Browse Topic: Sun and solar

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The Core Module of the space station is the first module of China’s Space Station, responsible for controlling the key parameters such as orbit, speed, and pressure of the entire space station, and serving as the control center of the assembly. The Solar Array Drive Assembly is a part of the Core Module. It needs to participate in the functional requirements of the whole cabin sealing of the cabin body, so it adopts the design scheme of semi-sealed. By adjusting the compression ratio and volume fraction of the sealing ring, and the roughness of the sealing surface, the overall sealing performance is improved. A small cavity leak detection hole is added to realize the sealing effect of detecting the second-layer seal separately. The real leakage rate of the drive mechanism is detected effectively by using multiple calibration schemes in the leak detection process, and the semi-sealing technology of the Solar Array Drive Assembly is verified, which has guidance and reference significance for the subsequent spacecraft design requiring a sealing function.
Dai, FeiZhu, JiahaoHuang, MengzheQian, Zhiyuan
With the deepening of space exploration, deep space exploration missions face formidable challenges. Among these, intense solar radiation and high-temperature environments pose severe threats to precision instruments and equipment in space. Stray light suppression and protection against external heat flow inputs have emerged as critical technical requirements in the design of modern spacecraft over recent years. To address the demand of space applications, this paper proposes a cylindrical deployable sunshield with axial deployment capability. First, drawing on the 6UU/3UPU/3UKU mechanism as a foundational reference, the basic module was defined through in-depth analysis of the multi-layer Kresling origami pattern. Guided by the modular composition principle, these basic modules were further assembled into an integrated deployable support mechanism. Secondly, the overall kinetic and potential energy of the full mechanism system were computed and incorporated into the second-type Lagrange equation. To verify both the correctness of the established dynamic model and the reliability of follow-up simulation studies, an integrated validation strategy was implemented: SolidWorks was used for three-dimensional modeling and kinematic simulation of the mechanism, while Matlab was employed for numerical solving and result analysis of the dynamic model, with consistent outcomes from both tools confirming the model’s correctness.
Liu, YongyuChang, Boyan
Solar greenhouses in winter or mountainous areas can be at risk of roof snow accumulation, leading to collapse, poor lighting, and sudden drops in temperature. The snow removal technologies presently employed on these greenhouses have the disadvantages of being cumbersome to adjust, being intricately structured, having a high cost, having high energy consumption, and being poorly adaptable to the curvature of the plastic. An intelligent snow removal device for removing snow on a northern solar greenhouse roof, and an automatic alarm safety system were designed to solve the problems. The device consists of a snow-clearing mechanism, a traversing mechanism, and detection-alarm modules. The mechanism for snow removal consists of a crank-slider with a curved guide rail. The snow removal rod is driven by the gear motor, which goes back and forth on the arched top. A bevel gear transmission system drives the gear motor mechanism. Due to this, the transverse mechanism moves with an interrupting jump-action on transverse rails around many different zones. The system for monitoring snow pressure has a distributed sensor that is programmed as a shield using an Arduino software system. The sensors detect the pressure of the snow in real-time. When the snow pressure hits the threshold, it activates the mechanism for coordinated functioning. This mechanism triggers snow clearing when the pressure threshold is achieved to avoid energy consumed through “premature clearing”. It also fits well on the curved surfaces of the greenhouse without any jamming. The snow removal machine’s various components and operations would accomplish full span snow removal and make it possible to overcome high labour intensity, slow manual response, energy waste, and others. The technology can enhance the safety of winter production of northern greenhouse crops and improve the disaster-resistant capacity of modern agriculture facilities. This technology has been granted a patent for invention.
Fu, ChengguoWei, ShanxiangZhang, RongxianDing, XuefengGao, Yulan
Lunar dust consists of extremely fine particles and exhibits electrostatic charging properties and electrostatic adhesion. These characteristics cause lunar dust to be highly susceptible to mobilization during lander touchdowns, rover traversals, and human activities, forming widely distributed dust clouds. Lunar dust contamination not only abrades spacecraft and equipment to impair their performance but also poses a threat to astronauts’ safety. To verify the impact of the lunar dust environment on exploration equipment components, a simulation mechanism adaptable to the thermal vacuum test environment was designed. This mechanism is integrated into the lunar environment simulation system and uses a vacuum stepper motor to drive a ratchet mechanism, enabling precise vibrational injection of simulated lunar dust. It mainly consists of a pretreatment mechanism, a particle sedimentation mechanism, a shielding mechanism, and an ultraviolet (UV) irradiation system. Considering the vacuum operating environment, alternating high and low temperature conditions, as well as the strict requirements for the mechanism’s compact size and high reliability, this paper analyzes in detail a series of problems encountered during the development of the mechanism and their corresponding solutions. Stainless steel and polytetrafluoroethylene (PTFE) were selected as the main materials for the mechanism. Meanwhile, active temperature control measures were adopted to actively regulate the temperature of components such as the motor. Ultimately, the mechanism can withstand alternating high and low temperatures ranging from -150°C to 150°C and a vacuum environment of 5 × 10^–6 Pa. Under this environment, the mechanism can achieve vibration frequency adjustment within the range of 1-5 Hz, and realize the sedimentation of simulated lunar dust particles with a particle size of less than 200 μm over an area of 150 mm × 150 mm. After sedimentation, the simulated lunar dust particles can be charged through the photoelectric effect.
