Energy for Sustainable Development最新文献_第9页

Decision models for minigrid implementation: Emerging role beyond clean energy access - evidence from India with global relevance 微型电网实施的决策模型：超越清洁能源获取的新兴角色——来自印度的具有全球相关性的证据

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-10-23 DOI: 10.1016/j.esd.2025.101857

Madhav Sharma, Anoop Singh

Access to reliable and sustainable electricity remains a critical challenge in regions marked by socio-economic disparities and geographic constraints, exacerbating energy access inequities. Minigrids and microgrids (MGs) emerge as a promising renewable energy solution, bridging the gap in clean energy access while fostering economic development. However, implementing MGs faces significant challenges related to regulations, financing, and socio-economic factors.

This study examines the development of MGs in India, focusing on how evolving regulatory frameworks, socio-economic conditions, and geo-spatial factors influence deployment decisions. The analytical framework developed offers insights adaptable to electricity access planning in other resource-constrained and geographically challenging contexts, thereby extending the research's global relevance. A geo-spatial analysis of 942 public MGs implemented across seven states was conducted, examining variables such as population density, proximity to existing grids, land use, irrigation patterns, and accessibility. Detailed insights were further derived from 610 previously unelectrified villages in Jharkhand, analysing deployment decisions based on socio-economic and geo-spatial parameters. A decision-tree classification model was developed to examine the selection of electrification strategies, including MGs, stand-alone solar systems, or deferred electrification. The findings highlight that MGs have been particularly deployed in challenging terrains, such as flood-prone, forested, and high-altitude areas, where grid extension may be techno-commercially impractical. Sparse population regions necessitate customized MG solutions, while villages with poor road connectivity and greater distances from electricity networks exhibit higher adoption rates of MGs. This study offers evidence-based recommendations for MG deployment and regulatory reforms ensuring non-discrimination and operationalize a USO fund awarding VGF via competitive bidding.

在社会经济差异和地理限制突出的地区，获得可靠和可持续的电力仍然是一项重大挑战，加剧了能源获取的不平等。微型电网和微电网作为一种有前景的可再生能源解决方案出现，在促进经济发展的同时弥合了清洁能源获取方面的差距。然而，实施千年发展目标面临着与法规、融资和社会经济因素相关的重大挑战。本研究考察了印度MGs的发展，重点关注不断发展的监管框架、社会经济条件和地理空间因素如何影响部署决策。所开发的分析框架提供了适用于其他资源受限和地理挑战性背景下的电力接入规划的见解，从而扩展了该研究的全球相关性。对七个州实施的942个公共mg进行了地理空间分析，考察了人口密度、与现有电网的接近程度、土地利用、灌溉模式和可达性等变量。从贾坎德邦610个以前没有通电的村庄进一步获得了详细的见解，分析了基于社会经济和地理空间参数的部署决策。开发了决策树分类模型来检查电气化策略的选择，包括mg，独立太阳能系统或延迟电气化。研究结果强调，MGs尤其被部署在具有挑战性的地形，如洪水易发地区、森林和高海拔地区，在这些地区，电网扩展在技术和商业上可能是不切实际的。人口稀少的地区需要定制的MG解决方案，而道路连通性差且距离电网较远的村庄则具有更高的MG采用率。本研究为MG的部署和监管改革提供了基于证据的建议，以确保非歧视，并通过竞争性招标实施USO基金授予VGF。

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引用次数: 0

Global overview of agrivoltaic system: The future security for food and energy 农业光伏系统全球概览：未来粮食和能源安全

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-10-21 DOI: 10.1016/j.esd.2025.101870

