Green Technologies and Sustainability最新文献

{"title":"A novel predictive framework for green transportation and EV policy towards sustainable mobility and emission reduction","authors":"Thanaporn Phattanaviroj ,&nbsp;Massoud Moslehpour ,&nbsp;Princy Pappachan ,&nbsp;Nicko C. Cajes ,&nbsp;Brij B. Gupta ,&nbsp;Mosiur Rahaman","doi":"10.1016/j.grets.2025.100260","DOIUrl":"10.1016/j.grets.2025.100260","url":null,"abstract":"<div><div>The transportation industry has emerged as the cornerstone of economic development while simultaneously being a major source of greenhouse gas emissions. In response to these increasing environmental concerns, transitioning to green transportation, particularly through the adoption of electric vehicles (EVs), is imperative. Consequently, we propose a supervised machine learning (ML) approach using the Random Forest Regressor algorithm to forecast EV adoption trends, evaluate fuel cost savings, estimate carbon emission reductions, and optimize logistics for sustainability. The resulting model demonstrates excellent regression metrics for MSE and MAE with an R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> score of 0.998. The study also incorporated real growth rate scenarios based on empirical data and international benchmarks to quantify the impact of financial incentives, the development of charging infrastructure, and public awareness on project EV adoption rates, fuel cost savings, and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> reduction for the years 2024–2034. Although ML-based simulations indicated a stronger standalone impact of charging infrastructure over financial incentives, it was the combined policy scenarios that yielded the most significant outcomes. These results are significant because they establish a scalable model capable of accurately projecting the dynamics of the EV market and environmental outcomes, equipping policymakers and manufacturers with actionable insights to make strategic decisions and contribute meaningfully to the mitigation of carbon emissions.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100260"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward sustainable aviation: An integrated assessment of SAF feasibility and readiness in Philippine airlines","authors":"Arthur C. Dela Peña","doi":"10.1016/j.grets.2025.100264","DOIUrl":"10.1016/j.grets.2025.100264","url":null,"abstract":"<div><div>As the global aviation industry intensifies efforts to reduce carbon emissions, Sustainable Aviation Fuel (SAF) has emerged as a key enabler of net-zero targets. However, developing countries such as the Philippines face significant economic, organizational, and policy challenges in adopting SAF. This study evaluates the feasibility and readiness of SAF adoption by Philippine airlines using an integrated multi-framework approach. Specifically, the study combines Life Cycle Cost Analysis (LCCA), the Technology-Organization-Environment (TOE) framework, and the Triple Bottom Line (TBL) model to deliver a comprehensive assessment of economic viability, market readiness, and sustainability impacts. LCCA results reveal that SAF is currently <span><math><mo>∼</mo></math></span>2.5 times more expensive than conventional Jet-A fuel, largely due to high procurement costs and supply limitations. TOE analysis confirms high technological readiness but highlights significant organizational and regulatory barriers, including limited internal capacity, unclear policy direction, and weak financial incentives. The TBL analysis underscores SAF’s substantial environmental value and moderate long-term social potential, but economic benefits remain underdeveloped. Stakeholders emphasized that government support, through blending mandates, fiscal incentives, and public–private partnerships, is critical to enabling large-scale SAF deployment. To our knowledge, this is among the first comprehensive assessments of SAF adoption in the Philippine context and provides empirical insights that may inform airline strategies, policymaking, and future research. The findings highlight the importance of coordinated action in bridging cost gaps, building capacity, and fostering public engagement, which could help advance the sustainability potential of SAF.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100264"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nexus of innovation, gross domestic product, CO2, and renewable energy in China","authors":"Vu Ngoc Xuan","doi":"10.1016/j.grets.2025.100261","DOIUrl":"10.1016/j.grets.2025.100261","url":null,"abstract":"<div><div>This study investigates the dynamic nexus between renewable energy (RE) consumption, economic growth (EG), carbon dioxide emissions (CO₂), innovation (INN), and trade openness (TO) in China from 2000 to 2023. Unlike many previous studies that rely on ordinal innovation indices, this study employs a more robust proxy — R&amp;D expenditure as a percentage of GDP — to capture the impact of technological innovation on RE use. Using a log–log econometric model and time-series data, the results show that EG and innovation significantly boost RE consumption, while CO₂ emissions exert a negative influence. These findings support the Environmental Kuznets Curve (EKC) hypothesis and the Energy Transition Theory. The study offers critical insights for policy, suggesting that sustained investment in R&amp;D and innovation ecosystems is essential for scaling up RE and achieving long-term carbon neutrality in China.