Xu, MenglongLv, ShizengLi, GuohuaGong, Jie
With the development of manned spaceflight and deep space exploration, TC4 alloy has been used for the structure design of aircraft due to its excellent characteristics. Thermal radiation properties (solar absorptance and hemispheric emittance) of TC4 alloy are becoming important design indices. We investigated TC4 alloys with different surface morphologies and the effect of micro-morphology on thermal radiation properties. The results show that the solar absorptance of the alloys is sensitive to surface roughness and microstructure. As the surface roughness or crack increases, solar absorptance increases. Hemispheric emittance of the alloys increases as surface roughness is added, but it is insensitive to the micro-nanostructure of the alloys.
Liu, YangZhu, XiaoxiRen, ChaolongLi, DasongWan, LeiHuang, Feiyu
For decades, Sandia National Laboratories’ National Solar Thermal Test Facility has harnessed the power of the sun to expose aerospace materials to intense heat, replicating the harsh conditions of faster-than-sound flight and atmospheric reentry to ensure the materials’ ability to protect the rest of the vehicle. The most recent of these tests is in support of two exciting NASA missions.
Among the enduring challenges of storing energy – for wind or solar farms, or backup storage for the energy grid or data centers – is batteries that can hold large amounts of electricity for a long time.
Solar seasonal thermal energy storage technology is an important means to solve the problem of seasonal uneven distribution of solar resources, and as the core component, the thermal storage capacity of the water pit directly affects the performance of the whole system. Accurately mastering the water pit temperature is essential for scientifically evaluating its thermal storage capacity. Based on the thermal storage water pit simulation software developed in the laboratory, this study focuses on determining the optimal number of temperature measurement points required for seasonal thermal energy storage water pits under an accuracy requirement of ±0.1°C, and establishes the mathematical relationship between the number of measurement points and the height-diameter ratio (H/D) as well as the inlet position. The proposed method can cover the temperature measurement point design for cylindrical and frustum-shaped water pits, and can also be referenced for prism-shaped configurations. Combined with the thermal performance analysis of the Huangdi City Phase II seasonal thermal energy storage project, the applicability of the mathematical relationship has been verified. The optimal number of measurement points obtained in this study provides effective suggestions for the scientific design of water pit temperature measurement systems.
Niu, PengbinMa, JianfuWang, FangxingQi, Shiyu
Researchers now say that the best-performing materials in sustainable energy applications — e.g., converting sunlight or waste heat to electricity — often use collective fluctuations of clusters of atoms within a much larger structure; this process is often referred to as “dynamic disorder.”
The growing global adoption of electric vehicles (EVs) has resulted in a spike in the number of EV charging stations. As EVs have become more and more popular worldwide, a large number of EV charging stations are opening up to accommodate their demands. During grid failures, an EV charging station can also serve as a flexible load connected to the grid to balance out voltage fluctuations. An EV charging station when powered using a separate source, such as solar or wind, can function as a powerhouse, bringing electricity to the grid when it's needed. Therefore, instead of installing more equipment to sustain voltage, the current EV charging station can be efficiently used to meet the grid's needs during failures. These stations have the potential to be dynamic, grid-connected assets for sustainable cities and communities in addition to their core function of vehicle charging (SDG 11). Because of their dual purpose, they can serve as adaptable loads that reduce voltage variations during grid outages, making it easier for people to obtain dependable electricity (SDG 7). By making use of the current EV infrastructure, a low-carbon energy transition is promoted, and resource efficiency (SDG 13- Climate Action) is supported, while lowering the demand for additional grid-support devices.
R, UthraRangarajan, RaviD, SuchitraD, Anitha
Systems for solar desalination provide a practical and environmentally friendly way to turn salty or polluted water into drinkable water. Three configurations are experimentally investigated in this study: a traditional solar desalination system, a system integrated with a thermal energy storage unit (TESU) based on phase change material (PCM), Multi wall Carbon nano Tube were mixed with PCM at 2% of total volume of the PCM and a system that incorporates powdered natural dolomite/MWCNT at 1% each into the PCM-based TESU. Each of the four configurations was created, tested simultaneously, and thoroughly examined. In comparison to the Standard Still (SS), the experimental findings showed that the adoption of PCM-based TESUs increased daily cumulative water output (collection efficiency) by 24%, 26% with addition of MWCNT and the addition of dolomite powder/MWCNT further increased productivity by 27%. The average exergy efficiencies for for SS, SS with PCM, SS with nano enriched PCM, and SS on PCM with MWCNT/dolomite were 1.02%, 1.25%, 1.34% and 1.6%, respectively compared to SS without PCM.
