Article
Energy & Fuels
Ewelina Sendek-Matysiak, Dariusz Pyza, Zbigniew Losiewicz, Wojciech Lewicki
Summary: The process of urbanisation continues to develop dynamically, leading to issues such as urban freight transport and the negative impact of transport on the urban environment. In recent years, there have been international projects focused on sustainable urban logistics, with a particular emphasis on Battery Electric Vehicles (BEVs). This paper compares BEVs with combustion-powered vehicles and analyzes their competitiveness in current market conditions.
Article
Economics
Zhe Liu, Juhyun Song, Joseph Kubal, Naresh Susarla, Kevin W. Knehr, Ehsan Islam, Paul Nelson, Shabbir Ahmed
Summary: The technological advance in electrochemical energy storage and electric powertrains has led to rapid growth in electric vehicle deployment. Despite limitations in size and driving range due to high battery costs and added weight, consumers are steadily purchasing electric vehicles for their fast acceleration, quiet ride, and high energy efficiency. Operating cost savings and potential cost parity with internal combustion engine vehicles make electric vehicles a favorable option, especially for shorter driving ranges.
Article
Green & Sustainable Science & Technology
Zhi Li, Hang Fan, Shuyan Dong, Dunnan Liu
Summary: The article introduces a TCO-based green premium modeling model to address the challenge of quantifying the green premium. It enhances the classical Bass model for electric vehicle sales forecasting by incorporating the influence of the green premium. The study uses industry research data to construct a multi-factor green premium model based on TCO analysis and applies a genetic algorithm to fit the model parameters. Experimental results show that considering the green premium in the generalized Bass model improves the forecasting performance. These modeling approaches exhibit good accuracy and scalability.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Hyunjun Lee, Ayeon Kim, Aejin Lee, Boreum Lee, Hankwon Lim
Summary: Global warming has caused serious natural disasters, leading countries to come together to address climate change issues like CO2 emissions. Hydrogen energy, with its eco-friendly properties, has garnered increased attention, especially in the application of fuel cell electric vehicles. Research has shown that economic analysis and optimization models have a significant impact on the market share of hydrogen fueling stations in 2022, 2030, and 2040.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Shiqi Ou, Shengyong Zhang, Zhenhong Lin, Stacy Davis
Summary: In this study, a physics-based energy consumption model of BEVs is constructed and associated with a statistics-based model on the basis of travel surveys, in order to quantitatively link the cost-effectiveness of light-weight technologies with range extension and consumer acceptance of BEVs. The results suggest that adopting lightweighting in BEVs is more cost-effective for consumers with higher daily limitation value, as well as for those with higher driving intensity or suitable daily driving patterns. When lightweighting involves a higher vehicle production cost, less lightweighting could reduce the overall PCO for BEV owners.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Li Jiang, Jiangwei Xu
Summary: This paper develops a simple linear formulation of cost-sharing procurement contracts with reciprocal behavior embedded. The analysis shows that reciprocal behavior is negatively associated with incentives. Both cost uncertainty and supplier's risk aversion positively affect reciprocal behavior and cooperation between buyers and suppliers. Compared to existing literature, the presented model is a Pareto improvement even if cost-reducing effort is unverifiable.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Business
Andrei Goncearuc, Nikolaos Sapountzoglou, Cedric De Cauwer, Thierry Coosemans, Maarten Messagie, Thomas Crispeels
Summary: This paper fills in the gap in existing research on business modelling approaches applied to technologically-driven markets and creates a detailed, dynamic, and holistic integrative business modelling approach. The approach is then applied to the electric vehicles charging market to describe and analyze the defined business model archetypes of the core participants of the business ecosystem.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Environmental Studies
Erik Figenbaum
Summary: This article retrospectively analyzes the total cost of ownership (TCO) of battery electric vehicles (BEVs) versus gasoline vehicles (ICEVs) in Norway, focusing on the effects of BEV incentives on TCO. Before 2001, BEVs were deemed too expensive according to TCO calculations, but since 2012, they have become favorable compared to 3-year old ICEVs. The adoption of BEVs has been facilitated by multi-vehicle households, which can easily handle the limited range of BEVs by using another vehicle for long trips. BEVs have gained a good reputation in Norway, and the costly incentives have become institutionalized.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Konstantinos D. Afentoulis, Zafeirios N. Bampos, Stylianos I. Vagropoulos, Stratos D. Keranidis, Pantelis N. Biskas
Summary: The large-scale charging of plug-in electric vehicles without control can have negative effects on electricity networks. Smart charging, which flexibly and coordinately manages the charging process, offers a promising solution with benefits for system operators and electric vehicle users. This paper proposes a novel Business Model Framework for Electric Vehicle Aggregators (EVAs) to effectively manage the complex smart charging process. The framework focuses on value proposition, creation and delivery, and value capture, enabling EVAs to unlock the untapped potential of flexible charging in electricity markets.
