Solar System Research Articles

Assessing Yield Disparities: Anticipated versus Optimal Rooftop Photovoltaic Systems and Implications for Prosumer Viability

Solar photovoltaics, especially rooftop systems also called distributed solar photovoltaics, are crucial in the ongoing energy transition. Modeling these systems is vital to understanding their role in a decentralized energy system. While ground‐mounted photovoltaic power plants are easier to model, generalizing yield profiles for rooftop systems is challenging. This study aims to estimate yield loss effects for rooftop solar photovoltaic systems compared to optimized ground‐mounted systems. Anticipated yield losses are 18% for residential, 7% for commercial, and 4% for industrial rooftop systems. The impact on residential prosumers’ viability is assessed by comparing prosumer system optimization results with and without yield losses. Results show a non‐uniform change in installed solar photovoltaic and battery capacities, with a tendency to compensate for reduced yields by increasing photovoltaic capacity by up to 20%, given favorable cost prospects by 2050. The annualized total cost of energy for prosumer households could therefore increase by up to 20% by 2050. Despite yield reductions, installing a solar photovoltaic prosumer system remains more favorable than relying entirely on‐grid electricity. This study highlights the importance of considering yield losses in rooftop solar photovoltaics and the significant role of prosumers despite identified yield losses.

Solar Cells: Applications and Current Opinion

Due to the manufacturing process, silicon-based solar cells have conquered the marketplace, but their cost is not economic. As a result, thin-film manufacturing was done with low-cost, appealing materials generated using less expensive, scalable, and manufacturable procedures. The motivation behind this work is to develop low-cost, high-efficiency solar cells using chemical and electrochemical techniques. Thin film solar cell structure could be presented as glass, Cu structure, CdS window material, TCO, and CdTe absorber material. The absorber and window materials include layers such as CdS and CdTe, while Cu and TCO are the back and front contacts. By using CSS and chemical bath deposition (CBD), The usual method of making this structure is to grow window (CdS) and absorber (CdTe) materials. CBD is a batch method that generates enormous quantities of Cd-containing waste solutions each time, adding to the production process's high cost. Sputtering or PVD, including high vacuum conditions, is performed with back and front contacts. This research program focuses on developing an "all chemical-solar cell" structure. This study showed that CdS and CdTe materials may be employed and electrodeposited in thin-film solar cell systems, CBD and electroless techniques. Furthermore, the back and front contacts can be coated using the CdS electrolytic bath, which is utilized for seven months without being discarded, but the CBD bath lasts 2-3 days. The deposition rate of the thin films was about 50 - 100 times greater than reported values in the literature. The efficiency of the manufactured cells was between 1 and 6%, which was reduced by the duration of time. Twenty days after manufacturing a TCO, CdS, CdTe, the short-circuit current, Cu-Ag solar cell, and open-circuit voltage deposited by all chemical and electrochemical deposition techniques were 0.8 mA/cm2 and 8.8 mV, respectively. However, consistency and reproducibility remain unresolved. The growth of CdTe nanocrystalline thin film is one of the reasons it has been identified as having nanosized tracks. High-quality CdTe layers should be developed, or in cadmium solar cells, its layered structure is the form of a cadmium window and a zinc oxide buffer layer to increase the consistency of the solar cell efficiency.

Depth profiling of implanted D in silicates: Contribution of solar wind protons to water in the Moon and terrestrial planets

The solar wind protons implanted in silicate material and combined with oxygen are considered crucial for forming OH/H O on the Moon and other airless bodies. This process may also have contributed to hydrogen delivery to planetary interiors through the accretion of micrometre-sized dust and planetesimals during early stages of the Solar System. This paper experimentally investigates the depth distribution of solar wind protons in silicate materials and explores the mechanisms that influence this profile. We simulated solar wind irradiation by implanting 3 keV D ions in three typical silicates (olivine, pyroxene, and plagioclase) at a fluence of sim 1.4 × 10 ions/cm . Fourier transform infrared spectroscopy was used to analyse chemical bond changes, while transmission electron microscopy (TEM) characterised microstructural modifications. Nanoscale secondary ion mass spectrometry (NanoSIMS) was employed to measure the D/ O ratio and determine the depth distribution of implanted deuterium. The newly produced OD band (at 2400–2800 cm –1 ) in the infrared spectrum reveals the formation of O–D bonds in the irradiated silicates. The TEM and NanoSIMS results suggest that over 73<!PCT!> of the implanted D accumulated in fully amorphous rims with a depth of 70 nm, while 25<!PCT!> extended inwards to sim 190 nanometres, resulting in partial amorphisation. The distribution of these deuterium particles is governed by the collision processes of the implanted particles, which involve factors such as initial energy loss, cascade collisions, and channelling effects. Furthermore, up to 2<!PCT!> of the total implanted D penetrated the intact lattice via diffusion, reaching depths ranging from hundreds of nanometres to several micrometres. Our results suggest that implanted solar wind protons can be retained in silicate interiors, which may significantly affect the hydrogen isotopic composition in extraterrestrial samples and imply an important source of hydrogen during the formation of terrestrial planets.

