Article
Environmental Sciences
Rui Yan, Zhijuan Jiang
Summary: Exploring alternative fuels and advanced vehicle technology is crucial for reducing vehicle emissions. Fuel cell heavy-duty trucks (FC-HDTs) have potential for reducing energy consumption and emissions, but their environmental performance needs further study.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Environmental Sciences
Ana Carolina Rodrigues Teixeira, Pedro Gerber Machado, Flavia Mendes de Almeida Collaco, Dominique Mouette
Summary: This paper reviewed technologies available for road freight transport regarding pollutant and GHG emissions, focusing on the impact of particulate matter, carbon monoxide, nitrogen oxides, and hydrocarbons emissions on public health with a low coverage of greenhouse gas emissions. The main characteristics affecting pollutant emissions were found to be the fuel oxygen content and combustion chamber temperature according to the analyzed papers.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Gurdas S. Sandhu, H. Christopher Frey, Shannon Bartelt-Hunt, Elizabeth Jones
Summary: This study focuses on the fuel use and tailpipe exhaust emissions of compressed natural gas (CNG) refuse trucks, finding that front-loader trucks have better fuel economy and lower emission rates compared to side-loader trucks. Compared to diesel trucks, CNG trucks have lower NOx and PM emission rates but higher CO and HC rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Computer Science, Artificial Intelligence
Afsane Amiri, Saman Hassanzadeh Amin, Hossein Zolfagharinia
Summary: This paper discusses a Green Vehicle Routing Problem that considers both electric and conventional trucks. A bi-objective programming model is developed to minimize transportation costs and Greenhouse Gas (GHG) emissions. The study finds that increasing charging power and the number of charging stations can decrease transportation costs, and a slight increase in transportation costs can lead to a significant reduction in GHG emissions.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Environmental Studies
Arun S. K. Raju, Barry R. Wallerstein, Kent C. Johnson
Summary: The study evaluates the NOx and GHG emissions trends of California's South Coast region's Heavy-Duty transportation sector, finding that the rate of deployment of cleaner technology options significantly impacts emissions. It is necessary to deploy low carbon technologies aggressively to achieve 2040 emission targets, and accelerating fleet turnover is an important NOx control strategy.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Thermodynamics
Michal Wojcieszyk, Yuri Kroyan, Ossi Kaario, Martti Larmi
Summary: A mathematical model based on fuel properties was developed to accurately estimate fuel consumption and tailpipe CO2 emissions from heavy-duty vehicles. The model was applied to simulate the effect of different renewable fuel blends, showing that some blends increase fuel consumption while others improve fuel economy.
Article
Green & Sustainable Science & Technology
Kexin Wang, Victor Gordillo Zavaleta, Yang Li, S. Mani Sarathy, Amir F. N. Abdul-Manan
Summary: China is committed to peaking its CO2 emissions by 2030 and achieving carbon neutrality by 2060. Heavy-duty trucks (HDTs) play a crucial role in decarbonization efforts due to their high greenhouse gas (GHG) emissions. However, the extent to which different low-carbon options can reduce GHG emissions throughout the life cycle of HDTs is not well understood. A life-cycle analysis was conducted to compare the GHG mitigation potential of highly efficient diesel engines, battery-electrics, and hydrogen fuel cells for China's class-8 HDTs in 2030. The results show that all three options can achieve more than 38% reduction in life-cycle GHG emissions. However, battery-electric HDTs require fast-charging infrastructure to maintain freight-carrying capacity, while hydrogen fuel cells can achieve an 80% reduction when paired with low-carbon hydrogen. Hybrid strategies that consider engine efficiency, power grid decarbonization, freight logistics optimization, and behavioral changes are necessary for effective and efficient HDT decarbonization to achieve China's carbon neutrality goal by 2060.
Article
Multidisciplinary Sciences
Nina Khanna, Hongyou Lu, David Fridley, Nan Zhou
Summary: China needs to significantly reduce CO2 emissions from heavy-duty trucks, and deploying battery electric and fuel-cell trucks starting in 2020 and 2035 respectively could achieve the largest emissions reduction by 2050. Near-term strategies such as improving efficiency and switching to liquefied natural gas could also halve current diesel consumption and CO2 emissions by 2050. The results highlight the importance of a mix of near- and long-term policy and technology options for decarbonizing China's heavy-duty trucks.
SCIENTIFIC REPORTS
(2021)
Article
Energy & Fuels
Tubagus Aryandi Gunawan, Rory F. D. Monaghan
Summary: This paper presents the results of techno-economic-environmental modeling for decarbonizing heavy-duty trucks in the quarrying sector. The evaluation of transitioning to zero- or low-emission trucks is based on the total cost of carbon abatement (TCA), considering the total cost of truck ownership and life-cycle greenhouse gas emissions. The study compares different powertrain configurations and assesses the production and refueling performance for each powertrain. The results show that fuel cost is the major contributor to total cost of ownership (TCO) for all powertrains except battery electric trucks, which are dominated by infrastructure cost. Off-grid systems have higher TCOs but can achieve greater reduction in greenhouse gas emissions compared to on-grid systems. Battery electric trucks and diesel-hydrogen dual-fuel engine trucks have the lowest TCA for fleets of 100 trucks. Increasing carbon tax can make low-emission trucks more competitive.
