Renewable Energy Focus最新文献

An uncertainty microgrid system with the regulation potential of photovoltaic energy storage charging stations and its optimization algorithm 具有光伏储能充电站调节潜力的不确定微电网系统及其优化算法

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2026-01-14 DOI: 10.1016/j.ref.2026.100815

Ning Zhou, Jing Yao, Zhiwei Zhou

{"title":"An uncertainty microgrid system with the regulation potential of photovoltaic energy storage charging stations and its optimization algorithm","authors":"Ning Zhou, Jing Yao, Zhiwei Zhou","doi":"10.1016/j.ref.2026.100815","DOIUrl":"10.1016/j.ref.2026.100815","url":null,"abstract":"<div><div>This study addresses the multi-objective optimization problem of multi-microgrid systems (MMGS) considering the uncertainties of renewable energy sources (RES) with respect to economy, security, and operational stability. A coordinated participation model integrating microgrid units (MGU), photovoltaic-storage-charging stations (PESCS), and distribution networks (DN) is constructed. In the model, the PESCS not only meets the charging demands of electric vehicles (EVs) but also supports DN voltage stability through coordinated charging and discharging. To effectively balance multiple objectives under RES uncertainties, a data-driven multi-objective fuzzy aggregation spider wasp optimization algorithm (DD-MOFASWO) incorporating fuzzy logic reasoning is proposed. The algorithm leverages the advantages of data-driven learning from historical data to specifically handle RES uncertainties in MGUs, generating partial dimensions of the initial-stage Pareto solution set. By dynamically maintaining an external archive through fuzzy aggregation crowding distance (FACD) and non-dominated sorting (NDS), the algorithm ensures population uniformity and diversity. Simulation results under four typical scenarios on the IEEE 33-bus system demonstrate that the proposed method significantly outperforms several classical multi-objective evolutionary algorithms in terms of convergence speed, Pareto front quality, and overall system operational performance, effectively validating the superiority of both the model and the algorithm.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100815"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037583","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}

引用次数: 0

Time-varying effects of policy uncertainty on supply chain market connectivity in Chinese photovoltaic industry 政策不确定性对中国光伏产业供应链市场连通性的时变影响

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2025-12-04 DOI: 10.1016/j.ref.2025.100792

Junhui Li , Yanqiong Zhao , Shiquan Dou , Yongguang Zhu , Deyi Xu

{"title":"Time-varying effects of policy uncertainty on supply chain market connectivity in Chinese photovoltaic industry","authors":"Junhui Li , Yanqiong Zhao , Shiquan Dou , Yongguang Zhu , Deyi Xu","doi":"10.1016/j.ref.2025.100792","DOIUrl":"10.1016/j.ref.2025.100792","url":null,"abstract":"<div><div>The transition to renewable energy is essential to address global environmental challenges. Central to this shift, the photovoltaic (PV) industry is vital for achieving low-carbon goals. Supported by government policies, China’s PV sector has led the world in newly installed capacity for a decade. However, the impact of policy uncertainty on the interconnected dynamics of the PV supply chain remains underexplored. This study uses a Time-Varying Parameter Vector Autoregression (TVP-VAR) model and Granger causality tests to analyze dynamic price dependencies within the Chinese PV supply chain. The results reveal midstream markets as net shock receivers, while upstream markets act as primary transmitters. Economic and trade policy uncertainties significantly and asymmetrically influence market connectivity, with economic policy uncertainty having a stronger impact. These findings highlight the critical role of policy frameworks in shaping supply chain dynamics and resilience. By offering a nuanced understanding of price interdependencies and temporal variations in spillovers, this research provides actionable insights for policymakers and stakeholders. It supports strategic decision-making to promote sustainable development and investment in China’s PV sector while addressing the challenges posed by policy-induced risks.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100792"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748884","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}

引用次数: 0

A sustainable power management solution integrated with fuel cell based hybrid energy storage system in variable climate conditions 在可变气候条件下，与基于燃料电池的混合能源存储系统集成的可持续电源管理解决方案