Enriched photocatalytic degradation of methylene orange dye using carbon quantum dots surface-decorated TiO2 nanocomposites

Complex molecules in methylene orange (MO) dye-contaminated water are carcinogenic and mutagenic risks to human health. Carbon quantum dot surface-decorated titanium dioxide nanocomposites (CQD-TiO2 NCs) were synthesized via a sustainable hydrothermal method at concentrations of 1.5–3 mL. These NCs exhibits superior electron transfer, light harvesting capabilities, high stability, easy modification, optical characteristics, and photocatalytic properties. The surface morphology, porosity, physiochemical, and optical features of these CQD-TiO2 NCs were characterized using TEM, UV–Vis, PL, BET, BJH micromeritics, pHzpc, and photoelectrochemical measurements. The prepared NCs were evaluated against the photocatalytic degradation of MO dye molecules using a solar simulator system. The TEM revealed ultra-sensitive and tiny CQD materials with graphite phases ranging from 5 to 10 nm and attached to the octahedron surface of TiO2 NCs. The PL analysis observed three distinct emission peaks in the visible region, attributed to the near band edge, interstitial (Tii), and oxygen vacancy (V0). The BET and BJH analyses were conducted to determine the N2 adsorption-desorption surface area and mesoporous structure with pore sizes ranging from 2 to 50 nm. These NCs showed excellent photocatalytic performance, effectively degrading MO up to 99.00 % in a 3 mL variation, indicating that they could be a great candidate for photocatalytic purification of wastewater containing MO dyes.

Impacts of Solar Home Systems in Rural Areas: A Case Study in Bangladesh

Access to electricity is important for development in general, but access at low costs is a vital tool of economic and social development, especially for those locations that lie very far from the grid. The present study investigates the impacts of solar home systems in a rural area of Bangladesh, focusing on the ways in which the adoption of SHS transforms household livelihoods. It has improved the lives of the community members through an affordable and reliable source of electricity that allowed enhanced lighting and security, increased educational opportunities, empowerment of women, reduced reliance on harmful energy sources, increased economic productivity, environmental sustainability, human relationships and well-being. These studies emphatically underscore the fact that the biggest challenge remains affordability: in most instances, SHS is accessed through family savings or loans from NGOs. In spite of these barriers, SHS has conventionally been portrayed as an empowering tool that enhances the quality of life and aids in fulfilling the goals of sustainable development in rural areas. The paper concludes by relating conventional energy sources with a comparison, emphasizing broader benefits and possible long-term potentials for SHS in tackling energy poverty within rural Bangladesh.

Numerical investigation of heat and mass transfer of SWCNT/MWCNT‐water suspension over a porous stretching sheet using Sisko fluid model

AbstractThis study presents a comprehensive numerical computation of heat‐mass transfer characteristics of single‐walled carbon nanotube (SWCNT)/multi‐walled carbon nanotube (MWCNT)‐water suspension flow over a porous stretching sheet with an inclined magnetic field. The governing equations for fluid flow characteristics are formulated using the Sisko fluid model to capture the Newtonian and non‐Newtonian behavior of the nanotube‐water mixture. The nonlinear coupled partial differential equations are converted into nonlinear dimensionless coupled ordinary differential equations using suitable similarity transformations. These equations are solved using MATLAB by implementing the four‐stage Lobatto IIIa formula. The comprehensive set of computations is performed to explore the influence of pertinent parameters, including Sisko fluid parameters, concentration of nanotubes, stretching sheet velocity, and porous medium characteristics on the flow, heat, and mass transfer profiles. From the graphs and statistical analysis, it is clear that the volume fraction of SWCNT and MWCNTs are strongly correlated. The investigation reveals that increasing the inclination angle affects the fluid velocity. The variation in all flow features is negligible for volume fractions of CNTs between 0% and 10% but a significant effect is observed only beyond 10%. Higher volume fractions of CNTs result in enhanced local heat transfer coefficient. This can be attributed due to the outstanding heat transfer capabilities of CNTs owing to their high thermal conductivity. However, Shear thickening fluids exhibit high heat transfer phenomena when compared to shear‐thinning and Newtonian fluids. This research provides valuable insights into the optimization of CNT‐based nanofluids for efficient heat and mass transfer applications in electronics cooling, heat exchangers, and solar energy systems, offering opportunities to enhance energy efficiency and device performance.

