Article
Green & Sustainable Science & Technology
Angel Ordonez, Esteban Sanchez, Lydia Rozas, Raid Garcia, Javier Parra-Dominguez
Summary: This research aims to improve the regulations in Ecuador and other countries by learning from the experience in Spain and promoting the development of self-consumption of photovoltaics. The economic analysis highlights the low profitability of small PV installations in Ecuador and the effectiveness of net-billing model in the medium and long term.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Kalliopi D. Pippi, Theofilos A. Papadopoulos, Georgios C. Kryonidis, Evangelos D. Kyriakopoulos
Summary: Nowadays, the transition from conventional power plants to distributed photovoltaic systems is necessary due to volatile economic conditions and environmental concerns. Net-metering is considered an important policy for promoting photovoltaic installations. However, the increasing penetration of photovoltaics and their intermittent nature may cause technical issues in grid operation. Battery energy storage systems are used to tackle these challenges but their high costs and limited lifetime hinder investments. In this paper, a techno-economic model is introduced to evaluate the viability of prospective photovoltaic-battery energy storage investments in Greece.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Energy & Fuels
Dariusz Kurz, Agata Nowak
Summary: Renewable Energy Sources (RES) are gaining popularity worldwide and the current global political situation is further expediting the energy transformation processes. Environmental protection and RES utilization have become top priorities for countries and the European Union (EU). In Poland, amendments to the Renewable Energy Sources Act have slowed down the photovoltaic (PV) installation market due to changes in the billing system for electricity produced by individual prosumers, which was influenced by EU regulations. This paper analyzes three billing mechanisms for prosumer micro-installations using the Net Present Value (NPV) method, specifically focusing on net-metering and net-billing principles with monthly and hourly prices, and discussing the roles of electricity self-consumption and energy storages in the net-billing system's economic efficiency.
Article
Energy & Fuels
Krystian Janusz Cieslak
Summary: The presented work compares different approaches of photovoltaic systems based on monthly energy production profiles and user needs profiles. The study considers two types of investors and two scenarios. It analyzes the sustainability, investment payback time, and energy loss of the systems under the new Polish Renewable Energy Law.
Article
Computer Science, Information Systems
Kun-Yik Jo, Seok-Il Go
Summary: This paper presents an operation method for PV-battery hybrid systems by estimating PV generation. The method aims to reduce peak load by predicting the maximum PV generation on a clear day and determining the charge and discharge set points of the battery. The effectiveness of the operation method was validated through simulation studies, showing a 30% reduction in peak load using the proposed algorithm.
Article
Environmental Sciences
John E. T. Bistline, Christopher W. Roney, David L. McCollum, Geoffrey J. Blanford
Summary: The study emphasizes the impact of electrification on load shapes and peak demand in deep decarbonization pathways. Research results suggest that electrification may lead to peak load increases and shifts from summer peaks to winter ones, especially in cooler climates due to space heating electrification. By exploring the potential impacts of deep decarbonization on regional load shapes and peak electricity demand, researchers aim to better understand the effects of electrification on the power sector.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Economics
Mahelet G. Fikru, Luis Gautier
Summary: As investments in small-scale energy generating systems, such as residential rooftop photovoltaics (PV), increase, the impact on energy consumption decisions, like purchasing green electricity, is still unclear. Two utility-maximization models are presented to explore this relationship. The results show that the size of the PV system is positively correlated with total energy consumption but has a very weak impact on green electricity purchases. Optimal system size increases with electricity prices. These findings have important implications for decarbonization goals through energy transition.
Article
Mathematics
Kangye Tan, Yihui Tian, Fang Xu, Chunsheng Li
Summary: In the context of carbon neutralization, battery recycling becomes an important work in the growing electric vehicle and energy storage market. This study establishes an integer programming model of urban power battery reverse supply chain scheduling based on intelligent algorithms and mathematical models to investigate the impacts of resource and operation status of a built city recycling center and dismantling center on the power battery reverse supply chain.
Article
Transportation Science & Technology
Mengyuan Duan, Feixiong Liao, Geqi Qi, Wei Guan
Summary: This study proposes an integrated optimization model for battery electric bus networks to reduce system costs using flexible charging and timetable shifting strategies. Numerical experiments show that the proposed model and solution method can significantly improve utilization rate, reduce fleet size, operational costs, and peak power demand.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Thermodynamics
Md Masud Rana, Mohd Fakhizan Romlie, Mohd Faris Abdullah, Moslem Uddin, Md Rasel Sarkar
Summary: A novel peak load shaving algorithm is proposed for hybrid PV-BESS connected Isolated Microgrid (IMG) system, which has been tested and evaluated with actual load data and PV generation data. The algorithm is proven effective in optimizing the operation of generation systems and economically utilizing the PV generation unit, providing peak shaving service as a simple and effective solution.
