Article
Thermodynamics
Konrad W. Eichhorn Colombo
Summary: This study investigates the financial resilience of an FPSO plant using a hybrid modeling approach. A linked economics model, reliability model, and safety model are used to simulate the complex behavior of the FPSO operation. The results highlight the importance of sufficient maintenance and repair of equipment to prevent rapid depletion of cash reserves and major accidents. Conservative revenue streams should be assumed when considering petroleum exploration in sensitive ecosystems.
Article
Engineering, Multidisciplinary
Paulo Dambros Menin, Lucio de Abreu Correa, Thomas Gabriel Rosauro Clarke, Denis Alvin Liang
Summary: A guided wave monitoring system for storage tanks of floating production storage and offloading units was tested on a representative panel. The system was capable of detecting localised wall loss and indicating its position. Post-processing methods improved the signal-to-noise ratio and amplification ratios of damage to artefact.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Thermodynamics
Jing Wang, Lixia Kang, Yongzhong Liu
Summary: This study proposes a two-step method to determine time series aggregation (TSA) strategies for multi-energy systems (MES) to optimize design and operation. Using a multi-objective optimization framework, the optimal TSA strategy is selected based on a combination of total system cost and loss of load probability as evaluation criteria.
Article
Automation & Control Systems
Kaihong Lu, Long Wang
Summary: In this article, the problem of online distributed optimization with a set constraint is solved using a network of agents. An online distributed algorithm based on the consensus algorithm and the mirror descent algorithm is proposed to handle nonconvex objective functions. Under mild assumptions on the communication graph and objective functions, the algorithm's performance is proven.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Biodiversity Conservation
Wei Chen, Qian Zhang, Chengxin Wang, Zhaoling Li, Yong Geng, Jinglan Hong, Yu Cheng
Summary: This study evaluates the water, carbon, and fossil energy footprints generated from rolled steel production and identifies the key contributors to these environmental impacts. Results show that global warming and freshwater ecotoxicity are the main factors affecting human health and ecosystem quality. Several policy recommendations are proposed to mitigate these impacts.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Guillermo San Miguel, Isabel Martin-Girela, Diego Ruiz, Gregorio Rocha, Maria Dolores Curt, Pedro Luis Aguado, Jesus Fernandez
Summary: This study presents a method for designing and constructing a floating wetland that can rehabilitate eutrophicated waterways and produce biomass for animal feed. The environmental life cycle assessment and life cycle cost analysis show that the carbon footprint and economic performance of this wetland are lower than those of other conventional small-scale wastewater treatment technologies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Qian Zhang, Jinglan Hong, Tianzuo Zhang, Xu Tian, Yong Geng, Wei Chen, Yijie Zhai, Wenjing Liu, Xiaoxu Shen, Yueyang Bai
Summary: This study evaluates the environmental impact of soybean production in China, including fossil energy consumption, carbon emissions, and water footprint. The results show that the major factors contributing to climate change, ecosystem quality, human health, and resources are diammonium phosphate and diesel, as well as on-site emissions. The study proposes several recommendations, including optimizing trade structure, efficient resource use, and technological improvements.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Jianmin Hou, Junjie Wang, Ying Zhou, Xinmei Lu
Summary: This paper focuses on multi-objective optimization and evaluation of two distributed energy systems, considering factors such as cost and carbon emissions. It was found that CCHP has cost advantages under different operating strategies, while HDES performs better in reducing CO2 emissions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Rashi Dhanraj, Varun Punnathanam, Yogendra Shastri
Summary: This study proposed a multi-objective optimization model to design lignocellulosic biofuels production system, considering factors such as regional water availability, land availability, and competing water demands. The results showed a significant trade-off between ethanol cost and irrigation water requirement, recommending specific crops and biorefinery locations in different regions.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Chemistry, Analytical
Grzegorz Rutkowski, Jaroslaw Korzeb
Summary: This paper provides guidance on the potential impacts of high-level noise on 1st generation floating storage and offloading vessels (FSO) in offshore sector. It discusses legal requirements for noise exposure control on ship personnel and presents regulations from various entities to protect marine environment and worker safety. The study also includes an analysis of noise measurements conducted on exemplary 1st generation FSO units.
