Article
Energy & Fuels
Mohamed Hany Abokersh, Manel Valles, Kangkana Saikia, Luisa F. Cabeza, Dieter Boer
Summary: The study evaluated the techno-economic benefits of different control strategies for a heat pump integrated into a solar assisted district heating system. The system was optimized using a genetic algorithm and applied to a residential neighborhood in Madrid. Results showed significant impact of heat pump control on techno-economic benefits and improved seasonal storage efficiency up to 90%.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Abdulrahman A. Alrobaian
Summary: The use of renewable energy is becoming increasingly important for human societies. Effective energy storage solutions are crucial for increasing the share of renewable energy and reducing costs in the domestic and industrial sectors. This paper presents a simulation study on the size and design of heat and cold storage systems in a solar-assisted thermally driven cooling supply system. The results show that a parallel arrangement of double solar heat storage and double cold storage units has the best techno-economic-environmental performance, with a potential cost reduction of at least 3% compared to typical designs.
Article
Green & Sustainable Science & Technology
Juan Arteaga, Mostafa Farrokhabadi, Nima Amjady, Hamidreza Zareipour
Summary: In this paper, an optimal sizing model for a solar plus energy storage (PV-ESS) system for behind the meter applications is proposed. A dynamic optimization algorithm is presented to maximize the net worth of a project, considering decreasing technology costs in the future. The proposed model efficiently solves the optimization problem using parallel computation, and simulation results demonstrate its ability to minimize the total project cost.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Alex Ximenes Naves, Laureano Jimenez Esteller, Assed Naked Haddad, Dieter Boer
Summary: The study focuses on the cooling systems as one of the most energy-consuming systems in residential buildings located in tropical climates, exploring how the integration of thermal energy storage and photovoltaic systems can lead to an annual net zero energy building configuration to enhance energy efficiency. By using an Energy Efficiency Analysis Framework, simulations were conducted to identify the most economical configurations within a safe range of operability, considering factors such as economics and life cycle perspective.
Article
Chemistry, Physical
Gamze Soyturk, Onder Kizilkan, Mehmet Akif Ezan, C. Ozgur Colpan
Summary: This paper presents the design and modeling of a solar and hydrogen energy-based integrated energy system. The system consists of photovoltaic cells, battery banks, an electrolyzer, a hydrogen compressor, and a high-pressure hydrogen tank. Mathematical modeling and an energy management strategy were used to investigate the dynamic behavior of the system. The results of the parametric study show that the hydrogen production is higher in summer and lower in winter. An economic analysis of the hybrid system was also conducted.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Xingping Shi, Jintao Song, Qing He, Yixue Liu, Hailun Fu, Shuangshuang Cui
Summary: A novel liquefied air energy storage (LAES) system with coupled Rankine cycle and seawater desalination is proposed to improve its round-trip efficiency by energy cascade utilization. The thermodynamic model of the coupled system is established and its technical advantages are investigated, including system energy efficiency, exergy efficiency, round-trip efficiency, and desalination. The results show significant improvement in energy efficiency, exergy efficiency, and round-trip efficiency, as well as the capability to produce a large amount of fresh water.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Armin Ebrahimi, Bahram Ghorbani, Fatemeh Skandarzadeh, Masoud Ziabasharhagh
Summary: This study utilizes new energy storage systems for peak shaving and load leveling, developing a cogeneration integrated structure of power and cooling using liquefied natural gas regasification and solar collectors. The system demonstrates efficient power generation and cooling during peak hours, with satisfactory performance indicators, particularly in terms of exergy distribution and losses in heat exchangers.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Abdullah Alamri, Maad Alowaifeer, A. P. Sakis Meliopoulos
Summary: This paper presents a sizing model and reliability assessment framework for energy storage systems (ESS) in electric energy systems with high renewable energy penetration. The model considers variable generation (VG) forced outage rates, reserve and demand requirements, and conventional generation (CG) operational constraints. The correlation coefficients among wind speed, solar radiation, and demand are computed using the least square estimation method. Probabilistic models for composite demand are integrated into the ESS sizing model, and the optimal sizes and charging/discharging schedules are computed. Reliability is quantified using the probabilistic production costing method. A case study is presented to compare the error when treating one VG as an independent variable.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Thermodynamics
Sina Makhdoomi, Alireza Askarzadeh
Summary: The design of renewable energy-based hybrid systems poses a challenge, particularly for electrification in off-grid regions. This paper focuses on optimizing the size of hybrid energy systems using different tracking systems. Results show that employing pumped hydro storage (PHS) decreases the total net present cost (TNPC) compared to fuel cells (FC), and using a solar tracker in certain systems may not be cost-effective.