Decoding Bennu: Understanding the solar system and life’s origins

The OSIRIS-REx mission to an asteroid named Bennu collected a sample of its regolith—loose material on the surface of an asteroid—and returned to Earth in September 2023. The successful return and initial research on the sample revealed much data about the elemental composition of Bennu’s regolith. The findings offer new insights into the fundamental building blocks of life, potentially revolutionizing our understanding of life and our solar system. The sample contained organic compounds, key to the origin of life, and also elements like iron and magnesium in abundance. Mineral analysis showed the presence of water-rich minerals, a key factor in understanding the origins of our oceans. Analysis of the data helps further the understanding of the origin of our oceans. By understanding the composition of asteroids like Bennu that trace their origins to the early solar system, we can understand the conditions prevalent in those times. And most importantly, understanding the composition of Bennu also gives us key insights into the origin of life because of the discovery of organic compounds in the regolith. Gathering asteroid samples holds much importance in expanding our knowledge in multiple fields and in shedding on many unanswered questions regarding the origin of life, origin of oceans and understanding of the early solar system.

Assessing the Socio-Economic Impacts of Solar Home Systems on Chingad, Surkhet

This study assesses the multifaceted socio-economic impacts of Solar Home Systems (SHS) on the remote community of Chingad, Surkhet. Employing a comprehensive research framework, we investigate the extent to which the adoption of SHS has influenced the livelihoods, economic activities, and social dynamics within the community. Through a combination of quantitative and qualitative methodologies, we analyzed the economic benefits, social empowerment, and environmental sustainability associated with the integration of solar energy. The limitations of the study included its focus on Chindgad-5, Surkhet. This research employed a descriptive-analytic approach within an exploratory research design. In the study area, a total of 386 households were included, with 188 utilizing solar energy in December 2023 AD from field observation. The research focused on a subset of 36 purposely selected solar home system users. Energy consumption patterns varied among ethnic groups and social classes, and universal electricity access was not observed in the study area. The study integrated both descriptive and exploratory elements to comprehensively address its objectives, utilizing a combination of primary and secondary data. For policymakers, development professionals, and other stakeholders engaged in sustainable energy projects in similar circumstances, the findings offer insightful information about the complex relationships that are present between solar technology and the local socioeconomic fabric. The study provides valuable insights for policymakers, energy planners, and development organizations working towards sustainable and inclusive energy solutions in rural Nepal. The successful integration of SHS not only addresses energy needs but also contributes to economic development and improved living conditions in off-grid communities.

An effective sizing study on PV-wind-battery hybrid renewable energy systems

Hybrid renewable energy system is the effective and efficient way of energy harvesting in remote or isolated areas having the advantage of harnessing of multiple renewable sources at a time. Solar, wind and battery-based hybrid system is one of the most promising alternatives in this field. Sizing of the system components depend on various technical and economical specifications. The research studied the effect of solar panel tilt angle and wind turbine hub height on sizing optimization of PV wind battery-based hybrid renewable energy system using HOMER software. Through empirical method, an optimal monthly, seasonal, yearly optimal tilt angle and wind turbine hub height have been computed. These values are used in addition with various other technical and economical specifications in order to determine the optimal sizing of hybrid system. At first, three different scenarios have been considered for the study of yearly, seasonal, and monthly optimal tilt angle with an optimized hub height for the wind turbine. Then, a comparative analysis of the sizing of hybrid system at unoptimized and optimized tilt angle and hub height have also been done. Furthermore, a detailed comparative and sensitivity analysis have also been performed across different scenarios and approaches. A detailed financial study for policy planning and implementation issues with other, traditional state of the art approaches significantly demonstrates the effectiveness of the proposed method for optimal sizing of the hybrid system.

