Energy nexus最新文献

{"title":"Evaluating the viability of installing photovoltaic panels on irrigation canals for energy generation and water storage","authors":"Ali Kaab ,&nbsp;Hassan Ghasemi-Mobtaker ,&nbsp;Mohammad Sharifi ,&nbsp;Uffe Jørgensen","doi":"10.1016/j.nexus.2025.100455","DOIUrl":"10.1016/j.nexus.2025.100455","url":null,"abstract":"<div><div>This innovative strategy leverages solar energy to deliver clean, renewable power for irrigation pumps and related equipment, while also facilitating water storage. A study conducted by the IKAIC in Khuzestan province, Iran, explored the installation of PV systems on canal irrigation systems. The study indicates a PV system generates 7.22 GJ of solar energy per m² annually. To power the study area, about 23.3 ha of panels are needed. Utilizing the 114 ha of irrigation canals, if fully covered, could yield around 8233 TJ of energy, with an excess of 6550 TJ available for the grid. However, mutual shading limits usable panel coverage to 60 %, resulting in about 68.40 ha of coverage and generating approximately 4940 TJ, with 3257 TJ connectable to the grid. The analysis revealed that initial evaporation from the canal surface was around 1389,597 m³ annually. After the installation of PV panels, this figure fell to 764,278 m³, reflecting a reduction of 625,319 m³. This transforms to an approximate decrease of 11 ± 4 thousand m³ of water evaporation per km of canal. Thus, the implementation of PV panels on irrigation canals is highly recommended for both energy production and water conservation. This approach optimizes land use, supports sustainable development, and tackles the intertwined challenges of energy generation and water management. By harnessing solar power and utilizing existing infrastructure, this solution offers the potential to transform energy production and water resource management.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100455"},"PeriodicalIF":8.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099134","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":"Biochar from co-pyrolysis of spent coffee ground with Leptolyngbya sp. KC 45 biomass and residue for energy and agricultural utilization","authors":"Nuapon Duongbia ,&nbsp;Wassana Kamopas ,&nbsp;Khomsan Ruangrit ,&nbsp;Thoranis Deethayat ,&nbsp;Attakorn Asanakham ,&nbsp;Tanongkiat Kiatsiriroat","doi":"10.1016/j.nexus.2025.100454","DOIUrl":"10.1016/j.nexus.2025.100454","url":null,"abstract":"<div><div>As the global population continues to grow, the demand for resources in agriculture, energy, and industry is also increasing, along with higher waste production. This study explored the potential of using spent coffee grounds (SCG) from local coffee shops in Chiang Mai, Thailand, for co-pyrolysis with either <em>Leptolyngbya</em> sp. KC 45 (LT) or its residue (LTR)—materials containing valuable antioxidants and pigments used in food, cosmetics, and medicine. The study investigates the chemical properties, quality characteristic, and morphology of the biochar. Various co-pyrolysis ratios of SCG to either LT or LTR (1:0, 2:1, 1:1, 1:2, 0:1) were tested, with 50 g of the mixture pyrolyzed at 500 °C in a fixed-bed reactor, using a heating rate of 5–10 °C/min, nitrogen flow of 100 ml/min, and a 1-hour holding time. Results showed that higher LT or LTR proportions increased biochar yield. Pure SCG biochar had a high heating value of 33.61 MJ/kg, confirming its fuel quality. Co-pyrolyzed biochars exhibited mesoporous structures and improved properties such as pH (6.2–6.5), electrical conductivity (1.01–1.45 dS/m), and C/N ratio (14.53–22.64), indicating their potential as soil amendments. This research contributes to reducing environmental waste by adding value to waste materials.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100454"},"PeriodicalIF":8.