Article
Energy & Fuels
Raghed Melhem, Yomna Shaker
Summary: This article focuses on optimizing the tilt angle of solar panels in the GCC countries. By using a mathematical model and comparing it with the PVWatts calculator, the study calculates the optimal tilt angle based on latitude and longitude. The importance of choosing the right tilt angle for maximizing solar energy production is emphasized. The results show that changing the tilt angle 12 times a year can increase power output by 10.9%. The study highlights the importance of selecting the optimal tilt angle and provides valuable data for the GCC countries.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Thermodynamics
Jiaxuan Jing, Yong Zhou, Lingyu Wang, Yanfeng Liu, Dengjia Wang
Summary: This study aims to fill the gaps in global solar radiation data by using limited data from 85 meteorological observation stations and routine meteorological data from 2001 stations. The spatial distribution of global solar radiation and diffuse solar radiation is obtained using the Inverse Distance Weighing model. The optimum tilt angle of photovoltaic systems is calculated using the Collares-Pereira and Rabl hourly solar radiation model and the solar radiation on sloped surfaces model. The results show the range of annual global solar radiation and diffuse solar radiation in China, as well as the optimal tilt angle and photovoltaic power generation potential.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Samuele Memme, Marco Fossa
Summary: This paper addresses the problem of determining the yearly maximum energy producibility in terms of optimum tilt angle for solar surfaces in 216 locations in France and Italy. Original correlations are proposed to calculate the optimal surface slope as a correction parameter. The formulas for the correction factor are based on local climate conditions and inferred from local monthly insolation data. An optimization problem is solved to maximize the yearly collectable energy by a sloped surface, considering different azimuth values. The proposed formulas provide accurate results and can lead to a 4% increase in solar energy collection.
Article
Thermodynamics
Ashutosh Sharma, Mehmet Ali Kallioglu, Anchal Awasthi, Ranchan Chauhan, Gusztav Fekete, Tej Singh
Summary: The study calculates the optimal tilt angles for different months in Hamirpur, India, using various mathematical models and statistical tools. Cost-benefit analysis reveals that model M-11 with three annual adjustments provides the maximum benefits.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Tong Liu, Li Liu, Yufang He, Mengfei Sun, Jian Liu, Guochang Xu
Summary: This study proposes a universal mathematical model for calculating the optimal tilt angle of solar collectors based on the true orbit of the Sun, demonstrating variations in the optimal solar angle with month and latitude through several examples.
Article
Green & Sustainable Science & Technology
Nicholas Mukisa, Ramon Zamora
Summary: The study investigated the optimal tilt angle for pitched rooftops in the low latitude equatorial region of Uganda, using a replicable methodology. Results showed that the annual optimal tilt angle and average monthly optimal angle vary within specific ranges, with adjustments in the support structure needed for installation.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
Luting Xu, Enshen Long, Jincheng Wei, Zhu Cheng, Hanjie Zheng
Summary: The study introduces the concept of viewshed to analyze terrain shading effects for calculating the optimal angles of solar collectors in mountainous areas; By predicting potential solar irradiation under terrain shading, the optimal tilt angle and orientation of solar collectors can be detected; Considering the terrain shading effect can significantly increase solar energy collection compared to current standard recommendations.
Article
Green & Sustainable Science & Technology
Fen Li, Renkui Wang, Ling Mao, Donghai Zhu, Xu She, Jianping Guo, Shunfu Lin, Yongheng Yang
Summary: Building photovoltaic (PV) in big cities is a growing trend, but the lack of measured radiation data on vertical surface is a challenge. This study reviews ten solar radiation models to find the optimal one for calculating solar radiation on vertical surface in high turbidity areas like Beijing. The accuracy of the models is also examined in relation to atmospheric turbidity. The results suggest that the Perez model is suitable for calculating solar radiation, but high atmosphere turbidity may affect its accuracy. The study provides guidance for the deployment of building PV systems in Beijing, with an estimated annual AC output energy of 630-971 kWh/kWp.
IET RENEWABLE POWER GENERATION
(2022)
Article
Environmental Sciences
Sonia Z. Issaq, Shamil K. Talal, Aasim A. Azooz
Summary: A new model has been developed to determine the optimal tilt angle for PV panels and solar collectors based on yearly, seasonal, and monthly basis. The model estimates the diffusion component of solar radiation using Orgill and Holland's model, and the relationship between diffusion and direct components is derived from empirical data. The optimal tilt angle for each month, season, and year is determined by maximizing the total amount of diffused and direct radiation. The model is programmed in MATLAB and is consistent with experimental data and other published model predictions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Moon Keun Kim, Khalid Osman Abdulkadir, Jiying Liu, Joon-Ho Choi, Huiqing Wen
Summary: This study introduces an advanced strategy of combining a reflector with PV panels on a building to improve electricity generation. By optimizing the shape and tilt angle of the reflector using polished aluminum material, the solar radiation gain and electricity output of the PV panels can be significantly increased.
