Journal of Cleaner Production最新文献

{"title":"A transparent bamboo with superior ultraviolet-resistance and thermal-insulating capacity towards durable sustainable buildings","authors":"Xishuan Fang ,&nbsp;Chengliang Zhou ,&nbsp;Xingong Li","doi":"10.1016/j.jclepro.2026.147810","DOIUrl":"10.1016/j.jclepro.2026.147810","url":null,"abstract":"<div><div>Epoxy-based transparent bamboo is highly attractive in the fields of green construction due to its remarkable mechanical properties, optical properties, and chemical tolerance. However, the abundant ether groups and aromatic skeletons in epoxy resin made it difficult to withstand radiation of ultraviolet, leading to the limited outdoor lifespan of epoxy-based transparent bamboo. Existing research on UV resistance improvement is fragmented, and the contradiction between anti-UV aging performance and structural rigidity remains unresolved, limiting practical outdoor applications. In this study, an ultraviolet-resistant transparent bamboo (URTB) is constructed using the hydrogenated epoxy resin modified by ultraviolet absorbing and hindered-amine light stabilizer as the hybrid matrix. The light transmittance, high haze, low thermal conductivity, and water contact angle of URTB reach 80%, 95.89%, 0.245 W/(m·K), and 99.68°, respectively, which provide simultaneous light transparency, inner privacy, heat preservation, and water resistance. When the outdoor temperature reaches 36 °C, replacing ordinary glass with URTB in an office building achieves 66.8 kWh daily energy savings and 40.08 kg CO₂ emission reduction. Moreover, after 12 days of UV-accelerated aging, the URTB shows only a 3.09% transmittance decrease, while its tensile strength increases notably from 109.1 MPa to 127.8 MPa. The superior UV resistance of URTB originates from the stability, ultraviolet absorption, and free radical-scavenging capabilities of the hybrid epoxy matrix, forming a three-step anti-ultraviolet mechanism of “source inhibition-energy interception-damage termination”. This enables URTB to withstand UV radiation and maintain stable performance in outdoor applications such as building facades, skylights, and sunrooms. This study paves the way for extensive outdoor applications of transparent bamboo in green and sustainable construction.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147810"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147292487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wildfire fuel-reduction biomass for remote energy: Small-scale combined heat and power feasibility and strategic implications for British Columbia's bioeconomy","authors":"Zexi Liu ,&nbsp;Sheng H. Xie ,&nbsp;Omar Mologni ,&nbsp;Tzeng Yih Lam ,&nbsp;Stephanie Ewen ,&nbsp;Ignacio Barbeito ,&nbsp;Dominik Roeser","doi":"10.1016/j.jclepro.2026.147892","DOIUrl":"10.1016/j.jclepro.2026.147892","url":null,"abstract":"<div><div>Wildfire fuel-reduction treatments in British Columbia (BC) generate large volumes of underutilized biomass. This study assesses the technical suitability and supply chain economics of using biomass from thinning and surface fuel reduction for small-scale combined heat and power (CHP) systems. Biomass availability, including non-delimbed and delimbed energy wood, residues, and surface woody debris, was evaluated in a 12-ha forest stand in the interior of BC, Canada. Woodchip quality was analyzed for particle size distribution, ash content, moisture content, and bulk density. Supply chain costs were estimated for multiple recovery methods, machinery scales, and chipping locations, considering specific treatment options. Results showed that one year of natural air drying enabled non-delimbed and delimbed energy wood to meet CHP system requirements for particle size and ash content, whereas residues and woody debris required targeted post-processing. Supply chain costs ranged from $175-426 per oven-dry tonne, driven primarily by transportation distance and treatment intensity. These findings demonstrate that fuel-reduction biomass can support small-scale CHP system operations when feedstock is locally sourced and of sufficient quality. Integrating energy production with higher-value product streams may provide a practical approach to cost-effective biomass utilization while contributing to wildfire risk mitigation, local energy security, and the regional bioeconomy. This study offers a transferable framework for evaluating operational feasibility and supply chain design in other fire-prone regions.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147892"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demonstration of a fertilizer-based liquid desiccant prototype for controlled plant environments","authors":"Sandeep Aryal ,&nbsp;Foster Caragay ,&nbsp;Danielle Monfet ,&nbsp;Mark Lefsrud ,&nbsp;Jonathan Maisonneuve","doi":"10.1016/j.jclepro.2026.147864","DOIUrl":"10.1016/j.jclepro.2026.147864","url":null,"abstract":"<div><div>Healthy plant development and optimal crop yields require careful humidity control in closed plant environments. Recently, fertilizer solution has been proposed as an energy efficient liquid desiccant for greenhouse and plant environment applications. Here, we report the first demonstration of fertilizer-based solution being used to effectively control the humidity of a real and dynamic closed plant environment. This is done using a laboratory scale plant chamber and a liquid desiccant system with membrane contactors. Calcium nitrate solution is selected as a sample fertilizer and circulated