Renewal Rate Research Articles

The state of the Russian agricultural machinery market under sanction pressure conditions

The article is devoted to assessing the development of the Russian market of agricultural machinery (AHT) over the past 10 years. An analysis of the production of the main types of agricultural products, market dynamics, changes in market structure, volumes of purchases by agricultural producers, and the presence of agricultural products in Russian agriculture are presented. For a comparative analysis of the agricultural tractors being sold, their main technical and economic indicators are presented. Calculations were made of the main operational properties (performance, fuel consumption) of tractors of similar traction classes of the Belarus family and Chinese-made tractors presented on the Russian market. Based on correlation analysis, the relationship and direction of indicators were verified: renewal rates, retirement rates and the availability of a fleet of agricultural machinery; acquisition of agricultural equipment and renewal and disposal rates; acquisition of agricultural equipment and availability of agricultural machinery in agricultural organizations. Quite a strong relationship between the indicators: “purchase of agricultural products” and “availability in agricultural organizations” (correlation coefficient r = 0.676 — 0.99), a significant relationship between the indicators: “retirement rate” and “availability of combine harvesters” (correlation coefficient r = from — 0.588 to -0.664), “purchase of tractors” and “disposal coefficient” — r = –0.445, there is practically no relationship between the indicators: “purchase of tractors” and “availability of tractors” — r = –0.06, “renewal coefficient” and “availability grain harvesters” — r = -0.183, “purchase of forage harvesters” and “disposal rate” — r = –0.187. When analyzing the performance properties determined in this study, it was revealed that Chinese tractors presented on the agricultural machinery market will provide significant competition to tractors of the Belarus family.

Performance analysis of hybrid off-grid renewable energy systems for sustainable rural electrification

Delivering sustainable power to rural communities in sub-Saharan Africa, particularly in Somalia, where many areas are far from the electrical grid and suffer from energy shortages, necessitates the deployment of appropriate technologies. This study evaluates the techno-economic and environmental viability of a hybrid renewable energy system (HRES) comprising a 15 kWp photovoltaic (PV) generator, 10 kW wind turbine (WT), 25 kW diesel generator (DG), and a 72-kWh battery energy storage system (BESS). The HRES is proposed to supply sustainable power to a rural community in Somalia. The techno-economic assessment of the proposed HRES and a comparative analysis of other configurations—namely the PV/WT/BESS and PV/DG/BESS systems is conducted using HOMER and MATLAB software. The results indicate that the proposed PV/WT/DG/BESS HRES demonstrates superior techno-economic performance compared to the other configurations. The lowest net present cost of $96,899.16 and the levelized cost of energy (LCOE) of $0.090/kWh were achieved. This system attains 25 % excess electricity, maintains a 0 % unmet electric load, and demonstrates robust environmental performance with a renewable penetration rate of 91.8 %. Approximately 53.34 % of greenhouse gas emissions are reduced compared to the PV/DG/BESS configuration. The study confirmed the significant impacts of all sensitivity parameters on operational costs, LCOE, fuel prices, fuel intake, and renewable fraction. The overall results indicate superior performance in the optimal system case, offering a feasible and suitable choice for the sustainable electrification of rural communities.

Modelling of Indoor Air Quality and Thermal Comfort in Passive Buildings Subjected to External Warm Climate Conditions

Air renewal rate is an important parameter for both indoor air quality and thermal comfort. However, to improve indoor thermal comfort, the air renewal rate to be used, in general, will depend on the outdoor air temperature values. This article presents the modelling of indoor air quality and thermal comfort for occupants of a passive building subject to a climate with warm conditions. The ventilation and shading strategies implemented for the interior spaces are then considered, as well as the use of an underground space for storing cooled air. The indoor air quality is evaluated using the carbon dioxide concentration, and thermal comfort is evaluated using the Predicted Mean Vote index. The geometry of the passive building, with complex topology, is generated using a numerical model. The simulation is performed by Building Thermal Response software, considering the building’s geometry and materials, ventilation, and occupancy, among others. The building studied is a circular auditorium. The auditorium is divided into four semi-circular auditoriums and a central circular space, with vertical glazed windows and horizontal shading devices on its entire outer surface. Typical summer conditions existing in a Mediterranean-type environment were considered. In this work, two cases were simulated: in Case 1, the occupation is verified in the central space and the four semi-circular auditoriums and all spaces are considered as one; in Case 2, the occupation is verified only in each semi-circular auditorium and each one works independently. For both cases, three strategies were applied: A, without shading and geothermal devices; B, with a geothermal device and without a shading device; and C, with both shading and geothermal devices. The airflow rate contributes to improving indoor air quality throughout the day and thermal comfort for occupants, especially in the morning. The geothermal and shading devices improve the thermal comfort level, mainly in the afternoon.

