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Experimental investigation of wave induced flapping foil for marine propulsion: Heave and pitch stiffness effect J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-15 Junxian Wang, Jingru Xing, M. Salman Siddiqui, Adriana Stawiarska, Liang Yang
The submerged hydrofoil has the capability to harness wave energy and convert it into thrust to work with the ship's power system. The current series of experiments investigated the interaction of a passive submerged hydrofoil with regular waves through a comparison of the generated horizontal forces. Springs provide the restoring force for the hydrofoil's heave/pitch motion, corresponding to heave
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Short-term photovoltaic power prediction model based on hierarchical clustering of K-means++ algorithm and deep learning hybrid model J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-15 Man Wang, Xiaojing Ma, Ru Wang, Tusongjiang Kari, Zihan Tang
In order to further improve the accuracy of photovoltaic (PV) power prediction and the stability of power system, a short-term PV power prediction model based on hierarchical clustering of K-means++ algorithm and deep learning hybrid model is proposed in this paper. First, hierarchical clustering of the K-means++ algorithm is used to cluster historical data into different weather scenes according to
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Exploring wind curtailment effects and economic implications in the growing variable renewable energy penetration J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-12 Dae-Young Kim, Bum-Suk Kim
Several countries continue to invest in variable renewable energy (VRE) sources to replace fossil fuels and achieve a nationally determined contribution. Consequently, as the share of VRE generation in each country's power grid increases, its curtailment also increases. Current studies on VRE curtailment are based on a comparative analysis of statistical data collected from different countries. However
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The role of epoxidation process on improving the oxidative, thermal stability, and tribological performance of mustard oil nano lubricants J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-12 Soumya Sikdar, Pradeep L. Menezes
This study investigated the potential of inedible mustard oil (MO) (Brassica juncea) as a suitable bio-lubricant for enhanced thermal, oxidative stability, and tribological performance. To improve the MO's oxidative stability, it was subjected to a chemical epoxidation reaction, forming epoxidized mustard oil (EMO). The MO and EMO were evaluated for viscosity, functional groups, wettability, oxidative
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Agrivoltaic system success: A review of parameters that matter J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-12 Naseem Ali
Solar energy is a rapidly growing sector, and agrivoltaic farms are playing an increasingly important role in meeting the world's energy needs. However, as the size and complexity of these farms increase, so do the challenges associated with managing them efficiently. This article presents a comprehensive review of the fundamental parameters that underpin agrivoltaic systems. Focusing on the latest
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Optimization of methyl ester synthesis using gas/liquid phase pulsed discharge plasma in a novel oscillatory slug flow reactor J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-11 Mohammadreza Asghari, Bahram Hosseinzadeh Samani, Rahim Ebrahimi, Sajad Rostami, Ebrahim Fayyazi
In the present research, an innovative oscillatory slug flow reactor (OSFR) under the treatment of gas–liquid phase pulsed discharge plasma was developed for biodiesel production. The main goal was continuous production of high quality biodiesel at low temperature and pressure. Experimental tests were carried out under the influence of four main operating parameters including applied voltage, molar
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The wake of a large wind turbine in stable atmospheric boundary layer flow, simulated in the EnFlo stratified-flow wind tunnel J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-11 Philip E. Hancock, Paul Hayden
The EnFlo stratified-flow wind tunnel is described, and the parameterization of stable atmospheric boundary layers in the context of wind turbines and stability classification is given, as are the scaling constraints for stratified-flow wind tunnel experiments. Wake measurements of mean velocity, Reynolds stresses, and turbulent heat flux were made for three mild stable states, including overlying
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Inviscid analysis of horizontal axis wind turbines using distributed vorticity elements J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-10 Blair J. Basom, Mark A. Miller, Constantinos S. Kandias, James G. Coder, Sven Schmitz, Mark D. Maughmer
The primary tool currently used for a wind turbine preliminary design is the blade element momentum method, which lacks a detailed wake model and relies on an assumption of non-interacting streamtubes. These simplifications limit the designer's ability to tailor the blade shape to minimize the induced power loss of the rotor. Improved prediction of the induced velocity distribution on the blades can
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Dynamic response of multi-unit floating offshore wind turbines to wave, current, and wind loads J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-09 A. Lamei, M. Hayatdavoodi, H. R. Riggs, R. C. Ertekin
Motion of a multi-unit wind-tracing floating offshore wind turbine (FOWT) to combined wave–current and wind is obtained in the frequency-domain. The linear diffraction wave theory with a Green function for small current speeds and the blade-element momentum method are used for the hydrodynamic and aerodynamic analysis, respectively. A finite-element method is coupled with the hydrodynamic and aerodynamic
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Solar cell parameter extraction, with less than 10% percentage error, integrating the Co-Content function, using up to order 6 Simpson integration method, and 51 measured points per volt or less, in the case of a percentage noise of the maximum current J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-08 Victor-Tapio Rangel-Kuoppa
In this article, the solar cell parameters (within the one-diode solar cell model) are obtained with less than 10% error, integrating the Co-Content function using up to order 6 Simpson integration method, and as a function of the number of measured points per volt and a percentage noise of the maximum current. It is shown, that less than 10% error (in some cases around 1%) can be obtained, in case
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Analysis of coupling characteristics of clean heating systems based on complementary solar, geothermal, and wind energy J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-08 Zhi Geng, Keyu Chen, Junfen Li, Jianli Wang, Tianqing Shi, Yujiong Gu