Article
Energy & Fuels
Sakshi Bansal, Satadru Dey, Munmun Khanra
Summary: The study investigates the impact of driving cycle uncertainties on the optimal sizing of Energy Storage Systems in Electric Vehicles, proposing a machine-learning based framework for data-driven approach to ESS sizing.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Simone Venettacci, Raffaello Cozzolino, Gennaro Salvatore Ponticelli, Stefano Guarino
Summary: This study compares an innovative thermal energy storage system with a traditional water-based system in terms of economic and environmental aspects in Italy. The innovative system has lower natural gas consumption and environmental impact, but higher cost compared to the traditional system.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Thermodynamics
Tianye Liu, Zhen Yang, Yuanyuan Duan
Summary: Reasonable configuration of energy storage equipment can solve the problem of mismatch between load demand and renewable power output. Energy storage devices can be classified into short-duration and long-duration storage based on the operation timescale. Cooperative energy storage that combines short and long-duration storage is a promising trend due to its complementary advantages. This study focuses on the systems of photovoltaics and wind farms combined with batteries, thermal energy storage (TES), and hydrogen energy storage (HS). Optimal design parameters are obtained through multi-objective optimization with the goal of reducing the levelized cost of energy and the loss of power supply probability. The techno-economic performance of different short and long-term cooperative energy storage systems is compared, and the impact of rule-based strategies on system performance is investigated. Results show that the system with batteries and TES is economically competitive, and the system with batteries and HS has a lower potential energy waste probability under extremely high power-supply reliability. The recommended discharging priority for the system with batteries and TES is TES first, followed by batteries, to completely achieve power supply reliability.
Article
Green & Sustainable Science & Technology
Pietro Lubello, Francesco Papi, Alessandro Bianchini, Carlo Carcasci
Summary: The research shows that using aging models for analysis of residential energy systems can better predict their economic viability and avoid incorrect predictions. When using aging algorithms, the breakeven price for introducing batteries into residential energy systems is lower, and higher optimal capacities are obtained for lower battery prices.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Shanshan Zhang, Shaobing Yang, Qiujiang Liu, Bin Hu, Junting Zhang, Josep Guerrero
Summary: This paper explores the technical and economic feasibility of integrating ESS and RES in the flexible traction power supply system (FTPSS). A battery degradation model suitable for frequent charging and discharging conditions is derived. An operational-sizing co-optimization framework is developed for the ESS in the FTPSS, considering degradation costs varying with sizes and energy throughput. Comparative cases show that the proposed approach achieves approximately 10% higher economic benefits than existing bi-level sizing strategies for FTPSS.
IET RENEWABLE POWER GENERATION
(2023)
Article
Thermodynamics
Rong Zeng, Xianglin Tang, Yan Deng, Xiaofeng Zhang, Hongqiang Li, Wei Yin, Guoqiang Zhang
Summary: This paper presents a novel solar energy system with hydrogen energy storage and alkaline fuel cell. Through comprehensive evaluation, it is found that the system performs well in terms of life cycle cost, electricity coverage ratio, carbon dioxide emission, and levelized cost of energy.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Construction & Building Technology
Marshal Maskarenj, Rangan Banerjee, Prakash C. Ghosh
BUILDING AND ENVIRONMENT
(2018)
Article
Construction & Building Technology
Himanshu Garg, Brijesh Pandey, Sandip K. Saha, Suneet Singh, Rangan Banerjee
ENERGY AND BUILDINGS
(2018)
Article
Construction & Building Technology
Marshal Maskarenj, Gaurav Chawla, Rangan Banerjee, Prakash C. Ghosh
BUILDING AND ENVIRONMENT
(2018)
Article
Green & Sustainable Science & Technology
Amit Kumar Singh Parihar, Virendra Sethi, Rangan Banerjee
Article
Thermodynamics
Tejal Kanitkar, Rangan Banerjee, T. Jayaraman
Article
Engineering, Environmental
Dharik S. Mallapragada, Indraneel Naik, Karthik Ganesan, Rangan Banerjee, Ian J. Laurenzi
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2019)
Article
Energy & Fuels
Deepak Yadav, Rangan Banerjee
Article
Thermodynamics
Pankaj Kumar, Rangan Banerjee, Trupti Mishra
Article
Energy & Fuels
Ammu Susanna Jacob, Rangan Banerjee, Prakash C. Ghosh
JOURNAL OF ENERGY STORAGE
(2020)
Article
Green & Sustainable Science & Technology
Experience I. Nduagu, Deepak Yadav, Nishant Bhardwaj, Sabarish Elango, Tirtha Biswas, Rangan Banerjee, Srinivasan Rajagopalan
Summary: This study conducted a comprehensive life cycle assessment of different technological pathways for Direct Reduced Iron (DRI) production in India, and found that the emissions associated with these processes vary.
JOURNAL OF CLEANER PRODUCTION
(2022)
Proceedings Paper
Energy & Fuels
Ammu Susanna Jacob
Summary: This paper analyses various configurations of rooftop solar-based electric vehicle charging stations in India. The results show that an adequate size of rooftop photovoltaic can reduce the life-cycle cost of the system, while adding a small battery storage unit increases the cost. The study provides insights for developers to make informed decisions for promoting green mobility.
APPEEC 2021: 2021 13TH IEEE PES ASIA PACIFIC POWER & ENERGY ENGINEERING CONFERENCE (APPEEC)
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
Jay Dhariwal, Rangan Banerjee
MATERIALS TODAY-PROCEEDINGS
(2018)
Article
Energy & Fuels
Bhaskar Rahul Nandi, Santanu Bandyopadhyay, Rangan Banerjee
JOURNAL OF ENERGY STORAGE
(2018)
Article
Green & Sustainable Science & Technology
Jani Das, Ajit Paul Abraham, Prakash C. Ghosh, Rangan Banerjee
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2018)
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.