Since leaks in high-pressure pipelines transporting crude oil can cause severe economic losses, a reliable leak risk assessment can assist in developing an effective pipeline maintenance plan and avoiding unexpected incidents. The fast and accurate…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Since leaks in high-pressure pipelines transporting crude oil can cause severe economic losses, a reliable leak risk assessment can assist in developing an effective pipeline maintenance plan and avoiding unexpected incidents. The fast and accurate…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Since leaks in high-pressure pipelines transporting crude oil can cause severe economic losses, a reliable leak risk assessment can assist in developing an effective pipeline maintenance plan and avoiding unexpected incidents. The fast and accurate…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Downhole tools are complex electro-mechanical systems that perform critical functions in drilling operations. The electronics within these systems provide vital support, such as control, navigation and front-end data analysis from sensors. Due to the…
Direct load control (DLC) is an important way to achieve energy balance in power-gas coupled systems, but there is in lack of system reliability evaluation method considering the influence of DLC currently. Therefore, a power-gas coupled model based…
Power network is important part of national comprehensive energy resources transmission system in the way of energy security promise and the economy society running. Meanwhile, because of many industries involved, the development of grid can push…
The purpose of the paper is to present the implementation of FSO2 life extension program by using big data and the Industrial Internet of Things (lloT). We will explain why it was decided to implement the program and how to use big data and the…
Based on the big data theory and data mining of gas pipeline failure history, the key factors determining the safety of pipeline system are found out, such as probability, function, time and prescribed conditions. Based on the reliability principle,…
Wireless Sensor Networks (WSNs) involve top potential technologies that will dramatically change the way of human living and working. Many scientific, industrial and environmental applications require real time information related to physical events…
The oil and gas industrial sector is nowadays inclined towards utilizing smart field technologies for optimizing various operations of upstream, midstream and downstream sectors. The recent advances in Internet of things (IoTs) have promising…
Reliability is a critical metric in the design and development of replication-based big data storage systems such as Hadoop File System (HDFS). In the system with thousands of machines and storage devices, even in-frequent failures become likely. In…
In this paper, a method for leak detection in industrial pipelines during normal operation, is proposed. An accelerometer set on the surface of the pipe was used for the data acquisition. The system, via adapting filtering detects the frequency bands…
Today, due to intentional and unintentional events, the resilience and reliability of modern distribution networks is under attack. Reliable and quick service restoration (SR) strategy is a key factor to improve self-healing and resupplying out of…
As extreme weather events have become more frequent in recent years, improving the resilience and reliability of power systems has become an important area of concern. In this paper, a robust preventive-corrective security-constrained optimal power…
Electrical energy is now the biggest driving force on earth. The dependence and widespread use of electricity has its equivalent pros and cons. Thus modernization of the traditional grid system in order to overcome the major setbacks is the need of…
This paper describes about an efficient control strategy applied to DC Microgrid based on various surveys conducted for this study. This DC microgrid is integrated with renewable energy sources. For any Microgrid structure, an efficient control…
The new developments in mobile edge computing (MEC) and vehicle-to-everything (V2X) communications has positioned 5G and beyond in a strong position to answer the market need towards future emerging intelligent transportation systems and smart city…
The Internet of Things (IoT) has been widely adopted in a range of verticals, e.g., automation, health, energy, and manufacturing. Many of the applications in these sectors, such as self-driving cars and remote surgery, are critical and high stakes…
Solar energy generation requires efficient monitoring and management in moving towards technologies for net-zero energy buildings. This paper presents a dependable control system based on the Internet of Things (IoT) to control and manage the energy…
Microgrids have been considered an essential component for improving the efficiency, resilience and reliability of the evolving electric power grid. Their modularity adds to the operational flexibility of the system in addition to provision for…
In recent years, Microgrids (MGs), a widely acceptable smaller-scale energy infrastructure, are proved to be valuable in their resilience and reliability specially during extreme disasters that cause blackouts and major grid instabilities and being…
The success of blockchain-based solutions, not only on a large scale, but since the beginning of the pilot phase, depends on a set of key factors such as performance, efficiency, usability, scalability. In particular, security, privacy and trust are…
Networked flying platforms can be used to provide cellular coverage and capacity. Given that 5G and beyond networks are expected to be always available and highly reliable, resilience and reliability of these networks must be investigated. This paper…
