Article
Thermodynamics
Azzam Abu-Rayash, Ibrahim Dincer
Summary: To address the demand for clean energy and reduce greenhouse gas emissions, this study focuses on a newly developed hybrid renewable energy system that combines solar and wind energy with compressed air energy storage and battery storage solutions. The system aims to provide a sustainable solution for a small city's energy needs and achieves high energy and exergy efficiencies.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Review
Engineering, Industrial
Georgiana Sandu, Olga Varganova, Behzad Samii
Summary: This study reviews the sustainable perspective of physical asset management through text analytics methods and proposes a conceptual framework, highlighting the role and trends of asset-intensive sectors such as construction and energy in sustainable development.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Construction & Building Technology
Mohamed Maaouane, Mohammed Chennaif, Smail Zouggar, Goran Krajac, Salaheddine Amrani, Hassan Zahboune
Summary: By using sequential search optimisation technique and Building Information Modeling, this research proposes energy efficiency measures for prototype buildings in North African region. The study develops comprehensive models and a new code that considers different climatic zones and types of buildings. The analysis shows that optimizing design features of airconditioned buildings can significantly reduce energy consumption by 31-56%. It also highlights the importance of implementing energy efficiency methods and policies to improve the energy performance of buildings in the region.
ENERGY AND BUILDINGS
(2023)
Article
Green & Sustainable Science & Technology
Beatrice Marchi, Simone Zanoni
Summary: Perishable goods require cold chains for freshness, and energy consumption is significant. The present study proposes an energy flow mapping approach to evaluate energy performance and prioritize energy efficiency measures in the cold chain.
Article
Green & Sustainable Science & Technology
K. M. Nazmul Islam, Tapan Sarker, Farhad Taghizadeh-Hesary, Anashuwa Chowdhury Atri, Mohammad Shafiul Alam
Summary: In Bangladesh, the livestock sector has shown rapid growth in GHG emissions, with circular economy-based resource consumption aiding in climate change mitigation, although commercial biogas generation from livestock wastes remains underutilized.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Nadiia Artyukhova, Inna Tiutiunyk, Sylwester Bogacki, Tomasz Wolowiec, Oleksandr Dluhopolskyi, Yevhen Kovalenko
Summary: The article examines the effects of economic, ecological, and social development on sustainable energy development, using statistical analysis and intelligent data analysis methods. It provides useful insights for policymakers in forming effective mechanisms for sustainable energy development.
Article
Engineering, Industrial
Juan Manuel del Campo Yanez, Michelle Min Ji Lee, Omar Swei
Summary: Transport agencies face increasing pressure to reduce the global warming impact of pavement systems. This paper introduces a network-level tool that aims to balance the objectives of maximizing pavement condition and minimizing global warming impact. The stochastic optimization model considers individual facilities and guides resource allocation across the network. The case study results reveal the impact of pavement management goals and budget policies on global warming impact.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2023)
Article
Construction & Building Technology
Husam Sameer, Guillaume Behem, Clemens Mostert, Stefan Bringezu
Summary: Buildings play a crucial role in achieving Sustainable Development Goals, especially in terms of resource utilization and greenhouse gas emissions. This article proposes a novel methodology in Building Information Modeling to assess the resource and climate footprints of heating systems in buildings, using a case study in Germany. The results indicate that heating system operations have the largest impact, and the combination of ground-source heat pump and photovoltaics has the lowest environmental footprint.
Article
Green & Sustainable Science & Technology
Prassan Shah, Navneet Khanna, Radoslaw W. Maruda, Munish Kumar Gupta, Grzegorz M. Krolczyk
Summary: This experimental work compares the machining performance of cryogenic machining and conventional flood machining for drilling titanium alloy, finding that cryogenic machining is more sustainable and effective, serving as a potential substitute for traditional flood coolant.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2021)
Article
Engineering, Marine
Seyed Vahid Vakili, Aykut Olcer, Alessandro Schonborn
Summary: The study presents a transdisciplinary framework to address energy efficiency barriers during the shipbuilding phase. Economic barriers have the greatest impact on the shipyard's energy performance, while human barriers have the least impact. The framework can be applied to other stages of the ship life cycle and industries, helping decision-makers prioritize energy efficiency investments.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Editorial Material
Chemistry, Physical
Jean-Paul Lange
Summary: This article presents simple metrics that can guide early catalysis research to promote sustainable and affordable manufacturing of fuels and chemicals. These metrics focus on resource efficiency, waste/CO2 production, selectivity, and conversion performances in the process.
Article
Engineering, Electrical & Electronic
Taehyung Kim, Hyunsoo Kim, Sooyong Choi, Daesik Hong
Summary: This article discusses the challenges of deploying cell-free systems in commercial mobile networks, proposing a transitional architecture called the cell-free and legacy coexistence network (CLCN). It explores technical challenges, design considerations, and practical system layouts. Simulations show that gradual installation of APs in legacy cellular systems can reduce the performance gap and improve system efficiency.