Article
Green & Sustainable Science & Technology
Marcin A. Bugaj, Krzysztof Mik
Summary: This paper presents the design and testing methodology of a flexible photovoltaic thermal collector (FPVT). The FPVT consists of cross-connected copper tubes and silicone pipes attached to a semiflexible silicon PV module. New indicators, such as the Bending Angle Modifier (BAM), were proposed to assess the performance of bendable solar devices. The testing procedure allows for evaluating and comparing different bending solutions. Tests confirmed the reproducibility of results and the similarity in performance between the thermal and electrical parts of the FPVT.
Article
Construction & Building Technology
Seyfi Sevik, Abdulkadir Kocer, Huseyin Ince, Fazli Engin Tombus
Summary: This study aims to determine the optimal tilt angle for solar collectors or PVs in the province of Corum, Turkey, and evaluates the solar potential of existing building stocks. Adjusting tilt angles and positioning buildings properly can significantly increase efficiency and contribute to decarbonization.
ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT
(2022)
Article
Energy & Fuels
Sheikh Suhail Mohammad, Sheikh Javed Iqbal, Rayes Ahmad Lone
Summary: This study aims to optimize solar energy utilization through tracking techniques. Mathematical modeling is used to calculate the optimal tilt angles and tilt factor, and the response and energy yield of different solar tracking techniques are evaluated. The results show that the two-axis tracking system yields the highest electrical energy production, and the energy yield can be further increased by using estimated optimal angles in horizontal axis monthly adjustment.
Article
Green & Sustainable Science & Technology
Yujun Liu, Ling Yao, Hou Jiang, Ning Lu, Jun Qin, Tang Liu, Chenghu Zhou
Summary: This study proposes a framework that combines ground and satellite data to determine the optimum tilt angle for solar photovoltaic power generation. The results show that the optimum tilt angles are highly correlated with latitude and diffuse fraction. Additionally, the study explores the benefits of periodically adjusting the tilt angle for solar panels.
Article
Green & Sustainable Science & Technology
Pramod N. Belkhode, Sagar D. Shelare, Chandrashekhar N. Sakhale, Ravinder Kumar, S. Shanmugan, Manzoore Elahi M. Soudagar, M. A. Mujtaba
Summary: The experiment analyzed the performance of various roof collector materials in a solar updraft tower setup in Nagpur, India, showing significant increases in output power by increasing chimney height and using different collector materials. The experimental results were compared with analytical values, demonstrating good agreement and validating the experimentation.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Jeremy D. Watson, Neville R. Watson, David Santos-Martin, Alan R. Wood, Scott Lemon, Allan J. V. Miller
IET GENERATION TRANSMISSION & DISTRIBUTION
(2016)
Article
Energy & Fuels
Miguel E. Montilla-DJesus, Santiago Arnaltes, Edgardo D. Castronuovo, David Santos-Martin
Article
Energy & Fuels
Miguel Carpintero-Renteria, David Santos-Martin, Monica Chinchilla, David Rebollal
Review
Energy & Fuels
Miguel Carpintero-Renteria, David Santos-Martin, Josep M. Guerrero
Article
Green & Sustainable Science & Technology
Ulpiano Ruiz-Rivas, Jorge Martinez-Crespo, Maria Venegas, Monica Chinchilla-Sanchez
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Miguel Carpintero-Renteria, David Santos-Martin, Andrew Lent, Carlos Ramos
IET RENEWABLE POWER GENERATION
(2020)
Article
Green & Sustainable Science & Technology
Carolina Nicolas-Martin, David Santos-Martin, Monica Chinchilla-Sanchez, Scott Lemon
Review
Energy & Fuels
David Rebollal, Miguel Carpintero-Renteria, David Santos-Martin, Monica Chinchilla
Summary: The review of standards for distributed generation and microgrids highlights the need for a common framework in the future to cover the diversity worldwide more comprehensively.
Article
Energy & Fuels
David Rebollal, Monica Chinchilla, David Santos-Martin, Josep M. Guerrero
Summary: The article discusses the impact of frequency-constrained unit commitment arrangements on operating costs and system security in power systems. By introducing dynamic considerations and applying Frequency-Constrained UC (FCUC), UFLS activation can be reduced and system reliability improved, although the implementation is time-consuming.
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.