Greenhouse Gas Research Articles

Impact of environmental quality, renewable and non-renewable energy and governance quality on sustainable development: evidence from emerging economies

PurposeThe present study aims to examine the influence of environmental quality, renewable energy, non-renewable energy and quality of governance on sustainable development in two panels of 23 Asian and 8 European emerging countries during the 1996–2022 period.Design/methodology/approachThe present study employed second-generation methods of panel data analysis, which account for cross-sectional dependency and heterogeneity to achieve a more reliable conclusion.FindingsThe augmented mean group and common correlated effects mean group estimation findings exhibit the negative influence of environmental degradation and non-renewable energy on sustainable development, whereas the findings exhibit the positive effect of renewable energy and governance quality on sustainable development.Practical implicationsThe findings point out to policymakers and governments the importance of the adoption and implementation of policies to protect the environment, as well as promoting renewable energy incentive policies. Moreover, enhancing governance quality and striving towards good governance is essential for the successful adoption and implementation of energy and environment policies, as well as achieving sustainable development goals.Originality/valueThe present research contributes to the existing related literature in several ways. Adjusted net saving (ANS) is employed as a comprehensive indicator of sustainable development and ecological footprint (EFP) is employed as an exhaustive indicator of the environment’s quality rather than carbon dioxide emissions. In overall, this study is the first, to the best of our awareness, to simultaneously consider ANS, EFP and governance quality for examining the relationship among energy, environmental quality and sustainable development, especially in Asian and European emerging economies.

Unveiling the drivers behind carbon emissions disclosure: an ESG perspective

Purpose This study aims to explore the key drivers of voluntary carbon disclosures among French firms, highlighting environmental, social and governance (ESG) components and sustainable investments as crucial factors. Design/methodology/approach This study uses H2O AutoML, an advanced machine-learning framework, to examine CO2 emissions disclosure among 77 French non-financial companies listed on the SBF 120 index from 2017–2021. The research rigorously assesses CO2 disclosures using the Carbon Disclosure Project Index criteria, enhancing the precision of the findings. This approach paves the way for innovative advancements in ESG research by integrating cutting-edge computational tools with conventional environmental reporting metrics. Findings Social performance and sustainable investments are the most significant predictors of CO2 disclosure, outweighing traditional financial metrics such as the Book-to-Market ratio and direct environmental factors. Variable importance analysis and heatmaps underscore the critical role of social factors in shaping corporate transparency regarding carbon emissions. Practical implications This research offers valuable insights for companies and policymakers aiming to enhance environmental transparency and reporting, underscoring the significance of integrating ESG factors. Carbon emissions disclosure plays a critical role in promoting sustainability, ensuring regulatory compliance, attracting investors and strengthening risk management practices. Originality/value This research presents an innovative methodology for analyzing CO2 emissions disclosure using advanced machine learning within the H2O AutoML framework. It emphasizes the importance of model diversity and variable consideration to comprehensively understand environmental disclosure, potentially guiding policymakers and businesses in improving transparency and sustainability practices.

Fostering sustainable consumption: the interplay of pro-social behavior and social norms in reducing food waste in India

PurposeFood waste constitutes a critical global dilemma, presenting substantial environmental, economic and social challenges, with around one-third of all food intended for human use being discarded annually. This waste depletes essential resources, increases greenhouse gas emissions and intensifies food poverty. Comprehending the factors contributing to food waste is crucial for formulating effective methods to alleviate this issue.Design/methodology/approachThe responses have been collected from Indian households using longitudinal techniques. In Study 1, 481 respondents responded to the questions, and in Study 2, finally, 453 respondents responded.FindingsThis study examines the relationship between attitudes about food waste, intents to mitigate waste and several influencing factors like price sensitivity, altruistic behavior, awareness of food waste and societal norms.Originality/valueThe study seeks to elucidate consumer behavior by analyzing these relationships and identify practical interventions that can encourage a more sustainable food consumption approach, thereby aiding in the reduction of food waste and the promotion of responsible consumption practices.

