Article
Construction & Building Technology
Fan Feng, Yangyang Fu, Zhiyao Yang, Zheng O'Neill
Summary: This study aims to develop a model for PCM-integrated building envelopes that accurately simulates hysteresis behaviors. The model shows good agreement with experimental data during complete phase transitions and significantly improves performance compared to other PCM models during partial phase transitions. Whole building simulations demonstrate the model's effectiveness in predicting heating/cooling loads and zone mean air temperature.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Atef Chibani, Slimane Merouani, Houssem Laidoudi, Aissa Dehane, Larbi Bendada, Leila Lamiri, Ghania Mecheri, Cherif Bougriou, Noureddine Gherraf
Summary: The research explores the impact of nanoparticles-infused PCM in the context of nano-PCM-PV technology. The findings reveal the intricate relationship between nanoparticle addition, melting kinetics, electrical efficiency, and PCM enthalpy. The study also considers the influence of panel inclination angles.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Thermodynamics
Mohamed Teggar, Muslum Arici, Mehmet Selcuk Mert, Seyed Soheil Mousavi Ajarostaghi, Hakeem Niyas, Ekrem Tuncbilek, Kamal A. R. Ismail, Zohir Younsi, Amine Toufik Benhouia, El Hacene Mezaache
Summary: Enhancements in thermal storage materials can improve performance and reduce greenhouse gas emissions. Passive enhancements are cost-effective and low maintenance. Techniques at different scales have been used to improve thermal conductivity of PCMs, with discussions on effects, limitations and future research directions.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Thermodynamics
Sandro Nizetic, Miso Jurcevic, Duje Coko, Muslum Arici, Anh Tuan Hoang
Summary: This study investigated various PVT-PCM solar collector designs and analyzed the thermal properties of PCM materials used in these systems. Results showed that PVT-PCM collector design greatly impacts system efficiency, with electrical efficiency improvement usually less than 20% and thermal efficiency improvement up to 70%. Existing literature lacks in addressing the economic and environmental evaluation of PVT-PCM systems, highlighting the need for further research in this area.
Article
Chemistry, Multidisciplinary
Mikel Duran, Artem Nikulin, Angel Serrano, Jean-Luc Dauvergne, Yaroslav Grosu, Jalel Labidi, Elena Palomo del Barrio
Summary: Thermal management is important for protecting devices and enhancing their performance. This study presents a cost-effective method to produce PVDF fibers containing phase change materials (PCMs) for thermal management. The fibers were produced using a simplified microfluidic approach, resulting in hollow or core-shell PVDF fibers containing paraffin RT-28HC. The fibers exhibited a hierarchical porous structure with high latent heat and low thermal conductivity, making them suitable for thermal insulation applications.
Article
Thermodynamics
Fatih Selimefendigil, Hakan F. Oztop
Summary: In this study, numerical simulations were used to investigate the performance assessment of a PCM filled three-dimensional vertical cylinder under the combined effects of surface corrugation and presence of binary nanoparticles in the heat transfer fluid. Results showed that thermal transport features are enhanced and charging time is reduced for higher values of Reynolds number and solid volume fraction of the binary mixture in the heat transfer fluid.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Review
Green & Sustainable Science & Technology
T. Anfas Mukram, Joseph Daniel
Summary: The prime concern of the scientific community nowadays is high energy consumption and related greenhouse gas emissions. One of the major energy consumers is the building sector, which accounts for nearly 30% of total energy consumption. Researchers have suggested and implemented different cooling methods using phase change materials (PCMs) for building cooling. This article evaluates the application of PCM in building walls and bricks, highlighting the associated difficulties and possible alternatives.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Review
Chemistry, Multidisciplinary
Joseph D. Williams, G. P. Peterson
Summary: Phase change materials (PCMs) have garnered increased interest for their ability to absorb and store large amounts of thermal energy with minimal temperature variations. Current studies primarily focus on enhancing thermal conductivity and reducing charging/discharging times, with limited exploration into increasing latent heat and stability. Recommendations for further research include better understanding stability, identifying factors with greatest impact, and determining PCM combinations for significant increases in latent heat.
