Article
Energy & Fuels
Anthoula Menti, Dimitrios Barkas, Stavros Kaminaris, Constantinos S. Psomopoulos
Summary: Existing international standards address harmonic orders up to the 40th or 50th, but modern converters may shift emissions to higher frequencies. Recent cases of disturbances in modern distribution grids attributed to supraharmonics have sparked research interest.
Article
Chemistry, Physical
Dev Millstein, Ryan Wiser, Andrew D. Mills, Mark Bolinger, Joachim Seel, Seongeun Jeong
Summary: The value of electricity generated from wind and solar sources decreases as supply increases, varying over time and across regions. Strategies to mitigate this value decline need to be carefully targeted, with factors like output profile, transmission congestion, and curtailment influencing the value. In regions where wind or solar contribute approximately 20% of electricity generation, their value can be 30% to 40% lower than the regional average value of a flat output profile.
Article
Thermodynamics
Robert Idel
Summary: This paper introduces a new cost evaluation metric LFSCOE to compare the costs of different electricity generating technologies. In contrast to the traditional LCOE, LFSCOE takes into account the effects of intermittency and non-dispatchability, condensing the cost for each technology into one number per market.
Article
Environmental Sciences
Jintao Lu, Chunyan Wang, Chong Zhang, Hailing Guan, Marinko Skare, Justas Streimikisv
Summary: The EU has ambitious energy and climate targets for its member states, aiming for 100% renewables in power generation by 2050. This study assesses the avoided external costs of electricity generation in the Baltic States by implementing these targets, showing significant social benefits from renewable promotion.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
O. Selcuk, B. Acar, S. A. Dastan
Summary: This paper investigates the system integration costs for wind and river type hydropower generation in the Turkish electricity market. It finds that wind and river type hydro generations cause significant imbalances in the Turkish electrical system, with most of the renewable imbalance effect stemming from congestion between consumption areas and generation zones. The paper recommends defining new price zones to address this issue.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Economics
Natalia Fabra
Summary: The surge in gas prices due to the Ukrainian war has led to a European energy crisis, prompting discussions on overhauling electricity markets. The European Commission proposes maintaining short-term electricity markets, fostering long-term Power Purchase Agreements (PPAs) and Contracts-for-Differences (CfDs), and allowing Member States to regulate retail prices during emergencies. This paper proposes a market design that aligns with the EC's plan while introducing additional elements to address its limitations, advocating an enhanced reliance on CfDs tailored to the attributes of the generation technologies.
Article
Economics
Katarzyna Maciejowska, Weronika Nitka, Tomasz Weron
Summary: Recent years have seen rapid development of renewable energy sources globally, with predictions of RES and demand levels recognized as key factors for future electricity prices. Bias in forecasts of fundamental variables published by TSOs can be improved with simple regression models, resulting in more accurate price predictions and increased revenues.
Article
Energy & Fuels
Yanxue Li, Wenya Xu, Xiaoyi Zhang, Zixuan Wang, Weijun Gao, Yang Xu
Summary: Deploying utility-scale storage systems is crucial for improving energy flexibility and economic performance in the face of increasing renewable energy penetration. However, previous studies have not adequately considered the effects of storage duration and changes in the electricity market. This study develops a framework to evaluate and compare different storage technologies in terms of their arbitrage profit potential, taking into account factors such as roundtrip efficiency, duration time, and spot price variation.
JOURNAL OF ENERGY STORAGE
(2023)
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
Chemistry, Physical
Katherine E. Lonergan, Florian Egli, Sebastian Osorio, Giovanni Sansavini, Michael Pahle, Tobias S. Schmidt, Bjarne Steffen
Summary: Energy system models provide optimal investment pathways and guide policymakers in the low-carbon energy transition. However, the representation of the cost of capital (CoC) in these models remains unclear, despite its strong influence on outcomes. A review of 58 model-based publications suggests a lack of guiding principles for determining CoC, with many relying on unfounded assumptions. To address this, the study identifies barriers and suggests practical steps, including heuristic guidelines for differentiated CoC rates. Overall, improving the treatment of CoC will enhance the quality of model-based policy advice.
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
Economics
Manuel Villavicencio, Dominique Finon
Summary: This study proposes a methodology to evaluate the interplay between renewable energy goals and CO2 caps in the electricity sector, using a detailed power system model. The research shows that renewable energy development is limited without subsidies, and technical externalities can create trade-offs between renewable energy penetration and environmental effectiveness.
