Article
Energy & Fuels
Neeraj Dhanraj Bokde, Bo Tranberg, Gorm Bruun Andresen
Summary: The energy industry accounts for 46% of all CO2 emissions globally, presenting a significant potential for reduction. A new forecasting method shows a mean absolute percentage error 25% lower than the best performing state-of-the-art model. Scheduling flexible electricity consumption can lead to reductions in CO2 emissions by an average of 25% in France, 17% in Germany, 69% in Norway, 20% in Denmark, and just 3% in Poland.
Article
Green & Sustainable Science & Technology
Bruno Cardenas, Lawrie Swinfen-Styles, James Rouse, Adam Hoskin, Weiqing Xu, S. D. Garvey
Summary: This study focuses on the growth of energy storage capacity requirement as the penetration of renewables increases, using the UK's electric grid as a case study. It analyzes the most economical solution to decarbonize the electric supply, suggesting that the UK could need approximately 43 TWh of storage capacity for decarbonization, requiring an investment of around 165.3 billion pounds.
Article
Energy & Fuels
Muhammad Shahzad Javed, Jakub Jurasz, Pawel Bronislaw Dabek, Tao Ma, Piotr Jadwiszczak, Elzbieta Niemierka
Summary: In order to achieve carbon neutrality in the industrial sector, the use of variable low-carbon and low-cost electricity sources, along with various storage technologies, may be the only viable option. This study investigates different scenarios for manufacturing facilities under different emission reduction targets to determine the most cost-effective decarbonization pathway. The findings emphasize the importance of specific technologies at different decarbonization levels and highlight the critical role of hydrogen facilities in deep decarbonization.
Article
Green & Sustainable Science & Technology
Habip Sahin, Hikmet Esen
Summary: The aim of this study is to analyze the use of renewable energy resources in electricity generation and its impacts on greenhouse gas emissions mitigation. The study found that Turkey's emission intensity from electricity production has decreased over the years. It is suggested that Turkey should utilize its renewable energy potential more effectively to further reduce emissions from electricity generation.
Article
Energy & Fuels
Hamed Aziz, Mohammad Tabrizian, Meghdad Ansarian, Amir Ahmarinejad
Summary: This paper proposes a three-stage framework for microgrid participation in the electricity market, considering economic, technical, and environmental indicators. The study demonstrates that the presence of energy storage systems and demand response programs, as well as a reconfigurable topology, can reduce the marginal prices of microgrids and the market clearing price.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Economics
Franziska Schoniger, Ulrich B. Morawetz
Summary: The increase in the share of wind and solar energy does not necessarily result in a higher variance in electricity spot prices. The shape of the supply curve and variance of renewable production can lead to lower price variance. Panel model and regression results for European countries show a U-shaped relationship between renewable electricity production share and price variance. The availability of export and import capacities, flexible power plants, and hydro storage is more important for balancing price variance than the level and variance of renewable infeed.
Article
Thermodynamics
A. Carro, R. Chacartegui, C. Ortiz, J. Carneiro, J. A. Becerra
Summary: The use of CO2 as a working fluid in power generation and storage applications has seen significant growth in recent years, with novel combined use of supercritical CO2 cycles showing promise as energy storage systems and for carbon dioxide sequestration. These cycles demonstrate high potential for competitive electric to electric storage efficiencies and costs, while also indicating the possibility of additional CO2 storage. This concept provides an opportunity for energy storage systems, particularly when combined with carbon-intensive industries such as cement or chemicals.
APPLIED THERMAL ENGINEERING
(2021)
Article
Chemistry, Physical
Matthew Stocks, Ryan Stocks, Bin Lu, Cheng Cheng, Andrew Blaker
Summary: Pumped hydro energy storage in closed-loop, off-river settings can overcome the challenges of finding suitable dam sites, providing more opportunities to support renewable energy generation. Through GIS analysis, hundreds of thousands of potential storage sites have been identified, with a vast combined storage potential capable of supporting large-scale renewable electricity development.
Article
Green & Sustainable Science & Technology
Sarah Wang, Brian Tarroja, Lori Smith Schell, Scott Samuelsen
Summary: The study investigates the cost-optimal level of curtailment allowed in developing fully decarbonized electricity systems and finds that allowing some curtailment can significantly reduce the cost of building a fully decarbonized electricity system by a factor of 3.
Article
Green & Sustainable Science & Technology
N. Herath
Summary: Integrating intermittent wind and solar generation into the grid incurs system integration costs, but also brings emissions savings and economic benefits. However, the study found that the system integration costs outweigh the benefits of emissions savings, indicating that the cost increase is not justified.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Economics
Claire Bergaentzle, Philipp Andreas Gunkel
Summary: This article examines the role of electricity grid tariffs in flexible district heating in the Nordic region in 2050, considering limited interconnections. The study finds that current volumetric tariffs significantly restrict investment and flexibility. However, appropriate tariff designs can lead to increased electrification, renewable energy investment, and generation.