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100261"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Origami-inspired urban wind turbines: Scalable bladeless designs for decentralized renewable energy","authors":"Mohamad Hussein Farhat ,&nbsp;Arash Mehdizadeh ,&nbsp;Ahmad Sedaghat ,&nbsp;Mohamed EL Badawy ,&nbsp;Bassem Djedi ,&nbsp;Mohamad Iyad Al-Khiami ,&nbsp;Ali Mostafaeipour ,&nbsp;Mohammad Nazififard","doi":"10.1016/j.grets.2025.100253","DOIUrl":"10.1016/j.grets.2025.100253","url":null,"abstract":"<div><div>This study addresses the challenges of deploying small wind turbines (SWTs) in urban environments, particularly issues related to societal objections, noise, and wildlife safety. To tackle these problems, we introduce a novel origami-inspired bladeless wind turbine that redirects axial airflow into tangential forces using internal diffuser conduits. Two 3D-printed prototypes, with rotor diameters of 15.28 cm (Model 1) and 15.74 cm (Model 2), were evaluated in a controlled wind tunnel under various scenarios, including free rotation, generator load, and variable resistive loads. We tested performance under four experimental conditions to determine power output and cut-in speeds. Results indicate that these turbines achieve high efficiency and power output at low wind speeds, with cut-in speeds of 3.2 m/s for free rotation and 5.3 m/s for loaded generation. The innovative modular design not only enhances aesthetic appeal but also allows for seamless integration into urban architectures, supporting hybrid energy systems and off-grid applications. This research advances the field by demonstrating the potential of origami-inspired turbines to overcome the limitations of conventional SWTs, providing a scalable and sustainable energy solution for modern urban settings. This research contributes to urban sustainability by offering a clean, quiet, and aesthetically adaptable solution that enhances public acceptance and environmental compatibility.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100253"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging FinTech and GreenTech for long-term sustainability in South Asia: Strategic pathways toward Agenda 2050","authors":"Bablu Kumar Dhar ,&nbsp;Md. Mustaqim Roshid ,&nbsp;Sulochana Dissanayake ,&nbsp;Udit Chawla ,&nbsp;Muhammad Faheem","doi":"10.1016/j.grets.2025.100263","DOIUrl":"10.1016/j.grets.2025.100263","url":null,"abstract":"<div><div>As the global community moves beyond the 2030 horizon, long-term sustainability goals such as climate neutrality, digital equity, and resilient infrastructure are determining the emerging Agenda 2050—a forward-looking framework for deep sustainability transitions. This study explores how the synergistic integration of Financial Technology (FinTech) and Green Technology (GreenTech) can be used as transformative enablers of sustainable development across South Asia over the coming decades. Utilizing a qualitative thematic analysis of secondary data drawn from peer-reviewed literature, institutional reports, and country case evidence, the research identifies scalable FinTech solutions—including blockchain, digital wallets, RegTech, and green insurance—and complementary GreenTech applications such as solar energy systems, hydropower, green architecture, and sustainable mobility. The analysis highlights how FinTech can catalyze GreenTech diffusion by improving financial access, mobilizing green investments, and enabling real-time sustainability tracking. By assessing current technological trends and institutional readiness across Bangladesh, India, Pakistan, and Sri Lanka, the study provides strategic insights into building integrated digital-environmental ecosystems for Agenda 2050. Key innovations of this study include the application of a dual theoretical framework, Technology Organization Environment (TOE) and Sociotechnical Systems Theory, to analyze FinTech–GreenTech synergies, and a forward-oriented policy roadmap for long-term sustainability in low- and middle-income countries The findings are particularly relevant for policymakers, central banks, private innovators, and development agencies seeking to operationalize long-term sustainability through cross-sectoral technology pathways.