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Potential of wind turbines on the alteration of carbon dioxide concentration J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-14 Venkatesh Pulletikurthi, Clarice Nelson, Luciano Castillo
Anthropogenic carbondioxide (CO2) emissions are a major factor in global warming, requiring significant cuts to combat climate change. A crucial technology to reduce global CO2 concentration is direct air capture (DAC) of CO2. However, existing DAC techniques are expensive because of low CO2 concentrations, and they frequently rely on fossil fuel-based energy. In this article, we investigate how wind
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A novel combined wind speed forecasting system based on fuzzy granulation and multi-objective optimization J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-13 Chenglin Yang, Jianzhou Wang
With the increasing application of wind energy, reliable wind speed prediction has become imperative. However, prior studies predominantly concentrated on single-model predictions, disregarding the inherent uncertainty in wind speed. This oversight resulted in inadequate deterministic and probabilistic forecasting outcomes across varying scenarios. To make up for these shortcomings, a novel forecasting
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Parametric study of catenary mooring system on floating wind turbine foundation dynamic response J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-08 Huiwen Meng, Yongqian Liu, De Tian, Kai Long, Bei Li, Yi Su, Ke Sun
The ability of the floating offshore wind turbine foundation to withstand harsh wind and wave conditions is intrinsically linked to the meticulousness employed in the design of the mooring system. Therefore, it is vital to conduct research to reveal the variations in sensitivity of new mooring materials parameters and the response characteristics of the foundation in the presence of intricate operational
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Systematic literature review based on the descriptive, bibliometric, and content analysis of renewable energy supply chain for a circular economy J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-08 Yağmur Arıöz, Abdullah Yıldızbaşı, Eren Özceylan, İbrahim Yılmaz
Recently, the renewable energy supply chain has gained momentum as a vital component for clean energy, contributing to a sustainable future for the world. The development of the renewable energy supply chain is directly linked to circular economy targets and practices. This paper presents a systematic literature review of studies that analyze the roles, functions, and application objectives of the
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Parametric study of passive flow enhancement on a magnus VAWT blade using response surface methodology and direct-forcing immersed boundary method J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-08 Fandi D. Suprianto, Ming-Jyh Chern, Chin-Cheng Wang
The Magnus vertical axis wind turbine harnesses the principle of the Magnus effect in conjunction with a vertical axis orientation. This mechanism is based on the lift and drag produced by rotating cylinders to propel the rotor and generate power. The proposed method involved installing a flat plate near each rotating cylinder to generate a higher unidirectional torque. As the configuration of the
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Numerical simulation of the flow and output of a Savonius hydraulic turbine using the lattice Boltzmann method J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-07 Tomomi Uchiyama, Takeshi Seta, Shouichiro Iio, Toshihiko Ikeda, Kotaro Takamure
The flow and output of a Savonius hydraulic turbine rotor were simulated using the lattice Boltzmann method (LBM). The rotor, characterized by a configuration featuring two semi-circular arc-shaped blades, operated at a Reynolds number of 1.1 × 105. The simulations were conducted in a two-dimensional domain, focusing on the incompressible flow within the cross-sectional area of the rotor perpendicular
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Identifying wind regimes near Kuwait using self-organizing maps J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-06 Steven Naegele, Jared A. Lee, Steven J. Greybush, George S. Young, Sue Ellen Haupt
Optimization of wind energy integration requires knowing the relationship between weather patterns and winds they cause. For a region with less-studied weather such as the Middle East, climatology becomes more vital. The Shagaya Renewable Energy Park in development in Kuwait experiences regional wind regimes that affect wind power production. Weather Research and Forecasting (WRF) model output allowed
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A hybrid solar-driven vacuum thermionic generator and looped multi-stage thermoacoustically driven cryocooler system: Exergy- and emergy-based analysis and optimization J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-06 Yasaman Yousefi, Arshiya Noorpoor, Fateme Ahmadi Boyaghchi
