Article
Thermodynamics
Jingze Yang, Zhen Yang, Yuanyuan Duan
Summary: The study proposed a hybrid renewable energy system with the optimal combination obtained through a multi-objective optimization algorithm. It was found that the combination of CSP plant and PV plant is an effective way to improve power generation reliability. The recommendation is to use power cycle to supplement power shortages.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Zhixiong Ding, Wei Wu, Michael Leung
Summary: Thermal energy storage (TES) technology is crucial in addressing energy crisis and environmental issues. Various TES technologies have been intensively studied, with a focus on advanced/hybrid TES technologies that show great potential. These technologies aim to overcome the limitations of basic TES and improve energy storage efficiency.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Lihua Qiu, Li He, Hongwei Lu, Dongzhe Liang
Summary: The study evaluated and optimized the pumped hydro storage potential in the Qinghai-Tibet Plateau, reducing evaluation redundancy and improving the accuracy of potential estimates. Results indicate that the central and southern regions of the plateau have the potential to provide more stable clean electricity, highlighting the significance of power grid infrastructure development in these areas.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Muhammad Haseeb Rasool, Onur Taylan, Usama Perwez, Canras Batunlu
Summary: With the transition towards affordable and clean energy, the energy sector is undergoing a structural transformation. The complexity of energy system planning has increased, requiring purpose-driven multi-objective functions. However, most studies lack comparative assessment of multi-objective optimization sizing for grid-interactive hybrid renewable energy systems. This study presents a comparative framework to assess sizing techniques and understand the adaptivity of the modeling process.
Review
Green & Sustainable Science & Technology
Saikat Saha, Gaurav Saini, Shubhangi Mishra, Anurag Chauhan, Subho Upadhyay
Summary: This research paper provides a comprehensive review of issues related to the Integrated Renewable Energy System (IRES), including storage options, modeling, design parameters, unit sizing methodologies, and control schemes. It discusses various storage options for catering to the stochastic nature of renewable sources and examines different technical, economical, social, and environmental parameters considered during the design of IRES. The paper describes the states of unit sizing methodologies and investigates control schemes for regulating the power output of intermittent sources. Lastly, it discusses several open challenging issues and their possible solutions regarding the design of IRES.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Yubo Wang, Zhenhua Quan, Yaohua Zhao, Lincheng Wang, Zichu Liu
Summary: A novel solar-air source heat pump system is proposed to efficiently and stably supply heat in the cold area of North China by using the latent heat of water in the ice tank as the main low-temperature heat source, complemented by solar energy and outdoor air. The system can also be used for cooling in summer, and combined with night energy storage to minimize building operation energy consumption and cost. The optimized system shows efficient operation under extreme weather conditions and a dynamic investment payback period of 3.86 years, presenting a promising way to meet building energy supply in cold areas.
Article
Chemistry, Physical
Junzhou Li, Jinbin Zhao, Yiwen Chen, Ling Mao, Keqing Qu, Fen Li
Summary: This paper discusses the potential of hydrogen energy storage systems in high-proportion renewable energy systems and proposes a bi-level optimization model for the economic operation of a wind-photovoltaichydrogen hybrid system. The study investigates the relationship between the operation of the storage system and the matching of source-load output, and introduces wind-solar complementarity and demand response as adjustment factors. By using a hybrid optimization algorithm, the optimal sizing of components and the minimization of storage costs are achieved. The simulation results show that the system can reduce total costs by approximately 7.3% and storage costs by 10.3%, with a low storage cost of 0.276 USD/kWh.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Yi He, Su Guo, Jianxu Zhou, Jilei Ye, Jing Huang, Kun Zheng, Xinru Du
Summary: This paper proposes a wind-photovoltaic-battery-thermal energy storage hybrid power system and investigates its multi-objective planning-operation co-optimization. By introducing a novel coordinated operation strategy and a decision-making multi-objective evolutionary algorithm, the system achieves significant improvements in addressing the intermittency of renewable energy, enhancing economy, and ensuring reliability.
