Review
Engineering, Environmental
Mohammad Ja'fari, Muhammad Imran Khan, Sami G. Al-Ghamdi, Artur J. Jaworski, Faisal Asfand
Summary: In energy intensive industries, the use of ORC technology for waste heat recovery can enhance energy efficiency, reduce carbon emissions, and provide a solution for energy saving in the iron and steel sector, contributing to the fight against climate change.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
Yannic Vaupel, Wolfgang R. Huster, Adel Mhamdi, Alexander Mitsos
Summary: The study focuses on optimizing operational strategies and designing control policies to reduce losses by operating under minimal superheat conditions, and discusses how flexible superheat operation policies can reduce losses when the expander power is limited, providing insights for safe and efficient operation in street traffic.
Article
Engineering, Marine
Long Lyu, Ankang Kan, Wu Chen, Yuan Zhang, Bingchun Fu
Summary: This paper introduced an environmental method of generating electricity by recovering waste heat from a marine main engine, using organic Rankine cycle (ORC) technology to minimize carbon dioxide emissions for ships. The study analyzed the impact of various engine loads and operating times on the performance of the ORC system using three different dry-type substances. The results showed that Cyclohexane provided net power while Benzene was more efficient in terms of thermal efficiency. The study also provided emission data based on a voyage cycle of a container ship.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Thermodynamics
Ke Xue, Jinjiao Wang, Xiaoping Zhu, Shengyu Ma, Jiale Fan, Ruiming Zhao
Summary: In this study, the energy and exergy of the organic Rankine cycle driven by steel slag waste heat and solar energy were analyzed for various system configurations. The effects of various factors on the solar organic Rankine cycle system were analyzed, and the results showed the optimal solar collector area and the impact of working fluid superheat and flow rate on the system efficiency.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Engineering, Environmental
Chanyeong Park, Seonho Lee, Jechan Lee
Summary: The type of thermochemical agent greatly influences the conversion process, with CO2 promoting the cracking of volatile species in Wood pellets. Waste mulching film (WMF) added to the process lowers oxygen content, suppresses methanation, and decreases harmful compound yields, while increasing fuel-range hydrocarbons.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Thermodynamics
Yao Shi, Runze Lin, Xialai Wu, Zhiming Zhang, Pei Sun, Lei Xie, Hongye Su
Summary: This article proposes a dual-mode fast dynamic matrix control (FDMC) algorithm based on singular value decomposition (SVD) and dynamic matrix control (DMC) to address the issue of long computation time in model predictive control (MPC) for organic Rankine cycle (ORC) systems. The simulations demonstrate the effectiveness and rapidity of the proposed algorithm in ensuring tracking performance while improving calculation speed.
Article
Thermodynamics
Merve Gul Civgin, Cengiz Deniz
Summary: The study analyzed the dual-loop organic Rankine cycle system utilizing different sources of waste heat for ship efficiency. Different working fluid combinations were evaluated to reduce carbon dioxide emissions and fuel consumption, with the second model proving more suitable for high main engine load.
APPLIED THERMAL ENGINEERING
(2021)
Article
Engineering, Environmental
Seonho Lee, Tak Hyun You, In Sun Cho, Jechan Lee
Summary: Proper treatment and upcycling of decomposable plastic waste have gained increasing attention. In this study, tricalcium phosphate (TCP) catalyst was used to convert decomposable polylactic acid (PLA) straw waste (PLASW) into lactic acid. The TCP catalyst significantly improved the lactic acid recovery yield, especially under the CO2 environment. The presence of base sites on the TCP catalyst promoted hydrogen transfer reaction for selective PLA bond cleavage.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Farhad Salek, Meisam Babaie, Mohammad Mahdi Naserian, Mohammad Hossein Ahmadi
Summary: This study evaluates the energy of an industrial turbocharged diesel engine integrated with a novel waste heat recovery system. The waste heat is recovered through the inverted Brayton cycle (IBC) and used as a heat source for the organic Rankine cycle (ORC) to generate additional power. The results show an increase in system power by about 18%, but also an increase in backpressure, resulting in a slight decrease in fuel efficiency and total thermal efficiency.
