Article
Chemistry, Physical
Jing Jiang, Liwei Zhang, Xuan Wen, Esmaeil Valipour, Sayyad Nojavan
Summary: This paper proposes an optimal scheduling method using an energy hub system to increase the reliability of power systems, reducing operational costs and risk levels by considering load shifting strategies and demand response programs.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Mihaly Dolanyi, Kenneth Bruninx, Jean-Francois Toubeau, Erik Delarue
Summary: This paper presents a time-series scenario-driven stochastic optimization model for the centralized optimal bidding and scheduling problem of an energy community, using real-life measurement data. The research extends existing models by implementing a worst-case conditional value at risk (WCVaR) constraint for storage system state-of-charge bounds. A numerical comparison shows that the proposed WCVaR based constraint provides better protection against extreme out-of-sample outcomes compared to the conditional value at risk based equivalent. Real-life measurement data is directly leveraged for uncertainty in the imbalance market and load forecast errors, using a shape-based clustering method to capture the temporal characteristics of input scenarios.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Computer Science, Interdisciplinary Applications
Junyi Deng, Qun Guo
Summary: A virtual power plant is a decentralized energy management system that aggregates and schedules distributed energy resources to provide higher reliability and safety. This study proposes a risk-oriented stochastic optimization method to explore market uncertainties and maximize profit. The results show that risk-averse decisions can lower costs and revenue for the virtual power plant, resulting in an 8.62% decrease in overall profit.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Dingnan Xie, Qun Guo, Xiaodan Liang, Kittisak Jermsittiparsert
Summary: This study proposed a risk-measure method called downside risk constraints (DRC) for CAES operators to manage uncertain parameters' imposed risks in stochastic optimization. By using the DRC, a strategy with equal profit in all scenarios can be obtained, leading to a reduction in expected profit by 7.2% while eliminating the risk-in-profit by 100%.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Qun Guo, Yanling Ni, Chen Liu, Xinchi Wang, Sayyad Nojavan
Summary: This paper introduces a novel and efficient risk management approach called the downside risk constraints approach to address the uncertainties faced by new players such as home energy management systems in power systems restructuring. The approach models the uncertain nature of electricity market price and heat demands using stochastic optimization and minimizes the associated risk cost. The results show that the risk cost can be reduced to 0 by employing the downside risk constraints approach, with an additional 7.89% cost. The proposed mixed-integer-linear-based apartment building model is solved using the General Algebraic Modeling System (GAMS) platform.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Behnam Talebjedi, Timo Laukkanen, Henrik Holmberg, Sanna Syri
Summary: This study introduces a novel approach for the heat integration of a thermo-mechanical pulp mill and paper machine using Energy Hub. The advanced cost-efficient design and operation of the Energy Hub are investigated in this research by integrating thermo-economic analysis, reliability & availability assessment, and load profile prediction. Different state-of-the-art long-short-term memory (LSTM) neural network models have been developed to achieve the best time series model for refining heat prediction in the thermomechanical pulp mill.
APPLIED THERMAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Kamyar Kargar, Ali Irfan Mahmutogullari
Summary: This study presents risk-neutral and risk-averse two-stage stochastic formulations for the uncapacitated multiple allocation p-hub median problem and validates the effectiveness of the proposed algorithm through computational experiments.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Mathematics, Applied
Weiping Wu, Ke Zhou, Zhicheng Li, Zhenpeng Tang
Summary: Despite the long-standing agreement that interest rates are driven by a stochastic process, the majority of existing research on dynamic mean-downside risk portfolio optimization has focused on deterministic interest rates. This study investigates a continuous-time mean-downside risk portfolio optimization problem with a stochastic interest rate. By employing the Vasicek interest rate model and common downside risk measures such as lower partial moments (LPM), value-at-risk (VaR), and conditional value-at-risk (CVaR), we derive semi-analytical optimal portfolio policies and optimal wealth processes for mean-downside risk measures with stochastic interest rates using the martingale method and inverse Fourier Transformation. Finally, illustrative examples are provided to demonstrate how stochastic interest rates affect the investment behavior of investors with mean-downside risk preferences.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Article
Operations Research & Management Science
Bo Li, Antonio Arreola-Risa
Summary: This article explores the problem of minimizing the total cost for a risk-averse company, finding that the total cost CVaR is convex in the base-stock level and increases with higher risk aversion. The research results lead to a relatively simple method for determining optimal base-stock levels for practical applications, and identify the impact of various factors on these levels.