in place of concentrated liquid desiccant. Hydroponic arugula is cultivated in the plant chamber. In the absence of any active dehumidification, humidity of the plant environment is shown to quickly approach saturation. Using the proposed fertilizer-based desiccant, humidity of the plant environment is successfully maintained at a variety of setpoints including 60, 70, and 80 % relative humidity with dehumidification rates reaching up to 0.76 ± 0.1 g/h. Testing is conducted under various conditions, including over all stages of the plant growth cycle from germination to maturity, and stable humidity is confirmed throughout. Although not fully automated and integrated, these findings support the notion that fertilizer-based desiccant systems can be scaled and integrated for dehumidification and fertigation of controlled plant environments.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147864"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147292490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soft actor–critic two-stage joint optimization for carbon-aware scheduling and allowance procurement under market uncertainty in internet data centers","authors":"Qingxun Wu ,&nbsp;Wen-Ting Lin ,&nbsp;Guo Chen ,&nbsp;Xiaojun Zhou ,&nbsp;Tingzhen Ming ,&nbsp;Yuhan Huang","doi":"10.1016/j.jclepro.2026.147822","DOIUrl":"10.1016/j.jclepro.2026.147822","url":null,"abstract":"<div><div>The increasing adoption of carbon trading mechanisms compels internet data centers (IDCs) to procure carbon allowances under uncertain and dynamic market conditions. Existing approaches predominantly focus on single-stage optimization or static pricing assumptions, lacking the integration of workload allocation strategies and adaptive procurement decisions in a stochastic environment. To address these gaps, we propose a two-stage joint optimization and reinforcement learning (RL)-based framework for carbon management. In the first stage, computational workloads are dynamically allocated across geographically distributed IDCs according to regional carbon intensity, aiming to reduce operational emissions. In the second stage, a Soft Actor–Critic (SAC)-based RL model is developed to optimize continuous carbon allowance purchasing decisions under market uncertainty. The proposed framework introduces three major innovations: (i) a two-stage joint optimization that bridges emission reduction scheduling and strategic carbon allowance procurement; (ii) an endogenous carbon price modeling mechanism that captures market dynamics and price-demand interactions; and (iii) a SAC-based RL approach that leverages entropy-regularized exploration and multi-objective reward integration to ensure robust, cost-effective procurement strategies. Experimental results demonstrate that the proposed framework reduces annual carbon procurement costs by 5.90%–7.38% compared to benchmark strategies, while maintaining compliance, reducing carbon emissions, and avoiding excessive inventory. These findings highlight the potential of combining joint optimization and deep RL for sustainable and economically efficient data center operations. Specifically, the 5.90%–7.38% reduction in procurement costs compared to benchmark strategies not only improves operational efficiency but also promotes sustainability by reducing carbon emissions, highlighting the framework’s dual impact on both cost and environmental performance.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147822"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147292485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emission reduction optimization of recycling pathways for retired photovoltaic modules in China: A coupled model of life cycle assessment and evolutionary game theory","authors":"Xu Zhu ,&nbsp;Yichen Li ,&nbsp;Yue Zhang ,&nbsp;Yuanyuan Sun ,&nbsp;Wen Xu ,&nbsp;Lu Bai","doi":"10.1016/j.jclepro.2026.147786","DOIUrl":"10.1016/j.jclepro.2026.147786","url":null,"abstract":"<div><div>To support China's dual-carbon goals and address the challenges of recycling retired PV modules, this study develops a coupled Life Cycle Assessment–Evolutionary Game Theory model. Using 1 ton of retired PV modules as the functional unit, representative recycling routes and enterprise activity data from China are selected. The recycling system includes four stages: dismantling, transportation, treatment, and material regeneration, and covers five major technologies: mechanical recycling, thermal recycling without glass recovery, thermal recycling with 90% intact glass and 10% crushed glass, chemical recycling, and Full Recovery End-of-Life Photovoltaic. Life Cycle Assessment comprehensively evaluates their carbon emissions, costs, and mitigation potential. Under carbon policy scenarios, Evolutionary Game Theory simulates strategic interactions among governments, manufacturers, and recyclers, integrating system dynamics to analyze evolutionary stability, followed by sensitivity analysis of key parameters. Results show substantial differences in carbon emissions and mitigation potential across technologies. Mechanical recycling has the lowest process emissions (702.2 kg CO₂/t) but limited reduction potential (−4612 kg CO₂/t), whereas Full Recovery End-of-Life Photovoltaic has higher emissions (1113 kg CO₂/t) but achieves the greatest mitigation (−5694 kg CO₂/t). Treatment and equipment depreciation account for over 50% of total recycling costs. Evolutionary Game Theory identifies an initial equilibrium of E6 (1, 0, 1) and highlights recycler subsidies (0.28–0.38) and penalty intensity (≥0.32) as key factors influencing behavioral evolution. Promoting high-efficiency recycling, strengthening carbon market mechanisms, and expanding large-scale capacity are crucial for China's PV recycling low-carbon transformation. This study provides theoretical and policy insights for sustainable PV waste management.