Article
Environmental Sciences
Huijun Wu, Xinyue Chen, Ling Zhang, Xin Liu, Songyan Jiang, Yongxin Liu
Summary: This study analyzed the water, land, and carbon footprints of pig production in China and proposed recommendations for resource-saving and eco-friendly production.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Operations Research & Management Science
Are Denstad, Einar Ulsund, Marielle Christiansen, Lars Magnus Hvattum, Gregorio Tirado
Summary: The banking industry is facing various challenges due to regulatory changes and technological advancements; the redesign of ATM networks to adapt to the increased use of electronic payment methods is crucial for cost reduction and network performance.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Simon Kaiser, Katharina Prontnicki, Stefan Bringezu
Summary: The utilization of CO2 with renewable energy and water presents a promising alternative in the chemical industry. Location differences play a significant role in determining environmental impacts and economic parameters, with a trade-off between climate footprint and other environmental impacts. Careful selection of production locations is necessary due to high variances in environmental and economic results.
Article
Mathematics, Applied
Sajida Kousar, Maryam Nazir Sangi, Nasreen Kausar, Dragan Pamucar, Ebru Ozbilge, Tonguc Cagin
Summary: Pakistan, a key country in South Asia, faces challenges in agricultural irrigation due to uncertainty. To address these issues, researchers have designed an optimization model that maximizes crop output and net profit by considering factors such as climate change and water availability.
Article
Environmental Sciences
Qile Hu, Huangwei Shi, Li Wang, Lu Wang, Yong Hou, Hongliang Wang, Changhua Lai, Shuai Zhang
Summary: As the world's largest pork producer, China faces significant environmental pressures from pig and feed production. This study examines the carbon and nitrogen footprints and land use of pig production in China and finds that the net energy system is effective in improving the environmental sustainability of pork production.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Energy & Fuels
Zhengjia Zhang, Qingxiang Wang, Zhengguang Liu, Qi Chen, Zhiling Guo, Haoran Zhang
Summary: This study proposed a method to assess the photovoltaic power potential in coal mining subsidence areas and predicted the levelized cost of energy and benefits. Using Yangquan City as a case study, the results showed that the optimal areas for PV power generation matched the existing facilities and could meet a portion of the city's electricity demand.
Article
Computer Science, Information Systems
Wenjing Li, Haoran Zhang, Jinyu Chen, Peiran Li, Yuhao Yao, Xiaodan Shi, Mariko Shibasaki, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki
Summary: Life pattern clustering is crucial for capturing the characteristics and regularity of daily life patterns. This study proposes a framework that efficiently identifies groups with similar life patterns based on millions of GPS records. The proposed method retains the original features of individual life pattern data and employs a metagraph-based data structure to capture the spatial-temporal similarity and diversity between individuals. Non-negative-factorization-based dimension reduction is used and the results show that our method effectively identifies similar life pattern groups, showcasing better computation efficiency and representational capacity compared to traditional methods. The insights gained from analyzing group characteristics can aid future urban and transportation planning, service improvement, and policy-making.
IEEE TRANSACTIONS ON BIG DATA
(2023)
Article
Multidisciplinary Sciences
Shijun Ma, Tianyang Lei, Jing Meng, Xi Liang, Dabo Guan
Summary: The refining industry is the third-largest source of global greenhouse gas emissions, and understanding the dynamics of contributors in this sector is crucial for targeted emission reduction. A global sub-refinery GHG emission dataset was established, showing that cumulative GHG emissions from refineries reached approximately 34.1 gigatons from 2000 to 2021, dominated by the United States, EU27&UK, and China. The top 20 countries with the largest GHG emissions accounted for 83.9% of global emissions in 2021, compared to 79.5% in 2000. Targeting a small number of super emission contributors could significantly reduce GHG emissions from global oil refining.
Article
Economics
Qingyang Wu, Chang Tan, Daoping Wang, Yongtao Wu, Jing Meng, Heran Zheng
Summary: China's coal-fired power plants account for more than half of the world's capacity. This paper examines the impact of China's carbon trading pilot program on emissions regulation using data from 1269 Chinese coal-fired power plants between 2009 and 2019. The results indicate that increasing carbon prices have the potential to significantly reduce emissions intensity, particularly for high-cost plants in China's midland and western regions. The study suggests that higher carbon prices may prompt utilities to retire high-emission power plants earlier than planned, resulting in lower emissions intensity. The average retirement years of China's power plants could be shortened by 1.8001 and 1.6862 years under different scenarios.
Article
Economics
Liqiao Huang, Yin Long, Jundong Chen, Yoshikuni Yoshida
Summary: In this study, the carbon footprint embodied in household consumption behavior of 11 major metropolitan areas in Japan is examined. The findings show that eating contributes most substantially to the carbon footprint, while transportation activities manifest the greatest regional inequality. These findings provide indispensable evidence for the development of city-specific net-zero-emission goals within Japan and highlight the value of incorporating a temporal dimension into household carbon footprint analyses.