R L, KrupakaranPetla, RatnakamalaAnchupogu, PraveenP, UmamaheswarraoSatya Meher, RDunna, Vijay
The automotive industry is advancing rapidly with the integration of cutting-edge technology, aesthetics, and performance. One area that has remained relatively underexplored in the pursuit of sleek, minimalistic interiors is the packaging of Sunshade in door trim system. Traditional sunshade design, often bulky and increasingly incompatible with the trend towards compact design and packaging. The car sunshade is a shield that is placed on a car side window and used for regulating the amount of light entering from the car window and helps improve the passenger comfort inside the cabin. Car Interior components, specifically plastic and seats are based on thermal stress properties. When we expose these parts to direct contact with sunlight, humidity and ambient temperature above threshold limit, the interior plastic parts can start to soften and melt. Due to this, they start emitting harmful chemicals which cause anemia and poor immune systems. So, the Sunshade, in addition to protecting passengers’ comfort inside car, it also protects passenger from harmful radiation and enhances overall visual appeal of the vehicle. The main objective of this paper is to address the following: An innovative approach to the design of sunshade for Door trim Meeting shoulder room target Focusing on enhancing aesthetics, Low weight impact, robust design, and assembly, Managing sunshade quality as per regular standard.
Palyal, NikitaD, GowthamBhaskararao, PathivadaBornare, HarshadRitesh, Kakade
The adoption of sustainability in electric mobility has made it crucial to investigate environmentally friendly materials. Polymer materials used in automotive application plays very important role in material circularity contributing significant value addition to the overall carbon footprint index. This study discloses the development of recycled polyester textiles derived from PET bottle waste and use for automotive interior parts. The use of recycled textiles is directly helping the organization in scope 3 emissions to get the lower carbon footprint value as it is eliminating the use of fossil fuel resources in making the PET textiles. In this study, the development of 50% recycled PET textile and its feasibility for automotive interior is disclosed in detail. The 50 % recycled PET was tested against automotive critical requirements such as sun load UV resistance, abrasion durability, color migrations, soiling resistance, mechanical and thermal properties. The findings showed that recycled fabrics can perform equal to the virgin materials in all aspects meeting all critical functional requirements. This development encourages the automotive industry to adopt environmentally responsible practices, fostering a more sustainable and eco-conscious future. The findings serve as a foundation for further exploration and innovation in the development of eco-friendly materials for automotive applications.
Palaniappan, ElavarasanVaratharajan, SenthilkumaranBalaji, K VDodiya, Rohanbhai
As countries race to expand renewable energy infrastructure, balancing clean electricity production with land use for food remains a pressing challenge — especially in Japan, where mountainous terrain limits space. A recent study led by researchers from the University of Tokyo explores a promising solution: integrating solar panels with traditional rice farming in a practice known as agrivoltaics.
Off-highway vehicles (OHVs) frequently operate in extreme environments—ranging from arid deserts and frozen tundras to dense forests and abrasive mining zones—where structural wear, impact damage, and environmental stress compromise their material integrity. Frequent repairs and component replacements increase operational costs, downtime, and environmental waste, making durability and sustainability key concerns for next-generation vehicle systems. This paper explores a novel class of self-healing biodegradable composites, inspired by biological systems, to address these challenges. The proposed materials combine bio-based resins, microencapsulated healing agents, and shape-memory polymers (SMPs) to autonomously repair microcracks and surface-level damage when triggered by thermal, UV, or mechanical stimuli. The design draws inspiration from natural self-healing systems such as tree bark and reptile skin, replicating their regenerative behavior to enhance structural resilience in OHVs. The composite’s biodegradability ensures environmental friendliness at end-of-life, aligning with circular economy goals. Laboratory-scale experiments and computational simulations assess tensile strength, fracture toughness, healing efficiency, and environmental stability (e.g., temperature cycling, UV exposure, and abrasion).
Vashisht, Shruti
Electricity is a fundamental necessity for individuals worldwide, serving as a force driving technological progress hitherto unimaginable. Electricity generation uses diverse methodologies based on available natural resources in a given geographic region. Conventional methods like thermal power from coal and natural gas, water-based hydropower, solar power from the sun, wind power, and nuclear power are used extensively, the former two being the dominant sources. The generation of nearly 70% of the world's electricity is estimated to be from thermal power plants; however, these operations lead to widespread environmental destruction, greenhouse emissions, and the occurrence of acid rain. Conventional thermal power plants run on the Rankine cycle principle of a boiler, a turbine, a condenser, and a pump. A similar method may be used in the Organic Rankine Cycle (ORC) with the use of solar energy, where heat is transferred to the working fluid in the boiler using a heat pipe, a passive heat transfer device. A closed system makes use of Liquefied Petroleum Gas (LPG) as the working fluid in the Organic Rankine Cycle, while acetone serves as the working fluid when used inside the heat pipe. The boiler is constructed to function within the pressure range of 4-7 bar, while the turbine is constructed to function at temperature levels of 150-200°C when optimized for maximum thermal efficiency. In this current research, a refrigerant boiler has been designed incorporating thermal management strategies to optimize efficiency. The rate of heat transfer from the solar collectors was analyzed under various conditions, and it was found that the evacuated tube collectors had temperature efficiencies ranging from 40-60% at various irradiation levels. Technical parameters unique to the solar collectors are an average flux of 500 W/m2 and a collector efficiency of 65% at the peak of sunlight intensity. The system can also sustain a boiler temperature of 250°C to allow for maximum system working fluid vaporization and pressure generation. The performance of the system was also subjected to different weather conditions, with particular emphasis on temperature variation and the effect on system efficiency. This research offers an insight into the development of solar-powered ORC systems with emphasis on their capability to generate clean and renewable energy. The research can also be applied to enhance the heat management of refrigerant boilers to allow for efficient temperature control and increased overall system efficiency in solar electric energy conversion.
