1. A system for sunlight-optimized window placement in structures, comprising: a geolocation module designed to determine the exact geographical positioning and orientation of a structure; a solar trajectory calculator accessing real-time and historical sun path data for the identified location; a structural design interface that digitally represents the structure's layout; and an optimization engine that utilizes data from the geolocation module and solar trajectory calculator to recommend optimal window placements within the structural design interface.

2. The system of claim 1, wherein the geolocation module includes GPS integration for real-time position determination.

3. The system of claim 1, wherein the solar trajectory calculator taps into a global solar incidence database to refine sun path predictions for the selected location.

4. The system of claim 1, wherein the structural design interface offers 3D visualizations of the structure, dynamically updating as the optimization engine suggests window placements.

5. The system of claim 1, further comprising an environmental comfort predictor, using the optimized window placements to estimate indoor temperature variations and lighting levels based on expected sunlight ingress.

6. A method for determining sunlight-optimized window placements in structures, comprising the steps of: pinpointing the geographical positioning and orientation of a structure using a geolocation module; calculating the sun's trajectory for the identified location using historical and real-time data; representing the structure digitally within a structural design interface; and utilizing an optimization engine to suggest optimal window placements based on the data from the geolocation module and solar trajectory calculations.

7. The method of claim 6, further involving obtaining real-time GPS coordinates to refine the structure's position determination.

8. The method of claim 6, tapping into a global solar incidence database to enhance the accuracy of sun path predictions for the structure's location.

9. The method of claim 6, visualizing window placement suggestions within a 3D model of the structure, dynamically adjusting based on recommendations from the optimization engine.

10. The method of claim 6, further estimating indoor temperature and lighting levels based on the optimized window placements, using an environmental comfort predictor module. SUNLIGHT OPTIMIZED WINDOW PLACEMENT METHOD Abstract Presented is a system tailored for the optimal placement of windows in structures to harness sunlight efficiently. The system incorporates a geolocation module that pinpoints the precise geographical location and orientation of a given structure. Working in tandem, a solar trajectory calculator leverages both real-time and historical sun path data pertinent to the identified locale. Within a structural design interface, the structure's layout is digitally portrayed, allowing for seamless adjustments and design modifications. Central to the system, an optimization engine processes insights from the geolocation module and solar trajectory calculator, subsequently guiding the user to strategically place windows within the structural design interface. This ensures a harmonious balance between architectural aesthetics and energy-efficient sunlight utilization. , Claims:Claims :

1. A system for sunlight-optimized window placement in structures, comprising: a geolocation module designed to determine the exact geographical positioning and orientation of a structure; a solar trajectory calculator accessing real-time and historical sun path data for the identified location; a structural design interface that digitally represents the structure's layout; and an optimization engine that utilizes data from the geolocation module and solar trajectory calculator to recommend optimal window placements within the structural design interface.

2. The system of claim 1, wherein the geolocation module includes GPS integration for real-time position determination.

3. The system of claim 1, wherein the solar trajectory calculator taps into a global solar incidence database to refine sun path predictions for the selected location.

4. The system of claim 1, wherein the structural design interface offers 3D visualizations of the structure, dynamically updating as the optimization engine suggests window placements.

5. The system of claim 1, further comprising an environmental comfort predictor, using the optimized window placements to estimate indoor temperature variations and lighting levels based on expected sunlight ingress.

6. A method for determining sunlight-optimized window placements in structures, comprising the steps of: pinpointing the geographical positioning and orientation of a structure using a geolocation module; calculating the sun's trajectory for the identified location using historical and real-time data; representing the structure digitally within a structural design interface; and utilizing an optimization engine to suggest optimal window placements based on the data from the geolocation module and solar trajectory calculations.

7. The method of claim 6, further involving obtaining real-time GPS coordinates to refine the structure's position determination.

8. The method of claim 6, tapping into a global solar incidence database to enhance the accuracy of sun path predictions for the structure's location.

9. The method of claim 6, visualizing window placement suggestions within a 3D model of the structure, dynamically adjusting based on recommendations from the optimization engine.

10. The method of claim 6, further estimating indoor temperature and lighting levels based on the optimized window placements, using an environmental comfort predictor module.