Article
Energy & Fuels
Luigi Falbo, Diego Perrone, Pietropaolo Morrone, Angelo Algieri
Summary: The study analyzes a novel integrated energy system for small-scale combined heat and power generation, consisting of a biodiesel ICE and a TORC for waste-heat recovery. A mathematical model is developed to evaluate the system's performances at full and partial load, showing a certain level of energy saving potential.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Review
Engineering, Chemical
Jose C. Jimenez-Garcia, Alexis Ruiz, Alejandro Pacheco-Reyes, Wilfrido Rivera
Summary: It has been shown that conventional energy systems driven by fossil fuels contribute significantly to climate change. Organic Rankine cycles can mitigate this impact by utilizing the waste heat from renewable energy sources. This study provides a comprehensive review of organic Rankine cycles, including various cycle designs and working fluids. Two-stage cycles and hybrid systems have demonstrated higher thermal efficiencies and net power outputs compared to single-stage cycles. However, hybrid systems require high operating temperatures. Most organic Rankine cycle plants generate power outputs ranging from 1 kW to several tens of kW, using microturbines and plate heat exchangers.
Article
Thermodynamics
M. N. Khan, Mohammad Zoghi, Hamed Habibi, Amir Zanj, Ali E. Anqi
Summary: This study proposes two multi-generation configurations based on supercritical Brayton cycles and compares them from thermodynamic and exergoeconomic standpoints.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
A. Habibollahzade, K. J. Petersen, M. Aliahmadi, I Fakhari, J. R. Brinkerhoff
Summary: The study found that transcritical-CO2 systems can generate the highest power and have a levelized cost of electricity ranging from 0.12 to 0.16 $/kWh. Additionally, transcritical-CO2 configurations have the lowest payback period and achieve the highest efficiencies.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Peng Gao, Xinyu Wei, Liwei Wang, Fangqi Zhu
Summary: This paper proposes a compression-assisted decomposition thermochemical sorption energy storage system for recovering engine waste heat and producing cooling capacity for a refrigerated vehicle. The system ensures stable operation even at low exhaust temperatures and greatly improves the coefficient of performance (COP). It also provides cooling capacity for refrigerated compartments when the vehicle is parked, promoting low-carbon and low-cost refrigerated transportation.
Article
Thermodynamics
Mina Shahrooz, Per Lundqvist, Petter Neksa
Summary: This study examines 25 pure fluids and 104 binary mixtures in low temperature Rankine cycles, finding that some mixtures can improve performance in a specific evaporator range, with the maximum allowable evaporator pressure playing a crucial role in comparing zeotropic mixtures to their pure constituents.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Ji Zhang, Brian Elmegaard, Fredrik Haglind
Summary: In this study, tailored prediction methods for flow condensation in plate heat exchangers were developed for the applications in heat pump and organic Rankine cycle systems. A comprehensive experimental investigation was conducted, including 283 data points for pressure drop and heat transfer. New correlations utilizing two dimensionless numbers achieved an improved prediction with mean absolute percentage deviation of 8.9% for heat transfer and 10.3% for pressure drop data.
APPLIED THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Ji Zhang, Brian Elmegaard, Fredrik Haglind
Summary: This paper presents an experimental analysis of the flow condensation heat transfer and pressure drop characteristics of zeotropic mixtures in a plate heat exchanger. The study found that heat transfer degradation of the zeotropic mixture increases with decreasing condensation temperature and mass flux.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Chemistry, Physical
Maria E. Mondejar, Maria Regidor, Joerg Krafczyk, Christian Ihmels, Bastian Schmid, Georgios M. Kontogeorgis, Fredrik Haglind
Summary: This paper describes the collection, scope, utility, and development of a comprehensive database of published experimental thermophysical properties of nanofluids. The database includes 307 datasets with 8118 data records covering 13 types of base fluids and 19 nanoparticle types. The first release of the database is accessible for free through the Dortmund Databank.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Thermodynamics
Xiaohui Huang, Ji Zhang, Fredrik Haglind
Summary: This study presents an experimental analysis of high temperature condensation of zeotropic mixtures in a plate heat exchanger. The results show that the R1234ze(E)/R1233zd(E) mixture has higher heat transfer coefficient and frictional pressure drop compared to the R134a/R245fa mixture. A modified model predicts the heat transfer data with good accuracy, and a new pressure drop correlation accurately predicts the pressure drop results.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2022)
Article
Thermodynamics
Roberto Pili, Soren Bojer Jorgensen, Fredrik Haglind
Summary: This paper presents a novel design method for Organic Rankine Cycle systems subject to highly fluctuating heat sources, ensuring safe and efficient operation.
