Article
Green & Sustainable Science & Technology
Kokouvi Edem N'Tsoukpoe, Frederic Kuznik
Summary: This paper focuses on the challenges and questioning of long-term thermochemical heat storage for household applications, highlighting the significant thermal losses in seasonal thermochemical storage. The study suggests that the energy storage density based on solid hydrates or aqueous solutions may not be practical for long-term thermal energy storage for domestic hot water and heating.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Chemistry, Multidisciplinary
Santanu Kumar Dash, Michele Roccotelli, Rasmi Ranjan Khansama, Maria Pia Fanti, Agostino Marcello Mangini
Summary: This paper examines the forecasting of consumer electricity demand through the RNN-GBRT technique, which helps reduce electricity demand and ensure accurate evaluation. The efficiency of the proposed model is compared with various conventional models, while monitoring power consumption data on the distribution line to prevent financial losses and detecting abnormal changes.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
Qian Xu, Bon-Gang Hwang, Yujie Lu
Summary: The research findings suggest that Household Energy-Saving Option (HESO) effectively promotes household energy-saving behaviors and can play a crucial role in reducing household energy consumption in communities.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Economics
Kenneth Clements, Marc Jim Mariano, George Verikios
Summary: Distinguishing household groups has substantial advantages when estimating the linear expenditure system, and allows for improved predictions and economic properties. Considering the heterogeneity of consumers can serve as a new possible driver for long-term changes in the economy's composition.
ECONOMIC MODELLING
(2022)
Article
Green & Sustainable Science & Technology
Huafu Pei, Huaibo Song, Fanhua Meng, Weiling Liu
Summary: This paper presents a high precision and computationally efficient model for predicting the long-term performance of energy pile design. Experimentally validated numerical models are utilized to generate training and evaluation datasets, and the proposed model is shown to accurately predict the long-term performance of energy piles while reducing computational time and resource requirements.
Article
Economics
Bingjiang Luan, Hong Zou, Junbing Huang
Summary: This study examines the impact of the digital divide on household energy poverty in China and identifies its mechanisms. Using data from the China Family Panel Studies, a household-level digital divide index is constructed and its effects on energy poverty reduction are analyzed. The results indicate that the digital divide hinders the reduction of household energy poverty, particularly for low-income, older, and rural households. The digital divide is found to increase income poverty and credit constraints, reduce employment opportunities, and weaken social capital, thus inhibiting household energy poverty reduction. This research provides a micro foundation for constructing digital divide indices, assessing economic impacts, and designing policies to narrow the digital divide in developing countries.
Article
Economics
Dylan Brewer
Summary: I conducted a survey that examined how respondents would react to different costs of adjusting their thermostats. By analyzing the survey results, I found that even at the highest price level, half of the participants did not change their behavior in response to the cost. On average, a 100 percent increase in heating costs led to a small reduction in winter heating level. The survey behavior of participants with complete information can explain real-world temperature settings, suggesting limited role of informational barriers in energy-service demand heterogeneity.
Article
Engineering, Environmental
Xuan Liu, Qian-Cheng Wang, Izzy Yi Jian, Hung-Lin Chi, Dujuan Yang, Edwin Hon-Wan Chan
Summary: This study explores the impact of Big Five personality traits on energy-saving behavior of residents in Xi'an, China. It discovers significant heterogeneity in energy-saving behavior among different personality trait groups, with positive and temperate groups being more influenced by subjective norms while other groups are more influenced by perceived behavior control.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Review
Green & Sustainable Science & Technology
Chun Sing Lai, Giorgio Locatelli, Andrew Pimm, Xiaomei Wu, Loi Lei Lai
Summary: Driven by the demand for intermittent power generation, Energy Storage (ES) will be widely adopted in future electricity grids to provide flexibility and resilience. However, existing models are inadequate to address grids with a high percentage of renewables and ES, and there is a challenge in integrating short-term temporal changes in LEPSMs due to model complexity and computational cost. Therefore, there is a need for a novel long-term electrical power system modeling framework that can effectively incorporate ES and low-carbon power generation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Partha Das, Amit Kanudia, Rohit Bhakar, Jyotirmay Mathur
Summary: This article presents a framework for capturing the spatial variation of solar and wind resources' potential within a region, which is useful for long-term energy system planning. The study utilizes Geographic Information System and statistical tools to quantify capacity and generation potential at the geographical grid-cell level. This information is incorporated into a high-resolution energy system planning model using an advanced bottom-up energy system modeling framework. The study focuses on the power sector in North India and analyzes the penetration and curtailment levels of renewable energy, technology capacity, and the role of storage and inter-regional energy exchange in various future energy transition scenarios. The results indicate a transition towards a high penetration of renewable energy in the generation portfolio, with solar energy curtailment being prominent in scenarios with high renewable energy penetration. Coal-based power plants remain important unless there is a high CO2 price. Storage systems function as energy arbitrage devices. The quantification of intra-regional renewable energy capacity and generation potential, as well as its incorporation into a long-term planning model with multiple annual time slices, contributes to current modeling practices. The analysis of different sensitivity cases adds value to long-term large-scale variable renewable energy integration planning approaches.