Deepan Kumar, SadhasivamKumar, VDhayaneethi, SivajiMahendran, MSaminathan, SathiskumarR, KarthickA, Vikasraj
High-altitude uncrewed aircraft can remain in the lower stratosphere for extended periods, performing a wide range of Earth observation and communications tasks – from monitoring shipping lanes and supporting disaster response to providing internet access. The German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has now taken an important step in the development of its own high-flying solar aircraft by successfully completing a Ground Vibration Test (GVT) on its innovative HAP-alpha high-altitude platform. Extensive ground trials took place at DLR’s National Experimental Test Center for Unmanned Aircraft Systems in Cochstedt, Germany. Further tests will follow and the first low-altitude flight trial is planned for 2026, subject to ideal weather conditions.
Engineers from Australia and China have invented a sponge-like device that captures water from thin air and then releases it in a cup using the sun’s energy, even in low humidity where other technologies such as fog harvesting and radiative cooling have struggled.
Solar panels are composed of dozens of solar cells, which are usually made of silicon. While silicon is the standard, producing and processing it is energy-intensive, making it costly to build new solar panel manufacturing facilities. Most of the world’s solar cells are made in China, which has an abundance of silicon. To increase solar cell production in the U.S., a new, easily produced domestic material is needed. “We’re developing technologies that we can easily produce without spending a ton of money on expensive equipment,” said Juan-Pablo Correa-Baena, an Associate Professor in the School of Materials Science and Engineering.
Researchers have developed a new type of sensor platform using a gold nanoparticle array. The sensor is made up of a series of gold disk-shaped nanoparticles on a glass slide. When an infrared laser is pointed at a precise arrangement of the particles, they start to emit unusual amounts of ultraviolet (UV) light.
In October 2024, Kongsberg NanoAvionics discovered damage to their MP42 satellite, and used the discovery as an opportunity to raise awareness on the need to reduce space debris generated by satellites. Kongsberg NanoAvionics, Vilnius, Lithuania Our MP42 satellite, which launched into low Earth orbit (LEO) two and a half years ago aboard the SpaceX Transporter-4 mission, recently took an unexpected hit from a small piece of space debris or micrometeoroid. The impact created a 6 mm hole, roughly the size of a chickpea, in one of its solar panels. Despite this damage, the satellite continued performing its mission without interruption, and we only discovered the impact thanks to an image taken by its onboard selfie camera in October of 2024. It is challenging to pinpoint exactly when the impact occurred because MP42's last selfie was taken a year and a half ago, in April of 2023.
Our MP42 satellite, which launched into low Earth orbit (LEO) two and a half years ago aboard the SpaceX Transporter-4 mission, recently took an unexpected hit from a small piece of space debris or micrometeoroid. The impact created a 6 mm hole, roughly the size of a chickpea, in one of its solar panels.
Thermoelectric generators that can convert waste heat to clean energy could soon be as efficient as other renewable energy sources, like solar, according to a team led by Penn State scientists. Using high-entropy materials, the researchers created more efficient thermoelectric materials than previously possible, an advancement that they said could even help make long-distance space exploration possible.
Shadow positions can be useful in determining the time of day that a photograph was taken and determining the position, size, and orientation of an object casting a shadow in a scene. Astronomical equations can predict the location of the sun relative to the earth, and therefore the position of shadows cast by objects, based on the location’s latitude and longitude as well as the date and time. 3D computer software includes these calculations as a part of their built-in sun systems. In this paper, the authors examine the sun system in the 3D modeling software 3ds Max to determine its accuracy for use in accident reconstruction. A parking lot was scanned using a FARO LiDAR scanner to create a point cloud of the environment. A camera was then set up on a tripod at the environment, and photographs were taken at various times throughout the day from the same location. This environment was 3D modeled in 3ds Max based on the point cloud, and the sun system in 3ds Max was configured using the date and time of the photographs. Photogrammetry techniques were used to align undistorted photographs to the 3D environment, and rendered images were compared to the photographs. The results show that the 3ds Max sun system recreates the sun's position adequately, making it a reliable tool for accurately determining shadow locations and dimensions.
