Article
Energy & Fuels
Christoph Luerssen, Hadrien Verbois, Oktoviano Gandhi, Thomas Reindl, Chandra Sekhar, David Cheong
Summary: This paper investigates the sensitivity of parameters affecting the levelised cost of storage for Lithium ion battery storage and chilled water storage in on-grid PV-powered cooling applications. The results show that chilled water storage has lower LCOS than battery storage, but battery storage can achieve higher self-sufficiency. The dominant parameter affecting the LCOS is the storage lifetime for the battery, with future trends suggesting that battery storage is expected to become more competitive due to technological advancements and favourable price developments.
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
Energy & Fuels
Anisa Emrani, Asmae Berrada, Ameur Arechkik, Mohamed Bakhouya
Summary: This study investigates the optimal design and operation of a new energy storage system called gravity energy storage (GES) integrated with large-scale renewable energy plants. The results show that the hybrid PV-wind-GES system is the best option in terms of reliability and economic benefits.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Pietari Puranen, Antti Kosonen, Jero Ahola
Summary: This paper investigates the technical feasibility of an off-grid energy system with short-term battery storage and seasonal hydrogen storage based on data from a residential house in Finland. The study finds that high peak electric power demand during low PV power generation times is the most significant factor affecting system dimensioning, with a battery storage capacity demand of only about 20 kWh. The study concludes that feasible solutions are available for an off-grid operation with a fuel cell and electrolyzer of certain nominal powers.
Article
Energy & Fuels
Harpreet Sharma, Sachin Mishra, Javed Dhillon, Naveen Kumar Sharma, Mohit Bajaj, Rizwan Tariq, Ateeq Ur Rehman, Muhammad Shafiq, Habib Hamam
Summary: This paper proposes a modified PSO-based multi-objective optimization for the scheduling of Virtual Power Plants (VPPs) in distribution networks. The optimized results show significant improvements in operating cost, peak demand, and reliability.
Article
Economics
Alejandro Pena-Bello, Robin Junod, Christophe Ballif, Nicolas Wyrsch
Summary: This study investigates the impact of five electricity tariffs on distributed photovoltaics and finds that capacity-based tariffs can promote the adoption of PV and storage while allowing distribution system operators to recover grid costs.
Article
Energy & Fuels
Itxaso Aranzabal, Julen Gomez-Cornejo, Iraide Lopez, Ander Zubiria, Javier Mazon, Ane Feijoo-Arostegui, Haizea Gaztanaga
Summary: Most current prosumer-energy-management strategies aim to maximize economic optimization through self-consumption. However, there is a lack of energy management strategies that address the various interaction possibilities among community-clustered solar plus battery prosumers. This study proposes an optimal energy management strategy that includes participation in ancillary service markets and community-level energy management, with the goal of reducing overall costs for individual prosumers. The results show a reduction in the levelized cost of energy for all community members, with the most profitable scenario still being the use of only solar PV for all prosumers.
Article
Energy & Fuels
A. Gonzalez-Moreno, J. Marcos, I. de la Parra, L. Marroyo
Summary: This work presents a novel control method for multi-megawatt photovoltaic (PV) plants that can regulate each plant inverter and the battery system to mitigate PV power fluctuations. The proposed method allows for different PV ramp-rate control strategies based on battery usage and inverter limitation. It also proposes a new control strategy that reduces curtailment losses and addresses the asymmetry in battery charging and discharging capability.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Angelos I. Nousdilis, Georgios C. Kryonidis, Theofilos A. Papadopoulos
Summary: The intermittent and volatile nature of renewable energy sources has created challenges for reliable grid operation. Power smoothing techniques using battery energy storage systems have been proposed to reduce power fluctuations, but their comparative evaluation and impact on battery life have not been properly addressed. This article presents a systematic evaluation of well-established power smoothing techniques and investigates their effectiveness on photovoltaic output using different signal metrics. It also analyzes the impact of power smoothing on the lifetime of lithium-ion batteries, highlighting the main parameters that influence capacity degradation.