Description:SUNLIGHT OPTIMIZED WINDOW PLACEMENT METHOD
Field of the Invention
[0001] The present invention resides in the domain of architectural design and building science. More particularly, the invention pertains to a methodology for determining the optimal placement of windows in architectural structures to maximize natural sunlight penetration. Leveraging cutting-edge computational analysis, solar path tracking, and building orientation considerations, this inventive method facilitates the precise positioning of windows within a building's layout to ensure optimal utilization of natural light throughout the day. The resulting designs contribute to enhanced energy efficiency, occupant comfort, and sustainable architectural solutions.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Sunlight is a critical element in architectural design, influencing both aesthetics and energy performance. Optimizing window placement to harness natural sunlight offers numerous benefits, including enhanced daylighting, reduced energy consumption, and improved occupant comfort. Architects and designers are increasingly focusing on methods that strategically position windows to maximize sunlight penetration while minimizing heat gain and glare. This approach, known as sunlight optimized window placement, has gained traction as a vital aspect of sustainable building design.
[0004] The traditional approach to window placement often centered on aesthetics and views, with less consideration given to sunlight's dynamic effects on indoor spaces. As concerns about energy efficiency and indoor quality grew, architects began integrating scientific methods and computational tools into the design process to achieve optimal sunlight utilization. Sunlight optimized window placement seeks to strike a balance between solar access, lighting quality, thermal comfort, and energy savings.
[0005] Advanced simulation software, such as Radiance and DIVA, enables architects to assess the impact of window placement on daylight availability throughout the day and across seasons. These tools use ray tracing algorithms to model sunlight penetration, helping designers visualize how varying window positions affect indoor lighting levels. The Seattle Central Library's design by OMA and LMN Architects utilized daylighting simulations to determine optimal window sizes and placements, resulting in well-lit interior spaces and reduced reliance on artificial lighting.
[0006] Architects and researchers are employing climate analysis tools to evaluate solar exposure and sunlight patterns at specific locations. By understanding how the sun's path varies with geographical and climatic factors, designers can strategically position windows to balance sunlight access with solar heat gain. The Eindhoven University of Technology's "Solar Atlas" software provides insights into solar radiation patterns, helping architects optimize window orientation and placement for optimal daylighting and energy performance.
[0007] Parametric design platforms like Grasshopper empower architects to create generative models that adjust window placement based on sunlight analysis. These algorithms explore various design iterations, evaluating factors like solar exposure, glare, and energy efficiency. The Harvard HouseZero project employed parametric design to optimize window positioning, maximizing natural daylight while minimizing solar heat gain and glare.
[0008] Systems use sensors and actuators to dynamically adjust window properties in response to changing sunlight conditions. Electrochromic and thermochromic glass, for example, can modulate transparency to optimize daylight while mitigating overheating. The Bahrain World Trade Center features wind turbine-integrated façades that rotate to track the sun's path, harnessing wind energy while optimizing daylight and shading.
[0009] Traditional architectural practices, like those found in vernacular designs, have long incorporated sun studies to optimize window placement. Ancient buildings often aligned openings with the sun's path during different seasons to achieve optimal lighting and thermal comfort. For example, the Sun Temple at Konark, India, constructed in the 13th century, features precise window placements that allow sunlight to create intricate patterns within the temple.
[00010] In conclusion, sunlight optimized window placement is a dynamic approach to architectural design that seamlessly blends aesthetics with energy efficiency and occupant comfort. By leveraging daylighting simulations, solar exposure analysis, parametric design, responsive façade systems, and lessons from traditional architecture, architects can create buildings that harness the benefits of natural sunlight while minimizing its drawbacks. This approach showcases the potential of architecture to integrate scientific insights and computational tools to create sustainable, well-lit, and comfortable indoor environments.
[00011]
[00012] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
[00013] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
Summary
[00014] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00015] The present invention resides in the domain of architectural design and building science. More particularly, the invention pertains to a methodology for determining the optimal placement of windows in architectural structures to maximize natural sunlight penetration. Leveraging cutting-edge computational analysis, solar path tracking, and building orientation considerations, this inventive method facilitates the precise positioning of windows within a building's layout to ensure optimal utilization of natural light throughout the day. The resulting designs contribute to enhanced energy efficiency, occupant comfort, and sustainable architectural solutions.
[00016]