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2025-12-02 DOI: 10.1016/j.ref.2025.100797

Debabrata Mazumdar , Josep M. Guerrero , Nishant Thakkar , Anand R. , Chiranjit Sain , Taha Selim Ustun

{"title":"A sustainable power management solution integrated with fuel cell based hybrid energy storage system in variable climate conditions","authors":"Debabrata Mazumdar , Josep M. Guerrero , Nishant Thakkar , Anand R. , Chiranjit Sain , Taha Selim Ustun","doi":"10.1016/j.ref.2025.100797","DOIUrl":"10.1016/j.ref.2025.100797","url":null,"abstract":"<div><div>The current age has seen a growing reliance on HSES including fuel cells, solar, and wind with the goal of lowering global warming, the greenhouse effect, and reliance on fossil fuels. An efficient management technique that incorporates a hybrid energy storage alternative is presented here to develop a self-sufficient and sustainable energy system. The suggested system incorporates all four-energy storage and generating techniques: batteries, fuel cells, photovoltaic, and super-capacitors. This study suggests an EMS with an ANFIS controller, a Zeta converter, and a ZOA-based MPPT for fuel cell regulation in a micro grid that consists of photovoltaic, fuel cells, batteries, and super-capacitors. Effective power sharing, enhanced DC-bus voltage stability, and quick dynamic response under varying load and ambient conditions are all guaranteed by the suggested architecture. In comparison to FSSO, MPA and GWO algorithms, simulation findings show that ZOA-based MPPT achieves 30–45 % faster convergence and 8–10 % higher energy extraction, with steady-state oscillations below 1.8 %. In addition to ensuring seamless coordination with the battery and super-capacitor, the ANFIS controller keeps the fuel-cell voltage at 300 ± 2 V. Compared to traditional boost converter topologies, the integrated control system stabilizes the DC-bus voltage within ±2 % and minimizes ripple content by about 30 %. A damping ratio of 0.83 and a settling time of less than 0.25 seconds are confirmed by stability analysis, demonstrating robustness and strong dynamic stability against changes in the parameters. These results demonstrate the system’s capacity to operate dependably and efficiently in both independent and grid-connected hybrid energy applications.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100797"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693395","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}

引用次数: 0

Optimizing resource allocation and enhancing security in smart grid environments through a decentralized access control system with power theft detection mechanism 通过带窃电检测机制的分散式门禁系统，优化智能电网环境下的资源配置，增强安全性

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2025-12-30 DOI: 10.1016/j.ref.2025.100807

P. Mary Jyosthna , P. Srilatha , N. Raveendra

{"title":"Optimizing resource allocation and enhancing security in smart grid environments through a decentralized access control system with power theft detection mechanism","authors":"P. Mary Jyosthna , P. Srilatha , N. Raveendra","doi":"10.1016/j.ref.2025.100807","DOIUrl":"10.1016/j.ref.2025.100807","url":null,"abstract":"<div><div>The smart grid upgrades an existing power grid with intelligence, such that data sharing can occur about things like customer data and energy consumption. However, several methods related to access management and theft detection currently exist, can be inflexible, have high computational costs, and their generalizations can be impaired by noisy sensor data. This work develops a secure, and efficient smart grid system that combines decentralized access control, and power theft detection. The major aim of the current technique is to develop a decentralized access control service with user revocation abilities while increasing smart grid security using information technology management. The method described in this paper will first create input data from the Theft Detection in Smart Grid Environment Dataset and process the data with a Fuzzy–Enhanced Kalman Filter (FEKF) to remove noise and outliers from the input data. The input data is sensed for power theft detection through the usage of a Quantum–enhanced Artificial Neural Network (QANN) that enables precise detection of illicit activity. To optimize resource allocation and access request routing, the Ship Rescue Optimization (SRO) algorithm is applied. The system is implemented and evaluated using the Python programming platform. When compared to the existing methods like African Vultures Optimization Algorithm (AVOA), Particle Swarm Optimization (PSO), and Whale Optimization Algorithm with Flower Mating Optimization (WOA–FMO), the proposed SRO achieves outstanding performance with a high accuracy of 98 %.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100807"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976876","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}