Significant high-quality heat is wasted in the vacuum thermionic generator (VTIG), which can be efficiently utilized as a prime mover of a bottoming system for cogeneration applications. For this purpose, a new environmental-friendly hybrid system composed of a heliostat solar field, VTIG, and looped multi-stage thermoacoustically driven cryocooler (LMTC) is established, in which the high-temperature
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Levelized costs and potential production of green hydrogen with wind and solar power in different provinces of mainland China J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-05 Jinping Man, Tieju Ma, Yadong Yu, Hongtao Ren
Green hydrogen produced from renewable sources such as wind and photovoltaic (PV) power is expected to be pivotal in China's carbon neutrality target by 2060. This study assessed the potential production, levelized costs of hydrogen (LCOH), and the cost structure in diverse mainland Chinese provinces from 2020 to 2060. It considered various combinations of electrolysis technologies, specifically alkaline
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Ultra-short-term wind power forecasting based on feature weight analysis and cluster dynamic division J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-05 Chen Chang, Yuyu Meng, Jiuyuan Huo, Jihao Xu, Tian Xie
Accurate and reliable ultra-short-term wind power forecasting (WPF) is of great significance to the safe and stable operation of power systems, but the current research is difficult to balance the prediction accuracy, timeliness, and applicability at the same time. Therefore, this paper proposes a ultra-short-term WPF model based on feature weight analysis and cluster dynamic division. The model introduces
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Improved reference condition independent method for output performance estimation of PV modules under varying operating conditions J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-05 Guorong Li, Yunpeng Zhang, Jiao Ma, Hai Zhou, Ji Wu, Shumin Sun, Daning You, Yuanpeng Zhang
Traditional methods for estimating output property of the photovoltaic (PV) modules are strongly influenced by the selection of reference condition and transforming equations, which determine the calculated physical parameters under real operating conditions. The differences in the carrier transport properties of PV cells under varying operating conditions, such as the number and velocity of minority
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Optimal allocation method for MIES-based shared energy storage using cooperative game theory and CSP J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-04 Wei Chen, Haonan Lu, Zhanhong Wei
To further promote the efficient use of energy storage and the local consumption of renewable energy in a multi-integrated energy system (MIES), a MIES model is developed based on the operational characteristics and profitability mechanism of a shared energy storage station (SESS), considering concentrating solar power (CSP), integrated demand response, and renewable energy output uncertainty. We propose
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Research on mining high performance path rules for new energy enterprises from the perspective of social responsibility—Empirical data from China J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-01 Chao Zhang, Jun Wang, Shu Hu, Yong Wu, Weidong Zhu
The high-quality development of new energy enterprises is of great significance to promote carbon peak and carbon neutrality and cope with the global warming crisis. However, with the increasing intensity of market competition and the appropriate weakening of the expected future subsidies, how to improve their performance through the fulfillment of the social responsibility of stakeholders has become
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Methane catalytic cracking by solid materials and molten media for hydrogen production: A review J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-01 Lei Guo, Jinchi Tan, Junyue Ren, Zhancheng Guo
Excessive emission of carbon dioxide is the leading cause of global warming. Hydrogen has the advantages of high calorific value and zero carbon emissions. It is considered an ideal energy to solve the problem of global warming, so the demand for hydrogen is increasing yearly. Due to economic considerations, methane is the main raw material for hydrogen production. Currently, 48% of the world's hydrogen
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How do renewable energy transformation and technological innovation promote carbon productivity? Empirical evidence from China J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-28 Xiaohong Liu