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147786"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A QSAR-machine learning hybrid model for predicting the ecotoxicity of soil organic compounds and deriving thresholds","authors":"Yuan Liu,&nbsp;Ruyu Fu,&nbsp;Ying Xue,&nbsp;Mengjia Li,&nbsp;Xuedong Wang","doi":"10.1016/j.jclepro.2026.147869","DOIUrl":"10.1016/j.jclepro.2026.147869","url":null,"abstract":"<div><div>Soil organic pollution threatens the integrity of ecosystems. Traditional ecotoxicity assessments face data scarcity and are also limited by linear models. This study developed a machine learning-quantitative structure-activity relationship (ML-QSAR) model, which integrated 2108 toxicity data points (77 species, 305 compounds) and incorporated molecular descriptors derived from density functional theory (DFT). The ecological thresholds were derived via species sensitivity distribution (SSD). The results indicated that the Random Forest (RF) algorithm outperformed XGBoost and CatBoost, with a training/test R² of 0.968/0.824. The external validation showed that 95.9% of the predictions error were within 1.5-fold error. Global feature analysis identified entropy, dipole moment (<em>μ</em>), and soil moisture as core driving features. Entropy regulated toxicity via a threshold effect of 744.5 J/(mol·K), and it increased toxicity by 2.3 times in low entropy ranges. There is a significant interaction between dipole moment (<em>μ</em>) and soil moisture. The toxicity increased by 2.3 times under combined conditions of <em>μ</em> &gt; 4.4 Debye and soil moisture &gt;31.7%. Toxicity is modulated by the interaction of soil silt content and 22 parameters. The goodness-of-fit value of the SSD curve constructed from model predictions exceeded 0.91. The derived ecological safety threshold (PNEC) for dinitrotoluene was 5.498 mg/kg, which is far lower than that for anthracene oil, hexabromocyclododecane, and perfluorooctanoic acid, and is therefore considered the highest risk pollutant. This framework overcomes linear limitations of traditional QSAR models, and provides a high-throughput tool for soil contaminant risk screening.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147869"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A bi-objective optimization model for task scheduling in human-robot collaboration considering maintenance operations and energy consumption under uncertainty","authors":"M. Nasiri Lakeh,&nbsp;Behnam Vahdani,&nbsp;P. Azimi,&nbsp;H.R. Gholami","doi":"10.1016/j.jclepro.2026.147876","DOIUrl":"10.1016/j.jclepro.2026.147876","url":null,"abstract":"<div><div>This research unveils a unique integrated scheduling problem within an automated, multi-floor vertical farming tower, which acts as a viable urban agriculture solution for promoting sustainable food production. To this end, a bi-objective optimization model is formulated to simultaneously schedule four essential elements in the system, which consists of automated elevators, transport robots, human-assisted robots, and human workers, along with the maintenance tasks of automated elevators. In this regard, the first objective function minimizes the total completion time of operations, while the second one minimizes the total energy consumption of transport robots. Furthermore, this research encompasses all aspects of agricultural operations, namely planting, cultivation, and harvesting, to ensure that the proposed model is as maximally applicable as possible. In this context, a wide array of precedence, synchronization, and non-interference constraints are incorporated to offer a comprehensive strategy for addressing transportation and production challenges. In addition, the set-induced robust optimization approach is applied to manage the uncertainties linked to the processing times of production agents, the efficiency of transport robots, and their travel times. Ultimately, a detailed numerical analysis is conducted to evaluate the validity and applicability of the developed model and uncertainty approach. The computational analysis shows that increasing the number of transport robots by 30% causes a 37% reduction in the total completion time. In addition, a 50% enhancement in the efficiency of the transport robots leads to a 12% reduction in total completion time, along with a 10% decrease in energy consumption. What is more, the incorporation of safety requirements leads to an approximate increase of 4% in the total completion time.