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100263"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A scientometric and systematic analysis in circular economy research focused on wastewater treatment from a sustainability perspective","authors":"Daniel Bermejo-Campos ,&nbsp;Fernando García-Avila","doi":"10.1016/j.grets.2025.100259","DOIUrl":"10.1016/j.grets.2025.100259","url":null,"abstract":"<div><div>The increasing scarcity of water and pollution in water bodies, stemming from urbanization and inefficient waste management, highlighted the urgent need for a sustainable approach in wastewater treatment (WWT). In this context, the Sustainable Development Goals (SDGs), provide a global framework to address challenges such as access to clean water and sanitation, and responsible consumption practices. This study conducts a bibliometric and systematic literature analysis to examine the role of circular economy (CE) as a strategy to drive sustainability in wastewater treatment plants (WWTPs). A total of 281 scientific publications were analyzed from 2015 to September 2024, using the Scopus database and employing bibliometric tools to identify emerging trends, influential authors, and promising research areas. The results demonstrate an increase in publications since 2015, largely driven by global engagement with the SDGs. The implementation of CE in wastewater facilitates resources recovery of and pollution reduction, thereby contributing to compliance with the SDGs 6, 12 and 11. However, there are important gaps, such as the absence of a comprehensive approach that simultaneously considers the economic, social and environmental dimensions. It is recommended that future research extend the analysis to other databases, and delve deeper into the social benefits of CE. This study underscores the importance of CE as a pathway to improved sustainability in WWT, although significant barriers to its overall integration remain.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100259"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Waste composition and engagement in management initiatives: A study at Chulalongkorn University across academic periods","authors":"Patchareeya Jaipakdee ,&nbsp;Pathompong Vibhatabandhu ,&nbsp;Phanpaporn Vitayavarawat ,&nbsp;Nuta Supakata","doi":"10.1016/j.grets.2025.100252","DOIUrl":"10.1016/j.grets.2025.100252","url":null,"abstract":"<div><div>Waste management poses a critical challenge for universities, with far-reaching environmental and social consequences. This study highlights the significance of Chulalongkorn University’s Zero Waste initiative, which has driven substantial progress in sustainable waste management. Between 2017 and 2022, landfill waste was reduced by nearly half, dropping from 4959 tons to 2424 tons annually, whereas recycling rates increased from 33% to 55%. By employing a systematic methodology, including waste quartering and statistical analysis, this study provides a comprehensive evaluation of waste composition and engagement practices at storage areas across the campus during different academic periods. The findings emphasize the initiative’s success in promoting waste reduction and recycling awareness, contributing to measurable environmental benefits. Even amid the COVID-19 pandemic, the initiative demonstrated remarkable resilience, mitigating adverse impacts and maintaining progress toward sustainability. This study underscores the pivotal role of evidence-based strategies, continuous improvement, and active community engagement in addressing waste management challenges, offering valuable insights for advancing sustainability in higher education institutions.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100252"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pyrolysis characteristics, thermo-kinetic parameters, and evolved gas analysis for waste biomass derived from food processing industries","authors":"Yasmeen Saleh ,&nbsp;Labeeb Ali ,&nbsp;Ayesha Alam ,&nbsp;Mohamed S. Kuttiyathil ,&nbsp;Mohammednoor Altarawneh","doi":"10.1016/j.grets.2025.100266","DOIUrl":"10.1016/j.grets.2025.100266","url":null,"abstract":"<div><div>This study investigates the pyrolysis behavior, thermo-kinetic parameters, and the evolved gas characteristics of waste biomass generated by food processing industries, to assess its potential as a bioenergy feedstock. For this purpose, a biomass mixture sample consisting of orange peel, pineapple peel, potato peel, and corn cob was analyzed for ultimate and proximate attributes. The studied sample resembles the unsorted solid residues from food processing industries that manufacture products such as juices, chips, and jams. TGA experiments were conducted at four different heating rates (5, 10, 15, and 20 °C/min). The pyrolytic volatiles were identified using a thermogravimetric analyzer (TGA) coupled online with Fourier transform infrared spectroscopy (FTIR) and gas chromatography-mass spectroscopy (GC–MS). The evolved gas analysis revealed the formation of a wide array of products, including furans, phenols, ketones, esters, alcohol, acids, alkenes, and aromatics, along with nitrogenous species. The formation of alkenes and aromatics suggests potential for producing transportation fuel fractions, while the generation of N/O-compounds calls for the utilization of a secondary catalytic treatment to improve the quality of the pyrolytic oil. The outcomes presented herein provide a technical foundation for operations that serve to convert the abundant food processing waste into bioenergy and value-added products.