Prediction of Power Plant Exposure to Economic Losses Through a Property Risk Assessment Methodology

2009 ◽  
Author(s):  
G. J. Orme ◽  
M. Venturini
Keyword(s):  
Risk Assessment ◽  
Power Plant ◽  
Power Plants ◽  
Economic Loss ◽  
Economic Losses ◽  
Published Data ◽  
Assessment Procedure ◽  
Worst Case ◽  
Maximum Loss ◽  
Probable Maximum Loss

In this paper, a procedure for Risk Assessment, which makes use of two risk indices (PML - Probable Maximum Loss and MFL - Maximum Foreseeable Loss) is applied to power plants to evaluate potential economic losses due to risk exposure for two different loss scenarios (probable and worst-case). The paper is mainly focused on Property Insurance aspects, though Boiler and Machinery Insurance and business interruption are also addressed. First, the procedure is applied to provide a prediction of probable and maximum loss as a function of power output. The results allow an estimate of whether the adoption of risk assessment procedures and devices allows an actual payback for plant owners. Second, the economic loss predicted through the risk assessment procedure is compared against real power plant loss values, taken from published data.

Risk Based Optimization of the Life Assessment for Fossil Power Plant

2006 ◽  
Vol 321-323 ◽  
pp. 1572-1575
Author(s):  
Bum Shin Kim ◽  
Jung Soo Ha ◽  
Gee Wook Song ◽  
Jung Seob Hyun ◽  
Woo Sung Choi
Keyword(s):  
Risk Assessment ◽  
High Pressure ◽  
Power Plant ◽  
Power Plants ◽  
Life Assessment ◽  
Assessment Procedure ◽  
Operation Condition ◽  
High Pressure And Temperature ◽  
Fossil Power Plant

As a number of aged fossil power plants recently increased, the precise life assessment of critical equipments gets to be important more than ever. Despite of infrequent likelihood of failure, the equipments in high pressure and temperature operation condition have traditionally been considered as critical because of huge consequence of the equipments and hence life assessment of fossil power plant has been focused on all of the severe operated equipments for past decades. Nowadays, with Risk-Based Inspection technology being developed rapidly, most of the power plant utilities get a chance to reduce the scope of the inspection and test and to extend the interval for the life assessment. This paper provides methodology based on Risk-Based Inspection technology to optimize the life assessment work scope and interval and also demonstrates the enhanced life assessment procedure including risk assessment of equipments.

scholarly journals Quantification of PV Power and Economic Losses Due to Soiling in Qatar

2021 ◽  
Vol 13 (6) ◽  
pp. 3364
Author(s):  
Amr Zeedan ◽  
Abdulaziz Barakeh ◽  
Khaled Al-Fakhroo ◽  
Farid Touati ◽  
Antonio S. P. Gonzales
Keyword(s):  
Output Power ◽  
Power Plants ◽  
Economic Loss ◽  
Economic Losses ◽  
Energy Yield ◽  
Solar Pv ◽  
Financial Loss ◽  
Grid Systems ◽  
Dust Density

Soiling losses of photovoltaic (PV) panels due to dust lead to a significant decrease in solar energy yield and result in economic losses; this hence poses critical challenges to the viability of PV in smart grid systems. In this paper, these losses are quantified under Qatar’s harsh environment. This quantification is based on experimental data from long-term measurements of various climatic parameters and the output power of PV panels located in Qatar University’s Solar facility in Doha, Qatar, using a customized measurement and monitoring setup. A data processing algorithm was deliberately developed and applied, which aimed to correlate output power to ambient dust density in the vicinity of PV panels. It was found that, without cleaning, soiling reduced the output power by 43% after six months of exposure to an average ambient dust density of 0.7 mg/m3. The power and economic loss that would result from this power reduction for Qatar’s ongoing solar PV projects has also been estimated. For example, for the Al-Kharasaah project power plant, similar soiling loss would result in about a 10% power decrease after six months for typical ranges of dust density in Qatar’s environment; this, in turn, would result in an 11,000 QAR/h financial loss. This would pose a pressing need to mitigate soiling effects in PV power plants.

Seismic Risk Assessment of Masonry Buildings in Istanbul for Effective Risk Mitigation

2010 ◽  
Vol 26 (4) ◽  
pp. 967-982 ◽  
Author(s):  
M. Altug Erberik
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Economic Losses ◽  
Assessment Procedure ◽  
Masonry Building ◽  
Masonry Buildings ◽  
Seismic Risk Assessment ◽  
Priority List ◽  
Earthquake Losses ◽  
Short Period

