Article
Management
Long He, Guangrui Ma, Wei Qi, Xin Wang
Summary: The paper focuses on the challenge of charging electric vehicle (EV) sharing fleets and proposes strategies such as concentrating charger resources, proactive charging at the 40% recharge threshold, and ensuring sufficient charger availability when collaborating with public charger networks. The study aims to make EV sharing operations more viable and profitable by integrating charging infrastructure planning and vehicle repositioning operations, and highlights the importance of both operator-controlled charging operations and customers' EV-picking behavior.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Environmental
Maxwell Woody, Parth Vaishnav, Michael T. Craig, Geoffrey M. Lewis, Gregory A. Keoleian
Summary: Electrification of delivery fleets presents an opportunity for reducing environmental impact in the transportation sector, but the choice of charging strategies significantly affects emission reductions and total cost of ownership.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Energy & Fuels
E. Lobato, L. Sigrist, A. Ortega, A. Gonzalez, J. M. Fernandez
Summary: This paper proposes an economic assessment tool to determine the viability of integrating battery energy storage systems (BESS) into renewable power plants for different market applications. The results show that participating in the balancing market can achieve positive internal rates of return, but the combination of additional market functionalities does not significantly improve the viability of BESS.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Thermodynamics
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Da Huo, Xianwu Zeng, Xiaoze Pei, Shuang Cheng, Jianwei Li
Summary: With the popularization of electric vehicles, vehicle-to-grid (V2G) technology has become essential for improving grid economy and reliability. This paper proposes an online battery anti-aging V2G scheduling method that mitigates battery aging while providing V2G services through parameter calibration. The method is verified on a practical UK distribution network and shows effectiveness in reducing battery aging while maintaining real-time performance.
Article
Energy & Fuels
Friedrich von Buelow, Markus Wassermann, Tobias Meisen
Summary: This study surpasses existing battery state of health (SOH) forecasting methods by using battery pack data from real-world vehicle operation. The results show that a state-of-the-art SOH forecasting method based on histogram features works not only on laboratory battery cell data, but also on real-world battery system data.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Civil
Parisa Ahani, Amilcar Arantes, Sandra Melo
Summary: Growing mobility and traffic congestion in urban areas necessitate a sustainable form of transport. This study examines the impact of traffic congestion intensity on the fleet structure of an urban car-sharing company and proposes an optimization framework for finding the optimal vehicle composition considering different congestion levels. The results show that electric vehicles are more competitive than diesel vehicles in high-peak traffic congestion. Additionally, a sensitivity analysis reveals the significant impact of factors such as EV purchasing price, DV energy prices, and diesel price increase on the total cost of ownership.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Economics
Kaying Li, Salvador Acha, Nixon Sunny, Nilay Shah
Summary: This paper addresses the decarbonisation of the heavy-duty transport sector and develops a strategy towards net-zero greenhouse gas emissions in heavy-goods vehicles by 2040. Four alternative vehicle technologies are evaluated from environmental, economic, and technical perspectives, with consideration of sociopolitical factors and commercial readiness. Strategic analysis frameworks are developed for comparison and to identify deployment potential. The importance of technology innovation, government support, and industry collaboration is highlighted for achieving the set goals.
Article
Thermodynamics
Emanuele Quaranta, George Aggidis, Robert M. Boes, Claudio Comoglio, Carlo De Michele, Epari Ritesh Patro, Evgeniia Georgievskaia, Atle Harby, Ioannis Kougias, Sebastian Muntean, Juan Perez-Diaz, Pedro Romero-Gomez, Marco Rosa-Clot, Anton J. Schleiss, Elena Vagnoni, Markus Wirth, Alberto Pistocchi
Summary: About 50% of hydropower plants worldwide have been in operation for over 40 years, with the advanced age being a major concern. The modernization of these plants can bring various benefits, such as increased power generation and annual generation. It is estimated that implementing modernization strategies could increase overall energy generation by 8.4% for the European Union and 9.4% for the whole Europe. This suggests that the modernization of hydropower plants can generate significant energy benefits.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Economics
Sofia Glyniadakis, Jose Antonio Perrella Balestieri
Summary: Energy scenarios play a critical role in defining public policies to encourage sustainable actions in the transportation sector. Possible scenarios for the technological distribution of light vehicles in 2050 were discussed to decarbonize the Brazilian transportation sector. The study highlights the potential for reducing emissions in the transportation sector using biofuels and electric vehicles, as well as the importance of optimizing the production chain of biofuels to maximize their efficiency.
