The assessment technology of energy critical infrastructure

Augutis, Juozas; Jokšas, Benas; Krikštolaitis, Ričardas; Urbonas, Rolandas

doi:10.1016/j.apenergy.2015.02.079

Cited by 15 publications

(3 citation statements)

References 18 publications

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“…Following an evaluation of the analyzed energy system infrastructure criticality, it was discovered that the highest average criticality has five elements with average criticalities ranging from 0.16 to 0.72 in analyzed district heating systems, and seven elements with criticalities ranging from 0.1 to 0.77. Using logistic regression to assess the reliability of analyzed energy system elements, elements and their combinations with a likelihood greater than 1/2 have a criticality of 0.6, and over 60 combinations of such elements were discovered [11]. Cloud computing and cloud networking are being used to ensure the proper operation of critical energy infrastructure management systems.…”

Section: Literature Reviewmentioning

confidence: 99%

An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure

Zhuo

Nazir

Khan

et al. 2021

Journal of Advanced Transportation

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Energy infrastructure is well thought-out to be one of the complex infrastructures due to its convoluted configuration and automatic control among all of the systems. With such systems, various connections are made for the purpose of configurations. The energy system infrastructure aims to analytically evaluate each element of the system based on fundamental energy branches according to the customer demand. Developing a novel critical evaluation approach for complex energy infrastructure is pertinent to the evaluation of mixed energy system infrastructure. Considering the functional relationships between elements and their infrastructures, a system is needed to overcome the limitations of the current systems. By doing the efficient modeling of enhancing the performance infrastructure of critical energy infrastructure enable better quantitative evaluation of system. The purpose of the proposed study is to develop an evaluation approach for enhancing the performance of critical energy infrastructure. With the help of the proposed approach, efficient multifeature model for enhancing the performance of critical energy infrastructure was experimentally calculated. The experimental setup of the proposed study was done in the Super Decision tool for an efficient multifeature model for enhancing the performance. Results of the experiments reveal the effectiveness of the proposed research.

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Section: Literature Reviewmentioning

confidence: 99%

An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure

Zhuo

Nazir

Khan

et al. 2021

Journal of Advanced Transportation

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“…consist of system-wide optimal tuning of compressors) to a standard (deterministic) optimization which requires evolution of only two extreme scenarios, most and least loaded, with guarantees that any other configuration of the natural gas production-consumption input laying strictly between the two extremes will be bounded in terms of the output by pressures and flows of the extreme configurations. Other important topics connected to gas transport pipelines are security of the infrastructures [95,96] and supply security [97,98]. Concerning the security of the gas transport line, in [96] a list of critical facilities in Russia's gas transport system is provided; the work also proposes a way to minimize the negative effects of emergency situations.…”

Section: Gas Networkmentioning

confidence: 99%

Towards future infrastructures for sustainable multi-energy systems: A review

Guelpa

Bischi

Verda

et al. 2019

Energy

197

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“…Natural disasters threats are crucial in this sector. Since Energy Systems (ES) should continuously stay in action to provide society with a vital consumable, ES is counted as critical entity [17]. Therefore, its security and safety matter.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin (DT) in Smart Energy Systems - Systematic Literature Review of DT as a growing solution for Energy Internet of the Things (EIoT)

2021

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In the industry 4.0 era, the Smart Energy System (SES) should be able to address the emerging challenges of digitization and socioeconomic/ecologic transition along with other critical entities of the society. However, because of the complexity of this system, both researchers and practitioners are seeking an agile and smart solution. The main motive of this review is to investigate the applications and implementation of Digital Twin (DT) in the provision of energy services. Research Questions (RQ) of this study include: RQ1: What are the applications of DT in SES and how effective is DT in that use case of EIoT? RQ2: Which issues of an SES can be addressed efficiently by using DT? Through answering the mentioned questions, the current study is heading to following objectives (O), O1: Describe the state of the art of DT in SES. O2: Develop a direction for energy 4.0 management through listing the applications, challenges and important factors of implementing DTs. O3: Provide a list of various approaches in employing DT in the scope of SES. The current study is a systematic literature review (SLR), based on SCOPUS, WOS and IEEE digital libraries. Two keywords (namely “Digital Twin” and “Energy Systems”) have been first used. To achieve the final list of articles, 2 levels of screening have been conducted. The first Screening was based on the relevance of the results concerning research objectives. The second screening was an abstract study. The exclusion/inclusion criteria in the abstract study were based on the research questions. The papers that have the potential of answering one of the research questions have been included. Since the implementation of DT is a rather new topic, both backward snowballing and forward snowballing strategies are implemented to finalize the article selection phase. 60 articles identified by searching through scientific databases and 11 articles have been appended to the list during the snowballing process. The results of the current review provide a managerial guideline for practitioners that are heading to utilize DT, along with an anthology of DT within SES scope to feed possible future studies.

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The assessment technology of energy critical infrastructure

Cited by 15 publications

References 18 publications

An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure

An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure

Towards future infrastructures for sustainable multi-energy systems: A review

Digital Twin (DT) in Smart Energy Systems - Systematic Literature Review of DT as a growing solution for Energy Internet of the Things (EIoT)

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