Energy for Sustainable Development最新文献

{"title":"From litter to energy: Effect of alkali pretreatment on biogas production from poultry litter and slurry characteristics","authors":"Rajneesh Thakur ,&nbsp;Chandrahas ,&nbsp;Ayon Tarafdar ,&nbsp;Seema Yadav ,&nbsp;Ranjeet Godara ,&nbsp;Mukesh Singh ,&nbsp;Chandra Deo ,&nbsp;Raj Narayan","doi":"10.1016/j.esd.2025.101799","DOIUrl":"10.1016/j.esd.2025.101799","url":null,"abstract":"<div><div>Biogas production from various organic substrates has been extensively studied globally, to conserve natural resources, mitigate environmental harm associated with fossil fuels, and address challenges such as energy scarcity and escalating fuel costs. Poultry litter is one such organic substrate that has the potential for use in biogas production. Anaerobic digestion of broiler litter involves co-digestion with carbonaceous substrates under controlled environmental conditions; however, production using broiler litter as the main substrate on a large scale under field conditions has been less studied. In the present experiment, alkali pretreatment of poultry litter was carried out to produce a higher quantity of biogas without any other co-substrate. Three treatments were given as no alkali pretreatment (B₀), alkali pretreatment @ 0.1 mol/L (B₁), and 0.2 mol/L (B₂). The initial and daily organic loading rate (OLR) was kept at 25.40 gVS/L and 1.06 gVS/L, respectively, in all treatments due to a similar dilution rate of 1:10 and digester volume. Results showed that Hydraulic Retention Time (HRT) was lowest in B₁ (28 days) followed by B₂ (40 days) and then in control (B₀) (51 days). B₁ had the highest average daily biogas yield (0.0186 m³), followed by B₂ (0.0105 m³), and then B₀ (0.0013 m³). The composition of biogas also varied significantly between days as well as treatments with the highest methane percent in B₂, but the average daily methane yield was significantly higher in B₁. Analysis of digested poultry litter slurry revealed significant (<em>P</em> &lt; 0.01) differences in physico-chemical characteristics and proximate composition across treatments and days. It was concluded that alkali pretreatment @ 0.1 mol/L enhances the biogas production potential of poultry litter and slurry obtained along can be utilized as fertilizer. This study offers a sustainable solution for the poultry industry by enabling efficient waste management and renewable energy generation.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101799"},"PeriodicalIF":4.4,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pathways for resource-based cities in China to achieve carbon peaking: A case study of Taiyuan, a resource-based provincial capital","authors":"Yingying Xiong ,&nbsp;Zhixin Zhai ,&nbsp;Shiyu Zhang ,&nbsp;Zefeng Wang ,&nbsp;Yu Niu","doi":"10.1016/j.esd.2025.101797","DOIUrl":"10.1016/j.esd.2025.101797","url":null,"abstract":"<div><div>Resource-based cities require specialized energy planning solutions and policies due to their unique environments, which present both opportunities and challenges for developing effective energy policies. This paper utilizes System Dynamics (SD) and the Long-range Energy Alternatives Planning System (LEAP) models to examine the carbon peak pathway of resource-based cities. We apply the integrated SD-LEAP model to Taiyuan, a typical city in China's resource-based cities. This study examines three scenarios: the Industrial Transformation (ITR) Scenario, the Energy Efficiency Improvement (IMP) Scenario, and the Extended Development (EDV) Scenario. The findings demonstrate that several successful energy and climate policies can help build a low-emission economy based on energy-efficient businesses. One must carefully consider Taiyuan's situation and current obstacles when creating energy transition policies. A combination of aspects from the IMP and ITR scenarios could form an effective improvement plan for the future. Energy policies that are appropriately implemented and coordinated can facilitate Taiyuan's transition to a low-carbon economy.