Abstract:Extreme weather forms a major threat to electricity distribution networks and has caused many severe power outages in the past. A reliable electrical grid is something most of us take for granted, but storms, heavy snowfall, and other effects of extreme weather continue to cause disruptions in electricity supply. This paper contributes to ensuring the continuity of electricity supply under adverse weather events. The aim is to describe and to analyze how the continuity of electricity supply can be ensured in t… Show more
“…In the infrastructure sector, the frequent applications of UAS are focused on bridge inspections undertaking cracks inspections and 3D reconstruction tasks [4] [5] [6] [7], in water supply quantification of damages by natural events and infrastructure maintenance [8] [9] [10]. In the case of roads pavement [11], electrical grids [12] [13], telecommunication, railway, tunnels [14] and sewers identification [15] there is a gap in scientific literature and maturity of the UAS operation. Furthermore, the current implementations are focused on reducing human risk exposure, gather and digitalise data for specific tasks and increase the amount and speed data in projects.…”
Section: Infrastructure Projectsmentioning
confidence: 99%
“…The literature presents the cases of sewers location [15], road pavement [11], dams inspections [9] and the frameworks of UAS bridge inspections, [4]; undertaking a UAS 2D and 3D approach according with the task to be addressed [3]. Therefore, the framework of the automation process lies in the decision to adopt strategies thought digitalisation with-and without reality reconstruction.…”
The professionals in the vertical and horizontal construction have tested methods to enhance the quality, safety, environmental impact, delivery time and cost control in their works promoted in learning organisations. Automation strategies applying robots and technology has been a focal point in industry of manufacture by its benefits in productivity levels and quality of works, and in some cases, without affecting other factors in a long-term period. The construction industry is playing a predominant economic heading in certain countries. Therefore, the adoption of Unmanned Aerial System (UAS) and Building Information Modelling (BIM) methodology as an automation strategy represent in short and long terms positive economic impact. UAS or drones have been used for cargo and data capturing in the built environment. Nowadays, the construction of infrastructures is the most benefited project from UAS implementations by gathering visual data of cracks, obstructions, energy levels, traffic and current conditions of the projects fulfilling the gap of human risks reduction, speed on data collection, and digitalisation of the real-world along with BIM. However, there is a breach in reliability and awareness on the UAS application cases in the infrastructure sector. The aim of this paper is to present the reasons and the application case of the UAS from the topography department of a Water Supply public organisation. The findings show that the UAS achieved a higher level of productivity and efficiency in the daily pre-construction works for designing pipelines. The case covers sewer identification and georeferencing in rural areas where the satellites were unavailable to show the state accurately. The tool used was an RTK DJI Phantom 4 to survey the site conditions in BIM format. The integration of UAS in BIM showed a higher level of productivity and efficiency in the employee's workflow in terms of data collection contrasting to old-fashion methods.
“…In the infrastructure sector, the frequent applications of UAS are focused on bridge inspections undertaking cracks inspections and 3D reconstruction tasks [4] [5] [6] [7], in water supply quantification of damages by natural events and infrastructure maintenance [8] [9] [10]. In the case of roads pavement [11], electrical grids [12] [13], telecommunication, railway, tunnels [14] and sewers identification [15] there is a gap in scientific literature and maturity of the UAS operation. Furthermore, the current implementations are focused on reducing human risk exposure, gather and digitalise data for specific tasks and increase the amount and speed data in projects.…”
Section: Infrastructure Projectsmentioning
confidence: 99%
“…The literature presents the cases of sewers location [15], road pavement [11], dams inspections [9] and the frameworks of UAS bridge inspections, [4]; undertaking a UAS 2D and 3D approach according with the task to be addressed [3]. Therefore, the framework of the automation process lies in the decision to adopt strategies thought digitalisation with-and without reality reconstruction.…”
The professionals in the vertical and horizontal construction have tested methods to enhance the quality, safety, environmental impact, delivery time and cost control in their works promoted in learning organisations. Automation strategies applying robots and technology has been a focal point in industry of manufacture by its benefits in productivity levels and quality of works, and in some cases, without affecting other factors in a long-term period. The construction industry is playing a predominant economic heading in certain countries. Therefore, the adoption of Unmanned Aerial System (UAS) and Building Information Modelling (BIM) methodology as an automation strategy represent in short and long terms positive economic impact. UAS or drones have been used for cargo and data capturing in the built environment. Nowadays, the construction of infrastructures is the most benefited project from UAS implementations by gathering visual data of cracks, obstructions, energy levels, traffic and current conditions of the projects fulfilling the gap of human risks reduction, speed on data collection, and digitalisation of the real-world along with BIM. However, there is a breach in reliability and awareness on the UAS application cases in the infrastructure sector. The aim of this paper is to present the reasons and the application case of the UAS from the topography department of a Water Supply public organisation. The findings show that the UAS achieved a higher level of productivity and efficiency in the daily pre-construction works for designing pipelines. The case covers sewer identification and georeferencing in rural areas where the satellites were unavailable to show the state accurately. The tool used was an RTK DJI Phantom 4 to survey the site conditions in BIM format. The integration of UAS in BIM showed a higher level of productivity and efficiency in the employee's workflow in terms of data collection contrasting to old-fashion methods.
“…Finally, 17 studies assess the first three biophysical functions of the resilience curve together, and only 6 studies analyse all four resilience functions (Forssén et al, 2017;Gong & Liang, 2017;Kim et al, 2017;Nan & Sansavini, 2017;Ouyang et al, 2012;Urciuoli et al, 2014), of which only three used a quantitative approach. This emphasizes the difficulty to comprehensively quantify resilience, and the need to specifically focus on the 'reconfigure' function.…”
Section: Energy Systems Resilience Assessment Approachesmentioning
Energy systems are regularly subject to major disruptions affecting economic activities, operation of infrastructure and the society as a whole. Resilience assessment comprises the pre-event oriented classical risk assessment as a central element, but it goes beyond that because it also includes and evaluates post-event strategies to improve the functioning of the system during its future operation. First, an overview of resilience definitions used across various scientific disciplines is presented, followed by an in-depth analysis of resilience assessment and quantification for energy systems. The relevant literature is classified by approach and according to four key functions of resilience: resist, restabilize, rebuild, and reconfigure. Findings show that irrespective of the research field, a resilient system always operates with an aim to minimize the potential consequences resulting from a disruptive event and to efficiently recover from a potential system performance loss.
“…Damage assessment (DA) [27,[34][35][36] provides the size and extent of the damage and resources required. Damage assessment is likely to be associated with the control component and direct business and manage technology business processes.…”
A structured collection of tools for engineering resilience and a research approach to improve the resilience of a power grid are described in this paper. The collection is organized by a two-dimensional array formed from typologies of power grid components and business processes. These two dimensions provide physical and operational outlooks, respectively, for a power grid. The approach for resilience research is based on building a simulation model of a power grid which utilizes a resilience assessment equation to assess baseline resilience to a hazards’ profile, then iteratively selects a subset of tools from the collection, and introduces these as interventions in the power grid simulation model. Calculating the difference in resilience associated with each subset supports multicriteria decision-making to find the most convenient subset of interventions for a power grid and hazards’ profile. Resilience is an emergent quality of a power grid system, and therefore resilience research and interventions must be system-driven. This paper outlines further research required prior to the practical application of this approach.
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