Performance Improvement of an Integrated Collector Storage Solar Water Heater by Using an Additional Glass Cover: A Numerical Study

This paper describes the analysis of a solar storage water heating system, emphasizing its cost-effectiveness and integrated design. The study employs numerical analysis to assess and optimize the performance of a rectangular solar collector with an added glass cover and an internal horizontal barrier. Using COMSOL software, a three-dimensional modeling study was conducted in the Kufa-Najaf climate on May 9th. The analysis focused on fundamental convection equations governing mass, momentum, and energy conservation. Temperature and velocity distributions were obtained at 13:30 PM, revealing a peak storage water temperature of 56.3 °C. The additional glass cover-barrier storage collector, set at a 60° angle, exhibited the highest stored energy at 2065.6 W, surpassing the conventional storage collector at 1007.06 W. Furthermore, the model demonstrated an increased instantaneous efficiency of 58.3%, compared to 28.4% for the conventional collector. The simulation results align well with previous findings, showing a maximum mean absolute percent error (MAE) of 4.5%.

On-Grid Hybrid Wind–Solar Power Plants in Ukraine’s Residential Sector: Economic Justification of Installation Under Different Support Schemes

On-grid hybrid wind–solar systems are one of the best sustainable solutions for developing distributed generation, as they can provide a stable and reliable electricity supply, effectively using the potential of the two most common renewable energy resources. In Ukraine, promoting the development of on-grid hybrid wind–solar power plants takes on particular importance under conditions of electricity shortages caused by the large-scale destruction of the energy infrastructure due to the ongoing hostilities. This article examines the economic efficiency of installing such power plants in the residential sector of Ukraine under different state support schemes. This study was conducted for on-grid hybrid wind–solar systems of various configurations and installed capacities with different equity and debt capital proportions involved in implementing investment projects. This study’s results highlight the economic efficiency of the feed-in tariff compared to the net billing for households investing in such facilities and emphasize the need to improve policy measures to increase their investment attractiveness.

Preparation and thermal stability research of oxalic acid dihydrate-glutaric acid/PAMPS phase change gel for solar thermal energy utilization

Thermal energy storage technology based on phase change materials (PCMs) can address the temporal and spatial mismatches in solar thermal energy conversion, thereby enhancing solar energy utilization efficiency. However, the liquid flow and poor thermal reliability of PCMs limit their large-scale application in solar thermal systems. In this study, we employ a simple “one-pot method” to prepare a form-stable and thermally reliable oxalic acid dihydrate-glutaric acid/poly 2-Acrylamido-2-methyl-1-propanesulfonic acid (OAD-GA/PAMPS) phase change gel. The OAD-GA/PAMPS phase change gel melts at 64.5 °C with a phase change enthalpy of 193.6 kJ/kg, the tensile strength is 7.707 MPa, and the compressive strength is 16.940 MPa. By incorporating 5 wt% BN particles, the thermal conductivity of OAD-GA/PAMPS phase change gel reaches 0.63 W/(m·K). After 200 heating-cooling cycles, the phase change temperature of the OAD-GA/PAMPS phase change gel remains nearly unchanged, and the phase change enthalpy decreases by only 5.7 %. The photo-thermal conversion efficiency of the OAD-GA/PAMPS phase change gel is 82.7 %. The high thermal reliability and photo-thermal conversion efficiency of the OAD-GA/PAMPS phase change gel makes it suitable for solar thermal energy storage applications.

Improving maximum power point tracking efficiency in solar photovoltaic systems using super‐twisting algorithm and grey wolf optimizer

AbstractThis study presents a new Maximum Power Point Tracking (MPPT) approach for solar photovoltaic (PV) systems, combining the Super‐Twisting Algorithm (STA) and Grey Wolf Optimizer (GWO). The STA‐GWO‐MPPT method improves efficiency in dynamic conditions by using STA for control and GWO for parameter optimization, enhancing stability and robustness. Performance evaluation is conducted through MATLAB/Simulink simulations and experimental validation on a small‐scale test bench. Various quantitative metrics, including rise time, settling time, power production, efficiency, root mean square error (RMSE), and standard deviation (STD), are employed for assessment. Results indicate significantly faster convergence speeds for the proposed method compared to conventional MPPT techniques. Specifically, the rise time for the proposed method is 0.0129 seconds, outperforming Fuzzy Logic Control (FLC) (0.2638 seconds) and Grey Wolf Optimizer with Sliding Mode Control (GWO‐SMC) (0.0181 seconds). Additionally, the proposed method exhibits superior tracking efficiency, with an average efficiency of 99.33%, surpassing FLC (96.93%) and GWO‐SMC (99.19%). Moreover, it reduces power fluctuations, with an RMSE of 7.819% and STD of 6.547%, compared to FLC (RMSE: 13.471%, STD: 4.519%) and GWO‐SMC (RMSE: 8.507%, STD: 6.108%). Overall, this study contributes valuable insights into enhancing MPPT efficiency in solar PV systems, with implications for both research and practical applications.