NAVAL RESEARCH LOGISTICS
(2021)
Article
Engineering, Electrical & Electronic
V. V. Thang, Thanhtung Ha, Qinhao Li, Yongjun Zhang
Summary: This paper proposes a stochastic scheduling framework for multi-energy hub systems to optimize the operation cost and reduce CO2 emissions. By modeling uncertainties and employing clustering and scenario reduction techniques, the computational burden is reduced and the system operation is optimized.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Construction & Building Technology
Jamal Faraji, Hamed Hashemi-Dezaki, Abbas Ketabi
Summary: This paper introduces a new stochastic optimization method considering different configurations of energy hubs and uncertainties of distributed renewable energy sources. Comparisons with existing deterministic and probabilistic methods show the advantages of the proposed method, highlighting the potential inaccuracies that could occur due to disregarding different configurations.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Green & Sustainable Science & Technology
Chong Meng, Siyang Zhou, Wei Li
Summary: The study focuses on optimizing water resource allocation in the Fenhe River Basin for four primary water use sectors. Results show that pollutant emissions decrease with higher risk aversion levels, and increasing water allocation for agriculture while reducing ecological water indicates agriculture faces the greatest water shortage and risk. Coordination of water resources improves comprehensive benefits and reduces sectoral risks.
Article
Engineering, Electrical & Electronic
Monika Sandelic, Ariya Sangwongwanich, Frede Blaabjerg
Summary: To ensure optimal and economical battery operation, it is essential to consider its lifetime-limiting factors such as performance degradation and degradation costs. This letter proposes an incremental degradation cost estimation method for optimal real-time battery operation that enables the evaluation of battery degradation during real-time operation under various operating conditions.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Energy & Fuels
Salman Habib, Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Ilhami Colak, El Manaa Barhoumi
Summary: Increasing electrical energy use has led to the development of power systems. This paper proposes a mutant version of the honey bee mating optimization algorithm for solving the economic-emission dispatch problem. The algorithm improves the efficiency and balance of the standard algorithm by using an adaptive nonlinear system.
Article
Environmental Sciences
Chong Meng, Wei Li, Runhe Cheng, Siyang Zhou
Summary: The study focuses on challenges such as water pollution and scarcity, aiming to optimize resource allocation with a model to meet watershed needs. Results indicate that agriculture faces the highest water shortage and risk, but water reuse can help reduce risks and increase benefits.
Article
Energy & Fuels
Nadja Lakovic, Afrasyab Khan, Biljana Petkovic, Dalibor Petkovic, Boris Kuzman, Sead Resic, Kittisak Jermsittiparsert, Sikander Azam
Summary: In this study, a soft computing model ANFIS was used to predict the higher heating value of biomass. The analysis showed that the ash percentage weight had the highest relevance to the biomass's higher heating value.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Energy & Fuels
Momir Milic, Biljana Petkovic, Abdellatif Selmi, Dalibor Petkovic, Kittisak Jermsittiparsert, Aleksandar Radivojevic, Milos Milovancevic, Afrasyab Khan, Sladana T. Vidosavljevic, Nebojsa Denic, Boris Kuzman
Summary: This study optimized the predictors for fatty acid methyl ester yield and exergy efficiency in situ transesterification process. The results showed that the optimal combination for fatty acid methyl ester yield was ultrasonic power and reaction time, while the optimal combination for exergy efficiency was concentrations of methanol and chloroform in oil. These optimized predictors effectively improved the fatty acid methyl ester yield and exergy efficiency.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Green & Sustainable Science & Technology
Norazah Mohd Suki, Norbayah Mohd Suki, Arshian Sharif, Sahar Afshan, Kittisak Jermsittiparsert
Summary: The study found that the consumption of renewable energy and technological innovation helps reduce environmental degradation, validating the Environmental Kuznets Curve hypothesis. These results provide a benchmark for policymakers to encourage more investment in renewable energy production and technology innovation in the Malaysian economy.