Urvashi Patel , Suprava Chakraborty

Agrivoltaic (AV) systems, which represent a sophisticated integration of solar energy generation techniques alongside conventional agricultural practices, offer a promising and strategically viable approach to effectively address the rapidly escalating global demand for renewable energy sources, while simultaneously promoting the sustainable utilization of land resources in an era of environmental concern. This novel concept fulfills sustainable development goals (SDG) 2, 3, 7, 9, 12, and 13. This comprehensive systematic review article meticulously investigates the multifaceted dimensions of AV such as installation management, advanced technologies (artificial intelligence/machine learning) into AV frameworks for both crop cultivation and livestock shelter purpose, significant microclimate alterations, the shading influences on crop productivity and optimization of land use practices to maximize efficiency as well as sustainability. This review shows that the Land Equivalence Ratio (LER) consistently greater than 1.0, validating the enhanced productivity of co-location. Ultimately, the review conducts a thorough evaluation of the intricate international policy environment by providing a clear, structured framework that categorizes policies into financial, regulatory, and technological enablers. That could potentially facilitate and expedite the widespread adoption of this innovatively transformative technology within the agricultural and energy sectors. Research and development suggested for recommend PV synergies at every different aspects for future farmovoltaics application. This review provides a detailed overview of AV potential as a sustainable, economically feasible, and strategically advantageous solution for future agricultural practices as well as energy production in a rapidly changing world.

农业光伏（AV）系统代表了太阳能发电技术与传统农业实践的复杂整合，为有效解决全球对可再生能源快速增长的需求提供了一种有前途和战略上可行的方法，同时在环境问题时代促进土地资源的可持续利用。这个新颖的概念实现了可持续发展目标（SDG） 2、3、7、9、12和13。这篇全面的系统综述文章细致地研究了AV的多个方面，如安装管理，先进技术（人工智能/机器学习）纳入作物种植和牲畜庇护所的AV框架，显著的小气候变化，遮阳对作物生产力的影响以及优化土地利用实践，以最大限度地提高效率和可持续性。研究表明，土地等效比（LER）持续大于1.0，验证了共址的生产力提高。最后，本报告通过提供一个清晰、结构化的框架，将政策分为金融、监管和技术推动因素，对错综复杂的国际政策环境进行全面评估。这可能会促进和加快这一创新变革技术在农业和能源部门的广泛采用。研究和发展建议建议光伏协同效应在各个不同的方面，为未来的农业光伏应用。这篇综述详细概述了在快速变化的世界中，AV作为一种可持续的、经济上可行的、具有战略优势的解决方案在未来农业实践和能源生产中的潜力。

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引用次数: 0

Carbon sources for the development of Power-to-X chains: Case studies in Morocco 发展Power-to-X链的碳源：摩洛哥案例研究

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-10-13 DOI: 10.1016/j.esd.2025.101858

Oussama BAYSSI , Nisrine ELSSAKHI , Abderrahman LAMRABET , Ahmed ZIAN , Zine El Abidine BAKHER , Hajar E.L. OUAHABI , Samir RACHIDI , Ayoub HIRT

The Power-to-X (PtX) concept offers a transformative approach to energy decarbonization by converting surplus renewable electricity into energy carriers such as hydrogen, synthetic fuels, and value-added chemicals. A critical component of PtX is carbon dioxide (CO₂), which can be captured from industrial emissions, biogenic sources, or direct air capture to produce synthetic fuels and chemicals. With its abundant renewable energy potential and diverse CO₂ sources, Morocco is well-positioned for PtX deployment. However, effective implementation requires a region-specific strategy that aligns CO₂ availability with industrial activity and renewable power generation.

This study systematically quantifies Morocco's CO₂ sources, identifying Casablanca-Settat and Souss-Massa as the highest industrial emitters, with over 15 MtCO₂ annually from cement production and power generation. In contrast, biogenic CO₂ sources exceed 2.9 MtCO₂ in Casablanca-Settat and 2.6 MtCO₂ in Rabat-Salé-Kénitra, primarily from livestock and municipal waste. By integrating geospatial CO₂ distribution, sectoral emission intensities, and PtX feasibility, the study highlights key industrial and biogenic hubs for PtX applications. The findings suggest that Casablanca-Settat and the East Region are optimal for industrial CO₂ capture and hydrogen synthesis. At the same time, Souss-Massa and Rabat-Salé-Kénitra offer strong bio-methane and biochar potential through agricultural waste valorization.

