Article
Economics
Thomas Mercier, Mathieu Olivier, Emmanuel De Jaeger
Summary: This paper examines the historical value of electricity storage from the perspective of storage owners in day-ahead markets across Europe. A technology-neutral approach is used, modeling storage based on round-trip efficiency and storage duration. A mixed-integer linear program is utilized to calculate the perfect-foresight value of price-taker storage from arbitrage, using historical hourly DAM prices in various bidding zones. The results show significant variations in storage value geographically and temporally, with round-trip efficiency and storage duration playing key roles.
Article
Thermodynamics
Karl Heine, Paulo Cesar Tabares-Velasco, Michael Deru
Summary: To enable greater renewable energy penetration in the grid, a high level of electric demand flexibility should be integrated into building infrastructure. This study develops modeling and optimization tools to examine central and distributed ice storage systems within the context of multi-building, connected communities.
Article
Thermodynamics
Karl Vilen, Erik O. Ahlgren
Summary: Most computer models used in energy systems optimization modeling studies are constructed using linear equations. However, linear equations may not adequately reflect real-world conditions and are less suitable for representing individual-scale technologies in local system studies. This study investigates the differences in heating solutions and model solution times for a local expanding heating system. The results show that the use of district heating is higher for cost structures that use mixed integer linear programming. On the other hand, the solution time is significantly shorter for linear formulations compared to mixed integer linear formulations.
Article
Chemistry, Physical
Awsan Mohammed, Ahmed M. Ghaithan, Ahmad Al-Hanbali, Ahmed M. Attia
Summary: In this paper, a multi-objective mixed-integer linear programming model is developed to design a hybrid PV-hydrogen renewable energy system considering minimizing total life costs and loss probability of power supply as the objective functions. The model is validated using an electrical testing lab in Saudi Arabia with hourly power demand. The results indicate the feasibility of combining an electrolyzer, hydrogen tank storage, and fuel cell with a renewable energy system, but the cost of energy generated is still high. Additionally, the findings demonstrate the potential of using hydrogen technologies as an energy storage solution for intermittent renewable energy systems and in various applications.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Samuel Trevino-Martinez, Rapinder Sawhney, Charles Sims
Summary: This study proposes an optimization framework for energy-intensive industries to achieve energy-carbon neutrality through production scheduling and renewable energy integration, showcasing the use of solar photovoltaic modules and energy storage systems. The results demonstrate the cost competitiveness of manufacturing systems with energy storage dispatching capability under lower net metering compensation rates.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Awnalisa Walker, Soongeol Kwon
Summary: This study aims to design an efficient control policy for multiple residential consumers to share energy storage, allowing them to achieve economic and feasible energy sharing while efficiently utilizing solar power generation to save energy costs.
Article
Thermodynamics
Yingzong Liang, Chi Wai Hui, Xianglong Luo, Jianyong Chen, Zhi Yang, Ying Chen
Summary: The proposed equation-based optimization framework provides a comprehensive modeling structure for various thermodynamic cycle design problems, offering efficient and effective solutions for solving thermodynamic cycle and related energy systems optimization problems.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Rohan Dutta, Pavitra Sandilya
Summary: Cryogenic Energy Storage (CES) system is gaining attention for its high energy-density, low cost, and mature technology, making it a promising option for large-scale energy storage systems.
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
Haoshui Yu, Henrik Helland, Xingji Yu, Truls Gundersen, Gurkan Sin
Summary: In this study, the optimal design and operation of an Organic Rankine Cycle (ORC) system driven by solar energy were investigated. A simulation-based optimization model was developed to maximize system efficiency, with findings showing that supercritical ORC outperforms subcritical ORC. Toluene was identified as the best working fluid, while the system efficiency was significantly improved compared to previous studies.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Zhenxing Lei, Mingbo Liu, Zhijun Shen
Summary: An open electricity market environment allows a distributed energy resource aggregator to participate in the day-ahead electricity market. A one-leader multi-follower Stackelberg game model is developed to analyze the strategic bidding behavior of the aggregator, considering the security of the distribution system. Linearization techniques are proposed to transform the model into a more manageable form. The effectiveness of the algorithm is verified through comparisons and testing in practical integrated transmission and distribution systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Smita Lokhande, Yogesh Bichpuriya, Ankur A. Kulkarni, Venkatesh Sarangan
Summary: With the increasing use of intermittent renewable energy sources in the electric power system, the system operator faces the challenge of maintaining the dynamic and uncertain demand-supply balance. To address this challenge, the operator procures services from balancing service providers, including energy storage system (ESS) aggregators. This study proposes a model for an ESS aggregator that can trade multiple services in ancillary service markets, contributing to maintaining the real-time demand-supply balance.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Abdullah Alamri, Abdulrahman AlKassem, Azeddine Draou
Summary: This paper presents a comprehensive model for designing optimal energy storage systems (ESS) in isolated microgrids. The proposed model is a mixed integer linear program (MILP) that considers seasonal varying generation (VG) demand, particularly for solar cell generators (SCG), and practical operation of conventional generation (CG) while meeting the required demand and reserve. The model aims to minimize the associated cost of CG and demonstrates that introducing ESS substantially reduces the operating cost of the system, with an average ESS sizing of approximately 3 MWh and 1.70 MW when considering Li-Ion technology and a 25% SCG penetration.