Article
Nanoscience & Nanotechnology
Arun Jana, Shreeya Rane, Palash Roy Choudhury, Dibakar Roy Chowdhury
Summary: Experimental investigation has shown that ferroelectric multiferroic BiFeO3 film can dynamically modulate the amplitude of terahertz signals under electric fields, indicating potential for futuristic terahertz devices.
Article
Green & Sustainable Science & Technology
Rimma N. Abdrashitova, Marsel A. Kadyrov
Summary: This study aims to identify whether natural or man-caused factors have a dominant impact on the variable groundwater salinity of the Lower Jurassic sediments in the Talinskoye oilfield of West Siberia in Russia. The findings suggest that the major factors affecting the variability in groundwater salinity are natural ones, as evidenced by the genetic coefficients and the tight associations with geological parameters.
Article
Energy & Fuels
Fadis Murzakhanov, Andrey Ponomarev, Mohammed A. Khelkhal, Ouassil Amziane, Alexey V. Vakhin, Marat Gafurov
Summary: Heavy and extra-heavy oil are attracting attention as potential replacements for light oil in the near future. Enhanced oil recovery (EOR) methods, including electromagnetic heating, are being developed to effectively exploit unconventional oil sources. This study investigates the effectiveness and mechanisms of electromagnetic heating on heavy oil conversion, using pulsed and high-frequency electron paramagnetic resonance (EPR) techniques.
Article
Geosciences, Multidisciplinary
Andrey A. Ponomarev, Marsel A. Kadyrov, Marat R. Gafurov, Mikhail D. Zavatsky, Vitaliya O. Naumenko, Tatiana S. Nurullina, Yuri V. Vaganov
Summary: We compared the geochemical behaviors of soluble organic matter in the Bazhenov suite rocks heated with and without a 50-mT magnetic field. Significant differences in geochemical characteristics were observed, including the content of naphthene fractions. The study suggests the use of magnetic catalysts combined with thermal treatments to enhance oil recovery from high-viscosity oil reservoirs and proposes a hypothesis about the impact of natural geomagnetic fields on the geochemical evolution of petroleum.
PHYSICS AND CHEMISTRY OF THE EARTH
(2023)
Article
Green & Sustainable Science & Technology
A. A. I. N. Marhaeni, Kittisak Jermsittiparsert, Lucia Rita Sudarmo, Lucia Rita Indrawati, Andjar Prasetyo, Noviati Fuada, Arnis Rachmadhani, Tri Weda Raharjo, Heri Wahyudianto, Bekti Putri Harwijayanti, Jonni Sitorus, Mochammad Fahlevi, Mohammed Aljuaid
Summary: This study examines people's behavior in financial transactions and the practice of rural credit banks in promoting a green economy. The results indicate that using paper for savings transactions supports green economic initiatives. Additionally, the use of branchless banking demonstrates the penetration of financial literacy in the community.
Article
Green & Sustainable Science & Technology
Pannee Suanpang, Pitchaya Jamjuntr, Phuripoj Kaewyong, Chawalin Niamsorn, Kittisak Jermsittiparsert
Summary: This paper proposes an intelligent public-accessible charging station framework based on Spatio-Temporal Multi-Agent Reinforcement Learning (STMARL), considering long-term spatio-temporal parameters. The framework aims to reduce the overall charging wait time, average charging price, and charging failure rate for electric vehicles (EVs).
Article
Thermodynamics
Nima Javanshir, Sanna Syri, Seela Tervo, Argo Rosin
Summary: The stochastic nature of renewable energy resources poses a challenge in balancing supply and demand in the power grid, and district heating networks equipped with power-to-heat technologies and thermal storage can provide balancing services. However, the participation of district heating networks in multiple energy markets and optimizing revenue has not been thoroughly studied.
Article
Chemistry, Organic
V. O. Naumenko, M. D. Zavatsky, A. Yu. Belonosov, A. A. Ponomarev
Summary: The study investigates the impact of lithological composition on the concentrations of methane, olefins, and hydrogen in the Western Siberia permafrost zone. The distribution of hydrocarbon and non-hydrocarbon components in this zone is found to be inhomogeneous. Chromatographic analysis of 199 samples from six core holes confirms that gas concentrations decrease at lithological interfaces but have no effect on the distribution of components within individual beds. This phenomenon suggests a new concept of geochemical shield instead of the geochemical barrier concept.