Barreiro, EvanErickson, MichaelSmith, ConnorCarter, NealHashemian, Alireza
In 2022, the U.S. transportation sector was the largest source of greenhouse gas emissions in the country, with the combination of passenger and commercial vehicles contributing 80% of these emissions. As adoption of passenger electric vehicles continues to climb, sights are being set on the electrification of heavy-duty commercial vehicle (HDCV) fleets. The sustainability of these shifts relies in part on the addition of significant renewable energy generation resources to both bolster the grid in the face of increased demand, and to prevent a shift in the source of greenhouse gas (GHG) emissions to the grid, as opposed to a true net reduction. Additionally, it is necessary to quantify the variations in economic viability across the country for these technologies as it pertains to their productive capabilities. Doing so will encourage investment and ensure that the transition to electrified HDCV fleets is commercially viable, as well as sustainable. In an effort to meet these goals, multiple computational frameworks are used to locate suitable land for renewable infrastructure development, and to quantify spatiotemporal variations in the potential energy generation and financial viability of development sites across the Unites States. First, the Oak Ridge Siting Analysis for power Generation Expansion tool (OR-SAGE) is used to assess the suitability of land for potential wind and solar energy development across the contiguous U.S. From there, resource data from the National Solar Radiation Database (NSRDB) and the Wind Integration National Dataset (WIND) are used in concert with the National Renewable Energy Laboratory (NREL) Renewable Energy Potential (ReV) model to calculate the variation in potential generation capacity for each resource. Additionally, the capital and operational expenditures are calculated for an example configuration of each renewable technology. These measures are then used to calculate the levelized cost of energy (LCOE) of potential sites. All of these results are then processed and analyzed to determine where in the U.S. solar and wind energy are most viable. This viability is based on available generation potential, consistency and stability of energy generation over time, and economic viability with respect to LCOE.
Miller, BrandonSun, RuixiaoSujan, Vivek
The present study is focused on the integration of phase change materials (PCMs) and Al2O3 nanoparticles into solar stills presents a promising approach to enhance their efficiency. This paper explores the design and performance analysis of a solar still system incorporating PCMs and Al2O3 nanoparticles with different concentration like 200ppm and 400ppm. The primary goal is to investigate the impact of these enhancements on the solar still’s productivity and thermal efficiency.The Aluminium Oxide Nanoparticle were synthesized by chemical co-precipitation method. XRD and TEM were used to characterize the aluminum oxide particles. In this study, Aluminum oxide nanoparticles were employed as thermal conductivity materials, while TN+30 were utilized as a phase change material. After taking about 25 (liters) of water, it was discovered that 1 cm was the ideal depth. Compared to PCM, the energy materials TN+30 and Al2O3 increased collection efficiency with 200 ppm and 400 ppm of 21.65% and 32.97%, respectively.
R L, KrupakaranSagaya Raj, GnanaPetla, Ratna KamalaKala, Lakshmi KAnchupogu, Praveen
This research investigates the potential of salt gradient solar ponds (SGSPs) as a sustainable and effective solution for thermal energy storage. The study examines the design, construction, and performance of SGSP systems that incorporate coal cinder, comparing their performance with traditional SGSPs without coal cinder. A combination of experimental and numerical approaches is used to evaluate the thermal characteristics and energy efficiency of these systems. The findings indicate that the salt gradient solar pond with coal cinder (SGSP-CC) achieves notably higher temperatures across the Upper Convective Zone (UCZ), Non-Convective Zone (NCZ), and Lower Convective Zone (LCZ), with measured temperatures of 42.57°C, 56.8°C, and 69.86°C, respectively. These represent increases of 7.53%, 12.01%, and 15.49% over those in the conventional SGSP (SGSP-C). Additionally, the energy efficiency gains in the UCZ, NCZ, and LCZ for the SGSP-CC are noteworthy, with increases of 38.06%, 39.61%, and 42.73%, respectively, compared to the SGSP-C. The numerical simulations align closely with the experimental data, showing deviations of less than 5% in both temperature distribution and energy efficiency across all zones. This research highlights the potential of SGSPs with reflectors for improved thermal storage efficiency.
J, Vinoth Kumar
This research explores the use of salt gradient solar ponds (SGSPs) as an environmentally friendly and efficient method for thermal energy storage. The study focuses on the design, construction, and performance evaluation of SGSP systems integrated with reflectors, comparing their effectiveness against conventional SGSP setups without reflectors. Both experimental and numerical methods are employed to thoroughly assess the thermal behavior and energy efficiency of these systems. The findings reveal that the SGSP with reflectors (SGSP-R) achieves significantly higher temperatures across all three zones—Upper Convective Zone (UCZ), Non-Convective Zone (NCZ), and Lower Convective Zone (LCZ)—with recorded temperatures of 40.56°C, 54.2°C, and 63.1°C, respectively. These values represent an increase of 6.33%, 11.12%, and 14.26% over the temperatures observed in the conventional SGSP (SGSP-C). Furthermore, the energy efficiency improvements in the UCZ, NCZ, and LCZ for the SGSP-R are considerable, showing increases of 39.18%, 35.46%, and 39.64%, respectively, when compared to the SGSP-C. The numerical simulations are in strong agreement with the experimental results, exhibiting minimal deviations of less than 5% in both temperature distribution and energy efficiency across all zones. This study underscores the potential of SGSPs with reflectors for enhanced thermal storage performance.
