Review
Green & Sustainable Science & Technology
Abdollah Younesi, Hossein Shayeghi, Zongjie Wang, Pierluigi Siano, Ali Mehrizi-Sani, Amin Safari
Summary: This paper reviews the challenges and opportunities for evaluating and improving the resilience of the power system, emphasizing appropriate criteria and short and long-term plans. Practical methods and common metrics are discussed, and it is highlighted that microgrids have the potential to enhance the resilience of the power system.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Ines Bouacida, Jakob Wachsmuth, Wolfgang Eichhammer
Summary: This study assesses the impacts of achieving greenhouse gas neutrality by 2050 in the European Union on the natural gas system, with France and Germany as case studies. The results show that gas supply and demand will undergo radical changes by 2050, requiring significant transformations of the gas infrastructure and leading to an increase in end-user methane price.
ENERGY STRATEGY REVIEWS
(2022)
Review
Green & Sustainable Science & Technology
Enrica Raheli, Qiuwei Wu, Menglin Zhang, Changyun Wen
Summary: The integration of different energy systems is a promising solution to accommodate the rising share of renewable energy sources. Optimal operation of integrated electrical-gas systems can lead to lower operating costs and higher utilization of renewables. Various solution approaches, including linearization and decentralized optimization schemes, are discussed to tackle the challenges of co-optimization.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Review
Energy & Fuels
Ahmed Daeli, Salman Mohagheghi
Summary: Extreme weather events are a major cause of widespread power outages in distribution systems. The changing climate has increased the frequency and severity of these events, requiring a paradigm shift in grid design practices. Researchers have proposed various solutions to improve the resilience of the power grid against extreme events, but there is a lack of standard definitions and metrics for assessing resilience. This paper provides a literature review on the resilience of power grid infrastructure and identifies gaps in research and future directions.
Article
Chemistry, Physical
Zihang Zhang, Isam Saedi, Sleiman Mhanna, Kai Wu, Pierluigi Mancarella
Summary: The study presents a transient analysis model for tracking gas compositions and hydrogen fractions in meshed networks with multiple NG and intermittent hydrogen sources. By introducing a time-varying compressibility factor and numerical techniques, the method effectively addresses the decarbonization challenges in natural gas systems with hydrogen blending.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
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
Energy & Fuels
Luis M. M. Romeo, Marco Cavana, Manuel Bailera, Pierluigi Leone, Begona Pena, Pilar Lisbona
Summary: This study evaluates the influence of nonstoichiometric methanation under different H/C ratios on the limitations presented by pure hydrogen injection. It suggests that non-stoichiometric methanation could be an alternative to increase hydrogen injection in the gas network, facilitating the coupling of the gas and electricity sectors.
Article
Geography
Chethika Abenayake, Amila Jayasinghe, Hasintha Nawod Kalpana, Eshi Eranga Wijegunarathna, P. K. S. Mahanama
Summary: The transportation system is critical and can be significantly impacted by extreme weather events like urban flooding. However, most studies only focus on micro-scale approaches rather than looking at the holistic impact on the entire transportation system. This study presents a novel approach to assess the failure of the transportation system due to urban flooding and highlights the impact on human movement patterns.
Article
Energy & Fuels
Piotr Kosowski, Katarzyna Kosowska, Wojciech Nawalaniec
Summary: This article examines the relationships between variables in the natural gas market and their impact on underground gas storage facilities using Bayesian networks. The use of Bayesian networks allows for the modeling of various scenarios and statistical inferences. By analyzing factors such as consumption variability, LNG terminals, and the share of natural gas in electricity production, a better understanding of energy security can be achieved.
Article
Engineering, Multidisciplinary
Dmitrijs Guzs, Andrejs Utans, Antans Sauhats, Gatis Junghans, Jurijs Silinevics
Summary: This article evaluates the resilience of the Baltic power grid in the event of outage of a major natural gas-fired power plant, and presents related problems. This has significant importance for transmission system operators undergoing energy transition and preparing for operation in low-inertia grid modes.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Geosciences, Multidisciplinary
Jesse Dugan, Dahlia Byles, Salman Mohagheghi
Summary: Although long-duration power outages can lead to significant damages to the local economy, the human catastrophe that can potentially unfold due to the failure of essential services can far out-weigh the financial damages incurred. Furthermore, power outages do not impact individuals equally, and access to proper resources (or lack thereof) can significantly affect how individuals deal with long-duration outages. This study presents a three-dimensional metric of social vulnerability to quantify the degree to which a person's life or livelihood is put at risk by a long-duration power outage.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Energy & Fuels
Rui Shan, Ahmed Abdulla, Mingquan Li
Summary: Energy storage plays a crucial role in the energy transition, but there are operational modes that may conflict with wider power grid objectives while maximizing profits for storage system owners. This study compares different storage operation modes and highlights the essential role of policymakers and regulators in mitigating the potential negative effects.