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107072","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":"Harnessing urban biomass for energy and water production: an NSGA-II-based optimization approach","authors":"Parviz Heydari Nasab ,&nbsp;Ata Chitsaz ,&nbsp;Hiva Rashidzadeh ,&nbsp;Alireza Rostamzadeh Khosroshahi","doi":"10.1016/j.nexus.2025.100449","DOIUrl":"10.1016/j.nexus.2025.100449","url":null,"abstract":"<div><div>In this research, were propose a multiple-system that includes gasification for syngas and heat production, a Brayton cycle for power generation, and the utilization of waste heat from the turbine. This waste heat is used in a two-effect absorption refrigeration system to produce cooling and in a 24-step, multi-stage flash (MSF) desalination process to produce fresh water. A certain amount of natural gas is added as an auxiliary fuel to increase the calorific value of the syngas produced in the gasifier. The main driver is biomass from municipal solid waste due to its renewable nature and availability in all cities. This system is thermodynamically modeled using the Engineering Equation Solver (EES) software. It provides integrated analysis and investigation of the effects of energy, exergy, and the Levelized Cost Of Energy (LCOE) and Levelized Cost Of Exergy (LCOEx) in multi-objective optimization of multiple-systems to achieve maximum efficiency and minimum cost. It has been validated with similar papers. Finally, using objective functions, the (LCOE) and exergy efficiency has been optimized using MATLAB software with the Non-dominated Sorting Genetic Algorithm (NSGA II) method. The results indicate that the system achieves a net power Output of 18.756 MW, a heating capacity of 1.75 MW, a cooling capacity of 17.77 MW, and a freshwater production rate of 47.7 kg/s. The energy efficiency is calculated to be 73.51 %, with an exergy efficiency of 26.31%. The (LCOE) and (LCOEx) are 0.062 $/kWh and 0.236 $/kWh, respectively. The system is designed with a useful life of 25 years. Optimization results reveal that the optimal range for the (LCOE) is between 0.0566 and 0.0592 $/kWh, while the exergy efficiency ranges between 26.21 % and 28.09 %.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100449"},"PeriodicalIF":8.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143946500","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":"Optimal sizing of a grid-connected DC microgrid for agricultural applications with water-energy management system considering battery cycle life","authors":"Mohammad Hossein Mokhtare,&nbsp;Ozan Keysan","doi":"10.1016/j.nexus.2025.100445","DOIUrl":"10.1016/j.nexus.2025.100445","url":null,"abstract":"<div><div>This paper presents an optimal sizing method for a DC microgrid topology commonly installed in agricultural farms. The microgrid comprises solar photovoltaic (PV) panels, a battery energy storage system (BESS), an electric water pump, an elevated water reservoir (WR), and a household electrical load. The sizing optimization procedure includes selecting a suitable PV array size and optimizing the WR and BESS capacities. For the technical evaluation of possible solutions, a water-energy management system (WEMS) is proposed. Water is treated as an independent demand. The irrigation regime is modeled on the basis of farmers’ experiential knowledge and a temperature constraint to avoid unnecessary evaporation due to irrigation in high temperatures. Moreover, the battery cycle and calendar lifetimes are integrated into the presented sizing method. A case study is conducted for an actual farm with real data. Comparative simulations with alternative topologies show that the PV-BESS-Grid microgrid with solar water pumping is the most techno-economically efficient topology. The target farm, while supplied only from the grid, has a levelized cost of energy (LCOE) equal to 401 $/MWh. However, the presented sizing method finds a DC agricultural microgrid configuration that provides energy with an LCOE of 223 $/MWh. This is a significant 44% decrease in the LCOE. With the optimal solution, around 77% of the energy needs of the farm are supplied from renewable solar energy. In addition, wasted solar energy decreases by 62.4% compared to a standalone solar pumping system. Sensitivity analysis is performed by varying critical parameters to observe the impacts on the optimal solution.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100445"},"PeriodicalIF":8.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941262","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":"Impact of ozone nanobubble on water quality, gut microbiota, and growth performance of white leg shrimp (Penaeus vannamei) in an intensive indoor farming system","authors":"Phan Trong Binh ,&nbsp;Phan Thi Van ,&nbsp;Nguyen Huu Nghia ,&nbsp;Tong Tran Huy ,&nbsp;Le Thi May ,&nbsp;Sophie St-Hilaire ,&nbsp;Pham Thai Giang","doi":"10.1016/j.nexus.2025.100450","DOIUrl":"10.1016/j.nexus.2025.100450","url":null,"abstract":"<div><div>This study evaluated the effects of ozone nanobubbles (NB-O₃) on water quality, growth performance, survival rate, and gut microbiota