J, Vinoth Kumar
A research team led by Associate Professor Tao Sun has made new discoveries that can expand additive manufacturing in aerospace and other industries that rely on strong metal parts.
Spaceflight outside of the Earth’s protective magnetic field is dangerous from a cosmic radiation perspective. Inside Earth’s magnetic field, where the manned International Space Station (ISS) orbits, the radiation encountered is minimal and almost all is deflected by our planet’s magnetic fields. However, outside that protective shield, the Sun’s solar wind (high energy radiation, solar energetic particles or SEPs) consisting of protons, electrons, alpha particles, and plasmas continuously bombards the spacecraft for the months or years of spaceflight.
Imagine the Moon as a hub of manufacturing, construction, and even human life. It’s no longer a far-fetched idea baked in science fiction lore — increased interest and investment in space exploration are pushing efforts to develop the technologies needed to make the moon a viable home for humans.
In recent years, engineers at ETH Zurich have developed the technology to produce liquid fuels from sunlight and air. In 2019, they demonstrated the entire thermochemical process chain under real conditions for the first time, in the middle of Zurich, on the roof of ETH Machine Laboratory. These synthetic solar fuels are carbon neutral because they release only as much CO2 during their combustion as was drawn from the air for their production. Two ETH spin-offs, Climeworks and Synhelion, are further developing and commercializing the technologies.
It’s common knowledge that a major challenge for solar energy is how to store excess energy produced when conditions are right, like noon-time sun, so that it can be used later. The usual answer is batteries. But renewable energy resources are causing problems for the electricity grid in other ways as well. In a warm, sunny location like California, mid-afternoon had been a time of peak demand for the electric utility, but with solar it’s now a time of peak output.
In the future, power sockets used to recharge smartphones, tablets, and laptops could become obsolete. The electricity would then come from our own clothes. By means of a new polymer that is applied on textile fibers, clothing could soon function as solar collectors and thus as a mobile energy supply.
This SAE Aerospace Recommended Practice (ARP) contains guidelines and recommendations for subsonic airplane air conditioning systems and components, including requirements, design philosophy, testing, and ambient conditions. The airplane air conditioning system comprises that arrangement of equipment, controls, and indicators that supply and distribute air to the occupied compartments for ventilation, pressurization, and temperature and moisture control. The principal features of the system are: a A supply of outside air with independent control valve(s). b A means for heating. c A means for cooling (air or vapor cycle units and heat exchangers). d A means for removing excess moisture from the air supply. e A ventilation subsystem. f A temperature control subsystem. g A pressure control subsystem. Other system components for treating cabin air, such as filtration and humidification, are included, as are the ancillary functions of equipment cooling and cargo compartment conditioning. The interface with the major associated system, the pneumatic system (Chapter 36 of ATA 100) is at the inlet of the air conditioning shutoff valves. This boundary definition aligns with that in the ATA 100 Specification.
AC-9 Aircraft Environmental Systems Committee
Passenger vehicles like buses tend to soak up heat when they are parked under an open sky. The temperatures inside the vehicle can get very high during daytime due to heating, which reduces the thermal comfort levels. All three modes of heat transfer, i.e., conduction, convection and radiation contribute to the heating process. Cool-down tests are performed to replicate this thermal behaviour and evaluate the time required for cooling the internal bus volume to comfortable temperatures. The phenomenon can also be analysed using CFD, and accounts of numerous such studies are available however, the effects of all three modes of heat transfer for practical application are rarely studied. In view of this, an effort has been made to develop a fast and reasonably accurate transient numerical method to predict the thermal behaviour of the cool-down process for a school bus cabin. The effects of all three modes of heating (conduction, convection, and solar radiation) have been evaluated, and the method has been validated using test data. Comparison of CFD & test data shows that CFD tends to predict faster cooling, which can be attributed to lesser thermal mass inside the bus due to the simplification of the bus model for practical purposes of reducing the simulation time. The overall deviation of the CFD results from the test data is in the order of 3-8%, which was found to be reasonable given the computational time, however, the accuracy of the method can be further improved by evaluating different turbulence models. The method can be used for comparing the cooling performance of various evaporators and evaluate passenger thermal comfort inside the bus cabin, ultimately help in reducing the energy consumption of the vehicle.