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101797"},"PeriodicalIF":4.4,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying soft-link and geospatial methods for optimal hybrid microgrids and electric network designs: A case study on rural Mozambique settings","authors":"Berino Francisco Silinto ,&nbsp;Darlain Edeme ,&nbsp;Silvia Corigliano ,&nbsp;Aleksandar Dimovski ,&nbsp;Marco Merlo ,&nbsp;Christian Zuidema ,&nbsp;André Faaij","doi":"10.1016/j.esd.2025.101790","DOIUrl":"10.1016/j.esd.2025.101790","url":null,"abstract":"<div><div>Decentralised-based hybrid renewable energy systems represent one of the cost-effective solutions for supporting access to and the provision of reliable and secure electricity services in rural developing regions. Electrification planning tools considering the specificities of targeted areas concerning uncertainties about energy demands and resources, including the technology-cost trends, are essential for proper system integration. This work, therefore, proposes a comprehensive geospatial-based optimisation modelling framework based on GISEle tool, which was expanded to size hydropower technology in addition to its integrated wind and solar capabilities. Moreover, its procedures were interlinked with two external open-source assessment tools: the SWAT model for hydro resource potential and RAMP for energy demand, combined with tailored publicly available geospatial and interview-based data. The newly expanded framework was applied to the Majaua-AP case study in Mozambique by modelling three evolving demand scenarios under two community-grid spatial scales to plan a cost-effective electrification strategy. The analysis results emphasise that communities with differing population sizes, and power pick values can be identified in any region depending on the project settings. Additionally, it revealed that local circumstances influence the best techno-economic sizing regarding optimal network distribution and hybrid microgrid configuration designs. The grid routing layout shows a good approximation compared to ground realities. For each community, a portfolio of generation system configurations including either diesel+renewables (PV/Hydro/diesel/batteries, PV/diesel/batteries) or 100 % renewables share (PV/hydro/batteries, PV/batteries, and hydro/batteries) were achieved. The latter becomes mostly attractive under fixed demand and high fuel price scenarios; among individual community-based system configurations, the net present costs (NPC) range from US$k41–5384 (grid expansion) and US$k152–22,562 (generation) while US$k19,156 (grid expansion) and US$k46,426 (generation) considering the whole region. The levelised costs of electricity (LCOE) ranged from US$/kW 0.112–0.247. Finally, the evolving demand including hydro in the technology mix allowed substantial LCOE reduction in most of the installed communities.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101790"},"PeriodicalIF":4.4,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydropower resilience in the Narayani River Basin: Multi-scenario insights on reliability and vulnerability under climate and land use change","authors":"Nirajan Devkota,&nbsp;Suraj Lamichhane,&nbsp;Pawan Kumar Bhattarai","doi":"10.1016/j.esd.2025.101786","DOIUrl":"10.1016/j.esd.2025.101786","url":null,"abstract":"<div><div>Hydropower systems are highly sensitive to climate variability, necessitating robust assessments for long-term sustainability. This study employs the SWAT hydrological model for the Narayani River Basin in the Hindu Kush Himalayan Region. Climate change projections from General Circulation Models (GCMs) are integrated with land use change scenarios to assess their combined impact on hydropower performance through Reliability, Vulnerability, and Resilience (RVR) analysis. Reliability is the system's ability to consistently meet demand, Vulnerability evaluates its exposure to climate disruptions, and Resilience gauges its capacity to recover after disturbances. Future climate scenarios “wet-cool”, “wet-warm”, “dry-cool”, and “dry-warm” capture projected variations in temperature and precipitation. Results reveal significant seasonal and systemic disparities: snow-fed systems exhibit superior reliability, consistently exceeding the 0.95 reliability threshold post-monsoon due to sustained snowmelt, whereas rain-fed systems struggle during winter and pre-monsoon periods. Despite lower reliability, rain-fed systems maintain low vulnerability (&lt;0.5) across all seasons, highlighting their inherent resilience to disruptions. Monsoon conditions enhance performance for both systems, achieving near-perfect resilience (score = 1), though dry-warm climates exacerbate vulnerability due to increased water scarcity. The analysis underscores critical climate-driven risks, with snow-fed systems being more affected by snowmelt variability and rain-fed systems by groundwater recharge limitations. To mitigate climate uncertainties, this study recommends adaptive strategies, including prioritizing enhanced water storage over run-of-river projects. By integrating multi-model GCMs projections with RVR metrics, this research advances hydropower resilience planning, advocating for localized climate adaptation and infrastructure investments to ensure sustainable energy security in a warming world.