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100266"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A quantitative study on sustainable stratagems and its impact on the financial performance","authors":"Fateha Shaheen ,&nbsp;Mohammad Rashed Khan","doi":"10.1016/j.grets.2025.100255","DOIUrl":"10.1016/j.grets.2025.100255","url":null,"abstract":"<div><div>Sustainability emerges as a critical focus of the business organization in the global market. It is driven by the awareness of ESG factors among the stakeholders. Due to the greater accountability demands of sustainable practices, the firm started to integrate sustainable practices into their operational strategies. The beneficiaries of adopting sustainable strategies are cost-saving, high sales, consumer loyalty, and profitability. The present study investigated the prevalence of sustainable stratagems in the firms as well as the correlation of sustainable practices and financial performance. In addition, the factors impacting the association of sustainable practices and financial performance are illustrated. A quantitative methodology research approach was applied, and data were collected from 200 top management employees of Bangladeshi firms using a purposive sampling technique with the aid of a structured questionnaire. The quantitative data were analyzed using the SPSS tool version 23 package through performing ANOVA, frequency, and correlation analysis. The outcomes of the study revealed that the firms are establishing sustainable practices, likely reduction of carbon footprints, water conservation practices, and the employee training program for sustainability. The research study implies that there are challenging factors, likely resource deprivation, financial pressure, regulatory compliance, and inadequate knowledge of employees impact sustainable practices. Overall, the study recommends effective implementation of sustainable stratagems in order to acquire long-term financial growth through amalgamation of ESG factors and the operation process.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100255"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning approach for optimizing pesticide degradation in wastewater using a hybrid approach with ozone treatment and biological degradation","authors":"Saba Khurshid ,&nbsp;Saurabh Kumar ,&nbsp;Divesh Ranjan Kumar ,&nbsp;Abdur Rahman Quaff ,&nbsp;Ramakar Jha ,&nbsp;Warit Wipulanusat","doi":"10.1016/j.grets.2025.100254","DOIUrl":"10.1016/j.grets.2025.100254","url":null,"abstract":"<div><div>This study investigates the treatment of atrazine-contaminated wastewater through a hybrid approach combining ozone pretreatment and anaerobic degradation using an Upflow Anaerobic Sludge Blanket Reactor (UASBR). Atrazine, a widely used herbicide for controlling weeds in crops such as maize, sorghum, and sugarcane, is an emerging organic contaminant and a potential endocrine disruptor due to its complex structure and recalcitrant nature. In this study, synthetic wastewater was prepared with an atrazine concentration of 100 ppb, based on the maximum levels reported in environmental studies. The initial chemical oxygen demand (COD) of the solution was measured at 6930 mg/L, and the pH was adjusted to 10.3 ± 0.1 using NaOH and H<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>SO₄. Ozonation was performed at varying ozone concentrations and durations to determine optimal conditions, ultimately identifying 9.4 mg/L ozone dosage for 40 min as most effective. This pretreatment reduced atrazine concentration to 66.5 ppb and significantly improved the biodegradability of the sample, facilitating subsequent biological treatment. The ozonated sample was then subjected to anaerobic treatment in a UASBR to evaluate and optimize atrazine removal performance. Ion chromatography was used to assess changes in ionic by-products pre- and post-ozonation. Increases in ions such as Cl<span><math><msup><mrow></mrow><mrow><mo>−</mo></mrow></msup></math></span>, NO<span><math><msubsup><mrow></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></math></span>, SO<span><math><msubsup><mrow></mrow><mrow><mn>4</mn></mrow><mrow><msup><mrow><mn>2</mn></mrow><mrow><mo>−</mo></mrow></msup></mrow></msubsup></math></span>, and F<span><math><msup><mrow></mrow><mrow><mo>−</mo></mrow></msup></math></span> indicated the degradation of atrazine into intermediate compounds. To further analyze the interrelations among operational parameters, wastewater characteristics, and atrazine concentrations, advanced machine learning models – Multivariate Adaptive Regression Splines (MARS) and the Group Method of Data Handling (GMDH) – were employed. The integrated treatment system demonstrated atrazine and COD removal efficiencies of 83.6% and 85.6%, respectively. Among the models, MARS exhibited superior predictive performance, achieving R² values of 0.930, 0.926, and 0.924 during training, validation, and testing phases, respectively, surpassing GMDH. Model evaluation using Taylor diagrams, the Comprehensive Measure (COM), and rank analysis further confirmed MARS as the more accurate and robust predictive tool for atrazine removal from the pesticide wastewater.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}