Unreinforced and non-engineered masonry buildings are highly vulnerable to seismic hazard and constitute a significant percentage of earthquake losses, including both casualties and economic losses. This study presents an engineering application on seismic safety assessment of unreinforced masonry (URM) buildings in Istanbul, Turkey, a metropolitan city under very high seismic risk. Nearly 20,000 masonry buildings were examined through a two-stage assessment procedure in order to identify the addresses of those buildings which are under high seismic risk. Furthermore, the obtained database can be employed in the preparation of an earthquake mitigation strategy for the expected major earthquake in Istanbul. In the first-stage evaluation, buildings are examined visually from the street by considering their basic structural parameters and they are ranked within a priority list in terms of the calculated seismic risk. Next, the buildings identified with higher risk are evaluated in the second stage by using a more detailed procedure. The developed procedure is both an optimal and a practical tool in the seismic risk assessment of large masonry building stocks in a short period of time with limited resources.

scholarly journals Fire Risk Assessment of Transient Ignition Sources in Domestic Nuclear Power Plants

2021 ◽  
Vol 35 (3) ◽  
pp. 59-67
Author(s):  
Jung-Hyun Ryu
Keyword(s):  
Risk Assessment ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Evaluation Method ◽  
Fire Risk ◽  
Ignition Source ◽  
Fire Risk Assessment

The fire risk of a nuclear power plant is evaluated using fixed and transient ignition sources. In terms of the overall fire risk, the proportion of transient ignition sources is very small. However, because the uncertainty due to the difference between the assumptions and the modeling method is relatively large, it is necessary to establish a methodology to address this. In this study, the new transient ignition source evaluation method presented in NUREG/CR-6850, the ignition source frequency revised in NUREG-2169, and the input parameters for transient fire modeling presented in NUREG-2233 were used to evaluate the fire risk assessment for transient ignition sources. In this new evaluation methodology, the fire ignition frequency is quantitatively evaluated based on the characteristics of the area, and an area-based scenario evaluation method considering the location of the transient ignition source is proposed for the evaluation within the area. As a result of applying the new methodology to the switchgear room of a reference nuclear power plant, an approximately 70% risk reduction was confirmed compared to the existing EPRI TR-105928 method. In the future, if fire risk assessment for transient ignition sources in nuclear power plants is applied using the results of this study, it is expected that areas whose control is important in the event of a fire can be determined, which should help reduce highly rated fire risks.

scholarly journals Hypothetical Accident in Polish Nuclear Power Plant. Worst Case Scenario for Main Polish Cities

2019 ◽  
Vol 26 (1) ◽  
pp. 9-28
Author(s):  
Andrzej Mazur
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Atmospheric Transport ◽  
Radioactive Material ◽  
Second Phase ◽  
Pollution Transport ◽  
Worst Case ◽  
Hypothetical Accident

Abstract Poland is under threat of potential accidents in nuclear power plants located in its close vicinity, in almost all neighboring countries. Moreover, there are plans to establish a new nuclear power plant in Polish coast. In this paper the analysis of atmospheric transport of radioactive material released during a potential accident in the future nuclear power plant is presented. In the first part of study transport of radioactivity as seen from the long time perspective is analyzed. This involves trajectory analysis as a tool for describing the statistics of air pollution transport pattern and screening the meteorological situations for episode studies. Large sets of meteorological data for selected episodes were stored as a result of this process. Estimation of risk includes both analysis of the consequences and probability analysis of an occurrence of such situation. Episodes then were comprehensively studied in the second phase of the study, using the Eulerian dispersion model for simulation of atmospheric transport of pollutants. This study has proven that the time needed for reaction in case of (hypothetical) accident is enormously short.

scholarly journals Evaluation of Airblast Loads on Structures in Complex Configurations

2012 ◽  
Author(s):  
David Vaughan ◽  
Howard Levine ◽  
Paul Hassig ◽  
Robert Smilowitz
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Assessment Tool ◽  
Economic Loss ◽  
Blast Waves ◽  
Economic Losses ◽  
Environmental Damage ◽  
High Loss ◽  
Fast Running ◽  
Area Of Interest

A common terrorist threat worldwide is the use of large vehicle bombs to attack high value targets. Detonation of large yield devices can cause significant damage to nearby buildings, facilities and infrastructure with potentially high loss of life and large economic losses. Blast pressures can have major consequences on critical facilities such as nuclear power plants, causing economic loss, environmental damage and system failure. Closely spaced structures in a dense configuration provide a complicated setting for evaluating airblast pressures caused by explosive devices. The presence of multiple buildings can channel the airblast, resulting in significant effects on load magnitudes at range from the detonation. Buildings reflect propagating blast waves causing increased loading at some locations and reduced loads elsewhere due to shielding from direct blast waves. The complex interaction between structures, streets, alleys and geographical terrain can have a major impact on structural loads. Currently, the most common way to estimate airblast pressures resulting from above ground explosive detonations is to use fast running, approximate blast tools such as CONWEP. These simplified tools may not provide accurate guidance on airblast pressures in complex environments. The following paper illustrates the use of Computational Fluid Dynamics (CFD) calculations of complex building configurations to quantify the resulting blast environment. Comparisons with simplified methods are presented. An approach to using a database of CFD simulations, customized for a specific site, to provide a fast running blast assessment tool is described. This approach provides a convenient, fast running tool for designers and security planners to visualize and accurately quantify the hazard from any threat size and location within the area of interest.