Article
Energy & Fuels
Marcos Tostado-Veliz, Paul Arevalo, Francisco Jurado
Summary: This study focuses on the planning of storage systems for tramway applications, proposing a new optimization framework to effectively coordinate different technologies and addressing high resolution tramway demand measurements through data dimensionality reduction and representative trips. The results demonstrate significant cost savings from storage systems in tramway facilities, emphasizing the importance of fast-acting technologies like super-capacitors for handling peak demand, while batteries are crucial for long-term storage.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Mathematics, Applied
Kurt M. Anstreicher
Summary: This method utilizes the computational power of modern MILP solvers to test if a given matrix is copositive by solving a single mixed-integer linear programming problem. Numerical experiments demonstrate that the method is robust and efficient.
LINEAR ALGEBRA AND ITS APPLICATIONS
(2021)
Article
Engineering, Mechanical
Roberto Scaccabarozzi, Emanuele Martelli, Matteo Pini, Carlo Maria De Servi, Paolo Chiesa, Manuele Gatti
Summary: This paper presents a mean-line model for the preliminary design of multistage axial turbines with blade cooling. The model provides an estimate of turbine efficiency by computing the stage-by-stage design and cooling requirement. The study reveals that cooled sCO2 turbines are not suitable for a repeated stage configuration, film cooling is less effective compared to conventional gas turbines, and increasing the number of stages and rotational speeds can improve efficiency.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME
(2022)
Article
Energy & Fuels
Len Rijvers, Camilo Rindt, Corry de Keizer
Summary: This study investigates the energy performance and system components of a PVT-HP system, and finds that it can meet the annual energy demand of a residential building. The study also analyzes the impact of weather conditions, occupancy, and building orientations on system performance, as well as the optimization potential of PVT-HP systems through variations in collector area and type.
Article
Thermodynamics
Nan Hua, Tiejun Lu, Liwei Yang, Andrew Mckeown, Zhibin Yu, Bing Xu, Adriano Sciacovelli, Yulong Ding, Yongliang Li
Summary: The study proposed a novel two-stage carbon dioxide hydrate-based refrigeration system using pure carbon dioxide hydrate as the primary refrigerant. Through simulation results comparison, it was found that the system with full storage had the largest capacity and lowest operation cost, while the load-levelling storage system saved the most on water consumption.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Yi Wang, Tiejun Lu, Xianglei Liu, Adriano Sciacovelli, Yongliang Li
Summary: This paper investigates the cryogenic heat transfer phenomena of nitrogen flowing in helically coiled tubes under various conditions. The results show that heat transfer coefficients change with different factors and that the performance of helical coils compared to straight tubes varies at different temperatures due to the effects of coil curvature and buoyancy.
Article
Engineering, Chemical
Max Beving, Joris Romme, Pim Donkers, Arjan Frijns, Camilo Rindt, David Smeulders
Summary: This study investigates the hydration reaction of potassium carbonate (K2CO3) and determines the appropriate modeling approach. The results show that the hydration reaction of K2CO3 occurs in a pseudo-steady state and can be described using a one-process model.