Article
Engineering, Civil
Yuhao Yao, Haoran Zhang, Jinyu Chen, Wenjing Li, Ryosuke Shibasaki, Xuan Song
Summary: Human mobility similarity comparison is crucial for modeling city dynamics and has a significant impact on developing intelligent transportation systems. We propose a mobility expression called mobility tableau and a corresponding similarity measurement approach by expanding the origin-destination matrix. Compared to traditional mobility comparison methods, mobility tableau comparison provides multi-dimensional similarity information. Sensitivity analysis based on real GPS data supports the robustness of our approach. Our method demonstrates better performance in two case studies, validating its practicality and superiority.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Yuhao Yao, Haoran Zhang, Lifeng Lin, Guixu Lin, Ryosuke Shibasaki, Xuan Song, Keping Yu
Summary: This paper proposes an intelligent delivery system based on IoT positioning technology, which overcomes the security, privacy, and attractiveness issues of the traditional IoT positioning technology system by introducing blockchain system and location information encryption.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Liqiao Huang, Sebastian Montagna, Yi Wu, Zhiheng Chen, Kenji Tanaka, Yoshikuni Yoshida, Yin Long
Summary: Household consumption plays a significant role in greenhouse gas emissions, but there is a lack of comprehensive and consistent data. In this study, we expand and update Japan's monthly household carbon footprint using government statistics and surveys, creating a dataset with 37,692 direct emission and 4,852,845 indirect emission records. This dataset provides critical spatiotemporal information for analyzing emission patterns and regional variances, as well as identifying specific consumption habits for regulating individual behavior towards a low-carbon society.
Correction
Multidisciplinary Sciences
Liqiao Huang, Sebastian Montagna, Yi Wu, Zhiheng Chen, Kenji Tanaka, Yoshikuni Yoshida, Yin Long
Article
Engineering, Chemical
Yufei Wang, Jui-Yuan Lee, Haoran Zhang
Article
Green & Sustainable Science & Technology
Siyi Kan, Bin Chen, U. Martin Persson, Guoqian Chen, Yutao Wang, Jiashuo Li, Jing Meng, Heran Zheng, Lan Yang, Rui Li, Mingxi Du, Thomas Kastner
Summary: Despite global conservation initiatives, unfragmented intact forest landscapes (IFLs) continue to be lost due to various economic activities. Non-agricultural products are major contributors to IFL loss, with over 60% linked to final consumption. Export, primarily from Russia, Canada, and tropical regions, accounts for more than one-third of IFL loss, with logging and mining as the major causes. It is crucial for governments to engage and intervene in supply chains to address the dispersed drivers of IFL loss and their indirect links to individual consumers.
Article
Environmental Studies
Yin Long, Yoshikuni Yoshida, Yida Jiang, Liqiao Huang, Wentao Wang, Zhifu Mi, Yosuke Shigetomi, Keiichiro Kanemoto
Summary: As urbanization accelerates, cities become major contributors to adverse environmental consequences due to the high demand for energy and services. This study fills the knowledge gap in city-level climate protection measures by providing a detailed carbon emission inventory based on citizens' daily consumption behaviors. The analysis of carbon emissions in 47 cities in Japan reveals consistent carbon footprints during the COVID-19 pandemic, showcasing the importance of utilizing city-level emission data to improve household green consumption behavior and promote decarbonization.
NPJ URBAN SUSTAINABILITY
(2023)
Article
Environmental Sciences
Xin Wang, Jing Meng, Miaomiao Liu, Jun Bi
Summary: The Belt and Road Initiative has made progress in railway project construction invested by China, but the environmental impacts of these projects are often overlooked. This study quantifies the carbon footprint of China's overseas railway project construction under the BRI and identifies potential carbon reduction strategies. The results show that upgrading the technological levels of BRI countries to China's average level can significantly mitigate carbon emissions. These findings provide valuable insights for achieving sustainable project construction and promoting green development under the BRI.
Article
Multidisciplinary Sciences
Yin Long, Liqiao Huang, Rinakira Fujie, Pan He, Zhiheng Chen, Xiaoyan Xu, Yoshikuni Yoshida
Summary: This study uses an integrated approach to quantify the carbon footprint of specific recipes using Environmentally Extended Input-Output analysis and hybrid Life Cycle Assessment, while also providing nutritional value data. This helps the food industry and individuals make more sustainable dietary choices.
Article
Multidisciplinary Sciences
Sai Liang, Qiumeng Zhong, Haifeng Zhou, Yihan Liao, Jing You, Jing Meng, Cuiyang Feng, Chen Lin
Summary: This study reveals the rebound and mitigation effects of efficiency-related technological progress in global value chains on greenhouse gas emissions. The study shows that different sectors in the value chains have different potentials for emission mitigation, with upstream sectors having stronger rebound effects and trailing end sectors having greater potential for emission reduction.
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.
