Article
Economics
Renaldi Renaldi, Richard Hall, Tooraj Jamasb, Anthony P. Roskilly
Summary: This study presents the experience curves of low-carbon domestic heating technologies in the UK from 2010 to 2019, highlighting their deployment as a key action for decarbonizing the heating sector. The findings show that the experience rates of these technologies are significantly lower than those reported in the literature, providing valuable insights for energy economics models and policymakers. The study also suggests that gas boilers may have reached a floor price, prompting the need for further deployment programs.
Review
Chemistry, Multidisciplinary
Changsoo Kim, Chun-Jae Yoo, Hyung-Suk Oh, Byoung Koun Min, Ung Lee
Summary: This paper reviews various carbon dioxide utilization (CDU) technologies in terms of efficiency, maturity, and cost. The technologies are sorted according to their application status and CO2 utilization capacity. The current status and potential for long-term usage of each technology are discussed, and insights are provided on integrating different methods to achieve a net-zero environment.
JOURNAL OF CO2 UTILIZATION
(2022)
Review
Biotechnology & Applied Microbiology
Anurag S. Rathore, Anurag Singh
Summary: The growing interest in utilizing biomass for fuels and chemicals due to environmental concerns has led to advancements in conversion technologies, including thermochemical and biochemical processes. The key focus is on developing catalysts and optimizing process parameters to improve economics. Efforts are being made to utilize cheaper substrates like lignocellulosic biomass and CO2-sequestering algae, with developments in conversion technologies for these biomass sources still evolving. Additionally, there is a strong emphasis on process optimization for deriving platform chemicals from biomass to enhance value and sustainability.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Prabadevi, N. Deepa, Kapal Dev, Thippa Reddy Gadekallu, Rukhsana Ruby, Madhusanka Liyanage
Summary: Industry 5.0 is the future industrial revolution that aims to leverage human expertise in collaboration with intelligent machines to achieve more efficient manufacturing solutions than Industry 4.0. This article introduces the potential applications and supporting technologies of Industry 5.0, and highlights the research challenges and open issues that need to be further developed.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Biodiversity Conservation
Salma Habib, Furqan Tahir, Fabiha Hussain, Nadine Macauley, Sami G. Al-Ghamdi
Summary: Carbon capture, storage, and sequestration play a crucial role in mitigating the adverse effects of climate change. To achieve the 2 degrees C target, it is essential to implement both artificial and natural carbon capturing techniques and utilize renewable resources. This review critically examines various natural carbon pools, methodologies, and modeling techniques for carbon accounting, providing specific recommendations and highlighting the potential benefits of natural carbon sinks. Ground and field measurements are identified as the most accurate methods, while satellite earth observation, drone, and airborne measurements show significant potential for enhancing ecosystem analysis.
ECOLOGICAL INDICATORS
(2023)
Review
Food Science & Technology
Abdo Hassoun, Nour Alhaj Abdullah, Abderrahmane Ait-Kaddour, Mohamed Ghellam, Aysegul Besir, Oscar Zannou, Begum Onal, Rana Muhammad Aadil, Jose M. Lorenzo, Amin Mousavi Khaneghah, Joe M. Regenstein
Summary: Food Traceability 4.0 (FT 4.0) focuses on tracing foods using techniques and technologies related to the fourth industrial revolution (Industry 4.0). This review highlights the importance of digital solutions and Industry 4.0 innovations in enhancing food traceability and combatting food fraud. The main enablers of FT 4.0 are blockchain, the Internet of things, artificial intelligence, and big data.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2022)
Article
Multidisciplinary Sciences
Daniel Gutierrez-Rojas, Arun Narayanan, Cassia R. Santos Nunes Almeida, Gustavo M. Almeida, Diana Pfau, Yu Tian, Xu Yang, Alex Jung, Pedro H. J. Nardelli
Summary: This paper reviews the key information and communication technologies required for building an effective industrial energy management system. It introduces the concept of software-defined energy networks and explores the applications of artificial intelligence, networked data, demand-side management, etc., in industrial plants. It also provides a framework for understanding the complexities of managing renewable energy sources in industrial plants.
Article
Environmental Studies
Matthew Brander, Francisco Ascui, Vivian Scott, Simon Tett
Summary: This study identifies five distinct accounting issues related to Negative Emissions Technologies (NETs) and proposes solutions. It suggests that carbon accounting methods should follow a 'reality principle' to report emissions and removals, and the correct accounting method should be used for its appropriate purpose.
Article
Green & Sustainable Science & Technology
Mohammed M. Mabkhot, Pedro Ferreira, Antonio Maffei, Primoz Podrzaj, Maksymilian Madziel, Dario Antonelli, Michele Lanzetta, Jose Barata, Eleonora Boffa, Miha Finzgar, Lukasz Pasko, Paolo Minetola, Riccardo Chelli, Sanaz Nikghadam-Hojjati, Xi Vincent Wang, Paolo C. Priarone, Francesco Lupi, Pawel Litwin, Dorota Stadnicka, Niels Lohse
Summary: Industry 4.0, driven by technological advancements, is seen as a way to promote economic growth and sustainability. However, the specific impact of these technologies on the United Nations Sustainable Development Goals has not been thoroughly investigated. Understanding the connection between Industry 4.0 technologies and the SDGs can help support policymakers in updating policies and strategies to align with the goals.