Article
Energy & Fuels
Vasileios G. Lakiotis, Christos K. Simoglou, Anastasios G. Bakirtzis
Summary: This paper presents a new methodological approach to assess the operational value of energy storage by midterm simulation considering the co-optimization of energy and reserves provision. Simulation results show that the addition of closed-loop energy storage units can lead to higher DAM clearing prices, lower conventional thermal units cycling, and lower RES curtailment volumes.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Juan Esteban Martinez-Jaramillo, Ann van Ackere, Erik R. Larsen
Summary: The study analyzed the transition process of Switzerland from nuclear towards solar and hydro base generation, proposing the use of a capacity auction mechanism to smooth the transition and mitigate the increase in electricity prices. Subsidizing PV indirectly encourages storage, thereby eliminating shortages during the transition process.
Article
Environmental Studies
Elad Shaviv, Yael Parag, Naama Teschner, Shiri Zemah-Shamir
Summary: Distributed energy systems, enabled by decentralized energy generation and management, provide cheaper, cleaner, and more widespread energy supplies to local energy consumers. This transition brings new actors and innovative business models, necessitating a redefinition of energy policies and governance procedures for effective governance.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Agronomy
Joshua Guesewell, Marlies Haerdtlein, Ludger Eltrop
GLOBAL CHANGE BIOLOGY BIOENERGY
(2019)
Article
Energy & Fuels
Ciro Florio, Gabriella Fiorentino, Fabiana Corcelli, Sergio Ulgiati, Stefano Dumontet, Joshua Guesewell, Ludger Eltrop
Review
Green & Sustainable Science & Technology
Shiva Gorjian, Babak Nemat Zadeh, Ludger Eltrop, Redmond R. Shamshiri, Yasaman Amanlou
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2019)
Article
Energy & Fuels
Dimitrij Chudinzow, Jannik Haas, Gustavo Diaz-Ferran, Simon Moreno-Leiva, Ludger Eltrop
Review
Green & Sustainable Science & Technology
Simon Moreno-Leiva, Jannik Haas, Tobias Junne, Felipe Valencia, Helene Godin, Willy Kracht, Wolfgang Nowak, Ludger Eltrop
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Engineering, Chemical
Christian Mueller, Regis Anghilante, Max Schmid, Marlies Haerdtlein, Reinhold Spoerl, David Colomar, Felix Ortloff, Ludger Eltrop, Frank Graf, Siegfried Bajohr, Thomas Kolb
CHEMIE INGENIEUR TECHNIK
(2020)
Article
Energy & Fuels
Matthias Kuehnbach, Felix Guthoff, Anke Bekk, Ludger Eltrop
Article
Energy & Fuels
Dimitrij Chudinzow, Markus Klenk, Ludger Eltrop
Article
Energy & Fuels
Christoph Bahret, Ludger Eltrop
Summary: The study uses a linear optimization approach to analyze the cost difference between shared energy infrastructure (smart energy neighborhoods, SENs) and individually planned buildings in idealized building clusters at different degrees of urbanization. With higher emission reduction targets, the advantage of SENs increases within rural environments and can reach up to 16%. However, there are scenarios where sharing energy infrastructure among buildings does not lead to economic advantages, such as in clusters with less than four buildings.
Article
Energy & Fuels
Joshua Guesewell, Katharina Scherzinger, Lars Holstenkamp, Lynn Vincent, Ludger Eltrop
Summary: This research explores potential follow-up concepts for existing biogas plants in Germany, identifying Seasonal flexibilization as the most promising option in various scenarios. It shows significant potential to double the net greenhouse gas emission reduction and emphasizes the importance of considering diverse factors in assessing similar biogas markets.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Joshua Guesewell, Ludger Eltrop, Kai Hufendiek
Summary: The power demand-oriented operation of biogas plants poses challenges for future energy systems with high shares of fluctuating renewable energies. Seasonal flexibilisation can increase heat utilisation rates and profitability, but economic operation in Germany is currently not feasible.
ADVANCES IN APPLIED ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Jannik Vetter-Gindele, Andreas Braun, Gebhard Warth, Tram Thi Quynh Bui, Felix Bachofer, Ludger Eltrop
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.