in intensive indoor farming of white-leg shrimp (<em>Penaeus vannamei</em>). The experiment lasted 12 weeks and included two groups: (1) NB-O₃ treatment at 0.3 mg/L ozone concentration and (2) a control group without NB-O₃ treatment. Water quality parameters including temperature, dissolved oxygen (DO), pH, and Oxidation–Reduction Potential (ORP) were monitored daily. Weekly analyses were conducted for Chemical Oxygen Demand (COD), Biochemical Oxygen Demand after 5 days (BOD₅), Ammonia Nitrogen (NH₃-N), Nitrite Nitrogen (NO₂-N), and Vibrio counts. Shrimp weight was recorded weekly, while final biomass (FB), final body weight (FBW), survival rate (SR), feed conversion ratio (FCR), specific growth rate (SGR), and mean weekly weight gain (MWWG) were evaluated at the end of study. Gut microbiota samples were collected on days 1, 60, and 84. The results showed that NB-O₃ significantly reduced COD, total <em>Vibrio</em>, and NH₃-N levels compared to the control (<em>p</em> &lt; 0.05). Shrimp in the NB-O₃ group exhibited significantly higher weights from week 5 onwards (<em>p</em> &lt; 0.05), with improved FB, FBW, SGR, and MWWG compared to the control (<em>p</em> &lt; 0.05). However, SR and FCR were lower in the NB-O₃ group (<em>p</em> &lt; 0.05). Dominant gut microbiota phyla in NB-O₃-treated shrimp were Proteobacteria, Bacteroidota, and Acinobacteriota, with their proportions recorded as 72.27 %, 13.82 %, and 6.72 % on day 1; 60.75 %, 17.16 %, and 18.64 % on day 60; and 45.74 %, 40.25 %, and 8.44 % on day 84, respectively. Significant differences in alpha and beta diversity were observed between groups on days 1 and 60 (<em>p</em> &lt; 0.05). <em>Vibrio parahaemolyticus</em> density was lower in NB-O₃-treated shrimp (<em>p</em> &lt; 0.05). These findings demonstrate that NB-O₃ improves water quality, enhances shrimp growth performance, and effectively regulates <em>Vibrio</em> spp. in intensive indoor farming systems. To the best of our knowledge, this is the first study to report the effects of NB-O3 on shrimp gut microbiota.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100450"},"PeriodicalIF":8.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929589","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":"Microcredit and household energy consumption: Exploring the impact of The Kredit Usaha Rakyat (KUR) program in Indonesia","authors":"Diana Setyawati ,&nbsp;Djoni Hartono","doi":"10.1016/j.nexus.2025.100446","DOIUrl":"10.1016/j.nexus.2025.100446","url":null,"abstract":"<div><div>Energy constraints significantly impact household welfare and the quality of life. Developing countries, such as Indonesia, continue to face challenges in meeting household energy needs. This study investigates the impact of microcredit access on Indonesian households' energy consumption. Understanding this relationship is essential for insights into how microcredit can affect energy use in the context of developing countries. Using data from 2019 (pre-pandemic) and 2021 (during the pandemic), this study uniquely bridges a gap in the literature by analyzing both pre-pandemic and pandemic periods. This offers novel insights into how microcredit programs respond to dynamic economic conditions. We employ the two-stage least squares (2SLS) method with instrumental variables to address potential causality issues. Our findings reveal a positive relationship between access to microcredit and household energy consumption expenditures. By comparing pre-pandemic and pandemic periods, the study highlights how economic conditions affect the effectiveness of microcredit programs. Moreover, regional analysis reveals variations in the impact of microcredit across Indonesia. This study contributes to understanding how microcredit programs affect household energy consumption, taking into account economic conditions and spatial effects. Our findings offer policy implications for enhancing household energy consumption through microcredit programs. Policymakers should consider regional needs and evolving economic conditions to optimize the effectiveness of microcredit programs.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100446"},"PeriodicalIF":8.