The Chinese government is committed to achieve the goal of “double carbon” and proposes to shift from double control of energy consumption to double control of carbon emissions. In this scenario, it is of great theoretical and practical significance to study the impact of renewable energy transformation (RET) and technological innovation on carbon productivity (CP). Based on panel data obtained from
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Efficient surrogate-assisted importance sampling for rare event assessment in probabilistic power flow J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-27 Chenxu Wang, Yixi Zhou, Yan Peng, Xiaohua Xuan, Deqiang Gan, Junchao Ma
In recent years, the increasing integration of renewable energy and electric vehicles has exacerbated uncertainties in power systems. Operators are interested in identifying potential violation events such as overvoltage and overload via probabilistic power flow calculations. Evaluating the violation probabilities requires sufficient accuracy in tail regions of the output distributions. However, the
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Potential root mean square error skill score J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-26 Martin János Mayer, Dazhi Yang
Consistency, in a narrow sense, denotes the alignment between the forecast-optimization strategy and the verification directive. The current recommended deterministic solar forecast verification practice is to report the skill score based on root mean square error (RMSE), which would violate the notion of consistency if the forecasts are optimized under another strategy such as minimizing the mean
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Improving multi-state appliance classification by SE-DenseNet based on color encoding in non-intrusive load monitoring J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-20 Yinghua Han, Zhiwei Dou, Yu Zhao, Qiang Zhao
Non-intrusive load monitoring (NILM) is a technique that efficiently monitors appliances' operational status and energy consumption by utilizing voltage and current data, without intrusive measurements. In NILM, designing efficient classification models and building distinctive load features are crucial. However, due to its continuously variable load characteristics, multi-state load identification
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A real-time energy dispatch strategy based on the energy cooperative optimization complementarity model of multi-microgrids J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-20 Zhipeng Wang, Nan Wu
With the wide application of high proportion of distributed clean energy in regional microgrids, the issue of maximizing the utilization of renewable energy among multi-microgrids has become a research hotspot. Based on the proposed multi-microgrids' energy collaborative optimization and complementation model, a multi-microgrids' energy real-time optimization management and dispatch strategy is proposed
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Photosynthetically active radiation separation model for high-latitude regions in agrivoltaic systems modeling J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-16 S. Ma Lu, D. Yang, M. C. Anderson, S. Zainali, B. Stridh, A. Avelin, P. E. Campana
Photosynthetically active radiation is a key parameter for determining crop yield. Separating photosynthetically active radiation into direct and diffuse components is significant to agrivoltaic systems. The varying shading conditions caused by the solar panels produce a higher contribution of diffuse irradiance reaching the crops. This study introduces a new separation model capable of accurately
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Optimization and control strategy for wind turbine aerodynamic performance under uncertainties J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-11 Hongyan Tian, Zhihao Tang, Heng Ouyang, Rong Wang, Fang Wang, Shuyong Duan
Aerodynamic performance of wind turbine governs the overall energy efficiency, which has been an ever-lasting research focus in the field of wind power technology. Due to the coupling effect among the highly complex environmental and structural uncertainties, the practical aerodynamic performance may not be reliably predicted. To aggravate, this performance declines with time in service. It is of great
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An ICEEMDAN-based collaborative optimization control for wind-hydrogen-electrochemical energy storage under multiple application scenarios J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-11 Xiaojuan Han, Siqi Guo, Zhewen Zhang
An improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN)-based collaborative optimization control strategy of wind-hydrogen-electrochemical energy storage coupled system with the interconversion characteristics between hydrogen with electricity under multiple application scenarios is introduced in this paper. After identifying the grid-connected wind power based on
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Integrating spatio-positional series attention to deep network for multi-turbine short-term wind power prediction J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-02-01 Qianyue Wang, Gangquan Si, Kai Qu, Zihan Shan, Jiahui Gong, Chen Yang