In order to overcome the limitations of traditional clean energy utilization methods, this paper proposed an innovative technical solution for a combined heating system that cleverly integrated solar, wind, and geothermal energy to achieve complementarity and synergized among them, thereby ensuring stable and efficient energy utilization. First, a comprehensive mathematical model was developed for
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Strategic pathways to sustainable energy: Carbon emission pinch analysis for Bangladesh's electricity sector J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-03 Md. Tarequzzaman, Imran Khan, Md. Sahabuddin, Md. Al-Amin
Balancing burgeoning energy demands in the electricity sector while curbing carbon emissions poses a formidable challenge for emerging economies like Bangladesh, which is heavily reliant on fossil fuels. Despite the country's power system master plan (PSMP) until 2041 and submitted intended nationally determined contributions (INDC) to tackle mounting energy needs and associated emissions, the PSMP
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Shaded fraction and backtracking in single-axis trackers on rolling terrain J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-04-02 Kevin S. Anderson, Adam R. Jensen
A generalized closed-form equation for the shaded collector fraction in solar arrays on rolling or undulating terrain is provided for single-axis tracking and fixed-tilt systems. The equation accounts for different rotation angles between the shaded and shading trackers, cross-axis slope between the two trackers, and offset between the collector plane and axis of rotation. The validity of the equation
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Performance analysis and scheduling study of hybrid CAES system operating jointly with wind and solar J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-29 Peng Jin, Yufei Zhang, Yaoguang Song, Xuchao Cai, Haiyang Wang, Huanran Wang, Ruixiong Li
Hybrid compressed air energy storage (H-CAES) system can effectively reduce the heat loss in the compression process, which is one of the important methods to solve the problem of renewable energy volatility. Based on the H-CAES system that combines adiabatic compression and isothermal compression, this paper proposes a liquid piston compressor arrangement to adapt to the input power fluctuation and
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Research on tradable green certificate contracts under the renewable portfolio standard J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-28 Ren Lingzhi, Yi Ning, Chen Zhanghua, Li Zhiying, Wang Hui, Li Xiaopeng
The implementation of renewable portfolio standards inevitably affects the strategic behavior and performance of tradable green certificate (TGC) market participants and brings policy risks and market risks. Contract is considered an effective governance tool to avoid the risks of TGC trading and helps TGC market participants to make scientific decisions. The article built a TGC contract model while
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Numerical study on aerodynamic and noise performance of bionic asymmetric airfoil with surface grooves J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-28 Mingjun Wen, Liming Wu
Based on the asymmetric NACA4412 baseline airfoil, a bionic airfoil with surface grooves is presented. For the bio-inspired airfoil, non-smooth grooves are placed on the trailing edge of NACA4412 airfoil. To reveal the effects of non-smooth structures of the trailing edge on the aerodynamic and noise performance of airfoil, large eddy simulation and Ffowcs Williams–Hawkings acoustic analogy are adopted
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Assessment of a combined heating and power system based on compressed air energy storage and reversible solid oxide cell: Energy, exergy, and exergoeconomic evaluation J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-27 Hui Hui, Xinwen Chang, Xiaofei Ji, Jiaxue Hui
The electricity grid with high-penetration renewable energy sources has urged us to seek means to solve the mismatching between electricity supply and demand. Energy storage technology could accomplish the energy conversion process between different periods to achieve the efficient and stable utilization of renewable energy sources. In this paper, a hybrid energy storage system based on compressed
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Changes in photovoltaic power output variability due to climate change in China: A multi-model ensemble mean analysis J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-26 Hui-Min Zuo, Hou-Liang Lu, Peng Sun, Jun Qiu, Fang-Fang Li
Solar photovoltaic (PV) power plays a crucial role in mitigating climate change. However, climate change may amplify weather variability and extreme conditions. The extreme conditions can increase the very low PV output and thereby increase the need for grid stabilization services. This study examined how weather variability affects PV power output in the near- (2025–2054) and far-future (2071–2100)
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Economic and low-carbon dispatch of industrial integrated energy system with EV load based on Stackelberg game framework J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-25 Lingjie Chen, Chunyue Song, Wei Jiang, Jun Zhao
Industrial integrated energy systems (IESs) and electric vehicles (EVs) provide new solutions for addressing the increasing challenges of the energy crisis and environmental pollution. With the increasing number of EVs and smart charging stations in industrial IES, the uncoordinated charging load of EVs imposes significant pressure on IES. Therefore, a well-designed dispatch scheme is crucial for reducing
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A decision framework of offshore photovoltaic power station site selection based on Pythagorean fuzzy ELECTRE-III method J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-22 Qinghua Mao, Jiacheng Fan, Jian Lv, Yaqing Gao, Jinjin Chen, Mengxin Guo
Offshore photovoltaic power stations (OPVPS) greatly help solve energy problems and land resource scarcity. A crucial phase of the OPVPS project lifecycle is site selection. To select the optimal location of OPVPS with many difficulties such as the uncertainty of the environment, the compensating relationships among criteria, and the different attributes of the alternatives, this paper proposed a fuzzy
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Vertical-axis turbine performance enhancement with physics-informed blade pitch control. Basic principles and proof of concept with high-fidelity numerical simulation J. Renew. Sustain. Energy (IF 2.5) Pub Date : 2024-03-20 Kai S. Wisner, Meilin Yu
In this study, we developed active physics-informed turbine blade pitch control methods to conquer the inconsistent energy harvesting efficiency challenges encountered by the vertical-axis turbines (VATs) technology. Specifically, individual turbine blades were pitched by actuators following commands from the physics-informed controllers, and the turbine performance improvements as a result of the
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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