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932041","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":"Integrated DDPG-PSO energy management systems for enhanced battery cycling and efficient grid utilization","authors":"Oladimeji Ibrahim ,&nbsp;Mohd Junaidi Abdul Aziz ,&nbsp;Razman Ayop ,&nbsp;Wen Yao Low ,&nbsp;Nor Zaihar Yahaya ,&nbsp;Ahmed Tijjani Dahiru ,&nbsp;Temitope Ibrahim Amosa ,&nbsp;Shehu Lukman Ayinla","doi":"10.1016/j.nexus.2025.100448","DOIUrl":"10.1016/j.nexus.2025.100448","url":null,"abstract":"<div><div>Effective energy management is crucial in hybrid energy systems for optimal resource utilization and cost savings. This study integrates Deep Deterministic Policy Gradient (DDPG) with Particle Swarm Optimization (PSO) to enhance exploration and exploitation in the optimization process, aiming to improve energy resource utilization and reduce costs in hybrid energy systems. The integrated DDPG-PSO approach leverages DDPG's reinforcement learning and PSO's global search capabilities to enhance optimization solution quality. The PSO optimizes the DDPG actor-network parameters, providing a strong initial policy. DDPG then fine-tunes these parameters by interacting with the energy system, making decisions on battery scheduling and grid usage to maximize cost rewards. The results show that the integrated DDPG-PSO EMS outperforms the traditional DDPG in terms of battery scheduling and grid utilization efficiency. Cost evaluations under critical peak tariffs indicate that both EMS algorithms achieved a 34 % cost saving compared to a grid-only system. Under differential grid tariffs, the proposed DDPG-PSO approach achieved a 28 % cost reduction, outperforming the standalone DDPG, which achieved a 25 % saving. Notably, the DDPG-PSO effectively reduced overall grid dependency, yielding a total operational cost of $665.19, compared to $780.70 for the DDPG. resenting a 14.8 % reduction. The battery charge/discharge profiles further highlight the advantages of the DDPG-PSO strategy. It demonstrated more stable and efficient energy flow behavior, characterized by shallow cycling and partial discharges sustained over several hours. In contrast, the DDPG exhibited more aggressive deep cycling, fluctuating frequently between minimum and maximum charge levels. This improved energy flow management by DDPG-PSO not only reduces wear on the battery system but also promotes long-term sustainability and reliability in hybrid energy management.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100448"},"PeriodicalIF":8.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084020","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":"Energy resilience enhancement against grid outages for a zero-emission hotel building via optimal energy management of onshore and offshore energy storages","authors":"Haojie Luo ,&nbsp;Sunliang Cao","doi":"10.1016/j.nexus.2025.100431","DOIUrl":"10.1016/j.nexus.2025.100431","url":null,"abstract":"<div><div>Increasing integration of renewable energy into building systems necessitates enhanced flexibility and resilience to maintain stability under dynamic grid conditions and unexpected outages. Existing research inadequately addresses energy flexibility for demand response and resilience during outages, underutilises hybrid mobile/stationary electrical/mechanical energy storage, and overlooks ocean-based renewable energy potential. To bridge these gaps, this study develops an advanced energy management system leveraging building batteries, electric vehicles, and wave energy converter reservoirs to improve flexibility and resilience in a net-zero energy building. Scenario-based analyses demonstrate that coordinated activation of sources outperforms single-source strategies. Coordinated control increased the flexibility index to 192.67% (1.93 times incentives), reducing costs to 80.66%; prioritisation further boosted flexibility to 199.89% and lowered costs to 79.52%. Resilience was enhanced by integrated wave energy converters, which enabled strategic energy storage/release, elevating from approximately 83% to over 99%, nearly eliminating CO₂ emissions and diesel backup reliance. Coordinating flexibility sources mitigates power shortages and reduces energy lag, strengthening system flexibility and outage resilience. The study’s originality lies in pioneering hybrid storage integration for dual flexibility-resilience objectives, novel utilisation of wave energy converters as demand-responsive assets, and efficient control strategies addressing profit maximisation and outage recovery. This research provides practical implications for reducing fossil fuel reliance and ensuring stable operations during grid disturbances, particularly applicable to coastal urban areas with ocean energy potential and electric vehicle adoption, offering a replicable model for net-zero transitions. This work bridges critical gaps in flexibility source coordination and ocean energy utilisation, advancing resilient, grid-interactive smart buildings.