Review
Economics
Kristina Knuepfer, Martin Maell, Miguel Esteban, Tomoya Shibayama
Summary: The study highlights the importance of grid-modelling studies in planning for future developments in the renewable energy and alternative fuel vehicles sector, through a comparison of Germany and Japan. It finds that technological maturity and meteorological factors have significant impacts on vehicle development, and energy policy's influence on regional transport technology penetration is a crucial research area.
Article
Engineering, Electrical & Electronic
Ge Guo, Yuqin Hou, Tianyu Sun
Summary: This article investigates the fleet-sizing problem for reservation-based car-sharing systems allowing cruise parking. The system is modeled as a mixed queuing network, taking into account asymptotic performance metrics. The optimal fleet size is derived using exact and approximate mean value analysis algorithms. The proposed method with cruise parking can meet travel demands with greatly reduced operating cost, and there is a trade-off between reservation time window, parking capacity, fleet size, and service quality.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Article
Thermodynamics
Junzhe Shi, Teng Zeng, Scott Moura
Summary: The populations of commercial electric vehicles (EVs) and electric robots (ERs) have been growing rapidly in recent years. Coordinating their operations and charging schedules is essential to maximize total profit. This study proposes an innovative fleet management strategy that addresses the nonlinear charging profile, maximizing revenue and minimizing the cost of electricity and battery degradation.
Article
Energy & Fuels
Yanchong Zheng, Ziyun Shao, Xiang Lei, Yujun Shi, Linni Jian
Summary: Electric vehicles (EVs) provide an alternative solution for sustainable and low-emission traffic system when combined with renewable energy sources. EVs can serve as distributed energy storage devices to offer V2G services for power grids. With decreasing battery costs, EV aggregators have the potential to profit in electricity markets.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Mengke Li, Yongkui Shi, Bobin Zhu
Summary: This study proposes a solution to the multi-center mixed vehicle routing problem considering dynamic energy consumption and integrated reverse logistics in the fleet operation model where electric vehicles coexist with traditional vehicles. Through the design of a novel charging station insertion strategy and a genetic algorithm, this method aims to improve customer satisfaction and reduce total cost expenditure.
Article
Energy & Fuels
Giovanni Gino Zanvettor, Marco Casini, Antonio Giannitrapani, Simone Paoletti, Antonio Vicino
Summary: This paper studies the problem of managing an energy community with a fleet of electric vehicles for rent. It presents a bi-level model to find the optimal request-to-vehicle assignment and reduce the charging cost of electric vehicles.
Article
Thermodynamics
Shijie Zhou, Sunliang Cao, Shengwei Wang
Summary: This study proposes a hybrid system using ocean energy technologies to support coastal zero-energy buildings. Different mix ratios of renewable energy systems and number of batteries were investigated to evaluate the impact on zero-energy buildings in a dynamic energy simulation. Results showed that most cases without batteries were technically and economically feasible, achieving significant reductions in annual CO2 emissions.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Haojie Luo, Sunliang Cao, Vivien Lin Lu
Summary: This study investigates the feasibility of utilizing wave energy converters and offshore wind turbines to support coastal zero-energy buildings. The results indicate that the integrated renewable energy system can significantly reduce greenhouse gas emissions and achieve economic benefits.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Ming Li, Sunliang Cao, Xiaolin Zhu, Yang Xu
Summary: This study investigates the integration of a coastal community with hybrid ocean-related energy systems. The research demonstrates that community-scale electricity storage significantly improves the technical performance of the system and reduces equivalent CO2 emission.
Article
Energy & Fuels
Yuekuan Zhou
Summary: This study proposes a spatiotemporal energy network in the Guangdong-Hong Kong-Macao Greater Bay Area, which addresses the regional imbalance distribution, dynamic intermittence, and fluctuation of renewable resources through smart transportation for energy sharing. By implementing advanced energy pricing policies and energy interaction modes, stakeholders' participation willingness can be economically incentivized.
Article
Green & Sustainable Science & Technology
Yuekuan Zhou
Summary: This study provides a systematic and comprehensive review on the transition towards carbon-neutral districts, focusing on energy storage techniques, spatiotemporal energy sharing, electrification, and hydrogenation. The research results can serve as important references for optimal planning on national energy strategies, technical guidelines, and economic incentives.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Jia Liu, Yuekuan Zhou, Hongxing Yang, Huijun Wu
Summary: This study explores net-zero energy management and optimization approaches for commercial buildings powered by renewable energy systems and energy storage. The results indicate that large-scale energy storage systems are optimal for net-zero energy commercial buildings. A future-oriented time-of-use strategy significantly improves system supply and economic performance, while reducing carbon emissions from renewable power supply and renewable hydrogen mobility. The proposed net-zero energy planning framework can serve as a reference for achieving carbon neutrality in similar coastal cities worldwide.