[00017] Described herein a system for sunlight-optimized window placement emerges as a groundbreaking solution, bridging architectural vision and solar precision to redefine how structures interact with natural light. This system presents an architectural shift that revolutionizes the art of window placement, intricately harmonizing design and functionality to usher in a new era of light-infused spaces.
[00018] At its core, the system orchestrates precision through its geolocation module. This module operates as a navigational beacon, determining the precise geographical positioning and orientation of a structure. For real-time accuracy, the system integrates GPS technology, ensuring that the structure's alignment is a testament to precision.
[00019] Solar dynamics come into play through the solar trajectory calculator. This calculator is the bridge between architectural form and solar function, accessing real-time and historical sun path data for the structure's location. To refine its insights, the calculator draws upon a global solar incidence database, fine-tuning sun path predictions that guide window placement.
[00020] Architectural vision takes a digital form through the structural design interface. This interface represents the structure's layout in a virtual realm. A modern-day canvas, it becomes the architect's playground for strategic window placement.
[00021] The heart of the system's transformative prowess is the optimization engine. This engine functions as a virtuoso conductor, seamlessly weaving data from the geolocation module and solar trajectory calculator. The outcome is a symphony of recommendations that optimize window placements within the structural design interface.
[00022] The system doesn't stop at calculations; it invites immersion. The structural design interface isn't a static canvas but a dynamic realm of 3D visualizations. As the optimization engine orchestrates window placements, the interface morphs in real-time, offering architects a tangible preview of the optimized design.
[00023] Functionality blooms further through the environmental comfort predictor. This component leverages the optimized window placements as keystones to estimate indoor temperature variations and lighting levels. By factoring in expected sunlight ingress, the system provides a glimpse into the comfort and ambiance that the optimized design promises to deliver.
[00024] In essence, the system for sunlight-optimized window placement transcends architectural norms. By harmonizing geolocation accuracy, solar precision, digital design, optimization orchestration, and predictive comfort insights, this system empowers architects to craft spaces that seamlessly integrate with natural light. In an era that values sustainable design and human-centric spaces, this system emerges as a guiding light, illuminating the path to spaces that are not just visually striking but also environmentally responsive and inherently comforting.
[00025] The method for determining sunlight-optimized window placements within structures unfolds as an architectural revelation, blending precision and solar insight to redefine the art of designing spaces illuminated by natural light. This method represents a paradigm shift that infuses architecture with functionality, optimizing window placements to bring about an era of illuminated living.
[00026] The journey commences with a beacon of accuracy - the geolocation module. This module serves as the architectural compass, locking onto the structure's geographical positioning and orientation. For real-time accuracy, the method employs real-time GPS coordinates, ensuring that the structure's alignment is guided by utmost precision.
[00027] Solar mastery enters the scene through the sun's trajectory calculator. This calculator is the architect's guide to the sun's journey, tapping into historical and real-time data to compute the sun's trajectory for the structure's precise location. To enhance its insights, the calculator delves into a global solar incidence database, refining sun path predictions that will shape the course of the method.
[00028] The structural design interface emerges as a digital canvas for architectural creativity. This interface is the virtual embodiment of the structure, offering architects an interactive realm to craft their designs.
[00029] The method's masterpiece surfaces through the optimization engine. This engine orchestrates the synthesis of data from the geolocation module and solar trajectory calculations. The result is a symphony of suggestions that spotlight optimal window placements within the structural design interface. These placements, harnessed by solar precision, usher in an architectural narrative that seamlessly weaves design and natural illumination.
[00030] The method's impact extends beyond calculations into visualization. The structural design interface isn't a static representation but a dynamic arena of 3D models. As the optimization engine steers the window placements, the interface evolves in real-time, granting architects a visual preview of the optimized design.
[00031] Functionality and comfort converge through the environmental comfort predictor. This module employs the optimized window placements as catalysts to estimate indoor temperature variations and lighting levels. By envisioning the sun's ingress, this predictor extends an invitation to a space that is both aesthetically pleasing and inherently comfortable.
[00032] By fusing geolocation precision, solar understanding, digital design, optimization orchestration, and predictive comfort, this method empowers architects to infuse spaces with the essence of natural light. In an age that cherishes environmentally responsive design and human well-being, this method paves the way for structures that don't just serve as shelters but as sanctuaries, bathed in the glow of a sun-optimized design.