Multi-turbine wind power (WP) prediction contributes to wind turbine (WT) management and refined wind farm operations. However, the intricate and dynamic nature of the interrelationships among WTs hinders the full exploration of their potential in improving prediction. This paper proposes a novel spatio-positional series attention long short-term memory (SPSA-LSTM) method, which extracts the hidden
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Enhancing short-term wind power forecasting accuracy for reliable and safe integration into power systems: A gray relational analysis and optimized support vector regression machine approach J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-31 Yuwei Liu, Lingling Li, Jiaqi Liu
The reliability and safety of power systems heavily depend on accurate forecasting of new energy generation. However, the non-stationarity and randomness of new energy generation power increase forecasting difficulty. This paper aims to propose a short-term wind power forecasting method with strong characterization ability to accurately understand future new energy generation conditions so as to ensure
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Exergoeconomic evaluation of fuel production from rice husk residue through the pyrolysis process J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-31 David Alejandro Gómez-González, Luis Alejandro Méndez-Duran, Harvey Andrés Milquez-Sanabria
Some agro-industrial wastes are currently untreated, resulting in an increase in greenhouse gas emissions. Therefore, in relation to the pollution generated by fossil fuels, the study of the obtained fuels from agro-industrial and forestry residues has been promoted. Rice is a basic product for several families in the world, and its residue is a component that has enormous potential in Colombia due
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Short-term multi-step forecasting of rooftop solar power generation using a combined data decomposition and deep learning model of EEMD-GRU J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-30 Nam Nguyen Vu Nhat, Duc Nguyen Huu, Thu Thi Hoai Nguyen
In this study, an integrated forecasting model was developed by combining the ensemble empirical mode decomposition (EEMD) model and gated recurrent unit (GRU) neural network to accurately predict the rooftop solar power output at a specific power unit located in Tay Ninh province, Vietnam. The EEMD method was employed to decompose the solar power signals into multiple frequencies, allowing for a more
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Tungstoborate heteropolyacid-catalyzed lignin liquefaction: Product yield and component distribution J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-30 Min Chen, Jing Lou, Yang Zhang, Lu Li, Yan Li, Xin-an Xie
Tungstoborate heteropolyacid catalysts have good catalytic degradation performance, especially for selective cleavage of C–C bonds in biomass. In this paper, the product yield and component distribution of tungstoborate heteropolyacid (BW12)-catalyzed lignin liquefaction were investigated at different parameters, including temperatures (120, 140, 160, 180, and 200 °C), catalyst amount (0, 2.5, 5, 10
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A joint missing power data recovery method based on the spatiotemporal correlation of multiple wind farms J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-29 Haochen Li, Liqun Liu, Qiusheng He
In reality, wind power data are often accompanied by data losses, which can affect the accurate prediction of wind power and subsequently impact the real-time scheduling of the power system. Existing methods for recovering missing data primarily consider the environmental conditions of individual wind farms, thereby overlooking the spatiotemporal correlations between neighboring wind farms, which significantly
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A study on financing mode selection of wind power enterprises based on prospect theory: A case study in China J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-29 Huixin Liu, Simeng Wang, Yuqian Zhang
As a kind of renewable energy enterprise, wind power enterprise plays an important role in the energy transformation. However, its financing problems are also widespread. The purpose of this paper is to study the financing mode selection in order to improve sustainable development and future benefits of wind power enterprises. First, an evaluation index system is constructed through literature research
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A transient performance evaluation of a porous evaporative cooler for preservation of fruits and vegetables J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-29 Rosemary O. Paul-Okore, Chima C. Ike, Godswill N. Nwaji, Olisa C. Nwufo, Nnamdi V. Ogueke, Emmanuel E. Anyanwu
