scholarly journals SAFETY OF CRITICAL INFRASTRUCTURES - CHOSEN MODELING STUDIES OF ENERGY INFRASTRUCTURE ELEMENTS / BEZPIECZEŃSTWO INFRASTRUKTURY KRYTYCZNEJ – WYBRANE BADANIA MODELOWE ELEMENTÓW INFRASTRUKTURY ENERGETYCZNEJ

2013 ◽  
Vol 26 (1) ◽  
pp. 13-28
Author(s):  
Małachowski Jerzy ◽  
Niezgoda Tadeusz
Keyword(s):  
Shock Wave ◽  
Homeland Security ◽  
Damage Assessment ◽  
Power Plants ◽  
Critical Infrastructures ◽  
Pipeline System ◽  
Wave Analysis ◽  
Priority List ◽  
Oil Transportation ◽  
Coupling Procedure

Abstract This research has been inspired by security concerns due to the recent increase in the terrorist threat to gas and crude oil transportation around the world, especially in regions that are of significant value for the energy supplies. Computational mechanics methods will be used in this research to apply shock wave analysis for possible damage assessment of the affected pipelines. These methods may be also used for pipelines at power plants, which are usually placed high on the homeland security priority list. This study is primarily focused on the behaviour of some type of pipeline elements existing in gas pipeline system which can be subjected to the shock wave produced by the detonation of highly explosive (HE) materials. In this kind of studies the numerical coupling procedure describing interaction between gas and solid domain was implemented. Outcomes of this research are very important in preventing damage progression of pipelines under the blast loading.

Additional methods to improve the energy efficiency of oil pipeline transportation

2020 ◽  
Vol 10 (5) ◽  
pp. 558-565
Author(s):  
Marat R. Lukmanov ◽  
◽  
Sergey L. Semin ◽  
Pavel V. Fedorov ◽  
◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Pipeline System ◽  
Energy Costs ◽  
Improvement Program ◽  
Oil Pipeline ◽  
Energy Efficiency Improvement ◽  
Oil Transportation ◽  
Pumping Equipment ◽  
Preparatory Work

The challenges of increasing the energy efficiency of the economy as a whole and of certain production sectors in particular are a priority both in our country and abroad. As part of the energy policy of the Russian Federation to reduce the specific energy intensity of enterprises in the oil transportation system, Transneft PJSC developed and implements the energy saving and energy efficiency improvement Program. The application of energy-saving technologies allowed the company to significantly reduce operating costs and emissions of harmful substances. At the same time, further reduction of energy costs is complicated for objective reasons. The objective of this article is to present additional methods to improve the energy efficiency of oil transportation by the example of the organizational structure of Transneft. Possibilities to reduce energy costs in the organization of the operating services, planning and execution of work to eliminate defects and preparatory work for the scheduled shutdown of the pipeline, the use of pumping equipment, including pumps with variable speed drive, the use of various pipelines layouts, changing the volume of oil entering the pipeline system and increase its viscosity.

Seismic Damage Assessment of Urban Water Supply Pipeline

2013 ◽  
Vol 316-317 ◽  
pp. 723-726
Author(s):  
Jian Qun Jiang ◽  
Xiao Wen Yao ◽  
Yi Ting Lu
Keyword(s):  
Water Supply ◽  
Damage Assessment ◽  
Longitudinal Direction ◽  
Underground Water ◽  
Seismic Damage ◽  
Pipeline System ◽  
Seismic Damage Assessment ◽  
Water Pipeline ◽  
Ground Condition ◽  
Water Supply Pipeline

Water supply pipeline system is a key issue in urban lifeline engineering, and the seismic assessment for the system damage is of significant importance. In this study, method of seismic damage assessment on underground water supply pipeline is introduced. With emphasis on the uncertainties of earthquake level, ground condition, soil-pipe interaction and capacity to resist pipe deformation in longitudinal direction, the check point method is applied to the reliability study of water pipeline, and a case study is presented to show the implementation of the proposed model.

scholarly journals Stochastic Optimization for Long Term Capital Structures, Systems, and Components Refurbishment and Replacement

2020 ◽  
Author(s):  
Congjian Wang ◽  
Diego Mandelli ◽  
Shawn St Germain ◽  
Curtis Smith ◽  
David Morton ◽  
...  
Keyword(s):  
Stochastic Optimization ◽  
Nuclear Power ◽  
Power Plants ◽  
Capital Investments ◽  
Priority List ◽  
Multi Stage ◽  
Plant Operations ◽  
Economic Constraints ◽  
Returns On Investment