Brazilian beef production and GHG emission – social cost of carbon and perspectives for climate change mitigation

Brazilian beef production and GHG emission – social cost of carbon and perspectives for climate change mitigation

Spatiotemporal Characteristics of Carbon Emissions from Construction Land and Their Decoupling Effects in the Yellow River Basin, China

Carbon emissions (CE) from expanding construction land (CL), a vital territory for human production and habitation, have contributed to climate change worldwide. The Yellow River Basin (YRB), an essential economic region and energy supply base in China, is experiencing rapid urbanization, and the contradiction between economic development and ecological protection is increasingly acute. Consequently, a thorough examination of the spatial and temporal change features of carbon emissions from construction land (CECL) and its decoupling from economic growth (EG) is crucial for the maintaining development of the region. This study adopts the IPCC carbon emission coefficient approach for measuring the CECL in the YRB from 2010 to 2021. The temporal and spatial variation features of CECL in the YRB were revealed using ArcGIS software and the standard deviation ellipse (SDE) model. The decoupling effect between CECL and EG was analyzed using the Tapio decoupling model and innovatively combined with the Logarithmic Mean Divisia Index (LMDI) method to explore the influence of five main drivers on the decoupling effect. This study found that: (1) The CECL rose from 2.463 billion tons in 2010 to 3.329 billion tons in 2021. The spatial layout of CECL is “high in the east and low in the west”. (2) The SDE of CECL is distributed in the direction of “northeast to southwest”, and the gravity center’s moving path is “northwest to northeast to northwest”; (3) weak decoupling (WD) is the main decoupling state between CECL and EG; (4) the economic output effect and the construction land (CL) scale effect are the two main factors inhibiting the decoupling of CECL, while the energy intensity effect, the population density effect, and the energy structure effect are the main elements motivating the decoupling of CECL. This study provides specific references and bases for the YRB in China and other countries and regions with similar levels of development in promoting green and ecologically friendly initiatives and achieving low-carbon utilization of regional land and sustainable development.

Scientometric review of strategies to mitigate embodied carbon emissions in the construction industry

Purpose While operational carbon (OC) emission reduction strategies have received substantial attention in past literature, very few studies have focused on embodied carbon (EC) emission reduction in the construction industry. Therefore, this study aims at undertaking a scientometric review of strategies to mitigate EC emissions in the construction industry. Design/methodology/approach Scopus search engine was used to search for articles. VOSViewer software was used for scientometric analysis using science mapping approach. Using a total of 151 documents, keywords, authors, papers and their sources were analysed. Furthermore, scientometric analysis was undertaken comprising co-occurrence of keywords, documents source analysis and author co-citation analysis. Findings The significant strategies identified to mitigate EC emissions were: offsite manufacturing/use of prefabricated elements, decarbonisation of energy grid, enhanced policies and regulations by governments, construction sector policies and regulations, guidelines for increased use of low EC materials and reuse and recovery of EC construction materials. Practical implications This study identifies practical strategies that contribute to reduction of EC emissions. Originality/value This study is significant and contributes to the construction industry’s agenda to mitigate greenhouse gas emissions.

Simulation study on diesel-ignited ammonia/hydrogen mixture fuel combustion on engine combustion and emission performance

This study focuses on a diesel/ammonia/hydrogen premixed engine, which ignites an ammonia/hydrogen mixture introduced through the intake manifold via in-cylinder direct diesel injection. Simulations were conducted to examine the impact of different ammonia/hydrogen mixing ratios on engine performance. The goal was to identify the optimal mixing ratio for this premixed engine to enhance combustion and emission characteristics. The results demonstrated that with a hydrogen mixing ratio of H10, the maximum in-cylinder pressure increased by 5.8% compared to H0, power output decreased by 0.8%, and fuel consumption rate increased by 1.7%. Additionally, ammonia slip decreased by 86.3%, NOX emissions increased by 13%, CO emissions increased by 7.4%, N2O emissions decreased by 79.2%, and CO2 emissions remained unchanged. Soot emissions were improved, leading to an overall enhancement in engine performance with hydrogen blending. To achieve the carbon neutrality goal of net-zero carbon emissions, a small amount of diesel ignition, combined with ammonia pre-injection in the intake manifold and a 10% hydrogen blend, presents a more effective solution. The findings of this study contribute to the advancement of ammonia fuel in internal combustion engines and provide theoretical guidance for its practical application. Research aimed at optimising in-cylinder combustion processes and controlling emissions enhances our understanding of the impact of alternative fuels on greenhouse gases and harmful emissions, thereby contributing to the reduction of pollutant emissions.