Article
Energy & Fuels
Josep Forner-Escrig, Nuria Navarrete, Roberto Palma, Damiano La Zara, Aristeidis Goulas, David Valdesueiro, J. Ruud van Ommen, Leonor Hernandez, Rosa Mondragon
Summary: Nanoencapsulated phase-change materials (nePCMs) were investigated to enhance thermal energy storage. SiO2 and Al2O3 coatings on Sn nanoparticles were synthesized to overcome the failure problem of the nanocapsule shells. Probabilistic numerical tools and thermomechanical finite-element model were used to study the influence of shell thickness and composition on the probability of failure (POF) and melting enthalpy loss in nePCMs. The results showed that multicoated nePCMs had better thermomechanical performance than single-coated nePCMs, with lower POF and melting enthalpy loss with increased shell thickness.
Article
Construction & Building Technology
I. Baskar, M. Chellapandian
Summary: A novel form stable phase change material (FSPCM) was developed for passive cooling techniques, and its efficiency in different roof setups was compared using real-time building models and temperature sensors. Detailed parametric analysis was performed to evaluate the performance.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Rebeca Salgado-Pizarro, Marc Martin, Adela Svobodova-Sedlackova, Alejandro Calder, Laia Haurie, Camila Barreneche
Summary: The use of adequate thermal energy storage systems has the potential to increase energy efficiency in various fields, including the building sector. Shape-stabilized phase change materials (SS-PCMs) have attracted attention for their ability to overcome the leakage issue of PCMs during the liquid state. However, SS-PCMs still need to address drawbacks such as poor fire reaction and thermal stability. This study presents a new shape-stabilized nano-enhanced phase change material (SS-NEPCM) that incorporates layered silicates to overcome these limitations. The experimental results showed improved thermal stability and fire resistance of the SS-NEPCM.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Construction & Building Technology
Yuxin Gao, Pengfei Ma, Baojun Cheng, Fan Sun, Jianmin Hua, Lepeng Huang
Summary: This study investigated the wind resistance of high-toughness cement-based composite (ECC) wall panels with large hollow rates. The results showed that ribbed wall panels performed better in terms of flexural behavior, crack resistance, and deformation resistance. Finite element analysis confirmed the correlation between test results and simulations, supporting the conclusion that these wall panels have reliable wind resistance and can be used in high-rise buildings.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Energy & Fuels
Khalid H. Almitani, Mashhour A. Alazwari, Muhammad Basha, Ahmed Khoshaim, Nidal H. Abu-Hamdeh, Arash Karimipour
Summary: Places like Saudi Arabia, with a desert climate, heavily rely on air conditioning in residential buildings. This study examines the impact of adding phase change materials to the walls to reduce cooling loads. The results indicate that the effectiveness of phase change materials depends on the difference between the melting temperature and the interior setpoint temperature. Different phase change materials with varying melting temperatures were tested, and the best performance was observed when the melting temperature was 2°C higher than the setpoint temperature.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Fernando Claudio Spengler, Rejane De Cesaro Oliveski, Luiz Alberto Oliveira Rocha, Cesare Biserni
Summary: This study parametrically analyzed the effect of extended surfaces' proportion and positioning on the melting process of lauric acid in an annular cavity. Numerical simulations were used to investigate 46 different geometric configurations. The results showed that systems with horizontal extensions had a 15% higher melting rate compared to systems with vertical extensions, and increasing the thinness of the extended surface reduced the overall melting time.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Yuelei Zhang, Hasan Sh. Majdi, Hayder A. Dhahad, Hosam A. Saad, Chenggang Hu, Amira M. Hussin
Summary: This article discusses the application of a trapezoidal enclosure with three-lobed inner cold wall and the use of finite element method to simulate an unsteady problem. The study explores the use of nano-powders to accelerate solidification and investigates the impact of alumina nano-powder shape on the process. The findings show a decrease in required time with the addition of nanoparticles to water, as well as a reduction in freezing period with a change in particle shape to platelet form.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Nemat Hossieny, Som S. Shrestha, Osei A. Owusu, Manuel Natal, Rick Benson, Andre Desjarlais