Article
Economics
Danhua Ouyang, Shen Zhou, Xunmin Ou
Summary: This study analyzes the purchase cost of electric vehicles in China, finding that small EVs will achieve cost parity first, while PHEVs and large/medium-sized EVs will reach cost parity within the next few years. Despite decreasing purchase costs, most EV models will still not reach cost parity by 2030.
Article
Multidisciplinary Sciences
Yan Xu, Xuehong Ji, Ziniu Jin
Summary: The study highlights the importance of niche market for car-sharing companies in the early stage of market entering, proposing strategies such as using travel scenarios mining method and analyzing competitive advantages of car sharing in different travel scenarios. Findings suggest that three travel scenarios in Beijing are suitable for car sharing's niche market.
Article
Economics
Julia Schwab, Christian Soelch, Gregor Zoettl
Summary: This paper analyzes the charging cost of battery electric vehicles (BEVs) under different penetration levels and charging strategies, considering their impact on the electricity sector. The results show that higher BEV penetration leads to lower CO2 emissions, even with limited availability of green electricity. Smarter charging strategies significantly reduce charging costs and CO2 emissions in all scenarios. Furthermore, the charging cost remains comparatively low even for large-scale deployment of BEVs. The Total Cost of Ownership (TCO) of BEV adoption depends crucially on the evolution of vehicle purchase prices.
Article
Business
Nico Goetzel, M. Hasanuzzaman
Summary: This study analyzes the learning rate of electric vehicle retail prices in Germany from 2015 to 2020 and predicts the point of purchase price parity between electric cars and conventional vehicles in different market segments. The results show that luxury electric cars will reach price parity by 2023, mid-sized cars will follow by 2026, and small cars are unlikely to achieve price parity before 2030. The study also evaluates the total cost of ownership of electric and conventional cars, and finds that by 2020, mid-size and large electric vehicles were already close to price parity with conventional cars.
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT
(2022)
Article
Engineering, Civil
Sid Chi-Kin Chau, Shuning Shen, Yue Zhou
Summary: Ride-sharing and vehicle-pooling are popular trends in the sharing economy, but require effective matching mechanisms and fair cost-sharing methods. This paper sheds light on principles of decentralized ride-sharing and vehicle-pooling mechanisms based on stable matching, and presents various fair cost-sharing mechanisms and their outcomes. The results show that some fair cost-sharing mechanisms can achieve high social optimality, which is corroborated by an empirical study on taxi sharing in New York City.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Energy & Fuels
Maximilian Schucking, Patrick Jochem
Summary: By considering uncertainties in energy consumption and charging times, an optimization framework is proposed to minimize the total cost of ownership for commercial electric vehicles. The study reveals a significant impact of uncertain mobility patterns on the optimal solution, while the trade-off between battery and charging capacity can greatly reduce the total cost.