Effects of Ammonia Energy Ratio and Injection Strategy on Combustion and Emissions of Ammonia/Diesel Dual-Fuel Engine

ABSTRACT Ammonia (NH3) is gaining significant attention as a hydrogen transporter and carbon-free fuel for its potential to reduce carbon emissions in the transportation sector. The ammonia/diesel dual-fuel mode is a viable solution to address the ignition challenges associated with ammonia in engines, and it serves as an effective method to enhance ammonia combustion. Therefore, this study investigates the combustion characteristics of an ammonia/diesel dual-fuel engine through experimental validation combined with numerical simulation to find a better combustion strategy. The combustion and emission parameters were analyzed at various ammonia energy ratios (AER) ranging from 10% to 70%. As a result, a new injection method was implemented to improve the engine’s combustion characteristics and address the issue of incomplete ammonia combustion after combustion. The technique employs the pre-injection and main injection of diesel fuel to enhance combustion efficiency in the engine cylinder by modifying the pre-injection ratio (PER). The results indicate that combustion properties are improved when the ammonia replacement rate is lower than 60%. Increasing the AER from 0% to 70% resulted in a 36.34% reduction in greenhouse gas (GHG) emissions compared to using diesel alone. The pre-injection technique is highly effective in minimizing the emission of unburned NH3, with reductions of up to a minimum of 1703 ppm. Furthermore, the indicated thermal efficiency (ITE) can reach a maximum of 43% when the pre-injection ratio is set at 30%, resulting in an enhanced combustion effect within the cylinder.

Renewable energy strategy impacts on electricity system and carbon emissions in Hunan Province of China

This study investigates the impact of increasing renewable energy capacity on the power industry in Hunan Province, China, focusing on power demand, electricity generation, and CO2 emissions reductions. Using the Low Emission Analysis Platform (LEAP) model, five scenarios (BAU, RES, HEF, HST, and COP) were developed to assess the effects of renewable energy strategies from 2022 to 2035. The analysis considered renewable energy growth, energy storage, and efficiency improvements. The Comprehensive Optimization Scenario (COP) emerged as the most optimal, achieving a 48% share of renewable energy, 17% energy storage, and 23% efficient coal use, leading to significant CO2 emissions reductions while ensuring system flexibility and reliability. The study concludes that the COP scenario is the most effective in supporting a low-carbon transition and maintaining energy security. Practical implications include the need for policy support in areas such as diversified energy storage, distributed energy systems, V2G/V2X technologies, and smart grid development to enhance renewable energy integration and ensure sustainable development in Hunan.

Corporate Engagement with the Science Based Targets Initiative: Financial Implications and Key Motivators

Objective: This study focuses on the Science Based Targets Initiative (SBTi), a voluntary framework that enables companies to set emission reduction targets based on science and aligned with the Paris Agreement to combat climate change in a credible and effective way. The research aims to examine the impact of companies’ participation in the SBTi on their stock performance, volatility, and financial risk. It also seeks to identify the key factors that motivate firms to participate in the SBTi. Methodology: The study collects and processes extensive data from SBTi and Refinitiv, utilizing statistical methods such as Difference-in-Differences (DiD) regression analysis and Probit models. It analyses financial variables, carbon emissions, as well as sector and geographic information of more than 4,000 companies, using panel data from 2015 to 2022. Results: The study finds a negative impact of SBTi on stock returns, while volatility and financial risk show no significant changes. Factors such as lower returns, reduced stock price fluctuation, and higher financial risk increase the likelihood of companies joining SBTi. Limitations: The study acknowledges certain limitations, including the focus on investor reactions to short-term targets and commitments. As more data become available, future research could explore a broader time horizon. Additionally, the study did not assess whether companies are meeting their targets. Lastly, a comparative analysis between companies from different regions and industries was not conducted, but is recommended for future research. Practical implications: The SBTi provides companies with flexibility in achieving their targets, which does not guarantee ambitious measures against climate change. Potential greenwashing practices may undermine investor confidence in the initiative’s standards. Firms must set realistic and challenging goals. Therefore, transparency and the integration of environmental commitments into business management are crucial for improving corporate perception and attracting capital, even though the financial benefits of these actions may not be immediate.