Abstract As commercial nuclear power plants (NPPs) pursue extended plant operations in the form of Second License Renewals (SLRs), opportunities exist for these plants to provide capital investments to ensure long-term, safe, and economic performance. Several utilities have already announced their intention to pursue extended operations for one or more of their NPPs via SLR2. The goal of this research is to develop a risk-informed approach to evaluate and prioritize plant capital investments made in preparation for, and during the period of, extended plant operations to support decisions in NPP operations. In order to prioritize project selection via a risk-informed approach we developed a single decision-making tool that integrates safety/reliability, cost, and stochastic optimization models to provide users with data analysis capabilities to more cost effectively manage plant assets. Both stochastic analysis methods — such as Monte Carlo-based sampling strategies — and multi-stage stochastic optimization strategies are employed to provide priority lists to decision-makers in support of risk-informed decisions. We applied the proposed method to a trial application of projected replacement/refurbishment expenditures for plant capital assets (i.e., structures, systems, and components [SSCs]). The objective is to optimize the SSC replacement/refurbishment schedule in terms of economic constraints, data uncertainties, and SSC reliability data, as well to generate a priority list for maximizing returns on investment.

Loss and damage assessment in critical infrastructures due to extreme events

2022 ◽  
Vol 147 ◽  
pp. 105587
Author(s):  
Alon Urlainis ◽  
David Ornai ◽  
Robert Levy ◽  
Oren Vilnay ◽  
Igal M. Shohet
Keyword(s):  
Extreme Events ◽  
Damage Assessment ◽  
Critical Infrastructures ◽  
Loss And Damage

scholarly journals Drag Reducer Selection for Oil Pipeline Based Laboratory Experiment

2017 ◽  
Vol 12 (1) ◽  
pp. 112 ◽  
Author(s):  
Leksono Mucharam ◽  
Silvya Rahmawati ◽  
Rizki Ramadhani
Keyword(s):  
Crude Oil ◽  
Large Scale ◽  
Oil And Gas ◽  
Energy Requirement ◽  
Pipeline System ◽  
Chemical Application ◽  
Oil Pipeline ◽  
Pipeline Flow ◽  
Oil Transportation ◽  
Pump Stations

Oil and gas industry is one of the most capital-intensive industry in the world. Each step of oil and gas processing starting from exploration, exploitation, up to abandonment of the field, consumes large amount of capital. Optimization in each step of process is essential to reduce expenditure. In this paper, optimization of fluid flow in pipeline during oil transportation will be observed and studied in order to increase pipeline flow performance.This paper concentrates on chemical application into pipeline therefore the chemical can increase overall pipeline throughput or decrease energy requirement for oil transportation. These chemicals are called drag reducing agent, which consist of various chemicals such as surfactants, polymers, nanofluids, fibers, etc. During the application of chemical into pipeline flow system, these chemicals are already proven to decrease pump work for constant flow rate or allow pipeline to transport more oil for same amount of pump work. The first application of drag reducer in large scale oil transportation was in Trans Alaskan Pipeline System which cancel the need to build several pump stations because of the successful application. Since then, more company worldwide started to apply drag reducer to their pipeline system.Several tedious testings on laboratory should be done to examine the effect of drag reducer to crude oil that will be the subject of application. In this paper, one of the testing method is studied and experimented to select the most effective DRA from several proposed additives. For given pipeline system and crude oil type, the most optimum DRA is DRA A for pipeline section S-R and for section R-P is DRA B. Different type of oil and pipeline geometry will require different chemical drag reducer. 

scholarly journals Performance characterization of a miniaturized exploding foil initiator via modified VISAR interferometer and shock wave analysis

2017 ◽  
Vol 121 (21) ◽  
pp. 215901 ◽  
Author(s):  
Hyeonju Yu ◽  
Bohoon Kim ◽  
Seung-gyo Jang ◽  
Kyu-Hyoung Kim ◽  
Jack J. Yoh
Keyword(s):  
Shock Wave ◽  
Wave Analysis ◽  
Performance Characterization

Short-Term Generation Schedule Optimisation for Combined Heat and Power

2011 ◽  
Author(s):  
E. E. B. Gomes ◽  
P. Pilidis ◽  
A. L. Polyzakis
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Electricity Market ◽  
Power Plants ◽  
Hybrid Genetic Algorithm ◽  
Combined Heat And Power ◽  
End Users ◽  
Technical Literature ◽  
Priority List ◽  
Distributed Generators

In the last decades one of the most difficult problems in the electricity market has been how to dispatch and manage the electricity in power generation plants. Despite of all the benefits of distributed poly-generation and combined heat and power systems, their penetration in the power market worldwide is quite modest and one of the barriers against their increasing participation is the high fees for back-up supplies, which is one of the problems addressed in this investigation. This paper introduces a pool of distributed generation units (named nerve-centre) able to economically optimise the generation schedule of gas turbine power plants and end-users interconnected through a mini-grid. A hybrid genetic algorithm adapted priority list was developed to solve the multi unit generation schedule optimisation problem. The algorithm developed in this study leads the optimisation mechanism to a faster convergence and a very low risk of non-convergence to the optimal result. Despite the power generation optimisation studies reported in the technical literature, none of them has been modelled for such a pool of distributed generators trading electricity in the competitive market. This investigation shows that the proposed nerve-centre concept can result in significant savings to generators/end-users.

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