Power-to-X （PtX）概念通过将剩余的可再生电力转化为氢、合成燃料和增值化学品等能源载体，为能源脱碳提供了一种变革性方法。PtX的一个关键成分是二氧化碳（CO₂），它可以从工业排放、生物源或直接空气捕获中捕获，以生产合成燃料和化学品。摩洛哥拥有丰富的可再生能源潜力和多样化的CO₂来源，是PtX部署的有利条件。然而，有效的实施需要一个针对特定地区的战略，将二氧化碳的可用性与工业活动和可再生能源发电相结合。本研究系统地量化了摩洛哥的CO₂来源，确定卡萨布兰卡-塞塔特和苏萨-马萨是最高的工业排放国，每年来自水泥生产和发电的CO₂排放量超过1500万吨。相比之下，卡萨布兰卡-塞塔特的生物源二氧化碳超过290万吨，拉巴特-萨尔萨梅-克萨梅特的生物源二氧化碳超过260万吨，主要来自牲畜和城市垃圾。通过整合地理空间CO₂分布、行业排放强度和PtX可行性，该研究突出了PtX应用的关键工业和生物中心。研究结果表明，卡萨布兰卡-塞塔特和东部地区是工业二氧化碳捕获和氢合成的最佳选择。与此同时，Souss-Massa和rabat - salsamac - ksamnitra通过农业废弃物的增值提供了强大的生物甲烷和生物炭潜力。

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引用次数: 0

Transforming energy access in developing economies: An innovative framework for demand response integration 发展中经济体的能源获取转型：需求响应一体化的创新框架

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-09-23 DOI: 10.1016/j.esd.2025.101833

Timothy King Avordeh , Samuel Gyamfi , Forson Peprah , Christopher Quaidoo

This study advances the discourse on Demand Response adaptation in developing economies by introducing a novel Socio-Technical Adaptive Framework for Demand Response (STAF-DR), which integrates mobile-based platforms, decentralized energy systems, and policy reforms with a unique emphasis on behavioral economics and institutional capacity building. Unlike prior reviews, we systematically analyze causal mechanisms behind DR success or failure across 15 case studies (2010–2025) using a mixed-methods approach, combining quantitative meta-analysis of peak load reductions (5–15 %) with qualitative institutional diagnostics. Our framework identifies three original levers for scalability: (1) contextualized technology bundling (e.g., hybrid SMS/solar-microgrid DR in Kenya achieving 18 % higher participation than standalone solutions), (2) policy sequencing tailored to regulatory maturity (e.g., Ghana's phased TOU rollout reducing implementation costs by 30 %), and (3) community trust metrics that predict DR adoption (R² = 0.72 in rural India). The study provides new empirical evidence on DR's role in mitigating renewable intermittency, demonstrating that mobile-DR can reduce solar curtailment by 12 % in South Africa, compared to 5 % for smart meters. We provide actionable insights for policymakers through a risk-weighted decision matrix, addressing gaps in longitudinal impact assessment and rural DR scalability.

本研究通过引入一个新的需求响应社会技术适应框架（STAF-DR），推进了发展中经济体需求响应适应的论述，该框架将基于移动的平台、分散的能源系统和政策改革整合在一起，特别强调行为经济学和制度能力建设。与之前的综述不同，我们采用混合方法，结合高峰负荷减少（5 - 15%）的定量荟萃分析和定性机构诊断，系统地分析了DR成功或失败背后的因果机制，涉及15个案例研究（2010-2025）。我们的框架确定了可扩展性的三个原始杠杆：(1)情境化技术捆绑（例如，肯尼亚混合短信/太阳能微电网DR的参与率比独立解决方案高18%），(2)根据监管成熟度量身定制的政策顺序（例如，加纳分阶段的TOU推出将实施成本降低了30%），以及(3)预测DR采用的社区信任指标（R2 = 0.72在印度农村）。该研究为DR在缓解可再生能源间歇性方面的作用提供了新的经验证据，表明移动DR可以使南非的太阳能弃电率降低12%，而智能电表的弃电率为5%。我们通过风险加权决策矩阵为政策制定者提供可操作的见解，解决纵向影响评估和农村DR可扩展性方面的差距。