Structural Substitution Rather Than Efficiency Improvement in Thermal Power Sector Achieved by China’s Pilot Carbon Markets

Thermal power sector plays a crucial role in achieving China’s climate mitigation targets due to its large contribution to the nation’s overall carbon emissions. This study constructs a unique nationwide unit-level dataset containing more than 1,000 coal-fired power units (CPUs) to evaluate the heterogeneous effects of China’s pilot Emission Trading Schemes (ETSs). Results disclose that the pilot ETSs generate a prominent reduction effect of coal consumption through electricity production shrinkage and output substitution among generation units. CPUs’ energy efficiencies have barely improved in the short run and even have been worsened in the longer term. From the market perspective, active tradings, higher prices and stringent benchmark standards are conducive to efficiency improvement but also bring uncertain impacts on coal abatement. Stringent benchmark standards and China’s administrative dispatching system contribute and strengthen the structural substitutions toward high-capacity CPUs. Finally, counterfactual simulation shows that the structural substitutions result in uneven distributions of air pollution co-benefits brought by the pilot ETS. JEL Classification: C21, Q48, Q54

Carbon Accounting for Forest Products: Carbon Debt and the Time Dimension

Carbon Accounting for Forest Products: Carbon Debt and the Time Dimension

Advancing Sustainable Energy: Environmental and Economic Assessment of Plastic Waste Gasification for Syngas and Electricity Generation Using Life Cycle Modeling

The explosion of plastic waste generation, approaching 400 million tons per year, has created a worldwide environmental crisis that conventional waste management systems cannot handle. This problem can be solved through gasification, which converts nonrecyclable plastics to syngas with potential applications in electricity generation and synthetic fuel production. This study investigates whether syngas production from plastic waste by gasification is environmentally and economically feasible. Environmental impacts were assessed through a life cycle assessment framework using a life cycle impact assessment approach, ReCiPe 2016, with 10 midpoint/endpoint categories. Midpoint results of the baseline scenario with grid-mix electricity revealed climate change (GWP) of 775 kg CO2 equivalent and fossil depletion potential (FDP) of 311 kg oil equivalent per ton of plastic waste. Meanwhile, a solar scenario showed GWP as 435 kg CO2 equivalent and FDP as 166 kg oil equivalent per ton of plastic waste. Switching to solar energy cut GWP 44% and FDP 47%, respectively. However, the tradeoffs were higher human toxicity potential (HTP) and marine ecotoxicity potential (METP) due to upstream material extraction of renewable systems, respectively. Among environmental performance drivers, electricity inputs and operating materials were identified through sensitivity and uncertainty analyses. Syngas production from a plant of 50 tons per day can yield electricity sales revenue of USD 4.79 million, excluding USD 4.05 million in operational expenditures. Financial indicators like a 2.06-year payback period, USD 5.32 million net present value over a 20-year project life, and 38.2% internal rate of return indicate the profitability of the system. An external cost analysis showed emissions-related costs of USD 26.43 per ton of plastic waste processed, dominated by CO2 and NOx emissions. Despite these costs, the avoided impacts of less landfilling/incineration and electricity generation support gasification. Gasification should be promoted as a subsidy and incentive by policymakers for wider adoption and integration into municipal waste management systems. Findings show it can be adapted to global sustainability goals and circular economy principles while delivering strong economic returns. The study findings also contribute to several Sustainable Development Goals (SDGs), for instance, SDG 7 by promoting clean energy technologies, SDG 12 by implementing circular economy, and SDG 13 by reducing greenhouse gas (GHG) emissions.

Transportation-Associated Carbon Dioxide Emissions Avoided by Use of Telehealth Through COVID-19 Pandemic.

Background: Increasing carbon dioxide (CO2) in the atmosphere contributes to Earth's warming, which has negative impacts on human health. The health care system is a major contributor to CO2 emissions. Telehealth has the capacity to reduce health-care-related emissions by eliminating patient travel to in-person appointments. Methods: Data were obtained from Nebraska Medicine's (NM) electronic medical record. Parameters included patient zip code, provider location, calendar year of visit, and provider specialty. Euclidean distance from centroid zip code to clinic location was calculated. Environmental Protection Agency estimates were used to convert mileage to CO2 saved. Results: During the period January 1, 2019, to January 31, 2022, the NM health care system completed 214,241 telemedicine visits for patients whose home zip code is within Nebraska, resulting in greater than 2,600 metric tons of CO2 avoided. Telehealth appointments increased by more than 22,000% from 2019 to 2020. An average of 12.38 kg of CO2 was avoided with each telehealth visit. Medical specialties that avoided the most CO2 included family medicine, endocrinology, and infectious disease. Conclusion: This study demonstrates the capability of the NM health care system to rapidly adjust to an emergency pandemic by drastically increasing the use of telehealth, which also avoided thousands of tons of transportation-associated CO2 emissions. Telehealth appointments increased during the height of the pandemic by more than 22,000%. Telehealth is an effective CO2 emission-reducing strategy and a worthy avenue to further explore reduced health-care-related emissions.