A transient performance of a porous evaporative cooling system was carried out using mathematical models developed from the first principles. The models are based on energy and mass balance analysis on different sections of the evaporative cooler. The developed models were solved using a FlexPDE computational fluid dynamics analyzer, based on the finite element, to generate numerical solutions. The
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Event-triggered data-driven load frequency control for multi-area power system with wind penetration under deregulation environment J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-25 Xuhui Bu, Yiming Zeng, Yanling Yin, Jiaqi Liang
In order to solve the problem of power exchange between areas of multi-area power systems under the power market, this paper designs a power trading contract based on the generation participation matrix, so as to simulate the specific process of power change in each area. With the integration of wind power into the large-scale power system, it is difficult to model the multi-area power system. For
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Coordinated frequency control study of variable speed variable pitch of DFIG load shedding unit based on VSG J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-18 Lei Liu, Bo Zhao, Juan Hu
The involvement of wind turbines operating at load shedding levels in primary frequency regulation serves as a crucial technical solution to provide high levels of inertial response capability and frequency regulation capability in power systems with significant proportions of renewable energy. Load-shedding units' frequency regulation capacity is constrained by the optimal operating speed, which prevents
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Using the petiole of the miriti palm for the core of a small wind turbine blade J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-18 I. dos S. Gomes, J. R. P. Vaz, D. H. Wood
In many small wind turbine blades, the interior space between laminate skins is filled by a material core. The mechanical properties of the core are much less important than its density, which must be low to reduce the moment of inertia as high inertia increases both the starting time of the turbine and the gyroscopic loads on the blades. In this paper, we use, for the first time, the petiole of the
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Experimental assessment of a morphing trailing edge device for wind turbine blade performance improvement J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-17 L. Giammichele, V. D'Alessandro, M. Falone, R. Ricci
Nowadays, wind energy plays a central role in the renewable energy production, and the optimization of wind turbine performance is the focus of current research studies. In this context, morphing trailing edge system could be a promising solution to enhance wind turbine blades' aerodynamic performance. In this paper, an innovative morphing trailing edge system was designed, developed, and tested to
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Inter-provincial factors decomposition and decoupling analysis of generalized agricultural carbon emissions in China J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-11 Lei Wen, Wenyu Xue
China, a country with a long-standing agricultural legacy, is increasingly prioritizing the reduction of CO2 emissions from its agricultural sector. Initially, the carbon emission sources within the agricultural sector are classified into two categories: direct and indirect emissions. Using this classification, the study calculates the generalized agricultural carbon emissions (GACEs) of 30 provinces
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Strategy of Chinese energy companies in the world market of oilfield services and logistics services: Regional aspects J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-11 Mushfig Guliyev, Azer Agarzayev, Lamiya Huseynova, Orkhan Huseynli, Samira Rustamova
The aggravation of the problem of climate change, as well as the growth of carbon dioxide emissions, determines the increased interest of the scientific community in the development of effective methods to minimize the growing threats. The focus of scientists is China with its accelerated economic development, contributing to the growth of carbon dioxide emissions and other environmental problems.
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A decentralized dispatch model for multiple micro energy grids system considering renewable energy uncertainties and energy interactions J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-11 Shengli Si, Wei Sun, Yuwei Wang
Micro energy grids (MEGs) play a vital role in realizing carbon neutrality and efficient utilization of renewable energy resources. This research focuses on optimizing the synergy of MEG interconnections. Given the diverse development paths of different operating entities within the system, information barriers emerge among MEGs, creating great difficulties for the collaborative system management.