引用次数: 0

Event-triggered neural network prescribed performance control for wave energy conversion system under input saturation 基于事件触发神经网络的波能转换系统输入饱和状态下的预定性能控制

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2026-01-11 DOI: 10.1016/j.ref.2026.100810

Shizhan Dong, Zhongqiang Wu

{"title":"Event-triggered neural network prescribed performance control for wave energy conversion system under input saturation","authors":"Shizhan Dong, Zhongqiang Wu","doi":"10.1016/j.ref.2026.100810","DOIUrl":"10.1016/j.ref.2026.100810","url":null,"abstract":"<div><div>To solve the Maximum power point tracking (MPPT) control problem in wave energy conversion systems (WECS) under input saturation, an event-triggered neural network prescribed performance controller is designed. A structure of a direct-drive WECS with internal parameter changes and external disturbances is built, where these changes and disturbances are treated as lumped uncertainties. The auxiliary system is designed to solve the input saturation. The controller parameters are dynamically adjusted by an event-triggered mechanism to constrain control inputs and savecommunication resources. The radial basis function neural networks (RBFNN) are employed to approximate model uncertainties and disturbances, enhancing the robustness of the system. An asymmetric prescribed performance function is employed to constrain the state of the system within a prescribed range, ensuring the boundedness of the closed-loop stochastic nonlinear system. Simulation results show that the proposed method successfully realizes MPPT in the WECS under input saturation, internal parameter changes, and external disturbances.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100810"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976875","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}

引用次数: 0

Protection solutions and their performance assessment for MV embedded microgrid networks 中压嵌入式微电网的保护方案及其性能评估

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.ref.2026.100819

M. Aizaz Farid, Inam Nutkani, Lasantha Meegahapola, Nuwantha Fernando

{"title":"Protection solutions and their performance assessment for MV embedded microgrid networks","authors":"M. Aizaz Farid, Inam Nutkani, Lasantha Meegahapola, Nuwantha Fernando","doi":"10.1016/j.ref.2026.100819","DOIUrl":"10.1016/j.ref.2026.100819","url":null,"abstract":"<div><div>Numerous innovative protection schemes involving a combination of overcurrent relays (OCRs) and directional overcurrent relays (DOCRs) have been investigated for a distribution network with distributed generators (DGs) and microgrids (MGs) governed by existing anti-islanding regulations. However, protection solutions for embedded microgrids (EMGs) have not been thoroughly investigated, where conventional overcurrent and islanding protection implemented at a single point-of-common-coupling (PCC) proves inadequate. The analysis in this paper shows that EMG supply reliability can deteriorate by up to 34% more than that of the distribution network itself. To address this issue, this paper proposes a suite of protection solutions designed for future embedded networks, aiming to minimize supply disruption through isolation of faulty network segments and maintaining supply to the rest of the network from the grid and EMG. The proposed protection solutions involve the addition of new DOCRs and their coordination among themselves and with the existing conventional OCRs to ensure adequate protection. A simple framework employing two strategies, based on feeders’ radial distance and connected load power is proposed for the placement of additional DOCRs, resulting in numerous solution scenarios (SSs) with different combinations of OCR and DOCRs. A comprehensive techno-economic performance analysis is conducted by estimating the improvement in reliability indices, the associated cost savings, and the deployment cost of each SS to determine its economic viability. The findings reveal that the most cost-effective solution have enhanced system reliability by up to 67%, demonstrating that the proposed simple yet practical framework provides highly effective and viable protection solutions for EMGs.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100819"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077739","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}

引用次数: 0

Evaluating the impact of a multi-objective trading decision optimizer on community energy markets performance 评估多目标交易决策优化器对社区能源市场绩效的影响

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2025-12-07 DOI: 10.1016/j.ref.2025.100791

