Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122704
Liangyu Jiang , Ye Xuan , Kerong Zhang
{"title":"Dynamic interaction and evolution analysis of the resource-environment-economy-society complex system in China under the advancement of smart cities","authors":"Liangyu Jiang , Ye Xuan , Kerong Zhang","doi":"10.1016/j.renene.2025.122704","DOIUrl":"10.1016/j.renene.2025.122704","url":null,"abstract":"<div><div>The development and interaction of resources, environment, economy, and society collectively determine the comprehensive development level of cities, while the advancement of smart cities exerts a profound influence on this complex system. Therefore, the primary aim of this study is to illustrate the impact of smart city construction on this system and its interrelationship by utilizing a PVAR model based on panel data from Chinese cities spanning from 2011 to 2022. The study finds that the level of smart city development in China has steadily improved, but its spatial distribution remains uneven, exhibiting a trend of expansion from the eastern coastal regions to the central and western areas. Smart city construction can enhance environmental, economic, and social levels in the short term, though it initially exerts negative effects on resources. Environmental development positively impacts the economy, society, and resources, yet it initially hinders the progress of smart city construction. By clarifying the relationships between smart city development and the aforementioned interactive systems, this study contributes to promoting a shift toward greener, low-carbon smart city development, which is crucial for achieving sustainable development.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122704"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent technological advancements in biomass conversion to biofuels and bioenergy for circular economy roadmap","authors":"Anu Chaudhary , Ranju Kumari Rathour , Preeti Solanki , Preeti Mehta Kakkar , Shruti Pathania , Abhishek Walia , Rama Raju Baadhe , Ravi Kant Bhatia","doi":"10.1016/j.renene.2025.122714","DOIUrl":"10.1016/j.renene.2025.122714","url":null,"abstract":"<div><div>With the growing global population, biomass generation is also rising, and to achieve the goals of sustainable development and circular economy, converting biomass into renewable energy products is crucial. Recent advancements in biochemical and thermochemical processes maximize biofuel and bioenergy output and efficiency. Advanced pretreatment methods improve cellulose and hemicellulose accessibility, enhancing the overall conversion efficiency of biomass into biofuels & useful bio-products. Further, innovations in bioreactor design, biocatalysts, nanotechnology, ‘omics-technologies,’ and database systems have boosted biofuel and bioenergy production. However, integration of different renewable energies like solar, wind, and hydro energy technologies in combination with bioenergy for hybrid systems further confers maximizes energy output through a 15–37 % decrease in total system cost and minimizes waste of resources. It also contributing to achieve climate goals and energy security accompanied with an eminent 12–30 % decrease in greenhouse gas emission. The advantages, limitations and future directions of cutting-edge biomass conversions technologies and their integration with artificial intelligence and hybrid systems discussed in this review article to reduce waste, promote sustainable development, aligning with circular economy framework and sustainability goals for a clean and green future.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122714"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122688
Haida Tang , Xingkang Chai , Jiayu Chen , Yang Wan , Yuqin Wang , Wei Wan , Chunying Li
{"title":"Assessment of BIPV power generation potential at the city scale based on local climate zones: Combining physical simulation, machine learning and 3D building models","authors":"Haida Tang , Xingkang Chai , Jiayu Chen , Yang Wan , Yuqin Wang , Wei Wan , Chunying Li","doi":"10.1016/j.renene.2025.122688","DOIUrl":"10.1016/j.renene.2025.122688","url":null,"abstract":"<div><div>The adoption of distributed photovoltaic (PV) in cities can alleviate energy shortages, and building integrated photovoltaic (BIPV) has multiple advantages including building material saving and space saving. Predicting the potential of annual BIPV power generation (BIPVPG) and exploring the influencing factors in built environment is of great significance. This study created 50 simplified LCZ models based on the indicator ranges of LCZ categories 1–10. These models assume uniform building height and distribution to facilitate the simulation of annual BIPVPG. The annual BIPVPG (with PV materials applied on roofs and vertical facades) and the urban heat island (UHI) effects of the LCZ models in 15 cities were simulated. The UHI effects of the LCZ models were used to account for the reduction in BIPV efficiency caused