Article
Multidisciplinary Sciences
Kai Wirtz
Summary: This study examines the impact of societal responses on pandemics and the predictability of these responses. It suggests that mitigation measures such as social distancing can minimize the conflicting objectives of disease-related mortality and the consequences of mitigation. The study finds that the dynamic changes in readiness H affect the implementation of mitigation measures and the development of epidemics.
SCIENTIFIC REPORTS
(2021)
Article
Public, Environmental & Occupational Health
Xin Xie, Zefeng Tong, Shulin Xu
Summary: Risk attitude has a significant impact on household consumption behavior, with risk preference promoting consumption, especially enjoyment consumption. Risk neutrality promotes survival consumption, while risk aversion has an inhibitory effect on overall consumption behavior. Risk attitude remains an important factor in consumption behavior for male households. Age is a crucial factor in the relationship between risk attitude and consumption behavior, while education level does not play a role.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Engineering, Geological
Huafu Pei, Huaibo Song, Chao Zhou, Qing Yang, Da Xiao
Summary: This study investigates the long-term behavior of energy piles under cyclic thermomechanical loads. A cyclic t-z model is proposed to consider the interface strength evolution with the number of thermomechanical cycles. The model is validated with interface shear tests and in situ energy pile measurements, and the effects of model parameters on the long-term behavior of energy piles are evaluated.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Gastroenterology & Hepatology
Christine L. Zimmer, Iva Filipovic, Martin Cornillet, Colm J. O'Rourke, Lena Berglin, Hannes Jansson, Dan Sun, Otto Strauss, Laura Hertwig, Helene Johansson, Erik Seth, Ernesto Sparrelid, Joana Dias, Hans Glaumann, Espen Melum, Ewa C. Ellis, Johan K. Sandberg, Jesper B. Andersen, Annika Bergquist, Niklas K. Bjorkstrom
Summary: The study found that MAIT cells were heterogenously lost from intrahepatic and perihilar cholangiocarcinoma tumors possibly in response to increased bacterial burden, while the residual intratumoral MAIT cells exhibited preserved receptor repertoire for interaction with tumor cells. The high presence of MAIT cells in the livers of iCCA patients predicted long-term survival and was associated with a favorable antitumor immune signature.
Article
Energy & Fuels
Zihui Lin, Dagang Li, Yuntao Zou
Summary: This study investigates the energy efficiency as a measure of a battery's adeptness in energy conversion, revealing a predominantly linear trend in efficiency trajectories over the battery lifespan. Factors such as ambient temperature, discharge current, and cutoff voltage are found to affect energy efficiency in different ways. These findings can help Battery Management Systems (BMS) improve the energy efficiency of batteries.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Gondia Sokhna Seck, Gilles Guerassimoff, Nadia Maizi
Review
Green & Sustainable Science & Technology
Mathilde Drouineau, Edi Assoumou, Vincent Mazauric, Nadia Maizi
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2015)
Article
Energy & Fuels
Seungwoo Kang, Sandrine Selosse, Nadia Maizi
ENERGY STRATEGY REVIEWS
(2015)
Article
Energy & Fuels
Vincent Krakowski, Edi Assoumou, Vincent Mazauric, Nadia Maizi
Article
Thermodynamics
Paul Hugues, Edi Assoumou, Nadia Maizi
Article
Economics
Gondia Sokhna Seck, Gilles Guerassimoff, Nadia Maizi
Article
Economics
Sebastien Postic, Sandrine Selosse, Nadia Maizi
Article
Energy & Fuels
Seungwoo Kang, Sandrine Selosse, Nadia Maizi
INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY
(2017)
Article
Energy & Fuels
Sandrine Selosse, Olivia Ricci, Sabine Garabedian, Nadia Maizi
Article
Energy & Fuels
Gondia Sokhna Seck, Vincent Krakowski, Edi Assoumou, Nadia Maizi, Vincent Mazauric
Proceedings Paper
Energy & Fuels
Nadia Maizi, Vincent Krakowski, Edi Assoumou, Vincent Mazauric, Xiang Li
2016 THE 4TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE)
(2016)
Proceedings Paper
Energy & Fuels
Gratien Bonvin, Alfredo Samperio, Claude Le Pape, Vincent Mazauric, Sophie Demassey, Nadia Maizi
CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE
(2015)
Proceedings Paper
Energy & Fuels
Martin Coatalem, Vincent Mazauric, Claude Le Pape, Nadia Maizi
CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE
(2015)
Proceedings Paper
Green & Sustainable Science & Technology
Stephanie Bouckaert, Vincent Mazauric, Nadia Maizi
INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014
(2014)
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.