Brief Description of the Drawings
[00033] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00034] FIG. 1 pictorially depicts a framework of a system for sunlight-optimized window placement in structures, according to some embodiments of the present disclosure.
[00035] FIG. 2 figuratively portrays a detailed schematic flow chart of a method for determining sunlight-optimized window placements in structures, according to some embodiments of the present disclosure.
[00036]
Detailed Description
[00037] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00038] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00039] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00040] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00041] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
[00042] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00043] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00044] The present invention resides in the domain of architectural design and building science. More particularly, the invention pertains to a methodology for determining the optimal placement of windows in architectural structures to maximize natural sunlight penetration. Leveraging cutting-edge computational analysis, solar path tracking, and building orientation considerations, this inventive method facilitates the precise positioning of windows within a building's layout to ensure optimal utilization of natural light throughout the day. The resulting designs contribute to enhanced energy efficiency, occupant comfort, and sustainable architectural solutions.
[00045]

[00046] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00047] In the realm of sustainable architecture and design, sunlight stands as a primordial asset. It offers both aesthetic and functional advantages. However, to tap into the full potential of sunlight, architects and designers have, for long, grappled with the challenge of how best to position windows in a structure. Enter the system 100 for sunlight-optimized window placement—a groundbreaking amalgamation of geolocation, solar trajectory calculations, structural representation, and optimization algorithms that promise to refine how we harness the sun’s radiance within our buildings. Imagine being an architect. Your task is to design a residential structure in the picturesque city of Florence, Italy. You're keen on ensuring that each room benefits from natural sunlight, enhancing the ambiance and reducing the reliance on artificial lighting. The sunlight-optimized window placement system would be your indispensable ally in this endeavor.
[00048] According to a pictorial portrayal in FIG. 1, illustrating an architectural setup of the system 100 for sunlight-optimized window placement in structures, comprising a geolocation module 102 designed to determine the exact geographical positioning and orientation of a structure, a solar trajectory calculator 104 accessing real-time and historical sun path data for the identified location, a structural design interface 106 that digitally represents the structure's layout, and an optimization engine 108 that utilizes data from the geolocation module and solar trajectory calculator to recommend optimal window placements within the structural design interface.
[00049] At the heart of this system 100 lies the geolocation module, designed meticulously to determine the exact geographical positioning and orientation of a structure. Every location on Earth, from the bustling streets of New York City to the serene landscapes of New Zealand, receives sunlight differently, influenced by its latitude, altitude, and orientation. In our Florence example, using the geolocation module with integrated GPS, the architect can pinpoint the exact location of the proposed building site. This isn't merely about understanding the site is in Florence but delving deeper—knowing its specific coordinates, its altitude compared to sea level, and its orientation concerning cardinal directions.
[00050] Once the geographical nuances are established, the next piece of this intricate puzzle is understanding the sun's trajectory. This is achieved through the solar trajectory calculator, which is no ordinary tool. It accesses real-time and historical sun path data for the identified location. Sun paths, or solar trajectories, chart the sun's movement across the sky at different times of the day and year. For the proposed Florence residential structure, this calculator would provide invaluable insights. The architect would discern when the sun rises during different seasons, its zenith at noon, and the time and angle of its setting. Moreover, by tapping into a global solar incidence database, the predictions become even more refined. Such granularity ensures that every potential shade, every beam of sunlight, is accounted for.
[00051] Translating this data into actionable design choices is the next challenge. This is where the structural design interface comes into play. It digitally represents the structure's layout, providing a canvas upon which the architect can design. But this isn't a static representation; it's dynamic, interactive, and, most importantly, responsive. Taking our Florence example further, as the architect sketches the structure's layout on this interface, they’re not working blind. They can see a 3D visualization of the building, witnessing in real-time how the sun’s rays interact with it. This is more than just drawing walls and placing windows; it's seeing how the morning sun would illuminate the living room or how the evening glow would bathe the bedroom.
[00052] The true magic, however, is woven by the optimization engine. This engine is like the maestro of an orchestra, bringing together all the components to create a harmonious design. Utilizing data from both the geolocation module and the solar trajectory calculator, this engine recommends optimal window placements within the structural design interface. Back to Florence, as our architect designs, the optimization engine might suggest placing larger windows in the dining area to catch the noonday sun or perhaps recommending clerestory windows in the study to ensure consistent daylight without the glare. Each recommendation is rooted in data, ensuring that the structure, once built, will be a haven of natural light.
[00053] Yet, the system's prowess doesn't end with window placement. Another facet, the environmental comfort predictor, takes the experience a notch higher. Once the window placements are optimized, this predictor estimates indoor temperature variations and lighting levels based on expected sunlight ingress.
[00054] For residents of the Florence home, this means understanding in advance how the indoor temperatures might fluctuate during a sweltering summer day or estimating how bright the kitchen would be on a winter morning. Such predictions empower residents to plan—whether it's deciding not to invest in heavy drapes or understanding that they might not need to switch on the lights until evening.
[00055] Referring to one or more preceding embodiments, the system 100 for sunlight-optimized window placement is more than just a tool; it's a paradigm shift. By melding precise geolocation, intricate sun path calculations, dynamic structural design, and predictive algorithms, it offers architects, designers, and homeowners a future where structures are not just built but are crafted in harmony with the sun.
[00056] Taking the hypothetical journey of designing a residence in Florence, it becomes evident how this system can shape experiences. Residents would wake up to gentle morning light, work in spaces bathed in consistent daylight, and retire in rooms kissed by the evening sun. Such is the promise of this system—a promise of structures that don't merely stand on land but dance with the rhythm of the sun. And as the world gravitates towards sustainable living, systems like these will not just be desired but will be indispensable.