Property Risk Assessment for Liquefied Natural Gas Liquefaction Plants

2019 ◽  
Author(s):  
George J. Orme ◽  
Mauro Venturini
Keyword(s):  
Risk Assessment ◽  
Natural Gas ◽  
Risk Measures ◽  
Economic Loss ◽  
The United States ◽  
Liquefied Natural Gas ◽  
Technical Literature ◽  
Probable Maximum Loss ◽  
Operational Information ◽  
Lng Liquefaction

Abstract Liquefied Natural Gas (LNG) liquefaction plants have become increasingly important as natural gas is exported from the United States of America to markets world-wide. Downtime of any part of the process train (gas turbine, compressors, controls, etc.) due to failure of one or more of its components can result in high costs. The total cost of loss is of great concern to the LNG industry as it moves towards increased LNG exports with required operational efficiency, and downtime reduced to a minimum. This paper reports the application of a methodology of property risk assessment, providing insight into the use of PML (Probable Maximum Loss) and MFL (Maximum Foreseeable Loss) risk measures. Major sources of risk are analyzed, drawing from both technical literature and operational information on typical large LNG liquefaction plants. The outcome of this paper is an estimation of the economic loss associated with property risk for two hypothetical LNG liquefaction plants, based upon sample plants located in North America and characterized by different capacity. These plants represent recently built and commissioned plants and are chosen to take advantage of current technology and plant capacities.

scholarly journals Risk Assessment of Extreme Weather Conditions for Nuclear Power Plants at Tidal Rivers

2010 ◽  
Vol 13 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Heinz-Peter Berg ◽  
Matias Krauß
Keyword(s):  
Risk Assessment ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Water Level ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Tidal Rivers

Risk Assessment of Extreme Weather Conditions for Nuclear Power Plants at Tidal RiversThe effects of flooding on a nuclear power plant site may have a major bearing on the safety of the plant and may result in a common cause failure for safety related systems, such as the emergency power supply systems. For river sites with tidal influences, an extreme flood event - tide combined with storm water level set-up - must be assumed. A storm-tide must be covered with an exceeding frequency of 10-4/a. However, the risk assessment regarding the availability of systems and components of a nuclear power plant also includes the situation of extreme low water level of rivers, i. e. below the minimum water level necessary for the supply of the nuclear power plants with cooling water.

scholarly journals Wind and Rain Losses for Metal-clad Contemporary Houses Subjected to Non-cyclonic Windstorms

2020 ◽  
Author(s):  
Hao Qin
Keyword(s):  
Risk Assessment ◽  
Damage Assessment ◽  
Economic Loss ◽  
Wind Damage ◽  
Mitigation Measures ◽  
Economic Losses ◽  
Extreme Wind ◽  
Loss Modelling ◽  
The Cost ◽  
Extreme Winds

Severe windstorms cause millions in losses annually for housing in Southeast Australia that has more than half of Australia’s population. The risk assessment for housing in these non-cyclonic regions is the key to assessing the cost-effectiveness of relevant wind mitigation measures to reduce the economic losses. This study develops a probabilistic risk assessment framework to evaluate the wind and rain losses for Australian contemporary houses subjected to non-cyclonic windstorms, which integrates the hazard modelling for extreme wind and associated rainfall, reliability-based wind damage assessment, rainwater intrusion evaluation and economic loss modelling. The risk analysis was conducted for metal-clad contemporary houses in Brisbane and Melbourne. It was found that damage to building interior and contents 18 caused by rainwater intrusion associated with extreme winds is the major contributor to the annual expected economic losses, and houses in Brisbane are generally subjected to higher losses than houses in Melbourne.

scholarly journals Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5305
Author(s):  
Saheli Sengupta ◽  
Aritra Ghosh ◽  
Tapas K. Mallick ◽  
Chandan Kumar Chanda ◽  
Hiranmay Saha ◽  
...  
Keyword(s):  
Power Plant ◽  
Energy Management ◽  
Power Plants ◽  
Economic Loss ◽  
Climatic Conditions ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Dust Deposition ◽  
Photovoltaic Power ◽  
Single Location

Solar energy is going to be a major component of global energy generation. Loss due to dust deposition has raised a great concern to the investors in this field. Pre-estimation of this reduced generation and hence the economic loss will help the operators’ readiness for efficient and enhanced economic energy management of the system. In an earlier article, a physics–based model is proposed for assessment of dust accumulation under various climatic conditions which is validated by data of a single location. In this paper, the universality of this model is established and is used to demonstrate the effect of generation loss due to dust deposition and of cleaning. Variation in the soiling pattern due to climatic covariates has also been studied. Generation loss is calculated for Solar Photovoltaic power plants of different capacities at various locations in India. Finally this model has also been extended to predict the generation accounting for the soiling loss in Photovoltaic system. All the calculated and predicted results are validated with the measured values of the above plants.

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