Hydrological controls of a riparian wetland based on stable isotope data and model simulations.

Isotopic evidence of groundwater and stream water is frequently used to investigate water exchanges with groundwater. Monthly sampling of rain, stream water, and groundwater was conducted at Tims Branch watershed in South Carolina for the oxygen and hydrogen stable isotope (δ2H and δ18O) measurement, as well as pH and oxidation-reduction potential (ORP). Together with a mass balance perspective, it was determined that it takes a few weeks to one month for groundwater in the hyporheic zone to fully exchange with stream water. From hydrodynamic modelling, we show that substantial (up to 70 %) groundwater exchange occurs at gaining and losing sites. Groundwater exfiltration, i.e. inflow into stream water, contributes up to 4 % to stream water, with the remainder from upstream exfiltration. A 2-4 % per day renewal rate of adjacent groundwater would indirectly indicate a groundwater residence time in the order of half a month to a full month (assuming either a well-mixed case or large dispersion rate in pulse flow case), in agreement with a greatly reduced variability of δ2H and δ18O of groundwater compared to stream water and rain. This reduced variability of stable isotope signal from groundwater confirms our hypothesis that riparian groundwater mixing at Tims Branch is more of a mixed type rather than a pulse flow type. A monthly time scale is sufficient for groundwater to become anoxic at exit points into stream water resulting in the episodic production of natural organic matter- and iron-rich flocs upon oxidation.

Gender Disparities in Book Circulation at a Chinese University Library (2012–2022)

The study explores the significance of gender differences in higher education, using book circulation data from Nanjing Normal University libraries between 2012 and 2022. It aims to analyze gender disparities and calculate the mathematical characteristics of gender prediction probability using the ANN model. The time-series ARIMA model also forecasts the average number of books that male and female teachers and teacher candidates are expected to borrow and renew in the next three years. The findings indicate that men tend to be more focused and persistent readers despite women having a more extensive network of book borrowing ties. Male graduate students and faculty members demonstrate significantly greater individual variability in book renewals than their female counterparts. Additionally, the maximum value of book renewals for male graduate students and male faculty members is notably higher than that of female graduate students and female faculty members. Book renewal frequency is a crucial factor in ANN gender prediction. On average, male readers incur higher overdue fines than female readers, and the overdue fines for both genders during the COVID-19 pandemic were considerably higher than usual. The actual monthly average renewal rates in 2022 exhibited significant fluctuations across genders and academic statuses, highlighting the limitations of the ARIMA model and other factors influencing renewal rates.

Comparison analysis of circulating hemocytes in decapod crustaceans

Hemocytes are the primary immune cells of crustaceans. Few comparison studies have been done among different crustaceans and some key parameters of circulating hemocytes have not been investigated. Here, we compared the circulating hemocytes in six decapod crustaceans, Cherax quadrinatus, Procambarus clarkii, Penaeus vannamei, Penaeus monodon, Eriocheir sinensis, and Scylla paramamosain. Although the hemocytes of different species vary in size, they share common morphological characteristics. Based on their morphological features, circulating hemocytes can be basically classified into granular cells (GCs), semi-granular cells (SGCs), and hyaline cells (HCs). In the six decapods analyzed in this study, the proportion of GCs varied from 10 % to 30 %. P. vannamei, P. monodon, and P. clarkii had fewer GCs in circulation than the other three species. Correspondingly, proliferation was detected only in a small portion of cells in P. vannamei, P. monodon, and P. clarkii under physical conditions. The hemocyte renewal rates for P. clarkii, E. sinensis, and C. quadrinatus were 6.1 %, 5.1 %, and 1.5 % per day, while no steady new hemocyte production was found in S. paramamosain within six days. These data give a general picture of the similarities and differences of circulating hemocytes in decapods and provide a base for an in-depth study of their immune system.