[00057] Sunlight-optimized window placement in structures is more than a design choice; it's a lifestyle one. The quality and quantity of sunlight that permeates a structure can affect everything from mood and productivity to energy consumption. In this era of sustainable design and heightened environmental consciousness, architects, and builders have an amplified responsibility to ensure their structures harmonize with the natural world. A pioneering method 200 has emerged to aid in this cause, providing a systematic approach to determining sunlight-optimized window placements in structures. Let's journey through this method 200, unpacking each step with illustrative examples and capturing its transformative potential.
[00058] Figuratively depicted in FIG. 2, representing a flow diagram of the method 200 for determining sunlight-optimized window placements in structures, comprising the steps of (at step 202) pinpointing the geographical positioning and orientation of a structure using a geolocation module, (at step 204) calculating the sun's trajectory for the identified location using historical and real-time data(at step 206) representing the structure digitally within a structural design interface and (at step 208) utilizing an optimization engine to suggest optimal window placements based on the data from the geolocation module and solar trajectory calculations.
[00059] Imagine the city of Vancouver, known for its picturesque landscapes and distinctive seasons. An architect, let's call her Emma, is entrusted with designing a multi-story residential building. Emma's clients emphasize the importance of natural light, desiring spaces that feel open, warm, and connected to the outside world. The method we're about to delve into becomes Emma's guiding star. Every structure's relationship with sunlight begins with its location on Earth. The first step in this method involves pinpointing the geographical positioning and orientation of the structure using a geolocation module.
[00060] For Emma's Vancouver project, this means determining not only that the building is in Vancouver but discerning its exact latitude, longitude, altitude, and orientation. Because sunlight interacts differently with a building facing north in Vancouver's downtown compared to one oriented east near its coastline. But Emma goes a step further. By obtaining real-time GPS coordinates, she refines the building's position determination with remarkable precision. Such granularity ensures that every nuance—be it the shadow cast by a nearby mountain or the brightness of the mid-summer sun—is taken into account.
[00061] Having established the building's location, Emma then turns her attention to the sun. The sun, in its daily east-to-west traverse and its seasonal oscillations, creates ever-changing patterns of light and shadow. Using this method, the sun's trajectory for the identified location is calculated using a mix of historical and real-time data. For instance, during Vancouver's winter months, the sun traces a low arc, casting long shadows and offering a softer light. Conversely, during the summer, its path is high, creating brighter interiors and shorter shadows. Emma, by tapping into a global solar incidence database, enhances the accuracy of her sun path predictions. This database, fed with information from countless locations worldwide, provides detailed insights into the sun’s behavior, tailored to the building's exact location.
[00062] With a solid understanding of the building's geographical context and the sun's trajectory, Emma embarks on the design process. Here, the method introduces a structural design interface—a digital canvas where the building takes shape. On this platform, Emma sketches the Vancouver building's layout, visualizing spaces, and conceptualizing design elements. But this is no static blueprint. The interface offers a dynamic representation, allowing her to visualize how sunlight interacts with her design at different times of the day and year.
[00063] However, data and design truly merge with the introduction of the optimization engine. This engine, informed by the geolocation module and solar trajectory calculations, offers recommendations for window placements that maximize sunlight ingress. As Emma designs the Vancouver residential building, the engine might suggest elongating windows in the lounge area to harness the winter sun or positioning skylights in the central corridor to ensure daylight permeation year-round.
[00064] Every suggestion is rooted in empirical data, ensuring the resultant design feels luminous and lively. But Emma's design doesn't remain static. As she receives recommendations from the optimization engine, she visualizes these window placement suggestions within a 3D model of the building. This dynamic adjustment capability allows her to see, in real-time, how each design choice impacts the building's sunlight quotient. She can virtually walk through the spaces, gauging how morning light floods the bedrooms or how the evening sun sets, casting a golden hue in the living area.
[00065] Yet, sunlight isn't just about aesthetics; it has tangible effects on the living experience. The method acknowledges this, introducing an environmental comfort predictor module. Using this, once the window placements are optimized, the system can estimate indoor temperature variations and lighting levels based on expected sunlight ingress. For the residents of Emma's Vancouver building, this predictor is a glimpse into the future. Before even moving in, they can anticipate how the indoor temperatures might feel on a sunny July afternoon or understand the brightness levels of the kitchen during a cloudy November morning. Such predictions, backed by the meticulous data and design synergy of the method, empower residents. They can plan their spaces better, understanding where to place reading nooks, where indoor plants might thrive, or where blackout curtains might be unnecessary.
[00066] Referring to one or more preceding embodiments, the method 200 for determining sunlight-optimized window placements in structures is a symphony of science, art, and experience. It recognizes that buildings aren't isolated entities but exist in a dynamic relationship with their environment. By merging precise geolocation, nuanced solar calculations, dynamic design interfaces, and predictive modules, the method promises spaces that feel alive, warm, and deeply connected to the world outside. As Emma finalizes her Vancouver project, she reflects on the transformative power of this method. What she's creating isn't just a building; it's a living entity. Her residential structure will evolve with the seasons, adapt to the sun's rhythms, and offer its residents spaces that feel both personal and expansive.
[00067] Through this method 200, structures across the globe, be they in bustling cities or tranquil countrysides, have the potential to redefine their relationship with the sun. Buildings will no longer be mere shelters but sanctuaries of light. And as humanity continues its quest for sustainability and harmony with nature, methods like these aren't just desirable—they're indispensable.
[00068] The above description is intended to be illustrative, and not restrictive. Although the present disclosure has been described with references to specific illustrative examples and implementations, it will be recognized that the present disclosure is not limited to the examples and implementations described. The scope of the disclosure should be determined with reference to the following claims, along with the full scope of equivalents to which the claims are entitled.
[00069] Modifications, additions, or omissions may be made to the systems and apparatuses described herein without departing from the scope of the disclosure. The components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses may be performed by more, fewer, or other components. Additionally, operations of the systems and apparatuses may be performed using any suitable logic comprising software, hardware, and/or other logic. As used in this document, “each” refers to each member of a set or each member of a subset of a set.
[00070] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00071] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
[00072]