Article
Multidisciplinary Sciences
Hussein Abdellatif, Mujahid N. Syed, Md Ismail Hossain, Mohammad A. Abido
Summary: This paper examines an independent hybrid renewable energy system composed of photovoltaic power, wind turbines, storage, and diesel generators. It uses linear programming to optimize multiple objectives and includes factors such as household self-consumption and local renewable energy utilization in the optimization considerations.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Energy & Fuels
Eray Ercan, Elcin Kentel
Summary: The negative effects of fossil fuels on the environment and health are driving the shift towards renewable energy. Pumped storage hydropower, combined with renewable energy systems, is found to be the most efficient form of large-scale energy storage. In this study, a long short-term memory network is used to forecast electricity prices, and an optimization model is applied to maximize daily revenue for a wind-hydro hybrid system.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Guoliang Li, Benfeng Yuan, Min Ge, Guoping Xiao, Tao Li, Jian-Qiang Wang
Summary: This study focuses on the capacity configuration of a high-temperature reversible solid oxide cell (RSOC) system in a hybrid renewable energy (HRE) system. By developing a power-based model and capacity configuration strategy, along with utilizing an optimization program and PSO algorithm, the system cost, power redundancy, and power shortage were minimized. Results show that adjusting the energy storage system significantly reduced power redundancy and shortage in the hybrid energy system.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2022)
Article
Energy & Fuels
Hossam A. Gabbar, Md. Ibrahim Adham, Muhammad R. Abdussami
Summary: While actions to reduce GHG emissions from land-based transportation are ongoing, the issue of marine transportation emissions needs more attention. RESs play an important role in reducing emissions, but integration into marine ships is limited by various factors. Small scale nuclear reactors could be competitive alternatives to fossil fuel-based generators for emission-free marine transportation.
Article
Chemistry, Physical
An Ho, Kasra Mohammadi, Matthew Memmott, John Hedengren, Kody M. Powell
Summary: The proposed nuclear hybrid energy system shows promising results in meeting grid demand for 93% of the time, reducing nuclear reactor ramping cycles by 92.7%, and increasing the nuclear capacity factor. The system also has economic benefits, improves the flexibility of nuclear power plants, and reduces greenhouse gas emissions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Yubo Wang, Zhenhua Quan, Heran Jing, Lincheng Wang, Yaohua Zhao
Summary: The study proposed a new type of dual-source building energy supply system, utilizing heat pumps and energy storage technology for cascade energy utilization. Peak load shifting and energy cost reduction were achieved by storing energy at night, resulting in efficient operation and savings in operating costs.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Angel Xin Yee Mah, Wai Shin Ho, Mimi H. Hassim, Haslenda Hashim, Gabriel Hoh Teck Ling, Chin Siong Ho, Zarina Ab Muis
Summary: Renewable energy is essential for reducing carbon emissions, but energy storage is needed to address supply-demand imbalances. Optimizing microgrids with hybrid energy storage systems can be cost-effective, with the P-graph algorithm efficiently determining optimal solutions.
Article
Nuclear Science & Technology
M. Scott Greenwood, Benjamin R. Betzler, A. Lou Qualls, Junsoo Yoo, Cristian Rabiti
NUCLEAR TECHNOLOGY
(2020)
Article
Energy & Fuels
A. Epiney, C. Rabiti, P. Talbot, A. Alfonsi
Article
Energy & Fuels
Shannon M. Bragg-Sitton, Richard Boardman, Cristian Rabiti, James O'Brien
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2020)
Article
Energy & Fuels
Gurkan Kumbaroglu, Cansu Canaz, Jonathan Deason, Ekundayo Shittu
Article
Economics
Dor Hirsh Bar Gai, Ekundayo Shittu, Donna Attanasio, Carmen Weigelt, Saniya LeBlanc, Payman Dehghanian, Scott Sklar
Summary: This study examines the barriers and drivers to investment in community solar programs in the U.S., identifying key obstacles and motivations, as well as outlining categories of issues that need to be addressed to unlock the market potential for these programs.