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引用次数: 0

Techno-economic assessment of hydrokinetic technology: A case study 水动力技术的技术经济评价：一个案例研究

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-10-31 DOI: 10.1016/j.esd.2025.101872

Upendra Bajpai , Sunil Kumar Singal

Hydrokinetic energy offers significant potential to support India's goal of achieving net zero carbon emissions by 2070, as outlined at COP26. The study evaluates techno-economic viability of deploying a hydrokinetic farm along a 1 km canal in Uttarakhand, India, using helical Savonius turbines with diameters (D) of 0.25 m (case 1), 0.50 m (case 2), 0.75 m (case 3), and 1.0 m (case 4). Numerical model used in the investigation has been validated experimentally. The developed model evaluates power generation capacity and key financial indicators, including Net present value (NPV), Internal rate of return (IRR), Payback period (PP), and Levelized cost of energy (LCOE). Sensitivity analyses have been conducted using varying capital expenditure (CapEx), operation and maintenance (O&M) costs, discount rate, and electricity selling price. The optimal turbine spacing is estimated as 39D to 41D longitudinally and 6D laterally, at a flow velocity of 2.5 m/s and tip speed ratio of 0.9 for 0.25 m to 1.0 m diameter turbine. The estimated farm installed capacities are 0.40 MW, 0.42 MW, 0.41 MW, and 0.39 MW for cases 1 through 4, respectively, with larger turbines demonstrating superior economic feasibility. Case 4 emerges as the most favourable, with NPV: US$ 0.136 million, IRR: 14.16 %, PP: 6.64 years, LCOE: US$ 0.060/kWh. Sensitivity analysis highlights that CapEx and electricity price are the most influential parameters, whereas O&M cost has minimal impact. The findings suggest that with technological advancements, favourable policies, and large-scale deployment, hydrokinetic technology will become less risky and more competitive with established renewable energy technologies.

正如COP26所概述的那样，水动能为支持印度到2070年实现净零碳排放的目标提供了巨大的潜力。该研究评估了在印度北阿坎德邦沿1公里运河部署水动力农场的技术经济可行性，使用直径(D)为0.25米（案例1）、0.50米（案例2）、0.75米（案例3）和1.0米（案例4）的螺旋Savonius涡轮机。所采用的数值模型已得到实验验证。该模型评估了发电能力和主要财务指标，包括净现值（NPV）、内部收益率（IRR）、投资回收期（PP）和能源平准化成本（LCOE）。使用不同的资本支出（CapEx）、运营和维护（O&；M）成本、贴现率和电力销售价格进行了敏感性分析。对于直径为0.25 m ~ 1.0 m的涡轮，在流速为2.5 m/s，叶尖速比为0.9的条件下，涡轮纵向间距为39D ~ 41D，横向间距为6D。案例1至案例4的装机容量分别为0.40兆瓦、0.42兆瓦、0.41兆瓦和0.39兆瓦，其中较大的涡轮机显示出更好的经济可行性。案例4是最有利的，NPV: 13.6万美元，IRR: 14.16%, PP: 6.64年，LCOE: 0.060美元/千瓦时。敏感性分析表明，资本支出和电价是影响最大的参数，而运营管理成本的影响最小。研究结果表明，随着技术的进步、有利的政策和大规模部署，水动力技术将变得风险更小，与现有的可再生能源技术相比更具竞争力。

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引用次数: 0

Development of an ESG evaluation framework for China's energy industry using the PSR–AHP model 运用PSR-AHP模型构建中国能源行业ESG评估框架

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-11-04 DOI: 10.1016/j.esd.2025.101877