Microfluidics for Electrochemical Energy Conversion and Storage: Prospects Toward Sustainable Ammonia Production.

Ammonia is a key chemical in the production of fertilizers, refrigeration and an emerging hydrogen-carrying fuel. However, the Haber-Bosch process, the industrial standard for centralized ammonia production, is energy-intensive and indirectly generates significant carbon dioxide emissions. Electrochemical nitrogen reduction offers a promising alternative for green ammonia production. Yet, current reaction rates remain well below economically feasible targets. This work examines the application of electrochemical microfluidics for the enhancement of the rates of electrochemical ammonia synthesis. The review is built on the introduction to electrochemical microfluidics, corresponding cell designs, and the main applications of microfluidics in electrochemical energy conversion/storage. Based on recent advances in electrochemical ammonia synthesis, with an emphasis on the critical role of robust experimental controls, electrochemical microfluidics represents a promising route to environmentally friendly, on-site and on-demand ammonia production. This review aims to bridge the knowledge gap between the disciplines of electrochemistry and microfluidics and promote interdisciplinary understanding and innovation in this transformative field.

A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer

Abstract The photovoltaic (PV)/diesel hybrid system (PV/D-HS) combines solar PV panels with a diesel generator (DG) to meet energy demands, especially in industrial operations. This study introduces an improved energy management strategy designed to optimize the performance of PV/D-HS by reducing diesel consumption, increasing solar energy utilization, and minimizing environmental impact. The strategy dynamically manages power distribution between the PV panels and the DG, adapting to changing solar conditions and energy demands. Doing so reduces the system’s reliance on diesel, improves operational efficiency, and supports the integration of cleaner energy sources. Simulation results show significant improvements over traditional approaches: carbon emissions decreased from 62 kg/day with a standalone diesel generator to 38 kg/day, representing a 38% reduction. The solar energy fraction (SEF) increases from 12 to 35%, a 23% improvement in solar energy utilization. These results demonstrate the potential of the proposed strategy to enhance sustainability by lowering greenhouse gas emissions, reducing dependence on fossil fuels, and advancing global efforts to combat climate change. In addition to environmental benefits, the approach reduces operational costs and improves the system’s reliability, making it a practical solution for industrial energy needs.

Selective enrichment of high-affinity clade II N2O-reducers in a mixed culture

Abstract Microorganisms encoding for the N2O reductase (NosZ) are the only known biological sink of the potent greenhouse gas N2O, and are central to global N2O mitigation efforts. Clade II NosZ populations are of particular biotechnological interest as they usually feature high N2O affinities and often lack other denitrification genes. We focus on the yet-unresolved ecological constraints selecting for different N2O-reducers strains, and controlling the assembly of N2O-respiring communities. Two planktonic N2O-respiring mixed cultures were enriched at low dilution rates under limiting and excess dissolved N2O availability to assess the impact of substrate affinity and N2O cytotoxicity, respectively. Genome-resolved metaproteomics was used to infer the metabolism of the enriched populations. Under N2O limitation, clade II N2O-reducers fully outcompeted clade I affiliates, a scenario previously only theorized based on pure-cultures. All enriched N2O-reducers encoded and expressed the sole clade II NosZ, while also possessing other denitrification genes. Two Azonexus and Thauera genera affiliates dominated the culture, and we hypothesize their coexistence to be explained by the genome-inferred metabolic exchange of cobalamin intermediates. Under excess N2O, clade I and II populations coexisted, yet proteomic evidence suggests that clade II affiliates respired most of the N2O, de facto outcompeting clade I affiliates. The single dominant N2O-reducer (genus Azonexus) notably expressed most cobalamin biosynthesis marker genes, likely to contrast the continuous cobalamin inactivation by dissolved cytotoxic N2O concentrations (400 μM). Ultimately, our results strongly suggest the solids dilution rate to play a pivotal role in controlling the selection among NosZ clades, albeit the conditions selecting for genomes possessing the sole nosZ remain elusive. We furthermore highlight the potential significance of N2O-cobalamin interactions in shaping the composition of N2O-respiring microbiomes.