Power quality enhancement of grid-integrated solar photovoltaic system with unified power quality conditioner

Introduction. To enhance the quality of power and ensure a consistent electricity supply, this study proposes the utilization of a unified power quality conditioner (UPQC) system integrated with solar photovoltaic (PV) technology. The innovation involves single DC-link connecting back-to-back voltage-compensating components arranged in series and shunt, forming the PV-UPQC. The shunt compensator utilizes energy from a PV array to address harmonics in the load current. The objective is to mitigate voltage dips and spikes by injecting voltage that is either in phase with or out of phase with the common coupling point through a series compensator. The method combines the benefits of generating renewable energy to enhance electrical quality. The goal of the paper is the power quality enhancement of grid-integrated solar PV system. The novelty of the proposed work consists of enhancement of grid-integrated solar PV system with UPQC. The purpose of integrating a UPQC into a grid-connected solar PV system is to enhance power quality by mitigating issues such as voltage fluctuations, harmonics and reactive power imbalance. Methods. The proposed topology is implemented in MATLAB/Simulink with grid-integrated solar PV system with UPQC. Results. Integrating UPQC with a grid-connected solar PV system yields substantial improvements in power quality. This includes effectively mitigating voltage fluctuations and harmonics, resulting in smoother operation and reduced disturbances on the grid. Practical value. The proposed topology has proven to be extremely useful for grid-integrated solar PV system with UPQC applications. References 15, table 2, figures 9.

Output power analysis of low concentrated solar cells with fresnel lens optics

In this work, we introduce a П-shaped LCPV which works with a simple single-axis solar tracking system. The simulation of the П-shaped LCPV was made on COMSOL Multiphysics and output power of the LCPV was modeled and compared with other PV, LCPV systems using predicted optical efficiency at different incidence angles by regression methods such as XGBoost regression, Linear Regression, Support Vector Regression, Decision Tree Regression, Random Forest Regression. The most effective one was XGBoost regression with accuracy of 91.23931 %. The П-shaped LCPV generates 2.2 times more energy than the fixed nine-solar cell panel per a day. Using nine solar cells and the designed optics allows the system to operate well at wider incidence angles using a single-axis solar tracking system which rotates the system only 4 times a day. The П-shaped LCPV is less complex and cheaper than an ordinary Fresnel lens-based LCPV.

Optical Fiber Technology for Efficient Daylighting and Thermal Control: A Sustainable Approach for Buildings

Different direct solar harvesting systems for daylighting are being explored to achieve high uniform illumination deep within buildings at minimal cost. A promising solution to make these systems cost-effective is the use of plastic optical fibers (POFs). However, heat-related issues with low-cost POFs need to be addressed for the widespread adoption of efficient daylighting technologies. Previous studies have explored solutions for this overheating problem, but their effectiveness remains uncertain. This study proposes a low-cost fiber optic daylighting system integrated with a newly patented mechanical component designed to secure the fiber optic bundle at the focal point, providing three levels of heat filtration while ensuring uniform illumination. Our methodology involves selecting a small area, installing the setup, and measuring both heat and light readings, followed by validation through software simulations. The operational principle of this technology is explained, and experimental tests using lux meters and infrared thermometers were conducted to investigate the system’s characteristics. The three-level heat filtration device reduces temperature by approximately 35 °C at the surface of the optical fiber, and the average illumination of the room is around 400 lux. These results were further verified using RELUX simulation software. The findings demonstrate the promising potential of this new device in solar heat filtration and achieving uniform illumination. Recommendations for mitigating overheating damage and exploring heat filtering possibilities in new parabolic solar daylighting systems for further research are also provided.