Amin Zakhirehkar Sahih , Milad Ghasri , Ali Ahrari

{"title":"Evaluating the impact of a multi-objective trading decision optimizer on community energy markets performance","authors":"Amin Zakhirehkar Sahih , Milad Ghasri , Ali Ahrari","doi":"10.1016/j.ref.2025.100791","DOIUrl":"10.1016/j.ref.2025.100791","url":null,"abstract":"<div><div>This paper presents the first community-wide assessment of how prosumer decision-making optimizers affect local renewable energy markets. To capture realistic individual behavior, we develop a Multi-objective Trading Decision Optimizer (MO-TDO) that enables prosumers to schedule flexible loads by jointly considering electricity cost and convenience. Using this tool, we evaluate the broader impacts of MO-TDO adoption across three community-scale market-clearing mechanisms: the Uniform Price Double Auction (UPDA), the Innovative Coalition Business Model (ICBM), and the Hybrid Auction-Coalition (HAC). A discrete-event simulation of 100 Australian households is conducted under varying adoption rates, with outcomes measured in terms of community electricity bills, local matching efficiency, peak-load reduction, equity of profit distribution, and carbon emissions. Results show that increasing MO-TDO adoption consistently improves community outcomes across all markets. HAC most frequently achieves the lowest electricity bills, ICBM delivers the most significant peak-load reductions and maintains fairness in profit distribution, while UPDA provides only moderate cost benefits but greater inequality. By linking prosumer-level optimization with system-level outcomes, this study highlights how advanced decision-making tools can shape community-scale performance and provides actionable insights for policymakers and operators in designing local energy markets.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100791"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748885","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}

引用次数: 0

Advanced decentralized control framework for voltage stability and proportional power sharing in hybrid AC-DC microgrid 交直流混合微电网电压稳定与比例功率共享的先进分散控制框架

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2026-01-07 DOI: 10.1016/j.ref.2026.100809

Atul S. Dahane, Rajesh B. Sharma

{"title":"Advanced decentralized control framework for voltage stability and proportional power sharing in hybrid AC-DC microgrid","authors":"Atul S. Dahane, Rajesh B. Sharma","doi":"10.1016/j.ref.2026.100809","DOIUrl":"10.1016/j.ref.2026.100809","url":null,"abstract":"<div><div>A massive integration of hybrid AC-DC microgrids into modern power systems has paved the way for adequate robust decentralized control strategies. Proposed advanced decentralized control framework for hybrid AC-DC microgrids presents a solution to highly significant system voltage stability and proportional power sharing issues. The architecture combines Drop Control with Virtual Impedance, Model Predictive Control (MPC), Adaptive Droop-Based Power Sharing, and commonly Event-Triggered Control with Distributed Consensus Algorithm (DCA) for power dispatching in decentralized controllers. The proposed system operates very well and automatically adapts itself under dynamic circumstances for the distributed coordination without relying on a centralized architecture. The MPC model predicts a cost-optimized horizon for minimizing voltage deviation, while adaptive droop adjusts coefficients in real-time according to availability and load demand. Further, iterated local exchanges allow DCA to deliver distributed coordination, complementing the event-triggered logic that permits reductions by over 40% in updates for continuous-time methods. Simulation studies using a hybrid IEEE 39-bus system reveal that voltage deviation would always remain within ±1.2%, while accuracy in power sharing would remain above 97%, with response times under 32 ms, and control convergence within 50 ms. When benchmarked against existing methods of comparison, these performance parameters are still at least 20% better, which indicates strong improvements in scalability, efficiency, and responsiveness. Thus, the proposed framework holds the promise of becoming a credible response towards the next generation of adaptive and intelligent microgrids.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100809"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938702","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}

引用次数: 0

A fast-recovery buck converter with differential current control and ripple suppression for energy constrained applications 具有差分电流控制和纹波抑制的快速恢复降压变换器，适用于能量受限的应用

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2026-02-09 DOI: 10.1016/j.ref.2026.100824