Evaluation of Farming System Modules for Improving Profitability of Small Farmers in Coastal Odisha, India

The study evaluated the profitability, sustainability and environmental impact of integrated farming system (IFS) modules, including cropping systems, horticulture, dairy, poultry and fishery in an area of 1.2 ha, in coastal Odisha, India. This research project was part of the sixth production cycle under the All India Coordinated Research Project on IFS and conducted at the Central Research Station, Odisha University of Agriculture and Technology, Bhubaneswar, during the 2022-23 agricultural year. The experiment integrated five major modules: cropping systems (0.32 ha), horticulture (0.31 ha), dairy (2 cross-bred cows), poultry (500 coloured chicken for meat) and fishery (0.40 ha). Productivity was assessed using rice equivalent yield (REY) and economic returns were calculated for each module. Sustainability was evaluated through sustainable yield indices and carbon footprint assessments, while soil quality parameters, such as bulk density, pH, organic carbon and available macronutrients, were monitored over six years. Dairy emerged as the most productive module, yielding the highest REY (15.14 t) and gross return (Rs.3,27,040). Horticulture recorded the highest net return (Rs.1,40,627) and benefit-cost ratio (3.61). The cost of production was mainly influenced by external inputs (52%), followed by labour (33%) and system-recycled inputs (15%). The system generated 399 man-days annually, with over half contributed by dairy. Environmental sustainability was achieved through agroforestry and compost application, making the model carbon-negative. Dairy was the largest greenhouse gas emitter, while horticulture and biomass contributed significantly to carbon sequestration. Over six years, soil quality improved, with reduced bulk density, increased water-holding capacity and enhanced organic carbon levels. Sustainable yield indices for four modules were above 0.6, with dairy showing the highest sustainability. Poultry performance required further improvement to enhance overall system sustainability. In conclusion, the integrated farming system enhanced overall productivity, profitability and environmental sustainability for smallholder farmers in coastal Odisha, showcasing its potential for resource optimization and resilience.

The impact of climate change in pollen food allergy syndrome.

To evaluate the effect of climate change on pollen allergenicity, lengthening of the pollen season, and the spread of invasive species such as ragweed. To assess evidence to determine whether these effects are impacting the prevalence of pollen food syndrome (PFS). There is good evidence to demonstrate that markers of climate change, including rising temperatures and to some extent greenhouse gases, are responsible for a rise in the allergenicity of pollen and an increase in the duration of the pollen season, especially for trees. These changes are likely to be linked to the increase in the prevalence of seasonal allergic rhinitis (SAR), especially in children. Sensitization to pollen, especially tree pollen, is also a risk factor for the development of PFS. Thought to mainly affect adults, recent evidence suggests that there is a rise in the prevalence of PFS in children, linked to an increase in SAR. Increasing SAR due to climate change could lead to a greater number of children and adults developing PFS. Although PFS is generally considered to be a mild condition, severe reactions can occur and there might be numerous plant food triggers, which can adversely affect dietary choice and nutritional intake.

Vine Pruning Residues and Wine Fermentation By-Products: A Non-Exploited Source of Sustainable Agriculture, Albania Case

Albania, situated in southeastern Europe, enjoys a Mediterranean climate that is well-suited for grape cultivation. The vineyard area totals 7.202 million hectares. Since the 1990s, the country has experienced a resurgence in its rich winemaking traditions, which have gained considerable attention over the last decade. Alongside its significant wine production, large amounts of vine pruning waste and fermentation by-products are generated, estimated at over 50,000 t of prunings and 35,900 t of grape pomace annually. This waste is often burned, and the ash is used as fertilizer, releasing considerable CO2 emissions, and contributing to greenhouse gas levels. However, recycling these prunings into fertilizer by chipping and grinding them in the vineyard presents a sustainable choice, providing key minerals, nitrogen, phosphorus, and various micronutrients, thereby reducing the dependence on synthetic fertilizers in farming. Characterized by small plantations, the vine pruning issue needs site-specific, economically feasible solutions for the farmer. Additionally, there is unexplored potential for applying wine fermentation pressing residues as fertilizer for agricultural land or vineyards. The Albanian wine sector has significant untapped opportunities, such as employing vine pruning ash as a mineral fertilizer to help achieve sustainability goals.