Article
Energy & Fuels
Mehrdad Gholami, Omkolsoom Shahryari, Navid Rezaei, Hassan Bevrani
Summary: This paper presents a method to estimate the required battery capacity in the design phase of a wind farm based on wind speed data and turbines position. The method considers wake effect, turbulence, and spatial smoothing to estimate the short-term fluctuation of wind farm power. It also presents a method to estimate the optimum battery capacity based on statistical characteristics of wind farm power. Additionally, a new model is presented to estimate the battery lifetime in the case of non-uniform charge/discharge cycles. The numerical results show the effectiveness of the proposed approach in determining the optimum battery capacity.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Yuqing Yang, Stephen Bremner, Chris Menictas, Merlinde Kay
Summary: This study introduces a novel approach for battery sizing in an HRPP based on forecasting error characteristics, which reduces the battery capacity requirements effectively, demonstrating a certain degree of foresight and operability.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Mayur P. Bonkile, Venkatasailanathan Ramadesigan
Summary: This paper studies battery degradation in standalone PV-wind battery hybrid power systems and finds that increasing the size of the battery energy storage system can extend its lifespan and reduce energy generation costs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Sihem Amara, Sana Toumi, Chokri Ben Salah, Abdelaziz Salah Saidi
Summary: This paper presents an improved techno-economic optimal sizing of a hybrid off-grid micro grid system, which optimizes system reliability and cost through iterative algorithm and energy management. It is found that the battery capacity is insufficient to cover load demand when considering autonomy days, leading to the use of a diesel generator as a secondary power supply to overcome this issue.
Article
Energy & Fuels
Ning Zhang, Nien-Che Yang, Jian-Hong Liu
Summary: A multi-objective scheduling model for a hybrid microgrid is proposed in this study to optimize cost and power supply reliability, with optimal sizing of PV panels and battery banks obtained using multi-objective particle swarm optimization while considering battery bank lifetime. The practicality of the scheduling model is verified through four examples.
Article
Thermodynamics
Ali Haseltalab, Lindert van Biert, Harsh Sapra, Benny Mestemaker, Rudy R. Negenborn
Summary: The shipping industry is under increasing pressure to reduce its environmental impact, leading to the consideration of Solid Oxide Fuel Cells (SOFC) as a novel power source. New component sizing, energy and power management approaches have been proposed to enable the use of SOFCs as the main onboard power source, resulting in significant CO2 reduction.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Ibrahim M. Ibrahim, Almoataz Y. Abdelaziz, Hassan Haes Alhelou, Walid A. Omran
Summary: Battery storage units are utilized for multi-function operation in microgrids, including supply/demand matching and energy arbitrage, to maximize benefits. The optimization of the microgrid system, considering wind turbines, photovoltaic systems, diesel units, aims at minimizing costs, harmful gas emissions, and the power difference between renewable energy generation and demand. The problem is formulated as a constrained nonlinear optimization problem and solved using Moth-Flame Optimization (MFO) and Hybrid Firefly and Particle Swarm Optimization (HFPSO) algorithms. Uncertainties in parameters such as wind speed and solar irradiance are considered using Latin Hypercube Sampling (LHS) method. Different case studies are presented to validate the proposed methodology and compare the effectiveness of MFO and HFPSO algorithms in achieving the optimal solution. The optimization problem is implemented and solved using MATLAB software.