Sivakumar Kumaraguruparan, Konguvel Elango

{"title":"A fast-recovery buck converter with differential current control and ripple suppression for energy constrained applications","authors":"Sivakumar Kumaraguruparan, Konguvel Elango","doi":"10.1016/j.ref.2026.100824","DOIUrl":"10.1016/j.ref.2026.100824","url":null,"abstract":"<div><div>Fast transient response and precise load regulation are critical in renewable energy systems, particularly in low-voltage control units driven by erratic sources like solar or wind. While traditional current-mode control (CMC) in buck converters enables fast dynamic response to load and input variations, but suffers from subharmonic oscillations due to limited duty cycle information and slow inner-loop dynamics. Although the capacitor current control can mitigate this issue, it compromises impedance matching and system stability. To address these challenges,this paper proposes a differential current dynamic on-time (DCDOT) control scheme for buck converter, providing enhanced transient performance and improved stability without requiring direct capacitor current sensing. The differential current is derived as the difference between the inductor current and load current, enabling precise transient behavior with reduced sensing complexity. A fixed-frequency switching mechanism is implemented through a dedicated control loop that stabilizes the on-time duration, maintaining a constant switching frequency of 500 kHz. Ramp compensation is incorporated to suppress output ripple and prevent instability. The system is modeled and validated using MATLAB Simulink. Experimental results show significant performance improvements, achieving a transient recovery time of <span><math><mrow><mn>0</mn><mo>.</mo><mn>45</mn><mspace></mspace><mi>μ</mi><mi>s</mi></mrow></math></span> for a 0.01 A to 1 A load step and <span><math><mrow><mn>0</mn><mo>.</mo><mn>3</mn><mspace></mspace><mi>μ</mi><mi>s</mi></mrow></math></span> for the reverse transition.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100824"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188276","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}

引用次数: 0

Multidimensional effects of solar photovoltaics water pumping systems for rural agricultural activities: A system dynamics approach 农村农业活动中太阳能光伏水泵系统的多维效应：系统动力学方法

IF 5.9

Renewable Energy Focus Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.ref.2026.100813

Oliva Gonda , Erik Nuyts , Wilbard Kombe , Wim Deferme , Sarah Phoya , Griet Verbeeck

{"title":"Multidimensional effects of solar photovoltaics water pumping systems for rural agricultural activities: A system dynamics approach","authors":"Oliva Gonda , Erik Nuyts , Wilbard Kombe , Wim Deferme , Sarah Phoya , Griet Verbeeck","doi":"10.1016/j.ref.2026.100813","DOIUrl":"10.1016/j.ref.2026.100813","url":null,"abstract":"<div><div>Alternative energy sources, including solar photovoltaics (PV), are fundamental for sustainable rural development, and their application in agricultural and other activities yields multiple effects. Studies indicate the numerous benefits of rural energy provision. However, the impact of solar PV water pumping systems (SPVWPS) on agricultural activities in rural communities is scarcely analysed. Building on scholars’ positive arguments on SPVWPS, this study answers the following questions: How do SPVWPS in agriculture relate to sustainable positive outcomes in rural communities? What are the challenges associated with solarisation in rural agricultural activities? A mixed-methods approach was employed, using questionnaire surveys among farmers and in-depth interviews with government officials and SPV developers in rural areas of the Iringa, Dodoma and Manyara regions in Mainland Tanzania. Causal loop diagrams (CLDs) were used to illustrate the dynamic multiple cycles of socioeconomic effects of the SPVWPS in rural areas. The results indicate that SPVWPS in agriculture increased agricultural productivity, which also positively impacts the well-being of rural communities. Therefore, efforts to energise rural communities should focus more on agricultural activities, which are the main economic drivers that enhance these communities’ social, economic and environmental well-being. Moreover, applying CLDs demonstrates the non-linear, dynamic and critical relationships that policymakers and solar PV developers should consider to enhance rural socioeconomic development.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100813"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976877","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}

引用次数: 0