IEEE COMMUNICATIONS MAGAZINE
(2022)
Review
Green & Sustainable Science & Technology
Menghang Zhang, Tingxiang Yan, Wei Wang, Xuexiu Jia, Jin Wang, Jirf Jaromfr Klemes
Summary: A comprehensive review on crucial energy-saving strategies in the greenhouse sector is presented in this paper. The strategies include greenhouse design considerations, ventilation and lighting systems, and the application of renewable energy technologies. The research findings show that appropriate greenhouse renovation can save more than half of the energy. Control strategies for improving energy efficiency and the life cycle environmental impacts of greenhouses are also discussed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Construction & Building Technology
Y. Elaouzy, A. El Fadar
Summary: This study investigates the impact of high, low, and zero carbon tax levels on the environmental and economic benefits of using photovoltaic, earth-to-air heat exchanger, and thermal insulation strategies in residential buildings. The findings show that zero-carbon tax locations achieve the greatest CO2 emissions benefits, while high-carbon tax locations exhibit the highest savings-to-investment ratios and shortest payback periods. Levying carbon taxes can encourage building owners to adopt sustainable strategies.
BUILDING AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Esperanza Batuecas, Daniel Serrano, Alen Horvat, Pedro Abelha
Summary: This study analyzed eight experimental conditions for gasification and found that a combination of high temperature, low equivalence ratio, and steam addition offered the most environmentally sustainable process, significantly reducing the environmental impacts such as climate change, ozone depletion, and particulate matter emissions. However, further efforts are needed to reduce the energy consumption of the preheating system to match the quality of conventional natural gas.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Automation & Control Systems
Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie
IEEE TRANSACTIONS ON CYBERNETICS
(2019)
Article
Energy & Fuels
Ming Yan, Chien Aun Chan, Andre F. Gygax, Jinyao Yan, Leith Campbell, Ampalavanapillai Nirmalathas, Christopher Leckie
Article
Automation & Control Systems
Zhanghan Tang, Margreta Kuijper, Michelle S. Chong, Iven Mareels, Christopher Leckie
Article
Computer Science, Artificial Intelligence
Masoomeh Zameni, Amin Sadri, Zahra Ghafoori, Masud Moshtaghi, Flora D. Salim, Christopher Leckie, Kotagiri Ramamohanarao
KNOWLEDGE AND INFORMATION SYSTEMS
(2020)
Article
Computer Science, Artificial Intelligence
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma
KNOWLEDGE AND INFORMATION SYSTEMS
(2020)
Article
Transportation Science & Technology
Jiaman Ma, Jeffrey Chan, Goce Ristanoski, Sutharshan Rajasegarar, Christopher Leckie
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Chemistry, Analytical
Ming Yan, Shuijing Li, Chien Aun Chan, Yinghua Shen, Ying Yu
Summary: This study proposes a weighted Markov prediction model based on mobile user classification, extracting user trajectory information from real mobile communication data, classifying users using machine learning algorithms, and optimizing weighting coefficients to improve prediction accuracy.
Article
Telecommunications
Denzil Furtado, Andre F. Gygax, Chien Aun Chan, Ashley I. Bush
Summary: Situated at the intersection of technology and medicine, the Internet of Things (IoT) holds the promise of addressing some of healthcare's most pressing challenges. However, the successful implementation of IoT healthcare initiatives has been slow. To promote collaboration, a problem-oriented approach to developing healthcare technologies is proposed. Fog computing is suggested as the most promising technological paradigm for building a robust and scalable healthcare IoT ecosystem.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Proceedings Paper
Energy & Fuels
Chien Aun Chan, Peng Hao, Andre F. Gygax, Ampalavanapillai Nirmalathas
2020 IEEE PELS WORKSHOP ON EMERGING TECHNOLOGIES: WIRELESS POWER TRANSFER (WOW)
(2020)
Proceedings Paper
Computer Science, Information Systems
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Ming Yan, Chien Aun Chan, Wenwen Li, Ling Lei, Qianjun Shuai, Andre F. Gygax, Chih-lin I
2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
(2019)
Proceedings Paper
Computer Science, Information Systems
Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri Ramamohanarao
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS
(2019)
Article
Computer Science, Information Systems
Ming Yan, Chien Aun Chan, Wenwen Li, Ling Lei, Andre F. Gygax, I Chih-Lin
Article
Telecommunications
Ming Yan, Wenwen Li, Chien Aun Chan, Sen Bian, I Chih-Lin, Andre F. Gygax
CHINA COMMUNICATIONS
(2019)
Article
Computer Science, Information Systems
Jiaojiao Jiang, Steve Versteeg, Jun Han, Md Arafat Hossain, Jean-Guy Schneider, Christopher Leckie, Zeinab Farahmandpour
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.