Lin Mengyuan , Takehiko Murayama , Shigeo Nishikizawa , Kultip Suwanteep

In recent years, environmental, social, and governance (ESG) considerations have emerged as critical tools for evaluating the sustainable development capacity of economic entities, with information disclosure serving as an essential component of ESG assessment frameworks. However, in China, ESG disclosure among enterprises, particularly within the energy industry, remains insufficient. Moreover, most existing evaluation systems are adapted from foreign models and fail to account for the unique characteristics of Chinese enterprises and industry-specific contexts. To address these shortcomings, this study develops an ESG evaluation system tailored to the Chinese energy industry by integrating the pressure–state–response (PSR) model with the analytic hierarchy process. The proposed system comprises a three-level structure, including a goal layer encompassing environmental performance, social responsibility, and corporate governance; a first criteria layer subdivided into 9 PSR-based categories; and a second criteria layer containing 32 specific indicators. To ensure comprehensive and socially relevant weighting of the indicators, surveys were conducted among both experts and practitioners, and the aggregation of individual judgments method was employed to synthesize their assessments. The evaluation system was applied to five major state-owned Chinese energy enterprises, whose combined installed capacity represented over half of the national total, using ESG disclosure data from 2019 to 2023. The results indicate that while these enterprises generally achieved high ESG scores (all exceeding 0.75), their performance exhibited notable fluctuations, particularly in the environmental and governance dimensions. Environmental performance emerged as the most influential and volatile factor, underscoring its central role in shaping overall ESG outcomes. Social performance showed steady improvement, while governance performance followed a fluctuating trajectory before eventually rebounding. These findings highlight the necessity of developing stricter environmental standards alongside an ESG evaluation framework that accounts for industry-specific characteristics, in order to promote sustainable development and accelerate the green transformation of China's energy sector.

近年来，环境、社会和治理（ESG）因素已成为评估经济实体可持续发展能力的重要工具，信息披露是ESG评估框架的重要组成部分。然而，在中国，企业特别是能源行业的企业的ESG信息披露仍然不足。此外，大多数现有的评估体系都是借鉴国外模型，未能考虑到中国企业的独特特征和行业具体背景。针对这些不足，本研究将压力-状态-响应（PSR）模型与层次分析法相结合，构建了适合中国能源行业的ESG评价体系。该体系由三层结构组成，其中目标层包括环境绩效、社会责任和公司治理；第一个标准层细分为9个基于psr的类别；第二个标准层包含32个具体指标。为确保各指标的权重具有全面性和社会相关性，我们对专家和从业人员进行了问卷调查，并采用个人判断聚合法对他们的评价进行综合。该评估体系采用2019年至2023年的ESG披露数据，应用于中国五大国有能源企业，其总装机容量占全国总装机容量的一半以上。结果表明，虽然这些企业的ESG得分普遍较高（均超过0.75），但其绩效波动明显，特别是在环境和治理维度上。环境绩效成为最具影响力和最不稳定的因素，强调了其在塑造整体ESG成果方面的核心作用。社会绩效稳步改善，而治理绩效则在最终反弹之前经历了波动。这些发现强调了制定更严格的环境标准以及考虑行业特定特征的ESG评估框架的必要性，以促进可持续发展并加速中国能源部门的绿色转型。

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引用次数: 0

Deep localization: A pathway to achieve self-sustainable ecosystem for the Indian Solar PV industry 深度本地化：印度太阳能光伏产业实现自我可持续生态系统的途径

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-11-04 DOI: 10.1016/j.esd.2025.101880

Ankit Agrawal , Sudeep kumar Pradhan , Bijay kumar Rout

The whole world is committed to decarbonize and climate change control objectives, with solar energy at the forefront of its energy transition. While solar installations across globe increase, critical solar manufacturing remains highly concentrated in China. This creates reliance on imports and exposes India's vulnerability to the supply chain. Despite India's ambitious target to achieve 500GW of renewable capacity by 2030, its dependence on imported solar modules, cells, unavailability of wafers, and polysilicon manufacturing raises concerns over self-reliance and long-term sustainability.

