Article
Geosciences, Multidisciplinary
Igor Linkov, Benjamin D. Trump, Joshua Trump, Gianluca Pescaroli, William Hynes, Aleksandrina Mavrodieva, Abhilash Panda
Summary: This paper discusses the vulnerabilities of critical infrastructure to various stressors and proposes stress testing as a method for identifying risks and selecting mitigation and recovery strategies. The existing risk-based stress testing approaches may have limitations and the inclusion of systems thinking and interconnectedness is crucial.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Engineering, Industrial
Adel Mottahedi, Farhang Sereshki, Mohammad Ataei, Ali Nouri Qarahasanlou, Abbas Barabadi
Summary: Resilience is a growing concept in managing engineering systems, but estimating system resilience is challenged by lack of historical data and limited information. Current studies use various indices to quantify resilience, but lack detailed examination of influencing factors. This paper aims to develop a practical methodology using expert judgment and fuzzy set theory to effectively model factors influencing resilience, demonstrated with an underground coal mine fan system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Review
Geosciences, Multidisciplinary
Robert Osei-Kyei, Vivian Tam, Mingxue Ma, Fidelis Mashiri
Summary: This study critically analyzed potential threats to governments' efforts and capacity in building CI resilience. Researchers have shown increased interest in exploring threats in CIs resilience, with most research publications originating from the United States and United Kingdom. By identifying 31 main threats, the findings of this study offer a foundation for future research and policy-making.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Review
Construction & Building Technology
Wenque Liu, Ming Shan, Sheng Zhang, Xianbo Zhao, Zhao Zhai
Summary: This study aims to fill the knowledge gap by comprehensively reviewing infrastructure research conducted from 2011 to 2021. It identified five research streams in infrastructure resilience and proposed directions for future research, including analyzing factor influencing infrastructure resilience, assessing green infrastructure resilience, improving interdependent infrastructure resilience, and predicting infrastructure resilience based on empirical research.
Article
Engineering, Industrial
Min Xu, Min Ouyang, Liu Hong, Zijun Mao, Xiaolin Xu
Summary: This paper proposes a two-stage stochastic repair model that considers uncertainty, and solves the recovery decision problem under large-scale and small-scale disruptions using scenario generation and reduction method and an efficient enumeration algorithm. Numerical experiments demonstrate the efficiency of the proposed algorithm and indicate that the stochastic solution might not be as good as the deterministic solution when a large number of repair time scenarios are considered.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Energy & Fuels
David Rehak, Simona Slivkova, Heidi Janeckova, Dominika Stuberova, Martin Hromada
Summary: This article provides a methodological overview of resilience strengthening in the critical energy infrastructure sector and presents suitable tools for enhancing resilience, both internal and external.
Article
Engineering, Industrial
Fellipe Sartori da Silva, Jose Alexandre Matelli
Summary: This study aims to further develop a method for evaluating resilience in energy systems by considering system recovery and introducing new metrics. The findings suggest that all metrics converge to identify the same system as the most resilient, highlighting the importance of redundancy in system design. Additionally, incorporating repairing actions can enhance the resilience of all systems, particularly those with lower inherent resilience. Results also show that operational time and repair probability are key factors in resilience evaluation, indicating that improving repair conditions can be just as effective as including redundancies in system design.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Review
Engineering, Marine
Lamis Amer, Murat Erkoc, Rusty A. Feagin, Sabarethinam Kameshwar, Katharine J. Mach, Diana Mitsova
Summary: There is increasing interest in defining and building indicators of resilience for addressing sea-level rise challenges. Most current methods rely on lagging indicators based on historical performance, but there are concerns about their effectiveness in adaptive decision-making across multiple sub-systems and stakeholders. As an alternative, leading indicators based on structural characteristics are gaining popularity for revealing gaps in resilience planning and evaluating adaptation activities. This study presents a survey of literature on these leading indicators in the context of sea-level rise and proposes research directions for incorporating resilience into decision-making on infrastructure adaptation.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Energy & Fuels
Kuljeet Singh, Caroline Hachem-Vermette
Summary: This work proposes a technique to enhance the infrastructure and energy resilience of new developments during the planning stage. It introduces several parameters to quantify resilience and suggests solutions such as relocating populations and designing onsite energy resources to eliminate vulnerabilities. The results demonstrate significant improvements in both infrastructure and energy resilience.
Article
Energy & Fuels
Martin Hromada, David Rehak, Ludek Lukas
Summary: The electricity sector is crucial as the supply it provides is vital for society and its basic functions. Therefore, monitoring the resilience level of infrastructure elements, especially against threats with multispectral impact, is necessary. The Converged Resilience Assessment (CRA) method, developed in the article, enables advanced assessment of electricity critical infrastructure elements' resilience from a converged security perspective, focusing on information and situation management.