The digital transformation brought on by 5G is redefining current models of end-to-end (E2E) connectivity and service reliability to include security-by-design principles necessary to enable 5G to achieve its promise. 5G trustworthiness highlights…
Microgrid (MG) is a small-scale, self-sufficient power system that accommodates various distributed energy resources (DERs), controllable loads, and future distribution systems. Networked microgrids (NMGs) are clusters of MGs, which are physically…
Batteries are increasingly becoming a more viable form of grid-level energy storage as time progresses. Among the different types of batteries present, Li-ion batteries have particularly gained widespread popularity due to their high energy density,…
Cloud computing becoming popular now day as, the world is moving towards vitalization and it provide resource to the users depending on their needs by using different resource allocation technique. Resilience and reliability is one of the major issue…
Because of climate change, power outages caused by severe weather are on the rise. Several researchers and policymakers have been involved in characterizing energy resilience and reliability to highlight the findings and incorporate them into future…
This paper proposes a novel cache architecture that uses spare cache blocks to work as back up blocks in a set associative cache, which can operate reliably at voltages well below the manufacturing induced operating voltage (Vccmin). We detect errors…
This paper describes the implementation of synchrophasor-based analysis as a part of Peak Reliability Synchrophasor Project (PRSP). A real-time situational awareness framework that utilizes Phasor Measurement Unit (PMU) data was demonstrated to…
Power grids are cyber-physical systems and can be modelled as network systems where individual units (generators, busbars and loads) are interconnected through physical and cyber links. Network components (nodes/edges) may undergo intentional and/or…
The regional integrated energy system (RIES) is widely adopted from the viewpoints of energy saving, emissions reduction and resilience enhancement. Especially, in case of external energy supply interruption caused by extreme events, a RIES can…
Linear Wireless Sensor Networks (LWSNs) are used in applications where deployment scenarios necessitate sensor nodes to be placed over a line topology. However, such a deployment raises reliability concerns because almost all the nodes in the network…
While power systems that can legitimately be called microgrids—locally controlled power systems that can function either as grid connected or as electrical islands—have existed since the dawn of the industry, their modern development has mostly…
Microgrids are being increasing deployed to improve the operational flexibility, resilience, coordinated-energy management capabilities, self-adequacy, and increased reliability of power systems. This strong market growth is also driven by advances…
Differentiation of resilience from reliability has been a heated topic ever since the emergence of the former upon the limitation, and as a complement, of the latter, while finding the common ground for both has been scarce. This study first picks…
The economic performance of petroleum products transport companies is dependent on the reliability of their equipment. Ruptures of the weld joints of petroleum products carriage pipelines have major consequences at the human, environmental and…
This paper presents a co-optimization planning model that considers the long-term interdependency of natural gas and electricity infrastructures. The model incorporates the natural gas transportation planning objective in the co-optimization planning…
The Colombian natural gas sector is going through a challenging stage concerning the management of available reserves. Recently, some weather conditions have shown drawbacks in security and reliability regarding supply and transportation.…
The natural gas network is important for residential heating, industrial manufacturing, and electricity generation. Although it is reliable and resilient to local disruptions, extreme situations, such as natural disasters and political conflicts, can…
To evaluate the connectivity reliability of key nodes under the effect of correlative extreme events in the maritime transportation network of crude oil, the vine copula is proposed to construct the joint probability distribution, and the…
Global electricity generation from natural gas is expected to continue in an upward trend in the coming years thereby increasing the interdependency between the electricity and the Natural gas transportation system. The reliability concerns…
Storage system utilization provides a pivotal support for techno-economic integration of renewables. However, a precise modeling and estimation for optimal sizing of an energy storage system (ESS) combined with their optimal allocation is pertinent…
Phase Change Materials (PCMs) are used for thermal energy storage (TES) due to their high latent heat capacity. While inorganic PCMs have the ability to store large amounts of thermal energy (as they possess higher values of latent heat capacity)…
This paper presents an energy storage system (ESS) sizing model and reliability assessment framework to quantify reliability improvements due to ESS of electric energy systems with high penetration of renewables. The model formulation takes into…
An intelligent micro-grid management and application architecture are proposed with a mobile energy storage system. The main objective is to use the mobile energy storage system as flexible backup power for the power outage. With GPS positioning and…