Article
Energy & Fuels
Jia Liu, Yuekuan Zhou, Hongxing Yang, Huijun Wu
Summary: This study develops uncertainty energy planning for net-zero energy communities by considering innovative peer-to-peer energy trading management, advanced green vehicle storage, climate changes, and machine learning predictions. The results show variations in key weather parameters, with a slight decrease in solar photovoltaic and wind power generation by 2050.
Article
Green & Sustainable Science & Technology
B. Tian, R. C. G. M. Loonen, A. Bognar, J. L. M. Hensen
Summary: This paper compares the impacts of four different reconstruction algorithms on the performance of raytracing simulations, and finds that the reconstructed models consistently underestimate shading influence. Explicit algorithms perform better with less embedded error, and diffuse irradiance contributes more to the overall error than direct components. The error magnitude is also affected by solar elevation and shading geometry types.
Review
Energy & Fuels
Federica Leone, Francesco Reda, Ala Hasan, Hassam Ur Rehman, Fausto Carmelo Nigrelli, Francesco Nocera, Vincenzo Costanzo
Summary: The aim of this study is to analyze the design variations among six Positive Energy District (PED) projects in the European Smart Cities and Communities programme. By collecting data and communicating with project representatives, a catalogue of energy system solutions adopted in the studied PEDs was created, with a critical analysis of the motivations behind them. This study outlines general trends in geographical areas with similar characteristics.
Article
Thermodynamics
Hayder Mohammad Jaffal, Nabeel Sameer Mahmoud, Ahmed Abdulnabi Imran, Ala Hasan
Summary: This study aimed to investigate the hydrothermal performance of a novel design of ribbed serpentine channel cooled plate (SCCP) for Li-ion battery cooling. Numerical simulations and experimental validations were conducted, and the results showed that the ribs played a vital role in improving heat transfer, with rib orientation being more influential than rib shape.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Construction & Building Technology
Francesco Carlucci, Roel C. G. M. Loonen, Francesco Fiorito, Jan L. M. Hensen
Summary: This study proposes an innovative approach to analyze the energy behavior of complex kinetic shading systems. It develops and validates a tool based on Python and EnergyPlus that can consider the continuous nature of energy simulation and analyze complex kinetic systems. The algorithm provides a comparison sheet to evaluate the performance of the system by providing an EnergyPlus model and a model of the shading configurations.
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(2023)
Article
Green & Sustainable Science & Technology
Federica Leone, Ala Hasan, Francesco Reda, Hassam ur Rehman, Fausto Carmelo Nigrelli, Francesco Nocera, Vincenzo Costanzo
Summary: This paper introduces a new approach called "territorial acupuncture" to address the challenge of achieving carbon neutrality in densely populated territories without significantly altering the territories. This method combines various theories and practices, such as Biourbanism, urban acupuncture, and energy community design. By treating the territory as a single organism and implementing punctual interventions on a district scale, Territorial Acupuncture modifies energy, socio-economic, and environmental dynamics to enhance the resilience of densely populated territories.
Article
Construction & Building Technology
Angelica Walsh, Daniel Costola, Jan L. M. Hensen, Lucila Chebel Labaki
Summary: This paper presents the first application of performance-based zoning to Brazil, using an open-source toolbox to revise the Brazilian climatic zoning standard. The study simulates and analyzes 100 variants of a detached dwelling for 298 locations in terms of energy demand, thermal comfort, and mould growth risk. The proposed zoning method, incorporating expert insights, outperforms the current Brazilian and degree-day zones.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
B. Tian, R. C. G. M. Loonen, J. L. M. Hensen
Summary: This paper presents a novel method for comprehensive solar irradiance assessment that considers the dynamic partial shading impacts from trees. The method, which takes urban point clouds as input, shows significant reduction in simulation errors compared to alternative approaches, while limiting the required input data. The primary source of uncertainty stems from mismatches between tree morphology in the fusion model and reality.
ENERGY AND BUILDINGS
(2023)
Article
Energy & Fuels
Shuwei Wang, Pieter-Jan Hoes, Jan L. M. Hensen, Olaf C. G. Adan, Pim A. J. Donkers
Summary: With the increasing share of renewable energy in total energy consumption, the temporal mismatch between energy supply and demand in buildings is becoming a challenge. Thermochemical heat storage, with its considerable energy density, acceptable cost, and negligible heat loss, is a promising alternative to common heat storage solutions in building applications. This study proposes a method that combines modeling and simulation to assess the potential impact and benefit of a thermochemical heat storage system integrated into a building, using a data-driven surrogate model and a building performance simulation engine. The results from a case study show that the heat battery can effectively reduce electricity consumption for heating a detached house without sacrificing thermal comfort, and that a small-scale heat battery exhibits efficient usage of the designed storage capacity.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)