To address these challenges, Deep Localization (DL) framework that extends conventional localization framework by fostering innovation, circular economy practices, building trust, and a resilient domestic supply chain. The variables were identified through a literature review and expert inputs. Exploratory Factor Analysis was applied to determine the factor structure and eliminate weak variables. A hypothesized model was developed to analyze the interplay between policy, risk, and demand management, DL, and their impact on supplier and manufacturer development in India's solar PV sector. Data was collected through a structured questionnaire survey from 411 respondents, and the model was validated using Structural Equation Modelling.

The findings highlight that policy management is essential for risk mitigation. The integrated policy, demand and risk management create an enabling environment for DL, with a strong focus on creating a robust supplier-manufacturer network to enhance competitiveness. By adopting DL strategies, India can transition from an import driven country to a global manufacturing hub, ensuring India's ambitions for economic growth, sustainability, and energy security.

全世界都致力于实现脱碳和气候变化控制目标，太阳能处于其能源转型的前沿。虽然全球的太阳能装置在增加，但关键的太阳能制造仍然高度集中在中国。这造成了对进口的依赖，并暴露了印度在供应链上的脆弱性。尽管印度雄心勃勃的目标是到2030年实现500吉瓦的可再生能源产能，但印度对进口太阳能组件、电池的依赖、硅片和多晶硅制造的缺乏，引发了人们对自力更生和长期可持续性的担忧。为了应对这些挑战，深度本地化（DL）框架通过促进创新、循环经济实践、建立信任和弹性的国内供应链来扩展传统的本地化框架。这些变量是通过文献回顾和专家输入来确定的。采用探索性因子分析确定因子结构，剔除弱变量。本文建立了一个假设模型来分析政策、风险和需求管理之间的相互作用，以及它们对印度太阳能光伏行业供应商和制造商发展的影响。通过对411名受访者的结构化问卷调查收集数据，并使用结构方程模型对模型进行验证。研究结果强调，政策管理对于减轻风险至关重要。综合政策、需求和风险管理为DL创造了一个有利的环境，重点是建立一个强大的供应商-制造商网络，以提高竞争力。通过采用DL战略，印度可以从一个进口驱动型国家转变为全球制造业中心，确保印度实现经济增长、可持续发展和能源安全的雄心。

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引用次数: 0

Sustainable energy recovery via co-pyrolysis of orange peels and agro-wastes: Generation of hydrogen-rich syngas, bio-oil, and biochar 通过橙子皮和农业废弃物共热解的可持续能源回收：产生富氢合成气、生物油和生物炭

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-09-23 DOI: 10.1016/j.esd.2025.101831

Emna Fassatoui , Sana Kordoghli , Jean François Largeau , Khaled Loubar , Fethi Zagrouba

This study explores the pyrolysis and co-pyrolysis of orange peels alongside typical agricultural biomass residues, such as peanut shells and coffee grounds. Based on their equal weight percentage, the cited samples were combined with orange peels in a 50:50 wt% ratio. Two technological configurations were employed: a batch setup at the laboratory scale and a semi-batch setup at the industrial scale. As the experiments transitioned from batch to semi-batch configurations, the yield of volatile byproducts, including bio-oil and biogas, showed a significant increase, peaking at 79 % for the orange-peanuts mixture. The semi-batch setup demonstrated enhanced conversion efficiency for both condensable and non-condensable fractions. As a result, the semi-batch configuration was prioritized because of its potential to produce high-quality biogas. As regards to pure biomass pyrolysis, orange peels yielded the largest gas fraction (38.83 wt%) due to their high volatile matter content. The results of co-pyrolysis further revealed that the addition of orange peels to the other residues significantly influenced the thermochemical behavior, leading to an increased biogas yield. Specifically, gas fractions reached 48.90 wt% for the orange-coffee blend and 54.20 wt% for the orange-peanuts combination. In particular, the orange peels incorporation generated innovative blends that reached maximal hydrogen production earlier than individual biomass processing. In terms of bio-oil composition, the established mixtures led to a higher hydrocarbons concentration. The co-pyrolysis process, notably, improves the viable conversion of orange peels and specific lignocellulosic biomass waste, providing thus a distinctive alternative to their processing in accordance with the circular economy and sustainable waste treatment concepts. This approach can serve as a viable solution to support energy resilience and the socio-economic development of rural communities in developing countries.