Article
Energy & Fuels
Alexander Epp, Robert Wendland, Jan Behrendt, Robin Gerlach, Dirk Uwe Sauer
Summary: This paper presents a fully parametrized high voltage battery optimization tool based on coupled simulation models for the main components of the battery system. The tool can optimize each component individually and perform an overall cost or weight optimization, taking into account the interdependencies between the components. The optimization results illustrate the cause-effect principles between multiple battery system components in detail and analyze the integration repercussions for different battery geometries and formats.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Qingsong Ji, Huan He, Scott Kennedy, Jingwen Wang, Zixuan Peng, Zhe Xu, Yanxia Zhang
Summary: The study focuses on using wind energy as an alternative source to reduce energy consumption and achieve the greenhouse gas net-zero emissions targets set by the Climate Change (Scotland) Act. A wind turbine-driven heat pump system is designed to provide heating for detached houses, and performance indicators are proposed to evaluate the system. Results show that wind turbines can meet energy requirements and reduce CO2 emissions, indicating the environmental benefits of the system.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Dalila Fares, Mohamed Fathi, Saad Mekhilef
Summary: This study evaluates the performance of ten metaheuristics optimization techniques in solving the sizing problem for a stand-alone hybrid renewable energy system, with flower pollination algorithm and simulated annealing algorithm showing high robustness and accuracy. Meanwhile, brainstorm optimization in objective space algorithm performs the best in terms of execution time.
Article
Engineering, Electrical & Electronic
Shubhrajit Bhattacharjee, Ramteen Sioshansi, Hamidreza Zareipour
Summary: This study examines the behavior of a strategic firm investing in and operating wind, energy storage, and transmission. Using a bi-level stochastic optimization model, the firm's capacities and offering strategies are determined to maximize expected profits in a centrally dispatched electricity market. The model, applied to a case study based on Alberta's electricity market, utilizes multi-cut Benders's decomposition to solve the resulting large-scale optimization problem.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Marine
Sana Toumi, Yassine Amirat, Elhoussin Elbouchikhi, Zhibin Zhou, Mohamed Benbouzid
Summary: This article examines the techno-economic optimal sizing of a TST-battery system. An iterative approach is used to determine the optimal size of the system, including the TST power and battery capacity. The results confirm the efficiency of the proposed approach in sizing the system using real-world tidal velocity data.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Muhammad Asad, Sergio Martinez, Jose Angel Sanchez-Fernandez
Summary: In recent decades, renewable energy sources, such as wind power, have significantly increased their presence in the global energy mix, playing a crucial role in reducing fossil fuel usage and environmental hazards, especially in remote areas where diesel power plants were the main source of energy. However, hybrid power systems face challenges like frequency deviations. This paper presents a methodology to tune diesel engine governors using the Student Psychology-Based Algorithm, improving controller performance metrics and providing better system response, as demonstrated in the simulation of a wind-diesel power system on San Cristobal Island, Ecuador.
Article
Energy & Fuels
Spyridon Chapaloglou, Damiano Varagnolo, Francesco Marra, Elisabetta Tedeschi
Summary: This study addresses the problem of generating uncertainty scenarios for energy storage sizing in isolated power systems. It proposes a data-driven scenarios selection strategy that learns the distribution of uncertainties and generates an optimal set of scenarios, mitigating computational issues and ensuring optimal solutions.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Mahmoud F. Elmorshedy, M. R. Elkadeem, Kotb M. Kotb, Ibrahim B. M. Taha, Domenico Mazzeo
Summary: The rise in global electricity demand and reliance on fossil fuels have led to increased greenhouse gas emissions, prompting the transition to 100% renewable energy. However, challenges such as fluctuating weather resources and high investment costs hinder renewable energy implementation. The integration of hybrid renewable energy systems with energy storage as a solution to these challenges is crucial for sustainable and reliable energy access.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Editorial Material
Green & Sustainable Science & Technology
Santanu Bandyopadhyay
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2020)
Article
Green & Sustainable Science & Technology
Manish Pyakurel, Kalpesh Nawandar, Venkatasailanathan Ramadesigan, Santanu Bandyopadhyay