Article
Green & Sustainable Science & Technology
Areej T. Almalkawi, Parviz Soroushian, Som S. Shrestha
Article
Materials Science, Multidisciplinary
Kaushik Biswas, Dustin Gilmer, Natasha Ghezawi, Peng-Fei Cao, Tomonori Saito
Article
Energy & Fuels
Kaushik Biswas, Som Shrestha, Diana Hun, Jerald Atchley
Article
Physics, Applied
Tianli Feng, Jixiong He, Amit Rai, Diana Hun, Jun Liu, Som S. Shrestha
PHYSICAL REVIEW APPLIED
(2020)
Article
Chemistry, Multidisciplinary
Jan Kosny, William Anthony Miller, David Yarbrough, Elisabeth Kossecka, Kaushik Biswas
APPLIED SCIENCES-BASEL
(2020)
Article
Construction & Building Technology
Zhenglai Shen, Hongyu Zhou, Som Shrestha
Summary: This paper introduces a life-cycle cost informed co-design framework for building structures and envelope systems, demonstrated through a case study of a medium-size office building in three locations with diverse climate conditions and seismic activities. The results highlight the importance of considering the interplay between building's structural performance and energy-saving design options in different environmental contexts.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Energy & Fuels
Rohit Jogineedi, Kaushik Biswas, Som Shrestha
Summary: This research article investigates the behavior of phase change materials during interrupted melting and freezing processes through experimental testing. The findings suggest that different numerical models can capture interrupted phase change phenomena with varying degrees of accuracy, highlighting the need for additional experimental research on phase change processes in building applications.
Article
Polymer Science
Meghan E. Lamm, Kai Li, Jerald Atchley, Som S. Shrestha, Shannon M. Mahurin, Diana Hun, Tolga Aytug
Summary: This study reports a simple and commercially viable strategy to produce thermoplastic composite foams for thermal insulation applications. By incorporating porous-shell hollow-interior glass spheres (PHGS) as a filler and utilizing expandable thermoplastic microspheres (EMS) as a physical blowing agent, the resulting foams demonstrate both low thermal conductivity and lightweight mechanical reinforcement. The optimized foam formulation achieved a lightweight and robust insulation material with thermal resistivity greater than 27.7 m center dot K/W (R/in. > 4), comparable to some commercial thermoplastic insulating materials.
Article
Construction & Building Technology
Zhenglai Shen, Som Shrestha, Daniel Howard, Tianli Feng, Diana Hun, Buxin She
Summary: This study proposes a method to reduce the computational cost of thermally anisotropic building envelopes (TABEs) using a finite element-based machine learning framework. Different thermal loop schedules were simulated using finite element models to generate a training data set, and shallow and deep learning models were trained to predict the heat fluxes. The results show that XGBoost can achieve similar accuracy as the deep neural network model but with much less training time, and it can significantly reduce the computation time and achieve energy cost savings.
BUILDING AND ENVIRONMENT
(2023)
Article
Thermodynamics
Som S. Shrestha, Janak Tiwari, Amit Rai, Diana E. Hun, Daniel Howard, Andre O. Desjarlais, Mathieu Francoeur, Tianli Feng
Summary: In the past few decades, there have been significant efforts to understand and improve thermal transport mechanisms in thermal insulation materials. However, most of the research has focused on specific materials and used diverse models for thermal conductivity predictions, which may not be applicable to other materials. This study aims to improve and unify the thermal conductivity models for gas and solid in porous materials. The refined models are validated through experimental characterization and literature data. The study also provides insights into the relative contributions of gas, solid, and radiation to the effective thermal conductivity of different thermal insulation materials.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Energy & Fuels
Niraj Kunwar, Mikael Salonvaara, Emishaw Iffa, Som Shrestha, Diana Hun
Summary: This paper discusses the energy performance, peak demand reduction potential, and performance characteristics of an active insulation system (AIS) that uses a concrete wall as thermal mass. The experimental results show that AIS can achieve energy savings in different climate zones.
Proceedings Paper
Construction & Building Technology
Som S. Shrestha, Diana Hun, Craig Moss
WHOLE BUILDING AIR LEAKAGE: TESTING AND BUILDING PERFORMANCE IMPACTS
(2019)
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.