IEEE JOURNAL OF PHOTOVOLTAICS
(2023)
Article
Chemistry, Physical
Tareq Salameh, Mohammad Ali Abdelkareem, A. G. Olabi, Enas Taha Sayed, Monadhil Al-Chaderchi, Hegazy Rezk
Summary: This paper presents the analysis and performance of an integrated standalone hybrid solar PV, fuel cell, and diesel generator power system with battery energy storage system or supercapacitor energy storage system in Khorfakkan city. The simulation results show that using supercapacitor energy storage system will help improve the performance of the hybrid energy system in terms of Levelized Cost of Energy (LCOE) and greenhouse gas (GHG) emissions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
Dongliang Xiao, Shengsheng Deng, Haixiang Zhang, Weijun Cai, Yirui Li, Haoyong Chen
Summary: To promote the integration of renewable energy, distributed renewable energy sources have been rapidly installed worldwide. Prosumers and prosumer aggregators play important roles in smart grids. To optimize the economic benefits of prosumer aggregators, a stochastic model is proposed for generating day-ahead energy and operating reserve scheduling strategies. Potential risks faced by the prosumer aggregator are managed using conditional value at risk. Case studies using data from the Southwest Power Pool demonstrate the effectiveness of the proposed model in generating optimal energy and operating reserve bids. Analysis shows that higher reserve prices and larger battery storage capacity lead to higher expected profit and lower risks for the prosumer aggregator.
Review
Energy & Fuels
Mustafa Hasan, H. Serra Altinoluk
Summary: Solar photovoltaic (PV) microgrids have become popular for stabilizing renewable energy generation and meeting emergency energy needs. This paper presents the latest advancements in solar PV integrated battery energy storage systems, including system overview, survey methodology, PV system classification, and discussions on energy efficiency, failure probability, and cost.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Thermodynamics
Joao Graca Gomes, Juan Jiang, Cheng Tung Chong, Joao Telhada, Xu Zhang, Sergio Sammarchi, Shuyang Wang, Yu Lin, Jialong Li
Summary: The coupling of electrical batteries with variable renewable power generation can increase the production flexibility and revenue of power plant operators. This study focuses on developing an optimization model to manage the operational revenue of a renewable power unit comprising a wind farm, solar photovoltaic (PV) power plant, and electrical battery. The study analyzes various scenarios and case studies to assess the value of storage for revenue maximization.
Article
Energy & Fuels
Kasiprasad Mannepalli, K. Vinoth, Saumendra Kumar Mohapatra, R. Rahul, Durga Prasad Gangodkar, Abhishek Madduri, M. Ravichandran, Ravishankar Sathyamurthy, V. Mohanavel
Summary: To reduce carbon emissions, a greater reliance on renewable energy sources such as solar power is necessary. Battery energy storage systems (BESSs) have emerged as a solution for integrating solar power systems and storing excess electricity. However, the current deployment of BESSs has limitations that need to be addressed, such as network topology and capacity pooling considerations.
Article
Energy & Fuels
Ramesh Gugulothu, Bhookya Nagu, Deepak Pullaguram, B. Chitti Babu
Summary: Energy management strategy (EMS) is proposed to optimize the flow rate, discharge, and charge cycles of battery energy storage systems (BESS) by coordinating supercapacitors (SC) and photovoltaic systems (PV). The proposed EMS reduces the impact of high charge/discharge currents on the BESS and extends its life by using SC to handle transient energy mismatches. Simulation and hardware validation show improved performance of BESS and SC with the proposed EMS compared to conventional charge and discharge methods for hybrid energy storage systems (HESS). Economic analysis demonstrates the cost-effectiveness and economy of standalone PV and HESS systems with the proposed EMS over PV and BESS systems beyond 6 years of operation.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Alejandro Ibanez-Rioja, Pietari Puranen, Lauri Jaervinen, Antti Kosonen, Vesa Ruuskanen, Jero Ahola, Joonas Koponen
Summary: This paper investigates the impact of component capacities on the viability and reliability of an off-grid water electrolyzer hydrogen production system. It proposes a novel method that simultaneously optimizes the component capacities and control of the system to minimize the cost of green hydrogen production. The results can be scaled by changing the nominal power of the electrolyzer. Additionally, a sensitivity analysis reveals that the price of the water electrolyzer has the greatest influence on the production cost of green hydrogen.
Article
Chemistry, Physical
Georgios Sakas, Alejandro Ibanez-Rioja, Vesa Ruuskanen, Antti Kosonen, Jero Ahola, Olli Bergmann
Summary: This paper proposes a parameter adjustable dynamic mass and energy balance simulation model for an industrial alkaline water electrolyzer plant. The model enables cost and energy efficiency optimization and is based on mathematical models and white box coding. The accuracy of the model was verified using an analogous industrial plant, and it was found to be suitable for use in future plant optimization studies.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Altti Merilainen, Pietari Puranen, Antti Kosonen, Jero Ahola
Summary: The profitability of a rooftop solar PV system depends on factors such as electricity price, building load profile, and module orientation. This study compares single-azimuth and dual-azimuth systems and suggests using a single-azimuth system when surplus electricity is compensated, while orienting the modules east-west when no compensation is given.