Claims
I/We Claim:
1. A system for sunlight-optimized window placement in structures, comprising: a geolocation module designed to determine the exact geographical positioning and orientation of a structure; a solar trajectory calculator accessing real-time and historical sun path data for the identified location; a structural design interface that digitally represents the structure's layout; and an optimization engine that utilizes data from the geolocation module and solar trajectory calculator to recommend optimal window placements within the structural design interface.
2. The system of claim 1, wherein the geolocation module includes GPS integration for real-time position determination.
3. The system of claim 1, wherein the solar trajectory calculator taps into a global solar incidence database to refine sun path predictions for the selected location.
4. The system of claim 1, wherein the structural design interface offers 3D visualizations of the structure, dynamically updating as the optimization engine suggests window placements.
5. The system of claim 1, further comprising an environmental comfort predictor, using the optimized window placements to estimate indoor temperature variations and lighting levels based on expected sunlight ingress.
6. A method for determining sunlight-optimized window placements in structures, comprising the steps of: pinpointing the geographical positioning and orientation of a structure using a geolocation module; calculating the sun's trajectory for the identified location using historical and real-time data; representing the structure digitally within a structural design interface; and utilizing an optimization engine to suggest optimal window placements based on the data from the geolocation module and solar trajectory calculations.
7. The method of claim 6, further involving obtaining real-time GPS coordinates to refine the structure's position determination.
8. The method of claim 6, tapping into a global solar incidence database to enhance the accuracy of sun path predictions for the structure's location.
9. The method of claim 6, visualizing window placement suggestions within a 3D model of the structure, dynamically adjusting based on recommendations from the optimization engine.
10. The method of claim 6, further estimating indoor temperature and lighting levels based on the optimized window placements, using an environmental comfort predictor module.