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101786"},"PeriodicalIF":4.4,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of shallow geothermal energy for industrial heating using high-temperature heat pumps in Sichuan Province, China","authors":"Jiaxin Zheng ,&nbsp;Licheng Sun ,&nbsp;Xin Xu ,&nbsp;Xiting Long ,&nbsp;Tianyi Gao ,&nbsp;Entong Xia ,&nbsp;Biao Li ,&nbsp;Shuheng Li ,&nbsp;Jun Wang ,&nbsp;Zhengyu Mo ,&nbsp;Min Du ,&nbsp;Jie Wang ,&nbsp;Haoran Wang ,&nbsp;Heping Xie","doi":"10.1016/j.esd.2025.101785","DOIUrl":"10.1016/j.esd.2025.101785","url":null,"abstract":"<div><div>Industrial energy consumption plays a pivotal role in the global energy landscape and offers considerable potential for carbon emission mitigation. The integration of shallow geothermal energy, which is widely distributed and easily accessible, with high-temperature heat pump technology presents a viable solution for industrial heating applications requiring temperatures below 100 <span><math><mo>°</mo></math></span>C. This study investigates the feasibility of utilizing shallow geothermal energy and existing oil and gas wells for industrial process heating in major cities of Sichuan Province, China. Through a comprehensive analysis of low-temperature industrial heating demand, shallow geothermal energy potential, existing well resources, and project economic benefits, the study reveals that a substantial low-temperature industrial heating demand of approximately 116.3 million GJ (3.97 million tons of standard coal equivalent (tce)) in the study area. Sichuan Province possesses significant exploitable shallow geothermal energy resources, estimated at 410.3 million GJ (14 million tce), along with 10,000 oil and gas wells and thousands of abandoned wells, which collectively can satisfy this demand. Economic analysis indicates that the Levelized Cost of Heating (LCOH) for shallow geothermal projects is 0.057 USD/<span><math><msub><mrow><mtext>kWh</mtext></mrow><mrow><mtext>th</mtext></mrow></msub></math></span> (0.400 CNY/<span><math><msub><mrow><mtext>kWh</mtext></mrow><mrow><mtext>th</mtext></mrow></msub></math></span>), while existing well projects demonstrate a lower LCOH of 0.039 USD/<span><math><msub><mrow><mtext>kWh</mtext></mrow><mrow><mtext>th</mtext></mrow></msub></math></span> (0.271 CNY/<span><math><msub><mrow><mtext>kWh</mtext></mrow><mrow><mtext>th</mtext></mrow></msub></math></span>), both slightly higher than natural gas boiler costs. The economic assessment shows that shallow geothermal projects can achieve a maximum Net Present Value (NPV) of approximately 1.01 billion USD (7.08 billion CNY), whereas existing well projects can reach up to 11.92 billion USD (83.45 billion CNY). The Dynamic Payback Period (DPP) analysis reveals that all existing well projects achieve payback within 1 year, while shallow geothermal projects show payback periods ranging from 7 to 14 years. These results substantiate the technical and economic feasibility of implementing shallow geothermal energy and existing well systems for industrial process heating. This model demonstrates significant potential for replication in other urban areas, offering dual benefits of economic advantages for industrial operations and substantial contributions to achieving national carbon neutrality objectives.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101785"},"PeriodicalIF":4.4,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A sustainable decarbonisation roadmap for South African priority agro-processing sub-sectors","authors":"Clint Alex Steed ,&nbsp;Bradley Shawn Mercuur ,&nbsp;Mia Mangaroo-Pilllay","doi":"10.1016/j.esd.2025.101788","DOIUrl":"10.1016/j.esd.2025.101788","url":null,"abstract":"<div><div>South Africa's agro-processing industry is a major contributor to the country's export earnings, but runs on one of the world's most carbon-intensive power grids, which makes the industry itself carbon-intensive. With global population set to exceed 8.5 billion by 2030, escalating demand for low-carbon food collides with the sector's coal-weighted energy mix—turning a core economic asset into both a climate liability and a competitive weak point. Pending hikes in South Africa's Carbon Tax and the EU's Carbon Border Adjustment Mechanism (CBAM) will penalize carbon-heavy producers unless the sector transforms that liability into an advantage.</div><div>This paper reframes decarbonisation from a purely environmental imperative to a <em>currency for trade competitiveness.