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A dynamic wall modeling approach for large eddy simulation of offshore wind farms in realistic oceanic conditions J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-09 A. K. Aiyer, L. Deike, M. E. Mueller
Due to the multitude of scales present in realistic oceanic conditions, resolving the surface stress is computationally intensive, motivating modeling approaches. In this work, a dynamic wave drag model is developed for large eddy simulation (LES) to quantify the effects of multiscale dynamically rough surfaces on the atmospheric boundary layer. The waves are vertically unresolved, and the total drag
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Barriers and variable spacing enhance convective cooling and increase power output in solar PV plants J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-08 Brooke J. Stanislawski, Todd Harman, Raúl Bayoán Cal, Marc Calaf
When the temperature of solar photovoltaic (PV) modules rises, efficiency drops and module degradation accelerates. Thus, it is beneficial to reduce module operating temperatures. Previous studies of solar power plants have illustrated that incoming flow characteristics, turbulent mixing, and array geometry can strongly impact convective cooling, as measured by the convective heat transfer coefficient
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Two three-dimensional super-Gaussian wake models for hilly terrain J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-08 Linsheng Dai, Zhumei Luo, Tao Guo, Haocheng Chao, Guanghe Dong, Zhikai Hu
With the increase in wind farms in hilly terrain, it is particularly important to explore the downstream wake expansion of wind turbines in hilly terrains. This study established two complex terrain-applicable super-Gaussian wake models based on the Coanda effect and the wind speed-up phenomenon. Then, by considering the wind shear effect and the law of mass conservation, two three-dimensional (3D)
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High areal-capacitance based extremely stable flexible supercapacitors using binder-free exfoliated graphite paper electrode J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-05 Jitendra Kumar Yadav, Bharti Rani, Ajay Tiwari, Ambesh Dixit
The highly porous and binder-free flexible paper electrodes can enhance the specific capacitance of symmetric supercapacitors (SCs) due to their large surface and effective ion diffusion pathways. We synthesized the exfoliated graphite (ExG) by the thermal exfoliation method of chemically treated graphite flakes and compressed it into a paper-like thin sheet (binder-free) of ∼0.15 mm thickness. The
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Case study of a bore wind-ramp event from lidar measurements and HRRR simulations over ARM Southern Great Plains J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-03 Yelena L. Pichugina, Robert M. Banta, E. J. Strobach, B. J. Carroll, W. Alan Brewer, D. D. Turner, V. Wulfmeyer, E. James, T. R. Lee, S. Baidar, J. B. Olson, R. K. Newsom, H.-S. Bauer, R. Rai
The rapid change of wind speed and direction on 21 August 2017 is studied using Doppler lidar measurements at five sites of the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) facility in north-central Oklahoma. The Doppler lidar data were investigated along with meteorological variables such as temperature, humidity, and turbulence available from the large suite of instrumentation
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Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-02 Kerry S. Klemmer, Emily P. Condon, Michael F. Howland
Wind farm design generally relies on the use of historical data and analytical wake models to predict farm quantities, such as annual energy production (AEP). Uncertainty in input wind data that drive these predictions can translate to significant uncertainty in output quantities. We examine two sources of uncertainty stemming from the level of description of the relevant meteorological variables and
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Use of an optical profilometer to measure the aerodynamic shape and the twist of a wind turbine blade J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-01-02 Eduardo Torres-Moreno, Víctor Iván Moreno-Oliva, Manuel Campos-García, José Rafael Dorrego-Portela, Orlando Lastres-Danguillecourt, Neín Farrera-Vázquez
This study introduces a metrological approach to measure the aerodynamic shape and the twist of a wind turbine blade. The optical profilometer measurement technique used is laser triangulation. A camera records the image of a line projected onto a section of the blade and, by reconstructing the airfoil shape, the twist angular position of the profile with respect to the axial line of the blade is determined
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Optimal incentive schemes to achieve a given market share target for new energy vehicles under China's dual credit policy J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-26 Xinming Zang, Xiangfeng Ji, Hui Zhao, Xue Liu
The Chinese national government and local governments have introduced multiple incentive measures to increase the market share of new energy vehicles (NEVs), such as dual credit policy, financial subsidies, and building new charging infrastructures. However, the government's budget to support the development of NEVs is limited. In this paper, we consider a duopolistic market consisting of a gasoline