Article
Chemistry, Physical
Lauri Jarvinen, Pietari Puranen, Antti Kosonen, Vesa Ruuskanen, Jero Ahola, Pertti Kauranen, Michael Hehemann
Summary: This paper presents an open-source MATLAB toolbox for water electrolyzer polarisation curve parametrization and modelling, which was verified using measured data. The tool demonstrates its capability to work with a wide variety of use cases and provides an automated method for modelling and parametrization of electrolyzer polarisation curves.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Automation & Control Systems
Konstantin Vostrov, Juha Pyrhonen, Markku Niemela, Pia Lindh, Jero Ahola
Summary: This article discusses the problem of motor bearing currents induced by power electronic converters and presents a countermeasure. By applying slot-embedded grounded electrodes in the end-winding area of the motor, the voltage between the shaft and ground caused by the currents can be reduced.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Altti Merilainen, Jan-Henri Montonen, Jeremias Hopsu, Antti Kosonen, Tuomo Lindh, Jero Ahola
Summary: This paper investigates the conversion of a Nordic oil-heated townhouse into a carbon-neutral building by implementing energy efficiency improvements and an off-grid system with solar photovoltaics, wind power, and battery and hydrogen energy storage systems. The study uses MATLAB and Microsoft Excel to determine the dimensioning of a heat-pump-based heating system and an off-grid electrical system, based on life cycle costs (LCC). The results show that energy efficiency improvements and waste heat recovery from the hydrogen energy storage system have a positive impact on the dimensioning of the off-grid system, reducing the LCC by up to 2 million euros. Wind power is found to be highly relevant in Nordic conditions, reducing the LCC by 32%.
Article
Chemistry, Multidisciplinary
Emma Laasonen, Miika Sorvali, Vesa Ruuskanen, Markku Niemela, Tuomas Koiranen, Jero Ahola, Jyrki M. Makela, Tero Joronen
Summary: High-temperature molten salt electrolysis is suitable for the production of carbon morphologies. In this study, CO2 was electrochemically reduced to solid carbon using molten lithium carbonate electrolysis. Different cathode materials were used, and the carbon products were analyzed using various techniques. The results showed that the morphology of the carbonaceous products varied with the electrode material, with nickel cathodes producing spherical carbon and steel-based cathodes producing tubular structures. Iron was found to promote carbon nanotube growth and the presence of impurities influenced the variety of carbon morphologies observed.
JOURNAL OF CO2 UTILIZATION
(2023)
Article
Energy & Fuels
Alejandro Ibanez-Rioja, Lauri Jarvinen, Pietari Puranen, Antti Kosonen, Vesa Ruuskanen, Katja Hynynen, Jero Ahola, Pertti Kauranen
Summary: This paper investigates the concept of an off-grid alkaline water electrolyzer plant integrated with solar photovoltaic (PV), wind power, and a battery energy storage system (BESS). The operation of the plant is simulated over 30 years based on measured power generation data. The study finds that wind power is the most economical solution for the off-grid alkaline system until the installation years 2035-2040.
Article
Construction & Building Technology
Altti Merilainen, Jan-Henri Montonen, Antti Kosonen, Tuomo Lindh, Jero Ahola
Summary: This study investigates the conversion of an oil-heated townhouse into a carbon-neutral one and analyzes five different energy efficiency alternatives. It aims to cover the electricity demand of these alternatives cost-effectively using solar photovoltaics and a battery energy storage system. The results show that a partially dimensioned ground source heat pump along with a solar PV system provides the lowest life cycle cost, and the battery energy storage system becomes profitable at 2022 electricity prices.
ENERGY AND BUILDINGS
(2023)
Article
Chemistry, Physical
Galdi Hysa, Vesa Ruuskanen, Antti Kosonen, Markku Niemela, Lassi Aarniovuori, Damien Guilbert, Jero Ahola
Summary: The interest in green hydrogen has been increasing in recent years for its applications in energy storage and various industrial sectors. This paper focuses on studying the operation at higher voltage than typical values to determine its potential benefits for cost reduction and energy efficiency in power converters for water electrolyzer systems. Three different rectifier topologies are analyzed and compared in terms of energy efficiency and cost using simulation models in Matlab/Simulink environment.
JOURNAL OF POWER SOURCES
(2023)
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.