Environmental and Socio-Economic Impact Assessment of Renewable Energy Using Machine Learning Models

Renewable energy sources, such as solar, hydro, wind, and geothermal energy, have emerged as key alternatives to fossil fuels in combating climate change and addressing energy security concerns in the USA and ad worldwide. Strategic use of this renewable resource is important not only for carbon emission reduction and improvement of environmental sustainability but also for maintaining future energy supplies. At the same time, such transition raises thorough assessments of environmental and socio-economic impacts. Machine learning (ML) models offer a powerful tool for predicting and analyzing such impacts, allowing for more efficient decision-making and long-term planning. These models are supposed to analyze patterns in energy production, land use, and emissions to make a more dynamic and predictive understanding of how renewable energy adoption influences CO2 levels. The principal aim of this research project was to develop and curate machine learning algorithms for predicting CO2 emissions based on renewable energy data, using the knowledge to better understand how solar, wind, hydro, and geothermal energy systems affect environmental outcomes. The predictive models developed in this research would serve as useful tools for the policymakers and major stakeholders in decision-making on investments in energy infrastructure and characterization of regulatory frameworks. These datasets for this research project were retrieved from several prominent institutions, including governmental agencies, international organizations such as the International Energy Agency-IEA and the World Bank, satellite data repositories, and USA environmental monitoring agencies. For this research project, 3 machine learning algorithms in the experiment were used, namely Logistic Regression, XG-Boost, and Random Forest. Amongst these three, the linear regression model gave the best performance, as it had the least MSE; indicating that its predictive capability was impressive. The comparative analysis of renewable energy projects in Germany, China, and California underlines that effective policy-making plays a very decisive role in the transition toward sustainable energy.

Solar-powered modern poultry farm: a case study BAYAT complex Ouargla, Algeria

Energy consumption in poultry farming systems has a direct impact on the thermoregulation of the chickens, the ventilation of the house, and the quality of the air to provide a suitable indoor environment for chicken health. This makes the poultry industry an energy-intensive sector, with gas and electricity as major expenses. Therefore, the integration of solar photovoltaic systems can enhance energy saving in poultry farming, and reduce the emission of greenhouse gases. Accordingly, this study conducts thermal analysis to predict heat losses in winter and heat gains in summer according to the method described in the Regulatory Technical Documents (DTR). Our industrial poultry farm is the BAYAT Complex located in the Wilaya of Ouargla. The results obtained show that the total heating power is about 117.67 kW for a livestock building of 120x14 m² area containing 16000 chickens, while the cooling power for the same building is 553.92 kW. In the case of heating, the greatest heat loss comes from losses by transmission, about 88%. In the case of cooling, the internal thermal contributions represent 81% of that which enters through the structure of the building, of which 40% are latent internal contributions while 41% are sensitive.

Power quality improvement of grid‐connected solar power plant systems using a novel fractional order proportional integral derivative controller technique

AbstractRecently, there has been a push to integrate renewable energy system (RES) into grid‐connected load system in enhancing reliability and reducing losses. However, integrating these systems introduces power quality (PQ) issues, especially with non‐linear, critical, and imbalanced loads. Addressing this, a hybrid mantis search‐reptile search algorithm (HMS‐RSA) combined with a unified power quality conditioner (UPQC) to mitigate PQ problems related to current and voltages in RES systems. In other words, the UPQC, enhanced by fractional order proportional integral derivative controller parameters tuned using the proposed HMS‐RSA assists in enhancing the power quality. The approach has been validated by connecting a non‐linear load to the system, which typically creates PQ issues. The proposed method is implemented in MATLAB/Simulink and their performance is analysed in three scenarios, such as sag, swell, and disturbance, and the total harmonic distortion is evaluated to quantify improvements in PQ. Finally, the proposed method is compared with existing approaches, such as ant colony optimization (ACO), artificial bee colony optimization (ABC), and bacterial foraging optimization (BFO). The method also outperforms ACO, ABC, and BFO in terms of convergence speed and effectiveness in mitigating PQ issues.

A 650-Myr history of Earth's axial precession frequency and the evolution of the Earth-Moon system derived from cyclostratigraphy.

The preservation of Milankovitch cycles in the stratigraphic record provides independent geological information to study our ancient solar system and can be leveraged to constrain existing theoretical models. Here, we identify 34 high-quality cyclostratigraphic records spanning the past 650 million years and use them to infer the evolution of the Earth-Moon system through a Bayesian inversion method. We reconstruct the time evolution of Earth's axial precession frequency, lunar distance, length of day, and the periods of obliquity and climatic precession cycles. The results indicate an interval of high tidal energy dissipation in the Earth-Moon system at ~300 to 200 million years ago, and are broadly consistent with an independently calculated tidal evolution model. Our results provide an improved determination of the past periods of obliquity and climatic precession for astrochronology applications and yield important constraints on the history of tidal energy dissipation during the Phanerozoic Eon.