Article
Environmental Sciences
Swathi Murthy, Cristian Picioreanu, Michael Kuehl
Summary: Reef building corals have complex structures to maximize photosynthesis while minimizing damage and stress. A multiphysics modeling approach was used to simulate the internal environment of corals, including light, temperature, and oxygen distribution. The model results were consistent with spatial measurements, providing insights into the effect of coral morphology and light scattering on the coral's internal environment.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Thermodynamics
Mohammad Hemmat Esfe, Mousa Rejvani, Davood Toghraie
Summary: The article discusses the efficiency of nanofluids and the thermal performance factor, using Artificial Neural Networks for modeling and predicting experimental data. The results show that ANN has better agreement with experimental data in estimating data at high Reynolds numbers.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Engineering, Chemical
Ziqing Lao, Yuanchuan Shao, Xi Gao
Summary: A multiscale computational fluid dynamics model was developed for high-temperature biomass pyrolysis, and a detailed multistep kinetic scheme was used to establish the pyrolysis kinetics model. The study found that the nonisothermal model with tar cracking performed the best for biomass pyrolysis.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Thermodynamics
Osman Yeler, Mehmet Fevzi Koseoglu
Summary: This study developed a comprehensive mathematical model of a thermoelectric infant incubator with a modular thermoelectric heat pump system, which accurately simulated the heat and mass exchange processes within the system. By integrating this system into a commercial neonatal incubator and comparing the results with experimental data and literature, the accuracy of the model was demonstrated.
APPLIED THERMAL ENGINEERING
(2021)
Article
Mechanics
S. Mukherjee, P. C. Mishra, P. Chaudhuri, N. Ali, S. A. Ebrahim
Summary: An experimental study was conducted to investigate the thermal performance of water/titania nanofluid under nucleate pool boiling. The results showed an increase in heat transfer coefficient as heat flux and weight concentration increased, but the enhancement decreased at higher weight concentrations. New correlations with high prediction accuracies were proposed to relate wall superheat temperature with heat flux and heat transfer coefficient.
Article
Engineering, Chemical
Chaitanya. A. A. Kavale, Niket. S. S. Kaisare, Himanshu Goyal
Summary: This study uses the volume averaging technique to convert pointwise governing equations into averaged equations for porous domain, in order to simulate catalytic monolith reactions. The traditional porous medium assumption leads to significant errors when dealing with catalytic reactions, but a technique to accurately calculate reaction rates has been proposed. The results show that this method reduces computational cost while maintaining accuracy.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Polymer Science
Haneen Abdelrazeq, Majeda Khraisheh
Summary: This study discusses the linear relationship between permeate flux and bulk feed temperature for different electrospun polystyrene membranes. The effects of membrane porosity on thermal efficiency and evaporation efficiency of the DCMD system are examined. The results show that increasing membrane porosity leads to improved thermal and evaporation efficiencies.
Article
Engineering, Chemical
Xiaoge Zhang, Youjun Lu
Summary: This work presents two dynamic models of the supercritical water fluidized bed, and compares their performance. The 1.5D model shows lower error in hydrogen molar fraction and stabilizes faster with higher steady-state values. The study also finds that coal-to-water ratios and supercritical water temperature affect the gasification process.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Engineering, Mechanical
Sasa M. Kalinovic, Jelena M. Djokovic
Summary: This paper analyzes the dynamic thermal performance of multilayer insulation walls in residential buildings in Serbia to determine good thermal characteristics for building residential structures with high energy efficiency. The study found that differences in individual layer thicknesses in walls with similar structures affect the external temperature variation shift, while the position of the thermal insulation layer has less impact on temperature oscillation caused by outside temperature changes. Changing the wall structure significantly influences thermal capacity, providing the possibility to choose the optimal solution for the highest energy efficiency in wall structures.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2021)
Article
Thermodynamics
Hong-Qing Jin, Shantanu Shahane, Yuheng Zhang, Sophie Wang, Kashif Nawaz
Summary: A model was developed to predict the crystallization fouling process during seawater falling-film flow over a horizontal tube bundle, showing that the scaling layer thickness increases with increased in-tube steam pressure or decreased seawater flow rate, and the effect of tube material on scaling mainly depends on thermal conductivity.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Alessio Sapienza, Vincenza Brancato, Yuri Aristov, Salvatore Vasta
Summary: In this study, plastic adsorbent heat exchangers were developed using 3D printing technology and experimentally tested for adsorption cooling applications. Results showed that the plastic adsorbers are competitive with metallic ones in terms of both thermodynamic and dynamic performance, with significant mass reduction and the ability to manufacture complex geometries. Under the tested operating conditions, the plastic adsorbers delivered a specific cooling power of 1.88-2.40 kW per kg of dry sorbent, while metallic adsorbers reached 2.34 kW/kg.
APPLIED THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Qi Zhou, Peng Wang, Kede Wu, Junxiang Cao, Hongyu Zhang, Yayun Zhang, Bo Niu, Donghui Long
Summary: This study establishes finite element analysis models to systematically reveal the heat transfer characteristics of multilayer insulation (MLI) and confirms the feasibility of optimizing thermal insulation performance based on these models.
APPLIED THERMAL ENGINEERING
(2022)
Article
Engineering, Chemical
Maoren Wang, Li Liu, Changlong Xu, Liang Di
Summary: A numerical model was established to investigate the coupled heat and mass transfer process during thermal desorption of oil-based drill cuttings. The study found that the operating parameters had interactive effects on the mass and heat transfer of the cuttings, and the desorption process was not individual but mixed alternately.
Article
Thermodynamics
Yaohua Zhao, Yubo Wang, Zhenhua Quan, Lincheng Wang, Yuchen Zhang, Qianwen Zhang
Summary: In this paper, a novel micro heat pipe array-phase change thermal storage device (MHPA-PCTSD) with a highly rational heat transfer structure is proposed to improve the thermal storage rate. Numerical modeling and analysis show that the arrangement of the MHPA on both sides of the HTF channel (Type B) has a significant advantage over traditional arrangements, achieving better temperature uniformity and lower thermal resistance.
APPLIED THERMAL ENGINEERING
(2024)
Article
Engineering, Chemical
Hong-Qing Jin, Hrushikesha Athreya, Aditi Kalle, Sophie Wang, Kashif Nawaz
Summary: The integration of a CO2 desorption model into CFD modeling allows for the prediction of scale formation and CO2 desorption with local and transient profiles of temperature, carbonate species concentrations, pH, and total alkalinity. Simulation results show that high steam temperatures increase seawater total alkalinity and accelerate scale formation. The thickness of the scale on the bottom tube reaches 0.30 μm and 5.24 μm for steam temperatures of 60 degrees C and 80 degrees C, respectively. High salinity leads to a larger CO2 desorption rate, with a 43% increase when seawater salinity increases from 35 to 55 g/kg. The effects of operating conditions on carbonate speciation and pH have been compared and analyzed. This model can be a useful tool for the design and optimization of thermal desalination systems.
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)