Article
Engineering, Civil
Jiaorui Zhang, Yi-Chen Ethan Yang, Hongyi Li, Ekundayo Shittu
Summary: The study of the FEWE nexus should consider non-technical human factors, exploring how humans perceive and interact with the interconnections between food, energy, water, and environment. In the Columbia River basin between the US and Canada, consensus metrics, adaptive management, and local resident support were identified as key factors for successful policy implementation. The combination of workshop insights and survey results will contribute to the development of a more realistic modeling framework.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2021)
Article
Economics
Ekundayo Shittu, Carmen Weigelt
Summary: Several policies aim to promote the use of renewable energy by incumbent utilities, but the limited accessibility, especially among low- and middle-income consumers, hinders the scale of adoption. Our study examines the efforts of utilities to provide access to clean energy for consumers, particularly for low- and middle-income households. Factors such as ownership models, income disparity, and regulatory regime play a significant role in shaping the accessibility of solar initiatives for these households.
Article
Business
Farzaneh Pourahmadi, Seyed Hamid Hosseini, Payman Dehghanian, Ekundayo Shittu, Mahmud Fotuhi-Firuzabad
Summary: This article addresses operational flexibility concerns in smart grids and proposes a new framework based on robust unit commitment and adjustable penetration to assess power grid flexibility capacity.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Energy & Fuels
Ramon Yoshiura, Alexander Duenas, Aaron Epiney
Summary: The purpose of this study was to develop a method to convert input signals from one facility to another while reflecting the geometric and environmental settings. The study successfully scaled and projected data from a thermocline thermal storage system in the laboratory, demonstrating the ability to accelerate signals without altering the stored energy.
Article
Operations Research & Management Science
Johan Rene van Dorp, Ekundayo Shittu, Cristian Rabiti
Summary: Complex computational engineering uncertainty analyses are increasingly common. When the input parameters of engineering models are uncertain, the distribution of output metric uncertainty is unknown. The nonparametric statistical procedure known as Wilks' method has renewed interest in nuclear and chemical safety engineering. However, the current application of Wilks' method relies on arbitrary rank selection, leading to unreasonable sample size recommendations. Therefore, a modified Wilks' method is proposed, which resolves the issue of arbitrary rank selection using two quantiles to determine the parameters of the order statistics' beta distribution.
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
(2023)
Article
Business
Olawale Ogunrinde, Ekundayo Shittu, Kanwalroop Kathy Dhanda
Summary: This article investigates the relationship between firms' carbon intensity, carbon management practices, and their financial performance. The results show that there is a U-shaped relationship between firms' environmental performance outcome dimension and their financial performance in the high-carbon intensive sector, while the converse is the case in the low-carbon intensive sector.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Energy & Fuels
Ramon Yoshiura, Sarah Creasman, Aaron Epiney
Summary: The objective of this study is to demonstrate and validate the preliminary scaling analysis of the Dynamic Energy Transport and Integration Laboratory (DETAIL) using the Modelica language system-code Dymola. The analysis involves scaling the integral system between thermal-storage and hydrogen-electrolysis systems. By applying dynamical system scaling (DSS) to the governing laws and closure relations, a system of scaled equations is constructed. The performance of the preliminary scaling analysis is evaluated and scaling distortions are investigated.
Article
Business
Weijie Pan, Ekundayo Shittu
Summary: This study focuses on constructing resilience-oriented networked microgrid systems and uncovers the interactions between energy technologies, policies, and economics concerning power systems resilience. The results show that low-carbon emissions policies increase the financial costs associated with resilience planning and operations, but still achieve a certain level of emissions reduction.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Dor Hirsh Bar Gai, Ekundayo Shittu
Summary: The study presents a methodology to evaluate electricity generating portfolios in the presence of a carbon tax, assesses the adequacy metrics for technology substitutions and climate change impacts, and offers specific guidance for energy policy making.
Article
Health Care Sciences & Services
Ekundayo Shittu, Funmilayo Adewumi, Nkemdilim Ene, Somto Chloe Keluo-Udeke, Chizoba Wonodi
Summary: This study examines the impact of various socioeconomic indicators on health-seeking NPI behaviors, finding that women are more likely to engage in these behaviors. Additionally, the provision of palliatives and access to family supplies significantly enhance community mitigation efforts.
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.