Traffic road noise and transportation energy efficiency

Future noise emission limits for passenger car are going to lower levels by 2024 -Social cost of noise for France in 2021, shows clearly that the dominant source of noise pollution is road traffic (81 Bn€ for a total of 146 Bn€) This R51 regulation is meant to lower the noise pollution from road traffic, but when looking closer to the sources and their contributions, in particular the tire/road noise interaction, the environmental efficiency of this regulation is questionable. Tire/Road interaction involves tires characteristics, that are constrained by an array of specification and it has been proven that there is a physical limit to what could be expected from the tire as far as tire/road interaction noise is concerned.Road surface however, shows very wide acoustic characteristics spread : over 15dBA from the quietest to the loudest asphalt, to be compared to 2dBA steps in the regulation and an environmental impact that will depend on the rolling stock renewal rate. This paper will present a new patented method from Renault enabling to assess road acoustic data mapping from a simple drive of a Megane E-Tech, quickly and efficiently, issuing the first ever noise pollution control maps.

Two-stage robust optimization for optimal operation of hybrid hydrogen–electricity storage system considering ladder-type carbon trading

The prominent problems of renewable energy curtailment and its uncertainty have become a hot topic. To the end, with consideration of environmental friendliness, energy utilization efficiency and operation cost, this paper proposes a hybrid hydrogen–electricity storage system (HHES) operation framework comprising assorted types of coupling devices and carbon capture system (CCS) under ladder-type carbon trading (LCT) mechanism. By considering energy balance constraints, equipments’ operation constraints and erratic rates of RESs and multiple loads, a scheduling model with source-load uncertainties is developed with the goal of minimizing the system’s operation cost and carbon emission. Then, a two-stage tri-level robust model is built to find the optimal scheduling plan under multiple uncertainties given the various sources and loads. The first level is to make an optimal dispatch plan and the second level is to find the worst scenario under the given uncertainty set. The third level aims at enhancing renewable energy accommodation rate and reducing load shedding rate in the worst case. Since the model is formed as a tri-level mixed integer optimization problem, the Column and Constraint Generation (CCG) method is adopted to achieve the optimal result. Finally, numerical analyses are performed. The results show that the proposed approach realizes a flexible dispatch of multiple energy and a high utilization level of multiple storages. Furthermore, this paper studies the influence of uncertainty and uncertainty budget parameters with the comparison of the deterministic model and robust models with different uncertainties. The results show that the proposed HHES has strong robustness and can provide a good reference for energy dispatch.

An optimal scheduling strategy for electricity-thermal synergy and complementarity among multi-microgrid based on cooperative games

Multi-microgrid (MMG) systems provide an effective way to convert renewable energy into other forms of energy for low-carbon utilization. However, the coupling of multi-energy and renewable energy brings a challenge to the stable operation and dispatch of the system. Therefore, an electricity-thermal-gas-hydrogen MMG complementary optimization model based on peer-to-peer (P2P) electricity-thermal synergy is proposed. The model focuses on the coupling and conversion of electricity, hydrogen, and thermal through a hydrogen energy storage system (HESS) combined with renewable energy, and incorporates integrated demand response (IDR) and ladder-type carbon trading mechanism (LCTM). Subsequently, based on the cooperative game and the alternating direction multiplier method (ADMM), a multi-energy synergistic and complementary optimal scheduling strategy is proposed, which increases the flexibility of multi-energy sharing. In addition, a revenue allocation optimization strategy that takes into account the fairness and renewable energy consumption rate is proposed to achieve the stability of the alliance system operation. Finally, the simulation results show the effectiveness of the proposed model and strategy, realizing the complementary sharing of regional multi-energy, enabling the expansion of the boundaries of optimal energy allocation, further improving the low-carbon economic operation capability of MMG, and reducing the dependence of the system on the energy market.

Community-based distribution program's response to increased contraceptive demand in the Democratic Republic of Congo during COVID-19.