本研究探索了橘子皮与典型的农业生物质残留物（如花生壳和咖啡渣）的热解和共热解。根据其相同的重量百分比，引用的样品与橙子皮以50:50重量%的比例组合。采用了两种技术配置：实验室规模的批量设置和工业规模的半批量设置。当实验由分批型过渡到半分批型时，挥发性副产物（包括生物油和沼气）的产率显著增加，其中橙子-花生混合物的产率达到79%。半间歇装置表明可冷凝馏分和不可冷凝馏分的转化效率都有所提高。因此，半批量配置被优先考虑，因为它具有生产高质量沼气的潜力。对于纯生物质热解，由于其挥发物含量高，橘子皮产生了最大的气体分数（38.83 wt%）。共热解结果进一步表明，在其他残渣中加入橘子皮对热化学行为有显著影响，导致沼气产量增加。具体来说，橙子-咖啡混合物的气体分数达到48.90 wt%，橙子-花生混合物达到54.20 wt%。特别是，橘子皮的掺入产生了创新的混合物，比单个生物质处理更早达到最大的氢气产量。就生物油组成而言，已建立的混合物导致较高的碳氢化合物浓度。值得注意的是，共热解过程提高了橘子皮和特定木质纤维素生物质废物的可行转化，因此根据循环经济和可持续废物处理概念，为其处理提供了独特的替代方案。这种方法可以作为一种可行的解决方案，支持发展中国家农村社区的能源复原力和社会经济发展。

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引用次数: 0

Understanding the rural cooking energy acceptance behavior in Gandaki Province, Nepal: Evidence from logistic regression analysis 了解尼泊尔甘达基省农村烹饪能源接受行为：来自逻辑回归分析的证据

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-10-02 DOI: 10.1016/j.esd.2025.101840

Durga Prasad Chapagai , Neeta Dhusia Sharma , Manish Kumar Roy , Amit Kumar Roy , Suresh Baral

Rural cooking remains a critical issue in energy access and sustainability in developing countries. Despite significant policy efforts to expand clean energy access in Nepal, the continued reliance on traditional cooking fuels in rural areas highlights a critical gap in understanding the users' acceptance of renewable energy sources. This study provides empirical evidence on the socio-cultural and economic factors that influence household choices on cooking fuel options. It examined rural people's understanding of cooking energy sources, including renewable sources (electricity and biogas), liquefied petroleum gas (LPG), and firewood, in Gandaki Province, Nepal. The study employed the variables: reliability, cost and affordability, friendliness, health, environmental friendliness, time efficiency, accessibility, concern for safety, and food test. It has used a cross-sectional survey research design and binary logistic regression to assess the influence on rural people's preferences for cooking options. The study found that the firewood resource is perceived as cheaper, accessible, safer, and reliable, and is positively contributing to food testing. However, it is considered unhealthy, time-consuming, unfriendly, and environmentally adverse by rural users. Renewable energy, including biogas and electric cooking stoves, is perceived as a costly, unfriendly, risky, and unreliable source for cooking. Moreover, it is perceived as a healthy and environmentally friendly option. Additionally, LPG is perceived as expensive, unfriendly, poorly accessible, and unreliable energy source. However, it is perceived as a healthy, safe, time-saving, and environmentally friendly source by users. This study offers actionable and novel insights into rural households' acceptance of clean cooking by incorporating users' perspectives. The findings support the formulation of energy policies that address the actual needs and preferences of rural communities.