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Prediction of heating performance of carbon dioxide heat pump air conditioning system for electric vehicles based on PSO-BP optimization J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-21 Yan Zhang, Yu Zhao, Fuwu Yan, Liange He, Donggang Zhao, Jianglu Huang
CO2 heat pump air conditioning (HPAC) systems for electric vehicles (EVs) have received widespread attention for their excellent low-temperature heating capabilities. However, the range of EVs is limited by the battery energy storage, which makes the energy demand of the heating system affect the energy use efficiency of the drive battery. In order to measure the thermal economy of the air conditioning
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A fault severity quantification approach of photovoltaic array based on pre-estimation and fine-tuning of fault parameters J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-21 Jingwei Zhang, Yisheng Su, Yongjie Liu, Zenan Yang, Kun Ding, Yuanliang Li, Xihui Chen, Xiang Chen
Harsh outdoor operations may cause various abnormalities or faults of photovoltaic (PV) array, decrease the energy yield and lifespan, and even cause catastrophic events. Recently, many approaches have been successfully applied to the fault diagnosis for PV arrays. However, few studies investigate the evaluation and quantification of fault severity. The quantified fault severity can facilitate the
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A geospatial integrated multi-criteria approach for assessment of solar and wind energy potentials with economic and environmental analysis J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-20 S. K. Saraswat, Abhijeet K. Digalwar
India has made an international commitment to generate about 50% of its total energy needs from renewable energy sources by 2030. Here, to meet such a commitment, this study developed high-resolution (1 × 1 km2) geospatial solar and wind geographical potential maps with an aim to calculate the theoretical and technical potentials with economic and environmental sustainability. These geographical potential
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Peer-to-peer energy trading in a community based on deep reinforcement learning J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-19 Yiqun Wang, Qingyu Yang, Donghe Li
With the massive access to distributed energy resources, an increasing number of users have transformed into prosumers with the functions of producing, storing, and consuming electric energy. Peer-to-peer (P2P) energy trading, as a new way to allow direct energy transactions between prosumers, is becoming increasingly widespread. How to determine the trading strategy of prosumers participating in P2P
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Large-eddy simulations of turbulent flows in arrays of helical- and straight-bladed vertical-axis wind turbines J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-13 Masoumeh Gharaati, Nathaniel J. Wei, John O. Dabiri, Luis A. Martínez-Tossas, Di Yang
Effects of helical-shaped blades on the flow characteristics and power production of finite-length wind farms composed of vertical-axis wind turbines (VAWTs) are studied numerically using large-eddy simulation (LES). Two helical-bladed VAWTs (with opposite blade twist angles) are studied against one straight-bladed VAWT in different array configurations with coarse, intermediate, and tight spacings
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Wind turbine dynamic shading: The effects on combined solar and wind farms J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-11 Nico J. Dekker, Lenneke H. Slooff, Mark J. Jansen, Gertjan de Graaff, Jaco Hovius, Rudi Jonkman, Jesper Zuurbier, Jan Pronk
The Dutch climate agreement anticipates the large-scale implementation of solar and wind energy systems on land and water. Combining solar and wind farms has the benefit of multiple surface area use, and it also has the advantage of energy generation from both solar and wind energy systems, which is rather complementary in time; thus, a better balance can be found between electricity generation and
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Design approach of thrust-matched rotor for basin model tests of floating straight-bladed vertical axis wind turbines J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-08 Q. Cao, Y. Chen, K. Zhang, X. Zhang, Z. Cheng, B. Wen
Rotor redesign approaches have been widely proposed to solve the thrust mismatch issue caused by scaling effects for basin model tests of horizontal axis floating wind turbines (FWTs). However, limited basin model tests utilized the thrust-matched rotor (TMR) to accurately evaluate the aerodynamic loads applying to the vertical axis FWTs. This paper described the detailed design approach of the TMR
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Accuracy assessment of satellite-based and reanalysis solar irradiance data for solar PV output forecasting using SARIMAX J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-06 Jessa A. Ibañez, Ian B. Benitez, Jayson M. Cañete, Joselito C. Magadia, Jeark A. Principe