In the Democratic Republic of Congo (DRC), the United States Agency for International Development (USAID) Integrated Health Program supports the Ministry of Health to strengthen family planning (FP) services through a Community-Based Distribution (CBD) program. As a part of this project, we investigated whether the CBD program responded to the increased need for contraceptives in nine provinces of the DRC during COVID-19 pandemic. Analysis compared distribution rates of contraception methods, uptake by new users, and renewal rates among women before and during the pandemic. Data sourced from women of childbearing age using modern contraceptives through CBD across 179 health zones were analyzed using chi-square tests in MedCalc software to examine proportion differences pre-COVID-19 versus during COVID-19. The CBD program distributed about 348,958 contraceptives during the pandemic, with 18.3% being new users, significantly higher than pre-pandemic levels (14.5%; P < 0.0001). Renewal rates were higher pre-pandemic overall (26.3% vs. 24.6%; P < 0.0001), but urban areas saw increased renewals during COVID-19 compared to before (34.8% vs. 24.1%; P < 0.0001). Despite pandemic-induced healthcare challenges, the CBD program effectively met escalated contraceptive demands. These findings underscore CBD's efficacy in crisis response, offering insights for governments on optimizing CBD services during health emergencies

Early Weaning Inhibits Intestinal Stem Cell Expansion to Disrupt the Intestinal Integrity of Duroc Piglets via Regulating the Keap1/Nrf2 Signaling.

There are different stress resistance among different breeds of pigs. Changes in intestinal stem cells (ISCs) are still unclear among various breeds of piglets after early weaning. In the current study, Taoyuan Black and Duroc piglets were slaughtered at 21 days of age (early weaning day) and 24 days of age (3 days after early weaning) for 10 piglets in each group. The results showed that the rate of ISC-driven epithelial renewal in local Taoyuan Black pigs hardly changed after weaning for 3 days. However, weaning stress significantly reduced the weight of the duodenum and jejunum in Duroc piglets. Meanwhile, the jejunal villus height, tight junction-related proteins (ZO-1, Occludin, and Claudin1), as well as the trans-epithelial electrical resistance (TEER) values, were down-regulated after weaning for 3 days in Duroc piglets. Moreover, compared with Unweaned Duroc piglets, the numbers of Olfm4+ ISC cells, PCNA+ mitotic cells, SOX9+ secretory progenitor cells, and Villin+ absorptive cells in the jejunum were reduced significantly 3 days after weaning. And ex vivo jejunal crypt-derived organoids exhibited growth disadvantages in weaned Duroc piglets. Notably, the Keap1/Nrf2 signaling activities and the expression of HO-1 were significantly depressed in weaned Duroc piglets compared to Unweaned Duroc piglets. Thus, we can conclude that ISCs of Duroc piglets were more sensitive to weaning stress injury than Taoyuan Black piglets, and Keap1/Nrf2 signaling is involved in this process.

Proactive Prevention Strategies for Grid Risk Scenarios Based on Pumped Storage Participation

Given the increasing importance of cascading trip prevention, this study presents the pumped storage characteristics to cooperate with thermal units and further ensure the safety of grid operation. The proposed model comprises two phases: the first phase is the day-ahead decision-making phase, which synergistically optimizes thermal units and pumped storage to improve the flexibility of grid operation; the second phase is the intra-day adjustment phase considering the uncertainty of the wind-photovoltaic and transmission line failure outage to enhance the robustness. Furthermore, this model employs a column and constraint generation algorithm to solve the two-phase, three-layer optimization problem, thereby minimizing the adjustment cost under the riskiest scenarios. The experimental results show that adding pumped storage reduces the total system operating cost by 3.99%, the renewable energy abandonment rate to 0.65%, and the thermal power unit output standard deviation to 74.13 MW.

Research on the contribution rate of photovoltaic power in indoor ice arenas across different climatic zones: A case study in China

With the increasing construction of ice arena facilities, addressing their energy consumption issues has become crucial, emphasizing the need for renewable energy utilization. This study aims to determine the contribution rate of photovoltaic (PV) power generation in indoor ice arenas across different climate zones in China and proposes corresponding PV application strategies. By modeling the vertical zoning above the ice arena, energy consumption in indoor ice arenas across six typical cities was simulated, calculating annual and monthly renewable energy contribution rates and proposing utilization strategies. The research reveals a growing proportion of cooling energy consumption due to climate warming, exceeding half of the total energy even in cold cities. Differences in energy consumption and renewable energy contribution rates among cities highlight the impact of local climate conditions. Favorable climates and abundant solar resources in some cities enable more energy-efficient ice arena construction, while high energy consumption and limited solar resources pose challenges in others. The study identifies seasonal variations in renewable energy contribution rates, emphasizing the need to optimize power generation seasonally. In colder cities, summer power generation is essential, while in hotter climates, winter power generation is more advantageous. This study provides insights for designing energy-efficient and sustainable ice arenas.