by urban heat islands. Following that, the impact of climate and urban morphological factors on BIPVPG was studied using a multiple linear regression (MLR) and random forest (RF) model. According to the results, the RF model performed better in BIPV power generation prediction. Among urban morphological factors, average building height (ABH), aspect ratio (AR), and sky view factor (SVF) have dominant impact on urban BIPVPG. The impact on BIPVPG is minimal when ABH is between 10 and 15 m, and AR is between 1.5 and 2. When SVF is less than 0.8, the BIPVPG per unit building roof and wall area can be improved with building surface fraction (BSF) below 80. Among climate factors, solar radiation has significant impact on urban BIPVPG over other factors. Finally, based on the Guangzhou building data, the validated RF model was applied to predict Guangzhou's annual BIPV power potential. This study provides insights for machine learning models in BIPVPG assessment and offers quantitative recommendations for decision-makers and urban planners in developing BIPV cities with high energy resilience and sustainable level.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122688"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122713
Mohamad M. Alashmawy , Ahmed Elwardany , Hassan Shokry , Hamdy Hassan
{"title":"Hydrogen production from tea waste via fluidized bed gasification reactor of multi-ports injection: Experimental investigation","authors":"Mohamad M. Alashmawy , Ahmed Elwardany , Hassan Shokry , Hamdy Hassan","doi":"10.1016/j.renene.2025.122713","DOIUrl":"10.1016/j.renene.2025.122713","url":null,"abstract":"<div><div>This study investigates the gasification of tea waste biomass in a fluidized bed reactor, with a focus on optimizing syngas composition and energy content. A lab-scale hot flow fluidization bed reactor is designed, fabricated and installed. The impact of fluidization parameters, velocity and gasification temperature on the quality of syngas products is investigated. The effect of these parameters on the CO and H<sub>2</sub> percentages and calorific value of the produced syngas is studied. The results show that increasing air injection velocity enhances carbon monoxide (CO) production and reduces carbon dioxide (CO<sub>2</sub>) levels, with an optimal air injection velocity of 15 m/s for maximizing syngas calorific value. Furthermore, a gasification temperature of around 400 °C is found to be optimal for producing syngas with high calorific value, balancing CO and hydrogen (H<sub>2</sub>) production while minimizing CO<sub>2</sub>. A higher CO/CO<sub>2</sub> ratio is closely linked to increased syngas energy content, while the methane to hydrogen ratio also influences calorific value, though its impact is less predictable.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122713"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122690
Teyang Zhao , Hui Liu , Jinshuo Su , Ni Wang , Zhiqiang Luo
{"title":"Coordinated control for distributed energy resources in Islanded microgrids with improved frequency regulation capability","authors":"Teyang Zhao , Hui Liu , Jinshuo Su , Ni Wang , Zhiqiang Luo","doi":"10.1016/j.renene.2025.122690","DOIUrl":"10.1016/j.renene.2025.122690","url":null,"abstract":"<div><div>With the increasing prevalence of renewable energies in islanded microgrids, wind turbine generators are becoming one of the main resources that provide frequency ancillary services by rapid and significant active power increments. Nevertheless, the substantial power increment will inevitably lead to a significant secondary frequency dip for the rotor speed restoration period and frequency overshoot for minor disturbances. This paper proposes an improved deloaded scheme to avoid the secondary frequency dip by increasing the frequency regulation reserve, which can also reduce the pitch angle adjustments. In the deloaded mode, based on the quantified frequency regulation reserve and operational limitations of wind turbine generators, an active power enhancement strategy is proposed to improve the frequency nadir by enhancing the active power contribution. The stable operation of the wind turbine generator can be ensured by varying the active power with the rotor speed. Moreover, to eliminate the frequency overshoot and improve the frequency response, a switching-based coordinated control strategy is proposed to flexibly regulate the active power outputs for wind turbine generators and distributed energy resources by switching different control strategies according to the frequency deviation. Finally, simulation results on an islanded microgrid validate the effectiveness of the proposed strategies. For instance, compared with active power reserve control, the proposed switching-based coordinated control can reduce the maximum frequency deviation by 32.2 % and 14.5 % in large load increase and decrease scenarios, respectively.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122690"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122683