Article
Chemistry, Physical
Ricardo Moreira dos Santos, Alexandre Szklo, Andra F. P. Lucena, Paulo Emilio V. de Miranda
Summary: Natural gas industry can develop a hydrogen industry based on CO2 capture technology, which can effectively utilize resources, reduce carbon emissions, and facilitate the transition to renewable energy-based hydrogen fuel. A stepwise strategy can be adopted by starting from the idle capacity in the existing natural gas industry to establish an independent supply.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Etoju Jacob, Hooman Farzaneh
Summary: This study presents the dynamic modeling and simulation of an off-grid DC microgrid system, and validates the model through real-time experiments. The results show that the microgrid system can effectively meet the load under different meteorological conditions, with a high sufficiency factor.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Environmental Sciences
Firas Gerges, Rayan H. Assaad, Hani Nassif, Elie Bou-Zeid, Michel C. Boufadel
Summary: The resilience of communities has become a major goal in policy and practice, with laws requiring climate-related hazard vulnerability assessments in master plan updates. Quantifying community resilience is crucial to measure preparedness and enhance capacity to endure disasters. Two approaches, community and infrastructure resilience, are being pursued, and a hybrid approach combining both is proposed.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Thermodynamics
Chenlu Tian, Yunyang Ye, Yingli Lou, Wangda Zuo, Guiqing Zhang, Chengdong Li
Summary: This paper proposes a new method (E-GAN) that combines a physics-based model (EnergyPlus) and a data-driven model (GAN) to predict the daily power demand for buildings at a large scale. The results show that E-GAN can accurately predict power demand with shorter computing time compared to the physics-based model.
BUILDING SIMULATION
(2022)
Article
Energy & Fuels
Jing Wang, Prateek Munankarmi, Jeff Maguire, Chengnan Shi, Wangda Zuo, David Roberts, Xin Jin
Summary: This study presents a rule-based carbon responsive control framework that adjusts building loads in real time based on the carbon emissions of the power grid. Simulation results show that this control method can significantly reduce carbon emissions from buildings while having minimal impact on energy cost and thermal discomfort.
Review
Construction & Building Technology
Xing Lu, Zhihong Pang, Yangyang Fu, Zheng O'Neill
Summary: This study provides a comprehensive review of the revolutions of CO2-based DCV in commercial buildings, focusing on trends and fundamental updates, particularly the correlation between indoor CO2 concentration and ventilation demands.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Xing Lu, Saptarshi Bhattacharya, Himanshu Sharma, Veronica Adetola, Zheng O'Neill
Summary: This paper investigates the impacts of nonidealities from occupancy counting and presence sensors on occupancy-centric controls (OCCs) and proposes a Bayesian Optimization (BO)-based smart sampling approach to efficiently identify the most impactful sensor nonideality sets. The results show that sensor bias and latency can increase HVAC and whole building energy consumption, and higher false positive rates of presence sensors have a direct impact on energy consumption.
ENERGY AND BUILDINGS
(2022)
Article
Thermodynamics
Zhihong Pang, Xing Lu, Zheng O'Neill
Summary: This paper presents an EnergyPlus-based parametric analysis to investigate the infection risk of COVID-19 in a typical medium-sized office building under different mechanical ventilation scenarios. The results suggest that the COVID-19 infection risk varies significantly with climate and season due to the impact of heating and cooling load on the supply airflow rate. Increasing the outdoor air fraction can reduce the infection risk and save energy in certain climate zones.
BUILDING SIMULATION
(2023)
Article
Thermodynamics
Yingli Lou, Yunyang Ye, Yizhi Yang, Wangda Zuo, Gang Wang, Matthew Strong, Satish Upadhyaya, Chris Payne
Summary: This study aims to develop individualized empirical baselines for existing buildings in a fast way. By creating building energy models and using mathematical models, engineers can obtain individualized empirical baselines in a few seconds.
SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT
(2023)
Review
Engineering, Multidisciplinary
Kathryn Hinkelman, Yizhi Yang, Wangda Zuo
Summary: Ecosystem biomimicry is a promising approach for sustainable development, but system-level ecosystem biomimicry is still a nascent practice in engineering fields. This review synthesizes trends, evaluates design methodologies, and identifies future opportunities for applying ecosystem biomimicry to engineering practices. Results show that organisms and ecosystems are most frequently mimicked in cyber-physical systems, while populations-communities and molecules-tissues-organ systems are frequently mimicked in cyber systems and physical systems, respectively. The review also provides a comprehensive reference for ecosystem biomimetic design practices and application opportunities in engineering domains.