Optimal operation for P2H system with 100% renewable energy concerning thermal-electric properties

Power to hydrogen (P2H) system with renewable energy sources is an important research point for sustainable development. Developing a comprehensive model to accurately capture the thermal-electric characteristics of an electrolyzer and utilizing it to optimize the system’s performance pose a significant challenge. In this paper, we develop an energy conversion model of the Alkaline Water Electrolyzer (AWE), describing the impact of temperature on AWE’s operation. Then, using experimental fitting methods, we fit the important formulas of the model: the maximum power (MMP) function and the efficiency function. Subsequently, based on the proposed energy conversion model, we propose an active variable temperature (AVT) operation strategy for the P2H system with renewable energy aimed at maximizing hydrogen production. At last, cases for both the day-ahead and hour-ahead situations are conducted with real photovoltaic power. The simulation results show that the AVT operation strategy achieves up to 3% higher hydrogen production and nearly 100% renewable energy utilization rates.

Macroeconomic determinants of non-renewable and renewable energy consumption in India: The roles of international trade, innovative technologies, financial globalization, carbon emissions, financial development, and urbanization

Against scenarios of rising fossil fuel dependence and slow renewable energy adoption rates, this study appraises macroeconomic factors affecting non-renewable and renewable energy consumption in India. Additionally, this study makes a novel attempt to evaluate the determinants of divide between India's non-renewable and renewable energy consumption levels. Overall, the findings are three-fold. Firstly, it is found that in the short-run India's non-renewable energy consumption levels are positively and negatively determined by technological innovation and financial globalization, respectively. Besides, in the long-run, non-renewable energy consumption is positively influenced by international trade, financial globalization, carbon emission, and financial development; conversely, technological innovation reduces non-renewable energy consumption. Secondly, India's renewable energy consumption levels, in the short-run, are positively determined by international trade and technological innovation, while financial development impedes renewable energy consumption. Moreover, in the long-run, renewable energy consumption is positively and negatively impacted by technological innovation and financial globalization, respectively. Thirdly, the results confirm that financial globalization in the short-run and technological innovation in the long-run reduce the divide between India's non-renewable and renewable energy consumption levels. Contrarily, in the long-run, carbon emissions, international trade, financial globalization, and financial development widen this divide. Accordingly, policy suggestions are provided for the Indian government.

Operational optimization of demand management strategy for hybrid power system based on battery capacity fading characteristics

In the hybrid power system (HPS), taking battery capacity fading characteristics and demand management strategy (DMS) into consideration, an operational optimization method is developed in this work. From the energy utilization and economic perspectives, the minimum total renewable energy curtailment rate (TCR), minimum total outsourced electricity (TOE) from the grid and minimum total operating cost (TOC) are respectively taken as the optimization objectives. The corresponding mathematical models of the proposed method are established, which feature mixed integer nonlinear programming (MINLP) ones. A case study of a solar-wind-biomass-battery HPS is adopted to verify and illustrate the application and effectiveness of this proposed method. Results show that the optimal operating schemes and the DMSs of the HPS based on battery capacity fading characteristics can be determined by minimizing the TCR, TOE and TOC. The target values of TOE and TOC of the HPS with adopting DMS are 15,995.3 kWh and 18,112.1 $, which are about 70 % these of the HPS without DMS. Furthermore, the relationships between battery capacity fading characteristics and DMS are comprehensively investigated in this operational optimization of the HPS. Finally, the effects of different battery types, outsourced electricity price changes on the operation of the HPS are analyzed and discussed. This work provides a valuable method for the operational optimization of the HPS.

Optimal planning of integrated electricity-natural gas distribution systems with hydrogen enriched compressed natural gas operation