Review
Biochemistry & Molecular Biology
Ravindra Prajapati, Kirtika Kohli, Samir K. Maity, Brajendra K. Sharma
Summary: Plastic is a versatile material used across various industries, but excessive use has led to significant waste pollution. Converting plastic waste into high-value chemicals can help reduce plastic waste, decrease reliance on petroleum, and protect the environment.
Article
Business
Mauro Capestro, Cristian Rizzo, Tomas Kliestik, Alessandro M. Peluso, Giovanni Pino
Summary: Changes in the global market have brought challenges for industrial districts and increased competition. Adopting information and digital technologies has become crucial for district firms to innovate and effectively manage relationships and gain competitive advantage. This study investigates the path for technology adoption by examining how trust and knowledge sharing influence the factors determining digital technology adoption.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Environmental Studies
Emma ter Mors, Esther van Leeuwen
Summary: The deployment of low-carbon technologies is crucial in mitigating climate change. However, local resistance may occur. Two experimental surveys showed that giving local residents a genuine voice opportunity can increase project acceptance, while pseudo voice or no voice opportunities can decrease acceptance. Policymakers and project developers should prioritize genuine voice opportunities for local residents.
ENERGY RESEARCH & SOCIAL SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
Euripides P. Kantzas, Maria Val Martin, Mark R. Lomas, Rafael M. Eufrasio, Phil Renforth, Amy L. Lewis, Lyla L. Taylor, Jean-Francois Mecure, Hector Pollitt, Pim V. Vercoulen, Negar Vakilifard, Philip B. Holden, Neil R. Edwards, Lenny Koh, Nick F. Pidgeon, Steven A. Banwart, David J. Beerling
Summary: Enhanced rock weathering strategies have the potential to achieve significant carbon dioxide removal and agricultural co-benefits in UK croplands. This approach could serve as a guide for other nations in pursuing emissions reduction and decarbonizing agriculture.
Article
Environmental Sciences
Hanan A. Jafar, Roy M. Harrison
Summary: There is an increasing scientific interest in carbonaceous aerosols due to their effects on local air quality and climate. An analysis of the UK air monitoring networks from 2009 to 2017 reveals regional variations in carbonaceous aerosol concentrations, with Black Carbon levels highest at kerbside sites and lowest at rural sites, Brown Carbon showing no clear variation by site classification, and total organic carbon and secondary organic carbon peaking in winter at urban and kerbside sites.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Santosh O. Ramchuran, Frances O' Brien, Nonwabiso Dube, Veshara Ramdas
Summary: Recently, there has been a strong emphasis on greener and sustainable chemical processes and products, which require reworking and adapting traditional methods. This article focuses on introducing biobased products as replacements in the petroleum-driven market, either as direct replacements, functional replacements, or through novel products. It highlights the potential of widely adopted biobased chemicals as value-added products and discusses the current status and future prospects of using biological routes and renewable resources to produce biobased products.
CURRENT OPINION IN GREEN AND SUSTAINABLE CHEMISTRY
(2023)
Editorial Material
Cell Biology
Julia Bowsher, Elizabeth L. Jockusch, Lisa Nagy
SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY
(2023)
Editorial Material
Pediatrics
C. D. Anthony Herndon, Anthony Caldamone, Yves Heloury, Rosalia Misseri, Caleb Nelson, Raimund Stein
JOURNAL OF PEDIATRIC UROLOGY
(2023)
Editorial Material
Environmental Studies
Thomas B. Fischer
IMPACT ASSESSMENT AND PROJECT APPRAISAL
(2023)
Editorial Material
Water Resources
Michael Nones
INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT
(2023)
Editorial Material
History
Fiona Paisley, Tim Rowse
AUSTRALIAN HISTORICAL STUDIES
(2023)
Editorial Material
Psychology, Clinical
Sue Kegerreis
PSYCHODYNAMIC PRACTICE
(2023)
Editorial Material
Medieval & Renaissance Studies
Richard Maber
SEVENTEENTH CENTURY
(2023)
Editorial Material
Religion
Benjamin Harrison
ECCLESIASTICAL LAW JOURNAL
(2023)
Editorial Material
Engineering, Geological
Mike J. Harbottle
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GROUND IMPROVEMENT
(2023)
Editorial Material
Engineering, Marine
Peter Wellens
INTERNATIONAL SHIPBUILDING PROGRESS
(2023)
Editorial Material
Public, Environmental & Occupational Health
Julian Ashton
JOURNAL OF PUBLIC MENTAL HEALTH
(2023)
Editorial Material
Humanities, Multidisciplinary
Alexandra Kim, Christine Stevens
COSTUME-THE JOURNAL OF THE COSTUME SOCIETY
(2023)
Editorial Material
Law
Russell Buchan, Emily Crawford, Rain Liivoja
JOURNAL OF INTERNATIONAL HUMANITARIAN LEGAL STUDIES
(2023)
Editorial Material
Religion
Abrahim H. Khan
TORONTO JOURNAL OF THEOLOGY
(2023)
Editorial Material
Industrial Relations & Labor
Maarten Keune, Philippe Pochet
TRANSFER-EUROPEAN REVIEW OF LABOUR AND RESEARCH
(2023)
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.