农村烹饪仍然是发展中国家能源获取和可持续性的关键问题。尽管尼泊尔在扩大清洁能源获取方面做出了重大政策努力，但农村地区对传统烹饪燃料的持续依赖，突显出在理解用户对可再生能源的接受程度方面存在重大差距。本研究为影响家庭烹饪燃料选择的社会文化和经济因素提供了实证证据。它调查了尼泊尔甘达基省农村人民对烹饪能源的了解情况，包括可再生能源（电力和沼气）、液化石油气（LPG）和木柴。本研究采用的变量为：信度、成本与负担能力、友善、健康、环境友善、时间效率、可及性、安全关注、食品检验。该研究采用了横断面调查研究设计和二元逻辑回归来评估对农村居民烹饪选择偏好的影响。研究发现，人们认为柴火资源更便宜、更容易获得、更安全、更可靠，并对食品检测起到了积极作用。然而，农村用户认为它不健康、耗时、不友好且不利于环境。可再生能源，包括沼气和电炉灶，被认为是一种昂贵、不友好、有风险和不可靠的烹饪来源。此外，它被认为是一种健康和环境友好的选择。此外，液化石油气被认为是昂贵、不友好、难以获得和不可靠的能源。然而，它被用户认为是一种健康、安全、节省时间和环保的来源。本研究结合用户的观点，为农村家庭接受清洁烹饪提供了可操作和新颖的见解。研究结果支持制定能源政策，解决农村社区的实际需要和偏好。

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引用次数: 0

Fueling the transition: The infrastructure and retrofitting hurdles to natural gas uptake 推动转型：基础设施和改造障碍对天然气的吸收

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-12-01 Epub Date: 2025-11-04 DOI: 10.1016/j.esd.2025.101879

Majah-Leah V. Ravago , Karl Robert L. Jandoc , Brian Jason H. Ponce , Mithi Maria Peñaranda , Renzi G. Frias , Raul V. Fabella

We examine how technical characteristics influence firms' decisions to adopt natural gas as an alternative fuel in their production processes. Using firm-level data, we first identify key drivers of adoption through probit models, highlighting the roles of heating equipment, cost competitiveness, and prior knowledge of natural gas. To extend the analysis, we apply LASSO regression to incorporate a wider set of predictors, including infrastructure access, retrofitting costs, electricity source, environmental awareness, and firm characteristics. Our results show that proximity to fueling or regasification stations is strongly associated with a higher probability of adoption, while high retrofitting costs show a robust negative correlation. Firms reliant on major grid-based electricity providers or familiar with renewable energy sources are less open to switching, suggesting perceived reliability of existing energy sources or a preference for technologies more directly aligned with renewable commitments. Conversely, firm-level familiarity with natural gas consistently exhibits a positive and significant association with adoption. We observe moderate heterogeneity in openness to switch to natural gas across firm types, with the highest propensity among those using heating equipment in core operations. These findings emphasize the importance of infrastructure access, technical knowledge, and financial constraints in shaping the transition to cleaner fuels in industrial sectors. We highlight the “renewable energy commitment effect,” which is the reluctance to switch to a fuel less committed to renewables.

我们研究了技术特征如何影响企业在生产过程中采用天然气作为替代燃料的决策。利用公司层面的数据，我们首先通过probit模型确定了采用该技术的关键驱动因素，强调了供暖设备、成本竞争力和天然气先验知识的作用。为了扩展分析，我们应用LASSO回归来纳入更广泛的预测因素，包括基础设施获取、改造成本、电力来源、环境意识和企业特征。我们的研究结果表明，靠近加氢站或再气化站与更高的采用概率密切相关，而高改造成本则表现出强烈的负相关。依赖主要电网供电供应商或熟悉可再生能源的公司不太愿意转换，这表明现有能源的可靠性或对更直接符合可再生能源承诺的技术的偏好。相反，公司层面对天然气的熟悉程度始终与采用率呈显著正相关。我们观察到，不同类型的公司在转向天然气的开放程度上存在适度的异质性，在核心业务中使用加热设备的公司中，倾向程度最高。这些研究结果强调了基础设施获取、技术知识和资金限制对工业部门向清洁燃料过渡的重要性。我们强调了“可再生能源承诺效应”，即不愿转向可再生能源承诺较少的燃料。

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引用次数: 0