In future integrated electricity-natural gas distribution systems (IEGDS), hydrogen and methane converted from excessive renewable generation will be mixed with natural gas to form hydrogen enriched compressed natural gas (HCNG) for fewer carbon emissions. Consequently, optimal planning of the HCNG-integrated IEGDS plays an essential role in increasing the economy and technical benefits. However, integrating HCNG operation into the planning of IEGDS still has many challenges, such as unrealistic modeling, nonlinear constraints, and the potential risk of voltage violations. The purpose of this paper is to develop a tractable optimization model for planning and operation of the HCNG-integrated IEGDS, aiming to minimize the investment and operating cost, reduce the voltage violation, and improve the renewable power penetration rate. To achieve this, a bilevel optimization model is developed for optimal planning of wind turbines and soft open points (SOPs) in the IEGDS considering comprehensive HCNG operation, in which both hydrogen and methane injection are considered and optimized for different system operation scenarios. Furthermore, the proposed nonlinear model is reformulated to a tractable bilevel mixed-integer second-order cone model using several reformulation techniques and solved by the reformulation and decomposition algorithm. Case studies, performed using the publicly available datasets, are conducted to demonstrate the economic and technical improvement by implementing the proposed planning model. The annual planning results show that incorporating the coordination between SOPs and methane injection results in a 6.77% reduction in investment cost, a 22.64% reduction in operating cost, a 62.69% decrease in voltage violation, and a 23.58% increase in the wind power penetration rate. Moreover, SOPs are more applicable to the safe operation of the IEGDS under high energy load conditions.

Stability control and analysis of hydrogen production using a multi-terminal DC EV charging system with PV

In the shift towards sustainable energy, DC microgrids have emerged as efficient and reliable alternatives to traditional AC systems, particularly suited for low-voltage applications. The adoption of electric vehicles (EVs) in multi-terminal DC (MTDC) systems introduces challenges in maintaining voltage stability, particularly during master station failures. Our research introduces a decentralized control strategy with multi-mode switching to ensure stability under such conditions. We conduct a comprehensive stability analysis of MTDC systems heavily integrated with EVs, identifying the instability risks and proposing mitigation strategies. The effectiveness of our control approach is validated through simulation studies and a detailed state-space model. Additionally, we explore the integration of renewable energy sources and hydrogen production into MTDC systems for EV charging, which minimizes the need for a new power infrastructure and enhances renewable energy use. This integration optimally reduces renewable energy discard rates, thereby improving energy efficiency without compromising system performance. Our study provides practical insights and theoretical support for renewable energy-driven hydrogen production within DC microgrids. The proposed scheme's performance is validated through simulation studies using a state-space model.

Multi-objective stochastic-robust based selection-allocation-operation cooperative optimization of rural integrated energy systems considering supply-demand multiple uncertainties

The carbon neutrality goal places greater demands on integrated energy system (IES) in rural areas. In line with this trend, a multi-objective stochastic-robust based selection-allocation-operation cooperative optimization model is established for planning of rural IES in this paper. Firstly, this paper construct three typical IESs at three levels (user, township and user-township interaction) and make economic selection. Secondly, in order to coordinate the objectives of technology-economy-environment and solve the multiple uncertainties existing in the system, a multi-objective stochastic-robust planning model is proposed. In the model, the objective function introduces indicators such as total cost, primary energy resource efficiency and renewable energy consumption rate. Then constructing stochastic hierarchical scenarios to characterize the stochastic uncertainty of parameters in the time dimension. And introducing typical scenarios into the box sets which characterize the supply-demand sides uncertainty. Finally, a sensitivity analysis is performed to discuss the influence of robustness parameters and biogas prices. The annual total cost of the user-township interaction system is 53.8 % and 8.4 % lower than that of the other two systems, respectively. And from the allocation results of selected system, primary energy resource efficiency is 0.57, total cost is 1.81 × 106 USD and renewable energy consumption rate is 99.46 %. In addition, from the operation results, it is analyzed that the output of the equipment is perfectly balanced with the user's load. Finally, it is obtained by sensitivity analysis that uncertainty budget and biogas price have an impact on the selection of discrete equipment, the capacity of continuous equipment and the total cost. And the optimal capacity of the system under different situations is given.

Pasture Performance: Perspectives on Plant Persistence and Renewal in New Zealand Dairy Systems

Pasture systems dominate the landscape of Aotearoa, New Zealand, and are an integral component of sustainable and resilient livestock production. Predicting the response, performance, and dynamics of pasture species and adapting management practices is key to the long-term economic and environmental sustainability and resilience of the agricultural sector. However, there is limited information on the long-term productivity, performance, and persistence of forage cultivars and species for pasture production systems, particularly when linked to grazing and animal performance. Here, we sought to reduce scientific uncertainty, inform modelling efforts, and contribute to a predictive framework for understanding pasture performance, persistence, and renewal. Inter-annual pasture renewal (direct drilling and cultivation) rates vary by region and year, reflecting both opportunity and problem-based drivers, with the highest pasture renewal rates in Waikato and Canterbury on the North and South Island, respectively.