Review
Energy & Fuels
Shujie Wu, Rui Xiong, Hailong Li, Victor Nian, Suxiao Ma
JOURNAL OF ENERGY STORAGE
(2020)
Article
Energy & Fuels
Jun Yuan, Haowei Wang, Szu Hui Ng, Victor Nian
Article
Thermodynamics
Baomin Dai, Haifeng Qi, Wanbin Dou, Shengchun Liu, Dan Zhong, Haining Yang, Victor Nian, Ying Hao
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Thermodynamics
Baomin Dai, Xiao Liu, Shengchun Liu, Yingying Zhang, Dan Zhong, Yining Feng, Victor Nian, Ying Hao
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Green & Sustainable Science & Technology
Shengchun Liu, Haifeng Qi, Victor Nian, Bin Liu, Baomin Dai, Zhili Sun, Xueqiang Li, Jun Yuan
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Jun Yuan, Jiang Zhu, Victor Nian
Article
Thermodynamics
Shengchun Liu, Jiahao Wang, Baomin Dai, Xin Yang, Victor Nian, Hailong Li, Jun Yuan
Summary: The study demonstrates that using an IHX in CO2 refrigeration systems can significantly improve system performance, especially when operating under transcritical conditions. Additionally, adding an IHX can reduce compressor discharge pressure and decrease total power consumption of the system.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2021)
Article
Green & Sustainable Science & Technology
Lei Wang, Victor Nian, Hailong Li, Jun Yuan
Summary: The development of electric vehicles is driven by the need for cleaner and more efficient road transport, but challenges in vehicle charging pose significant obstacles to electricity sector planning in urbanized areas like Singapore. This study evaluates the impact of large-scale EV deployment on the electricity sector and suggests that caution should be exercised, especially in highly urbanized cities with high vehicle density, before pursuing widespread EV adoption. Stress-testing of power system infrastructure from technical and economic perspectives is recommended before large-scale deployment.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Yanjie Li, Victor Nian, Hailong Li, Shengchun Liu, Yabo Wang
Summary: A comprehensive life cycle analysis and techno-economic assessment framework is proposed as the first step towards developing an alternative and potentially more intuitive energy systems modelling tool. Using the residential air-conditioning sector in Southeast Asia as an example, the advantages of this methodology in profiling future technology pathways are demonstrated. By utilizing the best available technology, significant emission reductions and cost savings can be achieved.
Article
Green & Sustainable Science & Technology
Baomin Dai, Yu Cao, Shengchun Liu, Yalan Ji, Zhili Sun, Tianyahui Xu, Peng Zhang, Victor Nian
Summary: This study proposes three configurations of carbon dioxide booster refrigeration systems for commercial supermarkets in different climate regions of China. The energetic operation performance of these systems is studied through thermodynamic and cooling load models. The results show that the multi-stage DMS system has better performance and higher energy efficiency, particularly in hot regions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Victor Nian, Amjad Ghori, Eddie M. Guerra, Giorgio Locatelli, Paul Murphy
Summary: Emerging economies in Southeast Asia are facing challenges in decarbonisation and energy resilience, with SMRs potentially being a strategic option. However, there is a need for a deeper understanding and communication of the potential benefits and risks of SMRs at the policy level.
Article
Energy & Fuels
Jingjing Li, Victor Nian, Jianling Jiao
Summary: This study investigates the impact of different policies on the diffusion and benefits of electric vehicles (EVs) using a multiagent system dynamics (SD) model. The results show that various policies affect the diffusion and benefits of EVs, with health benefits being the greatest, followed by carbon emission reduction benefits, and government subsidies benefiting EV industry stakeholders.
Article
Green & Sustainable Science & Technology
Ying Hao, Haifeng Qi, Shengchun Liu, Victor Nian, Zhongyao Zhang
Summary: The developments in urban rail transit construction bring both benefits and negative impacts. This study focuses on the field measurement of indoor vibration and noise spectrum near urban rapid transit lines in Tianjin, China. The effectiveness of mitigation measures, such as wheel-rail polishing and train speed reduction, was evaluated. The study found that the effectiveness of noise and vibration reduction depends on the attenuation of the main frequency corresponding to the secondary radiation noise in buildings.
Article
Energy & Fuels
Victor Nian, Benito Mignacca, Giorgio Locatelli
Summary: This paper uses energy systems modeling analysis to compare the economics of nuclear, wind, and solar energy in 11 decarbonization scenarios for five member states of the Association of Southeast Asian Nations (ASEAN). The findings indicate that nuclear energy is an economically competitive pathway towards net-zero emissions if the overnight cost is comparable to recent nuclear power plants in China and Korea.
Article
Energy & Fuels
Shuai Yang, Jun Yuan, Victor Nian, Lu Li, Hailong Li
Summary: This study investigates the economics of offshore marinised charging stations for enabling long-distance shipping by full-electric vessels. It compares three offshore power generation technologies and finds that a charging station with a floating nuclear power plant is the most cost-competitive option.
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.