Article
Energy & Fuels
Dylon Hao Cheng Lam, Yun Seng Lim, Jianhui Wong, Adib Allahham, Charalampos Patsios
Summary: Lithium-ion batteries are commonly used in energy storage systems for grid services, providing financial and environmental benefits. A degradation model is needed to predict battery capacity losses and lifespan due to various factors. A characteristic-based degradation model is proposed and experimentally verified. Integrating with an idling degradation model, the model predicts the service lifespan and maximum financial benefit of an energy storage system under different conditions. The results show significant cost savings for both a university and a factory.
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
Green & Sustainable Science & Technology
Moonjong Jang, Ho-Jin Choi, Chae-Gyun Lim, Byoungwoong An, Jungsub Sim
Summary: This paper proposes a method for cost minimization in energy storage system scheduling that takes into account the peak demand and load balancing simultaneously. A case study conducted in Korea Electric Power Corporation (KEPCO) reveals that demand charge is more important than energy charge, and solving the scheduling problem for cost reduction is beneficial for power system operation.
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
Green & Sustainable Science & Technology
Hou Sheng Zhou, Rob Passey, Anna Bruce, Alistair B. Sproul
Summary: This study analyzed the actual performance of 15 residential batteries deployed in Australia during network peak demand periods, showing that some batteries performed lower than simulated expectations and did not fully reduce grid import and export.
Article
Automation & Control Systems
P. Braun, L. Gruene, C. M. Kellett, S. R. Weller, K. Worthmann
INTERNATIONAL JOURNAL OF CONTROL
(2020)
Article
Automation & Control Systems
Lei Wang, Christopher M. Kellett
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2020)
Article
Automation & Control Systems
Philipp Braun, Christopher M. Kellett
Article
Automation & Control Systems
Philipp Braun, Christopher M. Kellett, Luca Zaccarian
Summary: The study introduces a design method for linear systems ensuring stability and obstacle avoidance, utilizing a hybrid controller design. The proposed controller successfully prevents solutions from entering a sphere around specified obstacle points.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Timm Faulwasser, Christopher M. Kellett
Summary: This paper analyzes the interplay between dissipativity and stability properties in continuous-time infinite-horizon Optimal Control Problems (OCPs), establishing relations and equivalence conditions. By investigating strict dissipativity and optimal adjoint trajectories, the study extends previous work and addresses the question of adjoint transversality conditions, providing conditions for adjoint convergence to optimal steady-state value. Illustrative examples are used to support findings, along with a discussion of the relation to existing literature.
Article
Automation & Control Systems
Lei Wang, Christopher M. Kellett
Summary: This article studies the robust output feedback stabilization problem for multi-input-multi-output (MIMO) invertible nonlinear systems with output-dependent multipliers. An ideal state feedback is first designed and a set of extended low-power high-gain observers is systematically designed, resulting in a robust output feedback stabilizer that achieves semi-global asymptotic stability and improves numerical implementation.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Lei Wang, Lorenzo Marconi, Christopher M. Kellett
Summary: This paper studies the design approaches for robust implementable output regulators in linear continuous-time systems with periodically sampled measurements. The design framework incorporates a generalized hold device and transforms the original problem into the design problem of an output feedback controller for a discrete-time system. The proposed approach ensures exponential convergence of the regulation errors to zero.
Proceedings Paper
Automation & Control Systems
Timm Faulwasser, Christopher M. Kellett
Summary: This paper revisits the problem of continuous-time infinite-horizon optimal control and investigates the interplay between dissipativity and stability properties. By comparing the original findings of Jan Willems in 1972 with recent research results, further investigation is conducted.
Article
Automation & Control Systems
P. Braun, G. Giordano, C. M. Kellett, L. Zaccarian
Summary: In this paper, we propose a novel asymmetric scheduled extension method for preserving the original symmetric solution and extending the stability region to the union of all possible contractive ellipsoids. Our design is based on solving a parametric optimization problem, and we prove the Lipschitz properties of the resulting feedback law and compute its explicit state-feedback expression.
IEEE CONTROL SYSTEMS LETTERS
(2022)
Article
Mathematics, Applied
Lars Gruene, Matthias A. Mueller, Christopher M. Kellett, Steven R. Weller
Summary: This paper investigates results related to discounted optimal control, introduces the concept of discounted strict dissipativity, and demonstrates its importance for system stability. For discount factors close to one, strict dissipativity implies discounted strict dissipativity, leading to practically asymptotically stable equilibria in optimally controlled systems.
MATHEMATICAL CONTROL AND RELATED FIELDS
(2021)
Proceedings Paper
Automation & Control Systems
Lei Wang, Lorenzo Marconi, Christopher M. Kellett
Proceedings Paper
Automation & Control Systems
Lei Wang, Christopher M. Kellett
2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC)
(2019)
Proceedings Paper
Automation & Control Systems
Philipp Braun, Christopher M. Kellett, Luca Zaccarian
2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC)
(2019)
Proceedings Paper
Automation & Control Systems
Lei Wang, Christopher M. Kellett
Proceedings Paper
Automation & Control Systems
Philipp Braun, Christopher M. Kellett, Luca Zaccarian
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.