Lili Wang, Jun Pang
{"title":"Assessing the impact of climate mitigation technology and environmental tax on renewable energy development: A dynamic threshold approach","authors":"Lili Wang, Jun Pang","doi":"10.1016/j.renene.2025.122683","DOIUrl":"10.1016/j.renene.2025.122683","url":null,"abstract":"<div><div>The development and application of climate mitigation technology and environmental tax alleviating the pressure on energy transitions in OECD countries, but little effort has been made to clarify the role of climate mitigation technology and environmental tax in renewable energy consumption-economic growth. To fill this gap, this study uses panel data for 38 OECD countries over the period 2000–2020, and examines the nonlinear impact of renewable energy consumption, climate mitigation technology, environmental tax and economic growth by using a dynamic panel threshold model. Our investigation verifies the threshold effect of climate mitigation technology and environmental tax in the relationship between renewable energy consumption and economic growth. Our findings highlight the fact that, with the development of climate mitigation technology, renewable energy consumption has a significant positive impact on economic growth, and the impact coefficient is more significant in high-carbon areas. The threshold effect of renewable energy consumption on economic growth is larger in high-carbon regions than in low-carbon areas, using environmental taxes as the threshold variable. The results of this study are unique and our findings deepen the literature's understanding of the relationship between climate mitigation technology, environmental tax, renewable energy consumption, and economic growth.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122683"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122708
Shanshan Gao , Zhouying Song
{"title":"Trade frictions on China's photovoltaic trade and their reshaping effects","authors":"Shanshan Gao , Zhouying Song","doi":"10.1016/j.renene.2025.122708","DOIUrl":"10.1016/j.renene.2025.122708","url":null,"abstract":"<div><div>Nowadays, trade frictions from discriminatory trade policies have significantly affected global trade. As a key renewable energy, solar photovoltaic (PV) trade also suffers from large-scale trade frictions. China, as the largest solar PV manufacturer and exporter, accounts for 80 % of the global supply chain. Under this background, this paper takes China as a case, to assess the impacts of trade frictions on PV trades. First, we try to identify the trade frictions against China's PV products from 2009 to 2023, and analyze the country-specific and type-specific heterogeneity. Second, we apply the gravity model to explore the reshaping effects of trade frictions on China's PV trade, encompassing six types. The results show that the frequency of trade frictions against China's PV products increases and fluctuates from 2009 to 2023, with state aid and subsidies as the major type and world trading powers as the primary initiators. Trade frictions have a considerable dampening effect on China's PV exports. Import controls have a lagged short-to-medium-term effect, export controls have a cumulative but limited effect; trade defense instruments triggers a serious long-term trade dampening effect, but the relevant trade links are being restructured over time. This study has significant theoretical and practical implications, since it not only broadens awareness and focus on trade frictions but also provides a scientific basis for policymakers.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122708"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122689
W.K. Alani , J. Zheng , L. Lei , M.A. Fayad
{"title":"A novel hybrid thermoelectric generator configuration with blocking diodes to reduce power loss by preventing reverse current effects under non-uniform temperature distribution","authors":"W.K. Alani , J. Zheng , L. Lei , M.A. Fayad","doi":"10.1016/j.renene.2025.122689","DOIUrl":"10.1016/j.renene.2025.122689","url":null,"abstract":"<div><div>Thermoelectric Generators (TEGs) convert heat into electricity, offering sustainable renewable energy solutions. However, parallel TEG configurations face challenges from non-uniform temperature distributions (NTD), leading to power losses and reduced efficiency due to reverse current flow in real conditions. This study presents novel hybrid TEG configurations incorporating Schottky diodes as blocking diodes to mitigate reverse current effects, thereby reducing power losses and enhancing system performance.</div><div>The research aims to identify the most effective connection by evaluating power output and efficiency under controlled experimental conditions that replicate real-world non-uniform temperature distributions. Experimental data was obtained from a novel experimental setup designed in SolidWorks and simulated using MATLAB to evaluate the electrical and thermal performance of various parallel TEG configurations. Four identical TEG units (model TEG-10-62-30) were tested under simultaneous conditions: two integrated with Schottky diodes (model 1N5822) as blocking diodes and two in a standard configuration without diodes.