</em> Building on a soft-systems methodology and a synthesis of rapid- and industrial-decarbonisation frameworks, we propose a three-phase roadmap for fruit-and-vegetable processing, breweries, poultry, and sugarcane milling that (i) captures low-cost efficiency gains, (ii) scales renewables and circular bio-energy, and (iii) electrifies thermal processes to approach net-zero. Scenario analysis shows that failing to decarbonise could add cost to EU-bound exports by 2030, while proactive decarbonisation yields positive net-present value once avoided CBAM tariffs and Carbon Tax liabilities are internalised.</div><div>The roadmap defines clear, cost-effective technology and financing strategies while weaving in a just-transition perspective that protects rural communities as we pursue climate goals. By harnessing systems thinking across policy, finance, and industry practice, it creates a scalable roadmap for carbon-intensive, resource-limited economies to accelerate—and equitably achieve—their net-zero ambitions.</div><div>Finance-ready transition hinges on coherent policies—progressive carbon pricing, targeted incentives, and transparent reporting—working in concert with industry-led innovation. This roadmap equips policymakers, financiers, and plant managers with a concise playbook to sharpen South Africa's agro-processing competitiveness as the global economy races toward low-carbon solutions.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101788"},"PeriodicalIF":4.4,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoupling carbon emissions, economic growth, and health costs toward carbon neutrality in China's regions","authors":"Weiwei Huang ,&nbsp;Huiying Ye ,&nbsp;Nikolay Khabarov ,&nbsp;Jiahui Chen ,&nbsp;YanYan Yu","doi":"10.1016/j.esd.2025.101789","DOIUrl":"10.1016/j.esd.2025.101789","url":null,"abstract":"<div><div>In response to climate change, understanding regional and sectoral carbon emissions is essential for guiding China's low-carbon transition. This study analyzes carbon emission trends across provinces and industries in China from 2006 to 2020, covering the 11th to 13th Five-Year Plan (FYP) periods. Using the Logarithmic Mean Divisia Index (LMDI) method and Tapio decoupling model, we identify key emission drivers and decoupling patterns. Results reveal significant regional disparities: carbon emissions in the Northwest increased by 55 % during the 12th FYP and 46 % in the 13th FYP, reaching 380 million tons, while the Beijing-Tianjin region saw only an 8 % increase and achieved strong decoupling in the 13th FYP. Economic growth remains the main driver of emissions, particularly in the Central and Northern Coast regions, whereas energy intensity and industrial restructuring play important mitigating roles. The share of health expenditures in GDP rose from 4.7 % to 7.1 %, with the Northwest region peaking at 9.1 %, indicating links between emissions and health costs. The findings offer practical insights for region-specific policy design, including energy structure optimization, technological upgrading, and public health considerations.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101789"},"PeriodicalIF":4.4,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing postharvest storage in low- and middle-income countries: Evaluation of the passive evaporative cooling blanket for fruits and vegetables","authors":"Theresa Wittkamp ,&nbsp;Thijs Defraeye ,&nbsp;Rebecca Yegon ,&nbsp;Daniel Onwude","doi":"10.1016/j.esd.2025.101787","DOIUrl":"10.1016/j.esd.2025.101787","url":null,"abstract":"<div><div>Over 30 % of fruit and vegetables produced in low- and middle-income countries is lost from farm to consumer. To combat this, cooling fresh produce after harvest is vital. Evaporative passive cooling is a viable solution, yet it is underutilized mainly due to complexity, scalability, and affordability issues for smallholder farmers. The passive cooling blanket represents a cleaner alternative to current evaporative coolers that can address these challenges. It is a re-usable textile-based blanket filled with a natural padding material such as sawdust or charcoal. However, its performance in real-world conditions has not been tested so far. This study evaluated the efficacy of two cooling blankets with capacities of 0.06 m³ and 0.18 m³ to preserve fresh produce by full-scale outdoor experiments in Kenya. Storage trials on tomato, kale, zucchini, and peas were conducted, comparing the blanket with a traditional charcoal cooler and storage under permanent shade. The blanket effectively lowered air temperature on average by 3–5 °C below ambient, with a maximum reduction of 10 °C during the warmest time of the day. It maintained a constant interior relative humidity of 95 %, which slowed down the wilting of the produce. The cooling efficiency was 70 % during the daytime. The blanket performed slightly better than the traditional large charcoal cooler room in terms of humidity. The quality preservation of the vegetables was improved significantly compared to storage under the shade, reducing postharvest losses by up to 45 %. The combination of cool temperatures and elevated humidity makes this storage method suitable for preserving several fruits or vegetables. A comprehensive cost analysis indicated that the payback period of the blanket is less than three months. Moreover, a survey among smallholder farmers and fruit vendors revealed an extremely high willingness to adopt this blanket. As a result, the passive cooling blanket emerged as a promising and sustainable solution for addressing postharvest storage challenges in low- and middle-income countries.