Review
Engineering, Industrial
Bjorn Arvidsson, Jonas Johansson, Nicklas Guldaker
Summary: This paper examines the challenges of governing and managing critical infrastructure risk and resilience, and explores cross-disciplinary approaches to address these challenges, focusing on GIScience and Risk Governance. The results highlight natural hazard modeling, network analysis, data management, and geovisualization in the CI and GIScience intersection, as well as socio-cultural dimensions in the CI and RG intersection as key areas for further research and application. Challenges in cross-disciplinary research and practical applications include concept harmonization, confidential data management, and addressing non-technical CI sectors, indicating the need for further interdisciplinary efforts in the young and growing CI field.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Environmental Sciences
Kevin T. Logan, Michaela Lestakova, Nadja Thiessen, Jens Ivo Engels, Peter F. Pelz
Summary: This study introduces an exploratory, historically-informed approach for assessing resilience within a water distribution system due to critical events causing demand relocation. The results analyze the impact of evacuated area size, feasibility of sheltering schemes, vulnerability of specific city areas, and suitability of network nodes for accommodating relocated demand.
Article
Engineering, Industrial
Armin Tabandeh, Neetesh Sharma, Paolo Gardoni
Summary: This paper proposes a novel formulation for uncertainty propagation in risk and resilience analysis of hierarchical systems. The main challenges lie in the complexity of the computational workflow and high-dimensional probability space. The proposed formulation includes a multi-level uncertainty propagation approach to reduce problem dimensionality and a variables-grouping approach to reduce the number of model evaluations.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Multidisciplinary Sciences
Mark M. Dekker
Summary: Railway systems are crucial for modern societies, but susceptible to disruptions and delays, making delay spreading hard to predict. This study analyzes delay structures in four European countries' railway systems using a graph-based model and spectral clustering, providing boundaries for local decision-making and risk assessment.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Analytical
Alessandro Fausto, Giovanni Battista Gaggero, Fabio Patrone, Paola Girdinio, Mario Marchese
Summary: Critical infrastructures are vulnerable to physical and cyber threats, requiring high levels of protection. This study proposes a Machine Learning-based approach to detect anomalies by correlating data from both physical and cyber domains, achieving promising results in detecting abnormal situations.
Article
Green & Sustainable Science & Technology
Larry Hughes, Moniek de Jong, Zach Thorne
Summary: Reducing emissions requires significant changes in energy production and consumption, with a focus on improving energy efficiency and decreasing carbon intensity. Analysis methods can distinguish between the coupling of end-use sectors with energy systems and the levels of carbonization of energy supplies.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Green & Sustainable Science & Technology
Larry Hughes, Moniek de Jong
Summary: Global heating is increasing risks across various sectors of society, including agriculture, the built environment, and transportation. This study uses an energy security methodology to explore the climate risks to hydroelectric power supply in western Canada, highlighting how increasing heatwaves may impact electricity supply in the region.
Article
Energy & Fuels
Moniek de Jong, Tim Haesebrouck
Summary: Around 60% of internationally traded gas is transported through pipelines. The success or failure of gas pipelines in Europe is explained by a six condition explanatory framework, including support from involved states, powerful member states, the Commission and the US, as well as the number of stakeholders and technical difficulties. A study on 21 European gas pipeline projects found that support from involved parties, powerful member states and the Commission is crucial for successful construction, while the absence of these conditions has the opposite effect.
ENERGY STRATEGY REVIEWS
(2023)
Article
Energy & Fuels
Moniek de Jong
Summary: The article "Nord Stream 2 Pipeline: History, Impact, and Failure" is a narrative review that examines the key events and factors leading to the failure of the Nord Stream 2 pipeline project. It relies on comprehensive scholarly research, analysis, and news reports, highlighting the significance of the project as a prism for understanding complex energy politics.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2023)
Article
Area Studies
Moniek de Jong, Thijs Van de Graaf, Tim Haesebrouck
Summary: The Nord Stream 2 gas pipeline has caused divisions within the EU, with some member states supporting it, others opposing it, and some adopting a neutral stance. This study examines the factors that have led to these varying national positions. The research finds that material benefits and Russia's role are relevant conditions in shaping countries' positions on Nord Stream 2.
JOURNAL OF CONTEMPORARY EUROPEAN STUDIES
(2022)
Article
International Relations
Moniek de Jong, Thijs Van de Graaf
Summary: Scholars have debated the EU's representation of 'power', with a consensus emerging that the Commission is asserting regulatory power externally. This paper fills the gap by tracing the Commission's efforts to block the Nord Stream 2 project. Our analysis shows the Commission's attempts to achieve geopolitical goals through legal means have largely been ineffective.
JOURNAL OF EUROPEAN INTEGRATION
(2021)
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.