Article
Environmental Sciences
Hanwei Zhu, Tianyi Ma, Zisimos Toumasatos, Sam Cao, Georgios Karavalakis, Kent C. Johnson, Thomas Durbin
Summary: This study analyzed the emissions of nitrogen oxides (NOx) and ammonia (NH3) from five different goods movement vehicles. The results showed that diesel vehicles with selective catalytic reduction (SCR) had lower NOx emissions, while natural gas vehicles equipped with three-way catalysts (TWCs) had higher NH3 emissions.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Studies
Nikiforos Zacharof, Georgios Fontaras, Biagio Ciuffo, Alessandro Tansini, Iker Prado-Rujas
Summary: This paper discusses three methods for capturing fleet CO2 emissions data and their effectiveness, pointing out their applications in fleet monitoring and future fleet composition research.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Engineering, Civil
Liangkai Liu, Wei Li, Dawei Wang, Yi Wu, Ruigang Yang, Weisong Shi
Summary: Fuel cost is a major factor contributing to the high operation cost of heavy-duty trucks. Developing fuel rate prediction models is crucial for optimizing fuel consumption in these trucks. However, the existing models show poor performance due to the lack of accurate features directly related to fuel consumption. In this study, we collect a three-month dataset using the truck's engine management system and Instant Fuel Meter, and evaluate seven prediction models. The results show that the dataset improves the performance of traditional linear/polynomial models and the AutoML approach achieves the highest coefficient of determination. Additionally, we explore the practical deployment of fuel rate prediction for autonomous driving using transfer learning and path planning.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Environmental Sciences
Shifen Cheng, Beibei Zhang, Yibo Zhao, Peng Peng, Feng Lu
Summary: Heavy-duty diesel trucks (HDDTs) cause serious pollution to urban and regional environments. This study constructs a multiscale NOx emission inventory of HDDTs with high spatiotemporal resolution in the Beijing-Tianjin-Hebei region and analyzes the spatiotemporal variations using spatial statistical indicators and a multiscale geographical weighted regression model. The results show different distribution and aggregation characteristics of NOx emissions at different scales, with spatial heterogeneity and multiscale effects of socioeconomic and road attribute characteristics. Population density, urbanization rate, proportion of second industry, and proportion of highway affect the NOx emissions of HDDTs globally, while per capita GDP and road density have local effects.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Environmental
Xingyu Xue, Jianxin Li, Xin Sun, Amir F. N. Abdul-Manan, Sha Du, Huanran Liu, Shujie Xu, Mingnan Zhao
Summary: This study aims to assess the strategies for decarbonizing China's road freight sector from a well-to-wheels perspective. Various measures, including logistics improvement, vehicle efficiency enhancement, and the use of alternative fuels, can significantly reduce greenhouse gas emissions and energy demand. The results show that a comprehensive approach, combining energy and powertrain technologies with logistical solutions, is necessary for the decarbonization of China's heavy-duty truck sector.
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2023)
Article
Thermodynamics
Jiaze Yan, Ge Wang, Siyuan Chen, He Zhang, Jiaqi Qian, Yuxuan Mao
Summary: This paper proposes using freight platforms to promote the adoption of hydrogen fuel-cell trucks (HFCTs) by issuing platform licenses with conditions such as priority dispatch and commission discount for HFCT drivers. The study shows that both priority dispatch and commission discount can effectively promote the penetration of HFCTs. However, the high cost remains a barrier and further innovation and technological progress are needed to reduce costs.
Review
Energy & Fuels
Jiehui Yuan, Dongkun Luo, Lianyong Feng
Article
Economics
Jiehui Yuan, Dongkun Luo, Liangyu Xia, Lianyong Feng
Article
Energy & Fuels
Liangyu Xia, Dongkun Luo, Jiehui Yuan
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2015)
Article
Energy & Fuels
Lihui Zhu, Jiehui Yuan, Dongkun Luo
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2016)
Article
Thermodynamics
Wandi Li, Dongkun Luo, Jiehui Yuan
Article
Green & Sustainable Science & Technology
Jiehui Yuan, Xunmin Ou, Gehua Wang
Article
Energy & Fuels
Jie-Hui Yuan, Sheng Zhou, Tian-Duo Peng, Ge-Hua Wang, Xun-Min Ou
Article
Engineering, Environmental
Hansi Liu, Xunmin Ou, Jiehui Yuan, Xiaoyu Yan
RESOURCES CONSERVATION AND RECYCLING
(2018)
Article
Green & Sustainable Science & Technology
Jiehui Yuan, Wenli Yuan, Juan Yuan, Zhihong Liu, Jia Liao, Xunmin Ou
Summary: This paper establishes a policy-analysis framework for distributed-solar-PV generation and finds that the profitability of such projects in China is generally becoming worse. This is not helpful for the sustainable development of the industry, which plays a vital role in carbon neutrality. The analysis suggests that policy instruments such as financial policies, green certificates, and tax incentives can improve the economic viability of distributed-PV development in China.
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