SUNLIGHT OPTIMIZED WINDOW PLACEMENT METHOD
Abstract
Presented is a system tailored for the optimal placement of windows in structures to harness sunlight efficiently. The system incorporates a geolocation module that pinpoints the precise geographical location and orientation of a given structure. Working in tandem, a solar trajectory calculator leverages both real-time and historical sun path data pertinent to the identified locale. Within a structural design interface, the structure's layout is digitally portrayed, allowing for seamless adjustments and design modifications. Central to the system, an optimization engine processes insights from the geolocation module and solar trajectory calculator, subsequently guiding the user to strategically place windows within the structural design interface. This ensures a harmonious balance between architectural aesthetics and energy-efficient sunlight utilization. , Claims:Claims
I/We Claim:
1. A system for sunlight-optimized window placement in structures, comprising: a geolocation module designed to determine the exact geographical positioning and orientation of a structure; a solar trajectory calculator accessing real-time and historical sun path data for the identified location; a structural design interface that digitally represents the structure's layout; and an optimization engine that utilizes data from the geolocation module and solar trajectory calculator to recommend optimal window placements within the structural design interface.
2. The system of claim 1, wherein the geolocation module includes GPS integration for real-time position determination.
3. The system of claim 1, wherein the solar trajectory calculator taps into a global solar incidence database to refine sun path predictions for the selected location.
4. The system of claim 1, wherein the structural design interface offers 3D visualizations of the structure, dynamically updating as the optimization engine suggests window placements.
5. The system of claim 1, further comprising an environmental comfort predictor, using the optimized window placements to estimate indoor temperature variations and lighting levels based on expected sunlight ingress.
6. A method for determining sunlight-optimized window placements in structures, comprising the steps of: pinpointing the geographical positioning and orientation of a structure using a geolocation module; calculating the sun's trajectory for the identified location using historical and real-time data; representing the structure digitally within a structural design interface; and utilizing an optimization engine to suggest optimal window placements based on the data from the geolocation module and solar trajectory calculations.
7. The method of claim 6, further involving obtaining real-time GPS coordinates to refine the structure's position determination.
8. The method of claim 6, tapping into a global solar incidence database to enhance the accuracy of sun path predictions for the structure's location.
9. The method of claim 6, visualizing window placement suggestions within a 3D model of the structure, dynamically adjusting based on recommendations from the optimization engine.
10. The method of claim 6, further estimating indoor temperature and lighting levels based on the optimized window placements, using an environmental comfort predictor module.