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100431"},"PeriodicalIF":8.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932040","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":"Carbon footprint reduction in Punjab agriculture: Analyzing impacts and strategies in major crop rotations","authors":"Simarjot Kaur ,&nbsp;Baljinder Kaur Sidana ,&nbsp;Samanpreet Kaur ,&nbsp;Asim Biswas","doi":"10.1016/j.nexus.2025.100424","DOIUrl":"10.1016/j.nexus.2025.100424","url":null,"abstract":"<div><div>This research aimed to evaluate the carbon footprints in Punjab's agriculture, focusing on crop production and its mitigation strategies. Utilizing both primary and secondary data, the study sampled 120 farmers from two Punjab districts, Mansa and Sri Muktsar Sahib, through a multi-stage sampling technique. The sample was equally divided between farmers practicing paddy-wheat and cotton-wheat crop rotations. Secondary data, including emission factors for various agricultural inputs, were compiled from published sources. The study further categorized Resource Conservation Technology (RCT) adopters into specific scenarios for both crop sequences. The study reveals that emissions from paddy-wheat crop rotation (14,176 176 ± 3027 kg CO₂eq/ha) are 3.5 times higher than that of cotton-wheat crop rotation. RCTs showed the significance reduction in carbon emissions in case of both crop rotations ranging from 0.5 to 194 % The findings also reveal that paddy cultivation is the principal carbon emitter, with emissions five times higher than wheat and cotton. The carbon footprint resulting from paddy residue burning was found to be 6997 ± 1660 kg CO₂eq/ha, significantly reduced by 95 % to 161 - 311 kg CO₂eq/ha in farmers adopting CRM techniques. Methane emissions from P_PTR farms were significant (1747 ± 843 kg CO₂eq/ha), constituting 16 % of total GHG emissions, whereas DSR farms showed no methane emissions. Adoption of C_IPM+W_CT leads to reduction in carbon emissions from insecticides by 23 % than C_CT+W_CT. The study advocates for financial incentives to motivate farmers towards adopting RCTs and ensuring timely availability of machinery for crop residue management and no-till practices for effective carbon footprint reduction. These findings highlight the critical need for integrated strategies involving technology adoption, efficient management practices, and policy interventions to achieve sustainable agricultural development and significantly reduce carbon emissions in Punjab's agriculture.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100424"},"PeriodicalIF":8.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099062","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":"Asymmetric behavior of average temperature and rainfall on rice production in Bangladesh","authors":"Md. Mamun Miah ,&nbsp;Md. Golam Kibria ,&nbsp;Nazhat Nury Aspy ,&nbsp;Kabir Hossain","doi":"10.1016/j.nexus.2025.100429","DOIUrl":"10.1016/j.nexus.2025.100429","url":null,"abstract":"<div><div>In light of today's scenario of global food security, developing economies need to meticulously monitor both the immediate and future influence of climate change on agricultural operations, as well as the possibility of perpetual adaptation. Regarding this issue, this inquiry aims to identify the asymmetrical behaviors of average temperature and rainfall on Bangladesh's rice yield. After assessing data from 1985 to 2021, the NARDL affirms that, although changes in average temperature hurt long-term yields of rice, they stimulate short-term production. In the short term, rainfall shocks, whether positive or negative, significantly boost rice yield, but in the long run, they have no significant influence. Conversely, carbon dioxide emissions have negative effects on rice output in the long run. Using fertilizer for longer periods augments rice yield in the long and short term. As part of policy suggestions, the government should compensate organic fertilizer users and stimulate sustainable behaviors to control average temperature and carbon dioxide emissions in Bangladesh.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100429"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899328","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}