Article
Energy & Fuels
Ioana Bejan, Carsten Lynge Jensen, Laura M. Andersen, Lars Garn Hansen
Summary: A randomized field experiment compared the household consumer welfare effects of reacting to dynamic electricity price incentives and time of use incentives. The study found that dynamic incentives only induced half the change in electricity consumption compared to time of use incentives. This suggests that a combination of time of use and dynamic pricing incentives is likely the optimal tariff structure for balancing demand flexibility and consumer welfare costs.
Article
Environmental Sciences
Balazs M. Fekete, Mihaly Bacsko, Jiaqi Zhang, Mengye Chen
Summary: Transitioning away from fossil fuels is crucial for a sustainable future, but intermittent energy supply is a major challenge. While decarbonization is a primary driver, the depletion of fossil energy sources also provides strong incentives. Many publications on achieving net-zero carbon emissions fall short of truly achieving a fossil fuel-free future without some dependence on fossil fuels with carbon capture and sequestration. The intermittency of renewable energy sources is the main obstacle to their wider adoption.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Agricultural Engineering
Zhengzhong Mao, Shaoan Cheng, Yi Sun, Zhufan Lin, Longxin Li, Zhen Yu
Summary: This study proposes a novel biocathode acclimation strategy with intermittent step-up voltage (ISUV) to improve the stability and resilience of the Electromethanogenesis (EMG) system against the fluctuation of renewable electricity input. Compared with intermittent application of constant voltage (IACV), ISUV significantly increased the rate of CH4 production by 11.7 times, and improved the stability and resilience by 56% and 500%, respectively. Morphological and microflora structure analysis revealed that the biofilm enriched with ISUV exhibited a compact microflora structure with high-density cells and nanowires interconnected, providing an effective strategy to enhance the performance of the EMG system.
BIORESOURCE TECHNOLOGY
(2021)
Article
Thermodynamics
Ali Ehsan, Robin Preece
Summary: The decarbonisation of heat supply is crucial for emissions reduction, but there is uncertainty about achievable levels and optimal technology mix, which can impact future electricity and gas demand. This study uses an integrated model to quantify the impacts of heat decarbonisation on future electricity and gas demand, with a case study in Great Britain. The results show that electrified heat supply leads to a volatile electricity demand, while hydrogen-based heat supply reduces peak gas demand and shifts seasonality towards electricity. Sensitivity analysis highlights the importance of relative heat demand and performance of heat pumps. Demand-side flexibility can help balance the electricity system and minimize infrastructure requirements. The findings have relevance for global energy transition.
Article
Biotechnology & Applied Microbiology
Jan G. G. Jonker, Martin Junginger, John Posada, Carla S. Ioiart, Andre P. C. Faaij, Floor van der Hilst
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR
(2019)
Article
Biodiversity Conservation
Judith A. Verstegen, Carina van der Laan, Stefan C. Dekker, Andre P. C. Faaij, Maria J. Santos
ECOLOGICAL INDICATORS
(2019)
Article
Green & Sustainable Science & Technology
Stephen Ivan Aan den Toorn, Ernst Worrell, Machteld A. van den Broek
JOURNAL OF INDUSTRIAL ECOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Rogier Hans Wuijts, Marjan van den Akker, Machteld van den Broek
Summary: This paper introduces two efficient dynamic programming algorithms for solving the single-unit commitment problem, which have shown significant speedup in experiments. These methods scale linearly in the amount of time steps and are suitable for solving large scale unit commitment problems.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Economics
William Zappa, Martin Junginger, Machteld van den Broek
Summary: The study shows that the Central Western Europe power system can achieve decarbonization targets at both 2 degrees C and 1.5 degrees C, while providing reliable low-carbon electricity. However, the system costs for the 1.5 degrees C scenario are found to be twice as high as those for the 2 degrees C scenario, primarily due to the high cost of negative emission technologies such as direct air carbon capture (DAC).
Review
Green & Sustainable Science & Technology
R. Martinez-Gordon, G. Morales-Espana, J. Sijm, A. P. C. Faaij
Summary: The importance of spatial resolution in energy modeling has been growing, and this paper provides a comprehensive review of the topic, including applications of GIS, analysis of energy modeling tools, and practices for incorporating spatial resolution in energy models.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Multidisciplinary Sciences
Laura Florentina Gusatu, Stefano Menegon, Daniel Depellegrin, Christian Zuidema, Andre Faaij, Claudia Yamu
Summary: The study proposes a comprehensive assessment methodology for understanding the potential impacts of OWF projects on the marine ecosystem in the North Sea basin. Results indicate 2022 as the peak year for cumulative impacts of approved OWFs, with a significant increase in potential impacts from planned 212GWs by 2050. The research highlights the varying degrees of impact in concentrated areas (such as SE UK) and dispersed areas (Germany) over time.