Article
Thermodynamics
Xiaohui Huang, Ji Zhang, Fredrik Haglind
Summary: This study experimentally tested the condensation characteristics of hydrofluoroolefin mixtures in a plate heat exchanger and analyzed the heat transfer and pressure drop. The results showed a decrease in heat transfer coefficient when using hydrofluoroolefin mixtures, and the predicted models can accurately predict the heat transfer and pressure drop data. Additionally, the hydrofluoroolefin mixtures exhibited higher heat transfer coefficient and frictional pressure drop compared to other mixtures with the same temperature glide.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Green & Sustainable Science & Technology
Roberto Pili, Christoph Wieland, Hartmut Spliethoff, Fredrik Haglind
Summary: Organic Rankine cycle systems are the most promising technology for recovering waste heat from heavy-duty vehicles. The highly transient nature of the waste heat is a major challenge for integrating the organic Rankine cycle unit efficiently. This paper presents a novel high-order advanced feedforward control concept to improve the performance of organic Rankine cycle units.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Nishith B. Desai, Maria E. Mondejar, Fredrik Haglind
Summary: This paper presents a techno-economic analysis of a cogeneration plant using a micro-structured polymer foil-based solar collector system. The study compares different energy storage technologies and concludes that packed-bed rock storage is the most suitable option, offering significant cost reduction in electricity and water.
Article
Energy & Fuels
Alberto Benato, Chiara D'Alpaos, Alarico Macor
Summary: Energy production from biogas can make a significant impact in various European countries, especially in Italy. However, current legislation and incentive policies in Italy are hindering the growth of the biogas sector. This study investigates the potential of improving biogas power plants to prolong their operational lifespan.
Article
Thermodynamics
Roberto Pili, Christoph Wieland, Hartmut Spliethoff, Fredrik Haglind
Summary: The organic Rankine cycle power system is a promising technology for waste heat recovery in heavy-duty trucks. Model predictive control is an effective tool for safe and optimal operation of the system. This paper presents a systematic method for tuning the controller based on a multi-objective optimization routine and a reduced linear model.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Xiaohui Huang, Ji Zhang, Fredrik Haglind
Summary: This study experimentally investigated high temperature flow boiling of zeotropic mixtures in a plate heat exchanger and developed new heat transfer and pressure drop prediction methods. The results showed that heat transfer was dominated by nucleate boiling and the heat transfer degradation of zeotropic mixtures was up to 42%. The pressure drop characteristics of zeotropic mixtures were similar to pure fluids. Existing methods provided good predictions of heat transfer data and the new heat transfer correlations improved the predictive performance.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Alberto Benato, Francesco De Vanna, Anna Stoppato
Summary: In the process of energy transition and tackling climate targets, large-scale variable renewable energy sources need to be combined with energy storage technology to balance supply and demand. The proposed Virtual Power Plant system in this study effectively smoothes the peak power output of solar photovoltaic generation and manages power supply, showing high stability and promising potential.
Article
Thermodynamics
Paride Gullo, Michael Birkelund, Ekaterini E. Kriezi, Martin Ryhl Kaern
Summary: The study found that the PWM ejector-equipped transcritical R744 condensing units effectively control high pressure and achieve energy savings of 7.0% to 11.1%. The PWM ejector also offers higher coefficient of performance compared to its competitors.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2023)
Article
Engineering, Chemical
Giovanna Cavazzini, Alberto Benato
Summary: Nineteen percent of global final energy consumption is used in buildings for electricity and heat generation, indicating the need for reduced consumption in the building sector. This work demonstrates the benefits of installing a monitoring system in a real operating environment, specifically focusing on a residential building's central heating and cooling system. The data collected and analyzed from installed sensors help detect anomalies, malfunctions, and failures, as well as evaluate the efficiency of the management strategy. The results emphasize the crucial role of data analysis in identifying failures, optimizing management strategies, and predicting machine performance deviations.
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.