Article
Energy & Fuels
Xi Zhang, Hossein Ameli, Zihang Dong, Andrea Vecchi, Alejandro Gallego-Schmid, Goran Strbac, Adriano Sciacovelli
Summary: This paper evaluates the techno-economic values of latent heat thermal energy storage (LHTES) and thermochemical energy storage (TCS) technologies in the whole UK energy system. The results show that TES can benefit different sectors and lead to significant cost savings, but its whole system values are closely related to the decarbonization requirement.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Green & Sustainable Science & Technology
Ting Liang, Andrea Vecchi, Kai Knobloch, Adriano Sciacovelli, Kurt Engelbrecht, Yongliang Li, Yulong Ding
Summary: This article provides a comprehensive review of the key components of Carnot Batteries, including compressors, expanders, thermal energy storage, heat exchangers, and working fluids. It highlights the development status, technical performance, operating parameters, and cost functions of these components. The article also identifies the critical research barriers and development needs for further advancement of Carnot battery systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Energy & Fuels
Emiliano Borri, Nan Hua, Adriano Sciacovelli, Dawei Wu, Yulong Ding, Yongliang Li, Vincenza Brancato, Yannan Zhang, Andrea Frazzica, Wenguang Li, Zhibin Yu, Yanio E. Milian, Svetlana Ushak, Mario Grageda, Luisa F. Cabeza
Summary: Phase change slurries (PCSs) have great potential as both a heat transfer fluid and an energy storage medium for cooling applications. This paper presents a bibliometric analysis and systematic review to showcase the state-of-the-art development of PCSs, and identifies research gaps and hotspots in this field.
Review
Energy & Fuels
Mengting Jiang, Camilo Rindt, David M. J. Smeulders
Summary: This article presents the latest developments in the optimal planning and design of future district heating systems, including the establishment of high-quality heat atlases and the integration of sustainable heat sources. The review also discusses the current approaches for optimal planning and common upgrading measures for existing systems.
Article
Thermodynamics
A. Vangeffelen, G. Buckinx, C. De Servi, M. R. Vetrano, M. Baelmans
Summary: This work examines the heat transfer in micro-and mini channels with arrays of offset strip fins. The Nusselt number correlations from the literature are found to not accurately capture the observed trends for the Nusselt number in micro-and mini-channels subject to a constant heat flux. New Nusselt number correlations are presented and assessed for air and water, showing a linear dependence on the Reynolds number and respecting the observed asymptotic trends and limits of the Nusselt number.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Pouriya H. Niknam, Adriano Sciacovelli
Summary: This study evaluates the performance and economics of a novel hybrid thermal energy storage technology (HyTES) for industrial applications. By combining high-temperature phase change materials (PCMs) with a fast-response steam accumulator, HyTES can capture excess heat and provide additional energy storage capacity. The study provides technical analysis and compares different configurations, laying the foundation for quantifying the overall benefits of hybrid energy storage.
Article
Energy & Fuels
Mengting Jiang, Michel Speetjens, Camilo Rindt, David Smeulders
Summary: This study develops a data-based compact model for predicting fluid temperature in district heating pipeline networks. The model, called reduced-order model (ROM), is obtained by reducing the energy conservation law for each pipe segment to an input-output relation between pipe temperatures, which can be determined from training data. The ROM is applicable to various pipe configurations involving 3D unsteady heat transfer and 3D steady flow as long as heat-transfer mechanisms are linearly dependent on temperature. The study demonstrates the successful identification and accurate prediction capability of the ROM using computational training data for both single-pipe configurations and realistic systems.
Article
Energy & Fuels
Andrea Vecchi, Adriano Sciacovelli
Summary: This study investigates the potential of thermo-mechanical energy storage (TMES) technologies to meet long-duration energy storage (LDES) targets. Results show the priority of low storage costs over high roundtrip efficiency for LDES, endorsing new concepts based on thermochemical energy storage. Novel TMES using metal oxidation/reduction and CaO hydration/dehydration reactions can potentially meet the cost target and compete with long-duration solutions like hydrogen.
Article
Mechanics
A. Vangeffelen, G. Buckinx, Carlo Maria De Servi, M. R. Vetrano, M. Baelmans
Summary: In this study, large-scale numerical flow simulations are conducted to determine the extent of developed and quasi-developed flow regions in micro- and mini-channels with offset strip fin arrays. It is found that the onset point of developed flow increases linearly with Reynolds number and channel width, but remains small compared to the total channel length. Additionally, the local macro-scale pressure gradient and closure force can be adequately modeled using a developed friction factor correlation for the (double) volume-averaged Navier-Stokes equations.
Article
Electrochemistry
Franck Pra, Jad Al Koussa, Sebastian Ludwig, Carlo M. De Servi
Summary: The study evaluated a thermal management system for an electric van battery pack, combining active and passive solutions, and validated the effectiveness of this hybrid thermal management concept through CFD simulations and experimental testing.
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.