PETROLEUM CHEMISTRY
(2023)
Retraction
Energy & Fuels
Nadja Lakovic, Afrasyab Khan, Biljana Petkovic, Dalibor Petkovic, Boris Kuzman, Sead Resic, Kittisak Jermsittiparsert, Sikander Azam
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Engineering, Environmental
Amirreza Javaherian, Nima Ghasemzadeh, Nima Javanshir, Mortaza Yari, Mohammad Vajdi, Hossein Nami
Summary: In this research, a dual-source multigeneration energy system is designed and analyzed. The system can supply stable power and reduce environmental pollution. Multi-objective optimizations are conducted to obtain the best-operating conditions. The results show that the system has high energy and exergy efficiencies, low carbon dioxide emission, and a relatively short payback period.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Tropical Medicine
Roy Rillera Marzo, Waqas Sami, Md Zakiul Alam, Swosti Acharya, Kittisak Jermsittiparsert, Karnjana Songwathana, Nhat Tan Pham, Titik Respati, Erwin Martinez Faller, Aries Moralidad Baldonado, Yadanar Aung, Sharmila Mukund Borkar, Mohammad Yasir Essar, Sunil Shrestha, Siyan Yi
Summary: The study explores public perception regarding COVID-19 vaccination in six Southeast Asian countries and identifies factors associated with vaccine hesitancy. The majority of participants were optimistic about the effectiveness of the vaccine and willing to receive it, but about half expressed hesitancy. Hesitancy was associated with socioeconomic factors and varied by country.
TROPICAL MEDICINE AND HEALTH
(2022)
Article
Business, Finance
Waseem Ul Hameed, Muhammad Haseeb, Jawad Iqbal, Leonardus W. W. Mihardjo, Kittisak Jermsittiparsert
Summary: The study investigates the role of microfinance institutions in promoting women's self-sustainability in Pakistan. The results show that microfinance institutions play an essential role in women's self-reliance, but environmental disasters limit their positive contribution.
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
(2022)
Article
Thermodynamics
Hai Zhao, Puzhen Gao, Xiaochang Li, Ruifeng Tian, Hongyang Wei, Sichao Tan
Summary: This study numerically investigates the interaction between flow-induced vibration and forced convection heat transfer in a tube bundle. The results show that the impact of flow-induced vibration on heat transfer varies in different flow velocity regions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rohit Chintala, Jon Winkler, Sugirdhalakshmi Ramaraj, Xin Jin
Summary: The current state of fault detection and diagnosis for residential air-conditioning systems is expensive and not suitable for widespread implementation. This paper proposes a cost-effective solution by introducing an automated fault detection algorithm as a screening step before more expensive tests can be conducted. The algorithm uses home thermostats and local weather information to identify thermodynamic parameters and detect high-impact air-conditioning faults.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
A. Azimi, N. Basiri, M. Eslami
Summary: This paper presents a novel optimization algorithm for improving the water-film cooling system of photovoltaic panels, resulting in a significant increase in net energy generation.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Duc-Thuan Phung, Chin-Hsiang Cheng
Summary: In this study, a novel CFDMD model is used to analyze and investigate the behavior of thermal-lag engines (TLE). The study shows that the CFDMD model effectively captures the thermodynamic behavior of the working gas and the dynamic behavior of the engine mechanism. Additionally, the study explores the temporal evolution of engine speed and the influence of various parameters on shaft power and brake thermal efficiency. The research also reveals the existence of a thermal-lag phenomenon in TLE.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Haiying Yang, Yinjie Shen, Lin Li, Yichen Pan, Ping Yang
Summary: The purpose of this article is to find a measure to improve the interfacial thermal transfer of graphene/silicon heterojunction. Through molecular dynamics simulation, it is found that surface modification can significantly reduce the thermal resistance, thereby improving the thermal conductivity of the graphene/silicon interface.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Qiong Wu, Yancheng Wang, Haonan Zhou, Xingye Qiu, Deqing Mei
Summary: This article introduces a visible methanol steam reforming microreactor, which uses an optical crystal as an observation window and measures the reaction temperature in real-time using infrared thermography. The results show that under lower oxygen to carbon ratio conditions, the microreactor has a higher heating rate and a stable gradient in temperature distribution.