Sharma, ShantanuSingh, RamanandZucker, JamesMoore, Chris
The energy transition is a key challenge and opportunity for the transport sector. In this context, the adoption of electric vehicles (EVs) is emerging as a key solution to reduce environmental impact and mitigate problems related to traditional energy sources. One of the biggest problems related to electric mobility is the limited driving range it offers compared to the time needed for recharging, leading to what’s commonly known as “range anxiety” among users. Significant part of the energy consumption of an electric vehicle is represented by the management of the HVAC system, which aim is to ensure the achievement and maintenance of thermal comfort conditions for the occupants of the vehicle. Currently the HVAC control logics are based on the pursuing of specific cabin setpoint temperature, which does not always guarantee the thermal comfort; more advanced human-based control logics allow to attain the thermal comfort in a zone around the subjects, as known as “heat bubble”, rather than acclimatizing the entire cabin, increasing the system efficiency and often reducing the thermal demand. It is therefore useful to develop a dynamic model that predicts and monitors the evolution of comfort parameters during the vehicle usage. This study proposes to develop a simplified thermal model of the cabin system of a light duty commercial vehicle based on experimental data and numerical simulations, which is able to locally estimate the parameters of thermo-hygrometric comfort, and therefore allows a targeted management of the HVAC system with consequent energy optimization. First the cabin of a commercial BEV has been acquired and processed through reverse engineering techniques (3D scanning) in order to create the 3D CAD model; consequently, a CFD analysis based digital twin has been developed and validated with experimental data in different temperature conditions. Then the cabin system has been modeled with a neural network trained with results of CFD simulations, in order to replicate temperature behavior in the areas of interest. The purpose of this modelling is to provide a starting point for the development of a reduced order model (ROM) that can be the basis of the development of advanced control logics to be integrated into the vehicle’s on-board computer system. Results show a good agreement between the CFD and simplified model (normalized Root Mean Square Error always below 0.29) and fast execution time (0.7 s on an 8 cores Intel i7 - 9700 processor) confirming the suitability of the approach for the proposed application.
Bartolucci, LorenzoCennamo, EdoardoCordiner, StefanoDonnini, MarcoFrezza, DavideGrattarola, FedericoMulone, VincenzoAimo Boot, MarcoGiraudo, Gabriele
Solar panels are an increasingly popular way to generate electricity from the sun’s energy. Although humans are still figuring out how to reliably turn that energy into fuel, plants have been doing it for eons through photosynthesis. Now, a team reporting in ACS Engineering Au has mimicked the process to produce methane, an energy-dense fuel, from carbon dioxide, water and sunlight. Their prototype system could help pave the way toward replacing nonrenewable fossil fuels.
Rooftop solar panels will soon power about 90% of PFG's Gilroy, California, operations, the starting point for cold food deliveries. The vehicles getting the various edibles and food-related products from the warehouse to restaurants, schools, hotels and other customers include new battery-electric Class 8 trucks that mate to trailers fitted with zero-emission transport refrigeration units (TRUs). “Our Gilroy, California, location is the pilot for how we intend to develop sustainable distribution centers,” said Jeff Williamson, senior vice president of operations for Richmond, Virginia-headquartered Performance Food Group (PFG). Williamson and others were recently interviewed by Truck & Off-Highway Engineering following an Earth Day open house at the Gilroy site.
Buchholz, Kami
Bringing a construction project from planning on the page to execution in the real world is replete with challenges. Whether a company is building a sprawling solar farm or laying lines on the road, precision is paramount. Misfires of just a few inches can have massive implications, and that often leads to a plodding layout process. But, in partnership with Point One, Civ Robotics is ensuring that precise construction layouts won’t be at odds with efficiency.
Riding aboard NASA’s Psyche spacecraft, the agency’s Deep Space Optical Communications technology demonstration continues to break records. While the asteroid-bound spacecraft doesn’t rely on optical communications to send data, the new technology has proven that it’s up to the task. After interfacing with the Psyche’s radio frequency transmitter, the laser communications demo sent a copy of engineering data from over 140 million miles (226 million kilometers) away, 1½ times the distance between Earth and the Sun.
Robotics, prostheses that react to touch, and health monitoring are three fields in which scientists are working to develop electronic skin. Researchers have developed a sensor that, similar to human skin, can sense temperature variation that originates from the touch of a warm object as well as the heat from solar radiation. The sensor combines pyroelectric and thermoelectric effects with a nano-optical phenomenon.
Bhutan is a small nation in the eastern Himalayas, between two of the world's largest neighbors and fastest-growing economies; China, and India. The GDP of the country is $2.707 Billion as of 2022. Bhutan’s largest renewable source is hydropower, which has a known potential of 30,000 MW. However, it has only been able to harvest only 1,480 MW (5% of the potential). The current overall electrification rate is 99% overall with 98.4% in rural areas. It exports 75.5% of total electricity generated in the country to India. However, the reliable supply of electricity remains a big challenge. The government is also pushing the use of renewable energy sources like solar and wind to diversify the energy mix and enhance the power security of the country. The share of renewable energy is very minimal at present amounting to 723 kW Solar PV and 600 kW Wind power. Bioenergy in the form of fuel wood, energy crops & crop residues, and cattle dung has great potential in the country as the country’s total energy demand is projected to grow at an average annual rate of 6.5% which is expected to reach 1,550 kilo ton of oil equivalent (KTOE) by 2030 from 725 KTOE in 2017. However, the country continues to use unsustainable use of biomass due to the use of conventional inefficient cook stoves, a lack of local knowledge, and the inability to produce and use modern and efficient biomass systems. The present study attempts to evaluate the challenges and potential suitability of Biomass-based Resources for meeting existing and future energy requirements of the country as it can’t solely depend upon hydro-power due to many vital reasons. The use of biomass resources for energy also fulfills the country’s mandate of not increasing GHG emissions as the country has the rare distinction of being the only carbon-negative country in the world.