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147876"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing integrated water reuse efficiency in China: Differences across basins and influencing factors","authors":"Ying Zhou ,&nbsp;Fengping Wu ,&nbsp;Chen Feng ,&nbsp;Lina Zhang ,&nbsp;Gen Li","doi":"10.1016/j.jclepro.2026.147707","DOIUrl":"10.1016/j.jclepro.2026.147707","url":null,"abstract":"<div><div>Increasing water reuse (WRU) efficiency is considered a more effective approach to mitigating global water pollution and scarcity. This research sheds light on the inner workings of WRU, extending the analysis by segmenting the WRU into three stages: water use, wastewater treatment, and wastewater reuse. Developing and adapting a three-stage dynamic network DEA framework to the WRU system. The model is applied with evidence of 30 provinces in China, and the dynamic evolution are further analyzed. A geographic detector model and an obstacle degree model were constructed to explore the internal and external factors affecting WRU efficiency. More specifically, the reclaimed water reuse stage progresses more slowly than the water use and wastewater treatment stages. Regions with water scarcity or stress tend to optimize water use more efficiently. Wastewater treatment and reclaimed water reuse stages are becoming more efficient, and the gap between the best and worst performers is shrinking. Among the external factors, the ecological detector most significantly influences WRU efficiency, while the benefit indicator is the main obstacle factor limiting the WRU system, this suggests that the current WRU system has yet to fully maximize its benefit-driven potential. This research provides invaluable insights into the complex dynamics of the WRU system, highlighting the critical need to consider these interconnections when optimizing its performance.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147707"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From production to consumption: Tracking CO2 emission transfers in global trade over 1990-2019","authors":"Jianing Zhang ,&nbsp;Xiaotong Wang ,&nbsp;Xinyi Fu ,&nbsp;Ruifang Wang ,&nbsp;Zhimin Zhang ,&nbsp;Xiurui Guo ,&nbsp;Ying Zhou ,&nbsp;Jianlei Lang ,&nbsp;Dongsheng Chen","doi":"10.1016/j.jclepro.2026.147837","DOIUrl":"10.1016/j.jclepro.2026.147837","url":null,"abstract":"<div><div>As economic globalization and complex supply chains continue to expand, understanding the temporal dynamics and transfer patterns of CO₂ emissions is crucial for effective climate governance. This study employs the environmentally extended multi-region input-output (EE-MRIO) model and structural path analysis (SPA) methods to examine global carbon emissions from both production- and consumption-based perspectives during 1990-2019 and trace embodied carbon flows across sectors and nations. Our analysis reveals that global cumulative CO₂ emissions reached 860.7 Gt over the past three decades, with China (22.7%) and the U.S. (19.1%) leading production- and consumption-based emissions, respectively. Sectoral analysis shows energy-intensive industries such as electricity, gas and water (EGW) dominate production-based emissions (36.6%) and consistently served as net emission outflow sectors throughout the study period. Conversely, construction (CON) and education, health &amp; other services (EHO) emerged as leading consumption-based emitters due to their reliance on embodied carbon, with CON transitioning from a net-zero sector to a net emission inflow sector. Nationally, 9.7% (83.2 Gt) of global CO₂ emissions have been embodied in international trade driven by final consumption, revealing distinct patterns: developing nations (e.g., China, India) consistently were net carbon exporters, while developed nations (e.g., U.S., Japan) were net importers. The global carbon flow network has become more complex, with traditional economic powers (U.S., Japan, China) retaining dominance, while India rises as a key emitter. These findings highlight the need for fair climate strategies that consider evolving supply chains and foster international cooperation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"548 ","pages":"Article 147837"},"PeriodicalIF":10.0,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147410882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable pathways for double-stage compression gas turbine–based polygeneration via energy–exergy–environmental optimization and pinch-based heat recovery","authors":"Masood Ebrahimi,&nbsp;Soran Majidi","doi":"10.1016/j.jclepro.2026.147846","DOIUrl":"10.1016/j.jclepro.2026.147846","url":null,"abstract":"<div><div>This study investigates a gas turbine–based polygeneration system integrating a multi-effect desalination (MED) unit and an absorption chiller for simultaneous production of electricity, freshwater, and cooling. The system recovers waste heat from both the turbine exhaust and air compression processes to enhance overall efficiency. Five heat recovery scenarios are proposed and evaluated based on energy, exergy, and environmental performance indicators. A comprehensive multi-criteria decision-making approach, referred to as the Triple-E function, is introduced to identify the optimal configuration. Pinch analysis is employed to design efficient heat recovery pathways, and the models of key components are validated against manufacturer data and literature benchmarks. Results indicate that for the unrecuperated cycle, utilizing compression heat for the chiller and exhaust heat for desalination (Scenario 1) offers the best overall performance, achieving energy and exergy efficiencies of 70.79 % and 52.77 %, respectively, along with a fuel energy saving ratio of 30.02 %. Additionally, annual reductions in carbon dioxide, carbon monoxide, and nitrogen oxides emissions reach 103,173, 561, and 69 tons, respectively. These findings demonstrate the significant potential of thermally integrated gas turbine–based polygeneration systems to enhance energy utilization and environmental sustainability.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"548 ","pages":"Article 147846"},"PeriodicalIF":10.0,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}