APPLIED THERMAL ENGINEERING
(2024)
Review
Thermodynamics
Giulia Manco, Umberto Tesio, Elisa Guelpa, Vittorio Verda
Summary: In the past decade, there has been a growing interest in studying energy systems for the combined management of power vectors. Most of the published works focus on finding the optimal design and operations of Multi Energy Systems (MES). However, for newcomers to this field, understanding how to achieve the desired optimization details while controlling computational expenses can be challenging and time-consuming. This paper presents a novel approach to analyzing the existing literature on MES, with the aim of guiding practical development of MES optimization. Through the discussion of six case studies, the authors provide a mathematical formulation as a reference for building the model and emphasize the impact of different aspects on the problem nature and solver selection. In addition, the paper also discusses the different approaches used in the literature for incorporating thermal networks and storage in the optimization of multi-energy systems.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xuepeng Yuan, Caiman Yan, Yunxian Huang, Yong Tang, Shiwei Zhang, Gong Chen
Summary: In this study, a multi-scale microgroove wick (MSMGW) was developed by laser irradiation, which demonstrated superior capillary performance. The surface morphology and performance of the wick were affected by laser scan pitch, laser power, repetition frequency, and scanning speed. The MSMGW showed optimal capillary performance in alumina material and DI water as the working fluid.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Maofei Mei, Feng Hu, Chong Han
Summary: This paper proposes an effective local search method based on detection of droplet boundaries for understanding the dynamic process of droplet growth during dropwise condensation. The method is validated by comparing with experimental data. The present simulation provides an effective approach to more accurately predict the nucleation site density in future studies.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rahul Kumar Sharma, Ashish Kumar, Dibakar Rakshit
Summary: The study explores the use of phase change materials (PCM) as a retrofit with Heating Ventilation and Air-conditioning systems (HVAC) to reduce energy consumption and improve air quality. By incorporating PCM with specific thickness and fin configurations, significant energy savings can be achieved in comparison to standard HVAC systems utilizing R134a. This research provides policymakers with energy-efficient and sustainable solutions for HVAC systems to combat climate change.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Zhenhua Ren, Xiangjin Meng, Xingang Qi, Hui Jin, Yunan Chen, Bin Chen, Liejin Guo
Summary: This paper investigates the heat transfer mechanism and factors influencing thermal radiation in the process of supercritical water gasification (SCWG) of coal, and proposes a comprehensive numerical model to simulate the process. Experimental validation results show that thermal radiation accounts for a significant proportion of the total heat exchange in the reactor and a large amount of radiant energy exists in the important spectral range of supercritical water. Enhancing radiative heat transfer can effectively increase the temperature of the reaction medium and the gasification rate.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Mauro Abela, Mauro Mameli, Sauro Filippeschi, Brent S. Taft
Summary: Pulsating Heat Pipes (PHP) are passive two-phase heat transfer devices with a simple structure and high heat transfer capabilities. The actual unpredictability of their dynamic behavior during startup and thermal crisis hinders their large-scale application. An experimental apparatus is designed to investigate these phenomena systematically. The results show that increasing the number of evaporator sections and condenser temperature improves the performance of PHP. The condenser temperature also affects the initial liquid phase distribution and startup time.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Ke Gan, Ruilian Li, Yi Zheng, Hui Xu, Ying Gao, Jiajie Qian, Ziming Wei, Bin Kong, Hong Zhang
Summary: A 3-dimensional enhanced heat pipe radiator has been developed to improve heat dissipation and temperature uniformity in cooling high-power electronic components. Experimental results show that the radiator has superior heat transfer performance compared to a conventional aluminum fin radiator under different heating powers and wind speed conditions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xinyi Zhang, Shuzhong Wang, Daihui Jiang, Zhiqiang Wu
Summary: This study focuses on recovering waste heat from blast furnace slag using dry centrifugal pelletizing technology. A comprehensive two-dimensional model was developed to analyze heat transfer dynamics and investigate factors influencing heat exchange efficiency. The findings have important implications for optimizing waste heat recovery and ensuring safe operations.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xincheng Wu, An Zou, Qiang Zhang, Zhaoguang Wang
Summary: The boosting heat generation rate of high-performance processors is challenging traditional cooling techniques. This study proposes a combined design of active jet intermittency and passive surface modification to enhance heat transfer.
APPLIED THERMAL ENGINEERING
(2024)