Wangchuk, SingyeKumar, Naveen
Shadow positions can be useful in determining the time of day that a photograph was taken and determining the position, size, and orientation of an object casting a shadow in a scene. Astronomical equations can predict the location of the sun relative to the earth, and therefore the position of shadows cast by objects, based on the location’s latitude and longitude as well as the date and time. 3D computer software have begun to include these calculations as a part of their built-in sun systems. In this paper, the authors examine the sun system in the 3D modeling software Blender to determine its accuracy for use in accident reconstruction. A parking lot was scanned using Faro LiDAR scanner to create a point cloud of the environment. A camera was then set up on a tripod at the environment and photographs were taken at various times throughout the day from the same location in the environment. This environment was then 3D modeled in Blender based on the point cloud, and the sun system in Blender was set up using the date and time of the photographs. The photographs from the environment were then undistorted and aligned to the 3D environment using photogrammetry techniques, and images were rendered in the same positions to compare the shadows in Blender’s Cycles render engine to the photographs. Through this process, the authors determined that Blender’s sun system recreates the sun position adequately, and can be used to accurately determine the location and dimensions of shadows cast by objects of known dimensions and location.
Barreiro, EvanCarter, NealHashemian, Alireza
Determining occupant kinematics in a vehicle crash is essential when understanding injury mechanisms and assessing restraint performance. Identifying contact marks is key to the process. This study was conducted to assess the ability to photodocument the various fluids on different vehicle interior component types and colors with and without the use of ultraviolet (UV) lights. Biological (blood, saliva, sweat and skin), consumable and chemical fluids were applied to vehicle interior components, such as seatbelt webbing, seat and airbag fabrics, roof liner and leather steering wheel. The samples were photodocumented with natural light and UV light (365 nm) exposure immediately after surface application and again 14 days later. The review of the photos indicated that fabric type and color were important factors. The fluids deposits were better visualized on non-porous than porous materials. For example, blood was better documented on curtain airbags than side or driver airbags. Blood and chemical fluids were more difficult to document on black than beige seatbelt webbing, while skin showed better on black webbing. Biological fluids were better detected with UV light. The visual presentation did not change substantially between initial and follow-up documentation with and without UV light. Fluids and components with luminescent properties were also factors. This study provides a photodocumentation summary of biological and other fluids on vehicle interior components. In conclusion, UV light exposure was helpful in highlighting some fluid deposits during crash investigation. While UV illumination provided additional insight, further investigation is necessary to discriminate and differentiate fluids present.
Boysen, KevinParenteau, ChantalToomey, DanielGregg, Richard H.
Perovskite solar cells should be subjected to a combination of stress tests simultaneously to best predict how they will function outdoors, according to researchers at the U.S. Department of Energy’s National Renewable Energy Laboratory (NREL).
Solar energy, which has always been at the forefront, has discovered numerous uses in a variety of fields. One of the key targets of scientists and producers in the twenty-first decade is sustainable solar energy collecting. The maximization of solar energy is totally dependent on the radiation absorbed by the photovoltaic panels. Radiation is observed using numerous equipment and calculated using diverse methods. If the device is to be totally reliant on solar energy, it must be calculated far ahead. It is difficult to work because solar radiation is affected by various factors, including region as well as seasonality. In forecast scenarios, Artificial Neural Networks (ANN) is a popular approach among scientists. Therefore, this research provides a technique for estimating solar radiation that makes use of back-propagation algorithms. The data of 17 stations in Tamil Nadu, India, were acquired for analysis and split into three clusters: training, validation, and testing. This research is focused on nine input variables and one outcome variable. Solar radiation is estimated via feed-forward back-propagation in this case. The presented approach is ascertained for training techniques such as Levenberg Marquardt (LM), Bayesian-Regularization (BR), as well as Scaled Conjugate Gradient (SCG). In all three scenarios, the resulting statistical error values and regression values prove the adequacy of the presented approach. The Root Mean Square Error (RMSE) for the BR approach is found to be the lowest, with a value of 0.0013. Also, from all statistical error and regression values, the training approach BR produces the best value than LM and SCG training approaches.
Bhuvaneswari, M.Prasanna Kumar, T. J.Gobikrishnan, U.Rajesh, S.Antony Prabu, D.Seenivasan, Madhankumar
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