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101787"},"PeriodicalIF":4.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative analysis of in-motion and overnight charging infrastructure design for e-buses","authors":"Abu Nasar,&nbsp;Aman Sharma,&nbsp;N. Nezamuddin","doi":"10.1016/j.esd.2025.101784","DOIUrl":"10.1016/j.esd.2025.101784","url":null,"abstract":"<div><div>With the increasing environmental concern due to using fossil fuels, there is a global trend towards large-scale vehicle electrification. This study examines a scenario where an urban area's current fleet of conventional fossil fuel buses will be replaced with electric buses (e-buses). The study compares two different charging strategies, in-motion charging (IMC) and overnight charging (ONC), for deploying a cost-optimal e-bus system on a city's sub-network to help operators make better decisions. The e-bus systems are designed using Mixed Integer Linear Programs for a sub-network of the real-life bus network in Delhi, India to demonstrate the usability of the study. The results indicated that the e-bus system designed using IMC was about 8 % more economical than charging the buses overnight. The main difference was observed in the charging infrastructure and the battery sizes selected for the e-buses. Using IMC, enabled the e-buses to complete the day's service with a significantly smaller sized battery compared to when the e-buses are charged overnight, leading to savings in cost and the yearly CO₂ emission due to the battery manufacturing process. Sensitivity analysis conducted for battery price trend in the future shows with decreasing battery cost ONC becomes a more economical option, although concerns regarding CO₂ emission remains. This study will help the transit operators and policy makers to make decisions regarding the kind of e-bus system to deploy considering the long-term cost and environmental factors of the same.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101784"},"PeriodicalIF":4.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supply-demand and interplay of food-energy-water nexus system of Hexi Corridor, China","authors":"Xiaoshan Cheng ,&nbsp;Weijing Ma ,&nbsp;Jingjing Yang ,&nbsp;Qiyu Yang ,&nbsp;Yuheng Yue ,&nbsp;Meena Kumari Kolli","doi":"10.1016/j.esd.2025.101782","DOIUrl":"10.1016/j.esd.2025.101782","url":null,"abstract":"<div><div>The Hexi Corridor plays a pivotal role in the sustainable development of the Belt and Road initiative. However, the region is resource-dependent and faces crises such as water scarcity, soil degradation, energy transition challenges, and lack of effective policy coordination. Therefore, based on the STELLA modeling platform, this study establishes a dynamic model of Hexi Corridor to simulate the dynamic interaction of food-energy-water (FEW) systems from 2010 to 2035, to examine the interconnections between the supply, demand, and interrelationship of these three types of resources. The results show that: (1) Compared with 2010, the supply of food in the Hexi Corridor in 2035 exceeded the demand by 600,000 tons, and the energy exceeded about 20 million tons of standard coal. However, the water demand gap of Hexi Corridor will be about 142 million m³. (2) The energy-food correlation coefficient has decreased by approximately 0.01 as a result of advancements in agricultural technology. Additionally, the energy-water and water-food correlation coefficients have respectively increased to 0.02 and 2.06 due to population growth, which has resulted in an escalated demand for energy and food. (3) The sustainability of the comprehensive effects is the strongest, which indicates that the key to the sustainable development of the Hexi Corridor is to improve the technical level and rational utilization of policies to save resources. The findings would contribute to the formulation of data-based recommendations for sustainable resource management policies in the Hexi Corridor.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101782"},"PeriodicalIF":4.4,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}