Summary: The study analyzed the expansion capacity and growth potential of six different power generation technologies, focusing on the impact of energy payback time and reinvestment factor on electricity development. The results showed a significant difference in growth potential between solar PV and gas power generation technologies. The relationships required to achieve a self-sustainable path and optimal reinvestment time were established.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Editorial Material
Green & Sustainable Science & Technology
Surendra Singh Kachhwaha, Nishith B. Desai, Santanu Bandyopadhyay
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Green & Sustainable Science & Technology
Arnab Jana, Ahana Sarkar, Neenu Thomas, G. S. Krishna Priya, Santanu Bandyopadhyay, Tracey Crosbie, Dana Abi Ghanem, Gillian Waller, Gobind G. Pillai, Dorothy Newbury-Birch
Summary: The water sector in India has experienced multiple institutional and structural reforms over the past decades to address water scarcity challenges, but the policies have been partially effective due to a lack of need-specific institutional framework. Furthermore, sustainable aspects like water use efficiency through water metering have been overlooked. A new approach is needed, including a discrete water metering policy, equitable tariff structuring, and an institutional metering framework to address the water crisis effectively.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Green & Sustainable Science & Technology
Sheetal Jain, Santanu Bandyopadhyay
Summary: This study introduces a method for optimizing resource conservation problems by introducing common resources, which can significantly reduce the operational costs of the overall problem. Utilizing Pinch Analysis principles and the concept of prioritized cost to guide resource allocation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Shweta Kamat, Santanu Bandyopadhyay
Summary: To address climate change issues and achieve sustainable industrial developments, process industries aim to conserve water and energy. Various methods have been proposed in the literature to identify optimal solutions, but all potentially optimal solutions should be explored to consider constraints and uncertainties.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Shweta Kamat, Santanu Bandyopadhyay
Summary: A hybrid algorithm is developed to optimize water consumption and regeneration throughput by minimizing total annualized costs. The algorithm establishes the interactions between water and regeneration through a non-linear programming model, targeting heat exchanger requirements for overall thermal integration through pinch analysis. The method combines mathematical programming for handling multiple contaminants with pinch analysis for reducing energy requirements and providing physical insights.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2021)
Editorial Material
Green & Sustainable Science & Technology
Santanu Bandyopadhyay
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Computer Science, Interdisciplinary Applications
Hon Huin Chin, Petar Sabev Varbanov, Jiri Rijaromir Klemesa, Santanu Bandyopadhyay
Summary: The study focuses on implementing water recycling in an eco-industrial park to minimize costs, resource usage, or pollutant discharge. By using cooperative game approach, the government can provide incentives or subsidies to encourage plant participation in symbiosis.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Thermodynamics
Shweta Kamat, Santanu Bandyopadhyay
Summary: This study combines the benefits of Pinch Analysis with numerical optimization to develop an algorithm for minimizing total annualized costs. The proposed algorithm effectively addresses water and thermal energy requirements and achieves good results.
Article
Green & Sustainable Science & Technology
Anindita Roy, Santanu Bandyopadhyay
Summary: Economic appraisal is crucial for firms to identify and quantify investment costs and benefits, and helps industries choose the ownership period to achieve economic sustainability.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2022)
Article
Energy & Fuels
Anindita Roy, Rajkumar Bhimgonda Patil, Rajarshi Sen
Summary: Three-wheeled e-rickshaws driven by lead-acid batteries are widely used in Asian countries due to their low cost and durability. This paper proposes a new fast charging procedure with periodic equalizing for these batteries. Experimental results show that the proposed method achieves a low temperature rise and high coulombic efficiency, extending the battery life to about twice the current life. The proposed fast charger with periodic equalizing is a promising and sustainable option for charging lead-acid batteries.
JOURNAL OF ENERGY STORAGE
(2022)
Proceedings Paper
Engineering, Multidisciplinary
Swatisweta Parida, Anindita Roy, Pankaj Anjankar
TECHNO-SOCIETAL 2018: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SOCIETAL APPLICATIONS - VOL 1
(2020)
Article
Green & Sustainable Science & Technology
Vaibhav Kumar, Santanu Bandhyopadhyay, Krithi Ramamritham, Arnab Jana
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2020)
Article
Green & Sustainable Science & Technology
Sheetal Jain, Shreya Gupta, Neenu Thomas, Santanu Bandyopadhyay
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2020)
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.