Forecasting models are often constrained by data availability, and in forecasting solar photovoltaic (PV) output, the literature suggests that solar irradiance contributes the most to solar PV output. The objective of this study is to identify which between the satellite-based and reanalysis solar irradiance data, namely, short wave radiation (SWR) and surface solar radiation downward (SSRD), respectively
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A sustainable model using RSM and MCDM techniques to evaluate performance and emission characteristics of a diesel engine fueled with diphenylamine antioxidant and CeO2 nanoparticle additive biodiesel blends J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-04 Vijay Kumar, Akhilesh Kumar Choudhary
Overconsuming fossil fuels has worsened global warming and air pollution, requiring us to investigate alternate fuels for compression ignition engines. Biodiesel is a renewable fuel and environmentally favorable. Biodiesel's most significant disadvantage is increased nitrogen oxide (NOx) emissions. The intent of the present study was to examine the impact of antioxidant diphenylamine (DPA) and nanoparticle
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The impacts of atmospheric icing on performance and behavior of a controlled large-scale wind turbine J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-04 Mustafa Sahin, Touraj Farsadi
Icing degrades turbine performance by altering the geometry of blade airfoils, reducing turbine power output, and increasing structural loads. In this study, the impacts of atmospheric icing on the full performance and behavior of a controlled large-scale wind turbine are thoroughly investigated. Using the Mustafa Sahin bladed wind turbine simulation model, the National Renewable Energy Laboratory
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Modeling and comparative assessment of solar thermal systems for space and water heating: Liquid water versus air-based systems J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-01 Sardar Muhammad Aneeq Khan, Abdul Waheed Badar, M. Salman Siddiqui, Muhammad Zeeshan Siddique, Muhammad Saad Ul Haq, Fahad Sarfraz Butt
This work pertains to the transient modeling and comparative study of active solar thermal space and water heating systems using liquid and air-type solar thermal collectors as the main energy source. The study utilizes TRNSYS to simulate the two systems in the context of Taxila's weather data (located at 33.74°N, 72.83°E), with the goal of meeting peak space and domestic water heating demands of 20
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Enrichment of fuel properties of biomass using non-oxidative torrefaction for gasification J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-01 Rabindra Kangsha Banik, Pankaj Kalita
The abundance and replenishment nature of solid biomass prompt fuel substitution for gasification and thermal power plants. However, many challenges are encountered while utilizing raw biomass, such as seasonality, strong hydrophilicity, low bulk and energy density, excess oxygen content, less compositional homogeneity, and poor grindability. It is, therefore, indispensable to augment the thermo-chemical
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A present scenario of the computational approaches for ternary organic solar cells J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-12-01 Oscar Eraso, Daniela Bolaños, Nikolas Echeverri, Carolina Orozco Donneys, Tayebeh Ameri, Jose Dario Perea
Computer science implements algorithms and techniques to automate problem-solving solutions. Due to the chemical versatility of organic building blocks, many organic semiconductors have been utilized for organic solar cells (OSCs). The computational methods can potentially drive experimentalists to discover and design high-performance materials. OSCs' objective is the performance of their energy conversion
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Adaptive fractional backstepping intelligent controller for maximum power extraction of a wind turbine system J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-11-21 Amir Veisi, Hadi Delavari
Controlling wind power plants is a challenging issue, however. This is due to its highly nonlinear dynamics, unknown disturbances, parameter uncertainties, and quick variations in the wind speed profiles. So robust controllers are needed to overcome these challenges. This paper suggests two novel control approaches for doubly fed induction generator-based wind turbines. Its key objective is to regulate
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Impact of antibiotics on methane produced from cellulose J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2023-11-20 Qili Zhu, Toshinari Maeda, Chenghan Chen, Yanwei Wang, Furong Tan, Guoquan Hu, Mingxiong He
Enhancing production of methane from cellulose is of utmost importance to improve the fermentation efficiency of lignocellulosic biomass. Antibiotics have demonstrated their ability to stimulate anaerobic digestion (AD) by influencing micro-organism activity. However, there has been limited research on the specific effect of antibiotics on cellulose AD. In this study, we investigated the impact of