</div><div>The key findings detected that integrating Schottky diodes improved TEGs performance, increasing power output from 2.281 W to 3.424 W and efficiency from 2.93 % to 4.191 % when the ΔT ranges from 0° to 68°. Discrepancies were minimized between theoretical and experimental results, and simulations predicted that hybrid configurations at ΔT = 170 °C could generate 26.184 W with 16.894 % efficiency.</div><div>This study emphasizes the effectiveness of hybrid TEG configurations with blocking diodes in minimizing power loss by preventing reverse currents under non-uniform temperature distribution, offering a promising solution to enhance energy recovery in renewable systems. Policymakers should promote hybrid TEG configurations with Schottky diodes to advance TEG technology and integrate energy recovery into renewable energy strategies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122689"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-02-18DOI: 10.1016/j.renene.2025.122701
Litu Sethi , Ugur Korkut Pata , Biswanath Behera , Malayaranjan Sahoo , Narayan Sethi
{"title":"Sustainable future orientation for BRICS+ nations: Green growth, political stability, renewable energy and technology for ecological footprint mitigation","authors":"Litu Sethi , Ugur Korkut Pata , Biswanath Behera , Malayaranjan Sahoo , Narayan Sethi","doi":"10.1016/j.renene.2025.122701","DOIUrl":"10.1016/j.renene.2025.122701","url":null,"abstract":"<div><div>The BRICS + countries are developing rapidly and generating large amounts of ecological footprint (EFP). For a sustainable global ecosystem, it is crucial to minimize EFP, especially in populous countries such as India and China. Therefore, this study examines the impact of green growth, political stability, social globalization, renewable energy (REN), financial development and ICT on the EFP in the newly formed BRICS + countries from 2000 to 2020 using nonlinear ARDL. The novelty of the study is that it tests the asymmetric effects of green growth on the EFP for the BRICS + countries. The results unveil intriguing asymmetries: Positive shocks to green growth and REN mitigate EFP, while negative shocks to green growth initially reduce it but then increase it. Similarly, positive shocks to political stability and REN are associated with a reduction in EFP, while negative shocks exacerbate it. Remarkably, social globalization exhibits an asymmetric effect on EFP in response to positive and negative shocks. In addition, ICT displays an asymmetric effect and increases the EFP in the BRICS + nations. These findings suggests that the BRICS + bloc, which is one of the world's highest fossil fuel consumers, should use REN to displace fossil fuels with a REN based power generation.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122701"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advanced optimization techniques for biogas-fueled cogeneration system using soft computing approaches","authors":"H. Rostamnejad Takleh , Milad Razbin , Sevda Mehdizadeh , Hediye Hashemzade , Milad Feili , Towhid Parikhani , Hossein Azariyan","doi":"10.1016/j.renene.2025.122707","DOIUrl":"10.1016/j.renene.2025.122707","url":null,"abstract":"<div><div>This study addresses critical gaps in biogas-based systems by proposing a novel cogeneration framework integrating advanced thermodynamic cycles, including the Kalina cycle, organic Rankine cycle, and vapor compression refrigeration cycle. Key innovations include utilizing the Kalina cycle separator's liquid output as a heat source and replacing the conventional condenser with a thermoelectric generator to reduce exergy loss and enhance power generation. Advanced predictive modeling using response surface methodology (RSM) and artificial neural networks (ANN), coupled with a genetic algorithm, enables dual-objective optimization of energy efficiency (EE) and total cost of the plant (TCOP). The proposed system achieved significant optimization results, demonstrating a TCOP of 64.68 $/MWh and an EE of 51.97 % under optimal conditions (ACPR = 7.17, T<sub>4</sub> = 1400 K, Y<sub>B</sub> = 69.80 %, T<sub>EVA</sub> = 270.36 K) with prediction errors below 2 %. Exergy destruction analysis revealed that the combustion chamber accounted for 54.9 % (1203 kW) of total exergy destruction, followed by the heat recovery unit at 16.67 % (365.2 kW) and the air preheater at 7.57 % (166 kW). Together, these components contributed 79.14 % of total exergy destruction. Other components, such as the thermoelectric generator and air compressor, exhibited moderate destruction rates of 84.04 kW and 116.3 kW, respectively.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"245 ","pages":"Article 122707"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}