the group consisting of A, B, C ….and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[00047] While the foregoing describes various embodiments of the proposed disclosure, other and further embodiments of the proposed disclosure may be devised without departing from the basic scope thereof. The scope of the proposed disclosure is determined by the claims that follow. The proposed disclosure is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE
[00048] The present disclosure provides a system and method for extracting water from atmospheric air by optimizing airflow.
[00049] The present disclosure provides a system and method that facilitates a water collection system with hydrophilic layers and IoT sensors to prevent overflow and optimize collection rates, improving overall water harvesting efficiency.
[00050] The present disclosure provides a system and method that facilitates a hybrid renewable energy system, managed by an IoT-enabled energy management system, to balance and optimize energy use across multiple sources, enhancing system resilience and sustainability
The present disclosure provides a system and method that utilizes artificial intelligence models to analyze environmental data, predict changes, and adjust system operations preemptively, ensuring continuous optimization and efficiency in varying climate conditions.
, Claims:1. A system for extracting water from atmospheric air by optimizing airflow, the system (102) comprising:
a plurality of sensors (108) integrated into one or more air ducts (110), wherein the plurality of sensors (108) configured to monitor and detect a plurality of real-time parameters of an environment, wherein the plurality of real-time parameters comprising temperature, humidity, wind patterns, and solar radiation;
an air filtration unit (114) configured to purify atmospheric air;
a condensation chamber (118) with a hybrid phase change material (PCM) and radiative cooling surfaces;
a water collection unit (120);
a hybrid renewable energy unit (124);
a control unit (104); and
a memory (106) coupled to the control unit (104), said memory (106) having instructions executable by the control unit (104) to:
receive real-time data from the plurality of sensors (108) and analyse real-time data using an artificial intelligence model, wherein the real-time data pertains to the plurality of real-time parameters;
identify wind conditions and predict environmental conditions based on the real-time data using the artificial intelligence model; and
adjust the position and orientation of the one or more air ducts (110) to direct airflow of the atmospheric air into the condensation chamber (118) based on the identified wind conditions to extract water from the atmospheric air.

2. The system as claimed in claim 1, wherein the air filtration unit (114) comprising one or more filters (116) with electrostatic charge and biocidal coatings to remove pollutants and microorganisms from the atmospheric air before entering into the condensation chamber (118).

3. The system as claimed in claim 1, wherein the condensation chamber (118) with the hybrid phase change material (PCM) and the radiative cooling surfaces,
wherein the PCM stores thermal energy during the day and releases the thermal energy during cooler periods, facilitating continuous water condensation,
wherein the radiative cooling surfaces are configured to enhance the condensation process by utilizing the natural cooling effect of the night sky, thereby boosting the PCM efficiency during the day.

4. The system as claimed in claim 1, wherein the plurality of sensors (108) are embedded within the condensation chamber (118) to monitor external temperature and radiation levels in real-time,
wherein the external temperature and radiation levels data allow the system to dynamically adjust the PCM and radiative cooling mechanisms, optimizing the condensation process for maximal water yield.

5. The system as claimed in claim 1, wherein the water collection unit (120) comprising collection surfaces (122-1) with a plurality of hydrophilic layers designed to funnel water droplets into collection channels (122-2),
wherein the water collection unit (120) integrated with the plurality of sensors (108) to monitor water flow from the collection surfaces (122-1) and control the water flow to storage tanks to prevent overflow and optimize collection rates.

6. The system as claimed in claim 1, wherein the hybrid renewable energy unit (124) comprising renewable energy sources (126) with an IoT-enabled energy management system (128) that balances and optimizes energy use across all energy sources,
wherein the renewable energy sources (126) comprising wind turbines, solar panels, and a hydroelectric generator.

7. The system as claimed in claim 1, wherein the plurality of sensors (108) are IoT (Internet of things) based sensors configured to track the energy production, consumption, and storage levels in real-time and transfer to the control unit (104),
wherein the control unit (104) configured to enable the IoT-enabled energy management system (128) to balance the energy load across the hybrid renewable energy unit (126), and prioritize energy sources based on their availability and efficiency, and make real-time adjustments to optimize energy consumption.

8. The system as claimed in claim 1, wherein the plurality of sensors (108) comprising a plurality of temperature sensors (108-1), a plurality of humidity sensors (108-2), a plurality of ultrasonic sensors (108-3), a plurality of photodiode sensors (108-4), a plurality of flow sensors (108-5), and a plurality of water level sensors (108-6).

9. The system as claimed in claim 1, wherein the control unit (104) is an artificial intelligence-powered control unit configured to analyze the real-time data from the plurality of sensors (108) to predict the environmental conditions and adjust one or more operations of the system (102) for optimal performance and efficiency,
wherein the one or more operations comprising dynamically allocating energy sources, balancing energy loads across devices to prevent overloading and ensure efficient use of resources, managing energy storage by controlling battery charging and discharging, storing excess energy during high production and using it during low production periods, adjusting temperature and climate controls to maintain ideal indoor environments, regulating water flow based on the real-time parameters,
wherein the environmental conditions pertain to temperature, humidity, and wind patterns.

10. A method for extracting water from atmospheric air by optimizing airflow, the method comprising:
monitoring and detecting a plurality of real-time parameters of an environment by a plurality of sensors (108), wherein the plurality of real-time parameters comprising temperature, humidity, wind patterns, and solar radiation;
receiving real-time data by a control unit (104) from the plurality of sensors (108) and analysing the real-time data using an artificial intelligence model, wherein the real-time data pertains to the plurality of real-time parameters of the environment;
identifying wind conditions and predicting environmental conditions by the control unit (104) based on the real-time data using the artificial intelligence model;
adjusting position and orientation of the one or more air ducts (110) by the control unit (104) to direct airflow of the atmospheric air into the condensation chamber (118) based on the identified wind conditions; and
extracting water from the atmospheric air based on the optimised airflow into the condensation chamber (118).

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