BIOINSPIRATION & BIOMIMETICS
(2023)
Article
Construction & Building Technology
D. Amaripadath, R. Rahif, W. Zuo, M. Velickovic, C. Voglaire, S. Attia
Summary: As climate change progresses, the risk of overheating and excessive cooling in buildings in mixed humid climates in Europe is expected to increase. This study introduces a new approach to design cooling and heating systems in nearly zero-energy office buildings in Brussels, Belgium, taking into account the long-term effects of climate change. By using current and future climate data, the study assesses the impact of climate change on building performance and provides strategies to mitigate overheating and excessive cooling.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Yizhi Yang, Yingli Lou, Chris Payne, Yunyang Ye, Wangda Zuo
Summary: This study develops a method to comprehensively assess the long-term carbon intensity reduction potential of aggregated commercial buildings on a county-by-county basis in the continental U.S. The results reveal that the carbon intensity reduction potential of retrofitting K-12 school buildings in each county ranges from 0.41 kg/m2 to 40.00 kg/m2 from 2022 to 2050. Furthermore, the trends of carbon intensity reduction potential vary depending on electricity sources and climate zones.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Youngsik Choi, Xing Lu, Zheng O'Neill, Fan Feng, Tao Yang
Summary: In the post-COVID-19 era, the DOAS is widely recognized for its ability to provide fresh outdoor air and ensure acceptable indoor air quality. However, there are issues in the design and control of DOAS, such as insufficient ventilation and over-cooling. This paper proposes a simulation-based framework for optimizing the supply air temperature control sequence of DOAS to improve energy efficiency and guarantee implementability.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Xing Lu, Yangyang Fu, Zheng O'Neill
Summary: The design and retrofit of HVAC control systems are crucially important for energy efficiency. ASHRAE Guideline 36 (GDL36) was developed to provide standardized and high-performance rule-based HVAC control sequences. However, limited studies have verified the performance of these control sequences, and most focus on single-zone systems.
ENERGY AND BUILDINGS
(2023)
Article
Thermodynamics
Cary A. Faulkner, Dominik S. Jankowski, John E. Castellini, Wangda Zuo, Philipp Epple, Michael D. Sohn, Ali Taleb Zadeh Kasgari, Walid Saad
Summary: The study proposes a CGAN model for predicting indoor airflow distribution and addresses the limitations of current methods, including limited output prediction. A novel feature-driven algorithm is also designed to reduce the amount of expensive training data while maintaining prediction accuracy.
BUILDING SIMULATION
(2023)
Article
Thermodynamics
John E. E. Castellini Jr, Cary A. A. Faulkner, Wangda Zuo, Michael D. D. Sohn
Summary: In this study, a quantitative method for estimating the spatiotemporal variability of a room is proposed, based on influential room parameters. After simulating contaminant dispersion for different source locations, it was found that the standard deviation in the spatial distribution of exposure during the releasing period was approximately 28% of the source average exposure, while the variability in different average exposures was lower, only 10% of the total average. The results demonstrate that systematically characterizing a room's average concentration, its variability, and the spatial variability within the room can provide important insights into the uncertainty in occupant exposures relative to well-mixed models.
BUILDING SIMULATION
(2023)
Article
Construction & Building Technology
Sen Huang, Robert Lutes, Cary A. Faulkner, Draguna L. Vrabie, Srinivas Katipamula, Wangda Zuo
Summary: This paper presents a simulation framework for evaluating building control strategies using VOLTTRON, an opensource platform that integrates data, devices, and systems for sensing and control applications. The framework provides critical functionalities, including scalable communication management and time-drive simulation advance. The evaluation results of two BCSs show that they primarily benefit the heating operation but yield insignificant savings in electricity consumption, emphasizing the importance of tuning the parameters of the BCSs for better performances.
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(2023)
Article
Construction & Building Technology
Jonas Feron, Landolf Rhode-Barbarigos, Pierre Latteur
Summary: A physical model of a 3D tensegrity unit was built and tested both experimentally and numerically. The results showed that regardless of the geometric impacts, the internal forces followed the same linear trend. The compressive tests revealed a unique load-displacement relationship that depended on the self-stress level. This study provides a detailed overview of the structural behavior of the tensegrity unit and discusses the limitations of the analysis methods used.
JOURNAL OF STRUCTURAL ENGINEERING
(2023)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