SCIENTIFIC REPORTS
(2021)
Article
Green & Sustainable Science & Technology
S. I. Aan den Toorn, E. Worrell, M. A. van den Broek
Summary: The study explores the potential for reducing CH4 and N2O emissions from meat and dairy production in the EU28 by combining various mitigation measures. The results suggest that significant reductions can be achieved through implementing specific combinations of measures, but further research and technological advancements are needed to achieve greater emission reductions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Ahmed Younis, Rene Benders, Jezabel Ramirez, Merlijn de Wolf, Andre Faaij
Summary: The study proposes a combined approach to address the challenges in integrating variable renewable energy sources into the energy system. It enhances the temporal resolution of an energy model and simulates the projected electricity mix using a power model. The results show that combining both methods leads to more accurate assessment of renewable energy penetration and highlights the additional investments and costs required for reliable power system operation.
Article
Energy & Fuels
Andre P. C. Faaij
Summary: Biomass use for energy and materials is a key mitigation option to reach the 1.5 degrees C global temperature target set in the Paris Agreement. However, negative connotations have emerged in certain parts of the EU, particularly regarding displacement effects in markets and land use. Despite this, strong evidence supports the use of sustainable biomass, and there are insights on how to avoid displacement issues. By utilizing better agricultural methods, restoring marginal and degraded lands, and adapting to climate change, biomass can contribute significantly to the future energy and material supply, with potential benefits for overall mitigation and the removal of CO2 from the atmosphere. It is recommended that future policies prioritize the synergy between biomass, energy transition, climate adaptation, agriculture, and land use, as this offers an opportunity to contribute to the European Green Deal and improve energy security.
Article
Thermodynamics
Longquan Li, Purushothaman Vellayani Aravind, Theo Woudstra, Machteld van den Broek
Summary: Proper thermal management can improve the efficiency of hydrogen storage chains based on liquid organic hydrogen carriers (LOHC). Various strategies for heat integration are designed to enhance the energy efficiency of LOHC chains, with dibenzyltoluene (DBT) identified as the most favorable LOHC pair for waste heat recovery (WHR). The WHR strategies significantly improve the energy efficiency of LOHC chains, making them more efficient than traditional compressed or liquid hydrogen chains in certain scenarios.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Kathelijne Bouw, Carina J. J. Wiekens, Casper Tigchelaar, Andre Faaij
Summary: Participatory energy planning at the local level can increase citizen engagement, establish legitimacy and trust, and promote successful implementation of renewable energies. This research contributes to the current literature by providing concrete examples and verified approaches to clarify the guiding principles of participatory energy planning and address the opportunities and challenges involved. The paper presents a process design that includes multiple tools for collecting social input, such as surveys, questionnaires, and workshops, to facilitate participatory technology choices. The design is applied and tested in a case study of a Dutch neighborhood, and the lessons learned serve as a basis for further research.
Article
Energy & Fuels
Rogier Hans Wuijts, Marjan van den Akker, Machteld van den Broek
Summary: In power system studies, the unit commitment problem is solved to support market decisions and assess system adequacy. The impacts of simplifications on solution quality and computation time were thoroughly investigated, revealing that some simplifications led to significant quality loss without reducing computation time. However, the linear relaxation approach resulted in less quality loss with a significant speed-up, and no difference when unserved energy was minimized. Both the average and maximum capacity factor difference were found to be large for all model variants.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS
(2023)
Article
Green & Sustainable Science & Technology
Annika Boldrini, Derck Koolen, Wina Crijns-Graus, Ernst Worrell, Machteld van den Broek
Summary: The decarbonisation efforts in the iron and steel industry will lead to a significant increase in electricity consumption, especially with the increased electrification and the switch to hydrogen as iron reductant. This study focuses on the potential demand response strategies for new lowcarbon technologies and finds that hydrogen-based direct reduction of iron with electric arc furnace technology has a much higher potential for electricity cost savings compared to retrofitting blast furnace basic oxygen furnace technology with carbon capture.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Correction
Chemistry, Multidisciplinary
Birka Wicke, Edward Smeets, Veronika Dornburg, Boris Vashev, Thomas Gaiser, Wim Turkenburg, Andre Faaij
ENERGY & ENVIRONMENTAL SCIENCE
(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.