Evaluation of Potential Locations for Siting Small Modular Reactors near Federal Energy Clusters to Support Federal Clean Energy Goals

Belles, Randy; Omitaomu, Olufemi A.

doi:10.2172/1224159

Cited by 4 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[51] presented a fuzzy analytic hierarchy process based multi-criteria decisionmaking technique to find suitable sites of SMRs in the system while focussing on efficient power generation. Belles and Omitaomu [52] considered geotechnical and resource accessibility factors, such as distance to cooling water and population, grid capacity etc., for siting SMRs using spatial modelling and geographic information system technology. Lokhov et al [53] listed various factors impacting the siting of SMRs in the power systems, such as social and economic challenges, environmental regulatory issues, lack of infrastructure to support the SMR deployment, and security challenges.…”

Section: Related Workmentioning

confidence: 99%

“…[51] presented a fuzzy analytic hierarchy process based multi‐criteria decision‐making technique to find suitable sites of SMRs in the system while focussing on efficient power generation. Belles and Omitaomu [52] considered geotechnical and resource accessibility factors, such as distance to cooling water and population, grid capacity etc., for siting SMRs using spatial modelling and geographic information system technology. Lokhov et al.…”

Section: Related Workmentioning

confidence: 99%

“…Siting SMRs in the power grid has gained research interests in recent years [51,52]. The authors in Ref.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Vulnerability assessment and defence strategy to site distributed generation in smart grid

Nayak

Al‐Anbagi

2022

IET Smart Grid

View full text Add to dashboard Cite

False data injection (FDI) attacks tamper with the state estimation data and can pose significant threats to the smart grid. The vulnerability analysis and defence strategies may help to mitigate the impact of these attacks. However, existing research efforts have not addressed the computational power and accuracy issues in the vulnerability analysis and defence mechanisms using realistic test environments. In this work, the authors present a novel low-complexity FDI attacks model to perform the vulnerability analysis. The authors develop a reduced-row-echelon-form-based greedy algorithm using the non-linear power flow system to generate FDI attacks more accurately. Later, the authors propose a novel optimal defence strategy by developing a greedy algorithm. The authors' algorithm finds the optimal power assets' locations and defends against hidden FDI attacks with low computation cost. Finally, the authors utilize the proposed AC-based attack and defence models to identify secure sites for distributed generation (DG) in the smart grid. The authors' experimental results for various IEEE standard test systems show enhanced accuracy of the attack and defence algorithms. The authors also validate the effectiveness of the proposed approaches in finding secure sites for DG units in the smart grid.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Vulnerability assessment and defence strategy to site distributed generation in smart grid

Nayak

Al‐Anbagi

2022

IET Smart Grid

View full text Add to dashboard Cite

show abstract

“…Based on the attributes, each spatial layer representing a criterion was classified into six suitability levels based on certain thresholds, with 0 being unsuitable and 5 being most suitable. The classification thresholds were selected based on the recommendations provided for site suitability in policy documents, journal articles, user manuals, and other authoritative reports [31], [36]. Based on literature review, some criteria were also considered to be exclusionary and were classified into binary values (suitable being "1" and unsuitable being "0").…”

Section: A Wlc Approachmentioning

confidence: 99%

A Geospatial Framework Using Multicriteria Decision Analysis for Strategic Placement of Reserve Generators in Puerto Rico

Kotikot

Kar

Omitaomu

2020

IEEE Trans. Eng. Manage.

Self Cite

View full text Add to dashboard Cite

Extreme events such as hurricanes cause damages to various infrastructures, including power supply and transportation networks. Restoration of power supply services after extreme events is crucial for disaster response and recovery activities. With damages to transportation and other supply chain networks following extreme events, energy utility companies face significant challenges in achieving faster restoration of power supply services. This was the case for the utility companies in Puerto Rico after Hurricane Maria in 2017. One option for the utility companies in such circumstances will be to temporarily connect impacted populations to reserve generators, strategically located before the event, for quicker restoration of services. The objectives of this article are to: 1) develop a geospatial framework using a multicriteria decision analysis (MCDA) approach for placement of reserve generators and 2) identify strategic locations using 12 criteria representing physical, socioeconomic, environmental, and built environment conditions in Puerto Rico for the placement of reserve generators. Five different approaches are used to determine weights for the 12 criteria used in the MCDA approach. The geospatial framework developed in this article is comprehensive, which along with the weight determination approaches could be adapted to identify potential sites for the placement of additional energy infrastructures, including transformers, mobile stations, and microgrids, to power a city during extreme events. Index Terms-Energy infrastructure siting, geospatial framework, multicriteria decision analysis (MCDA), weighted sum model (WSM). I. INTRODUCTIONE NERGY infrastructure failure during extreme events involves destruction of power lines, transformers, generator stations, and substations. This inevitably results in power outages, whose severity depends on the strength and extent of the

show abstract

“…The problems of cluster competitiveness and its effectiveness were investigated by many researchers [27][28][29][30][31][32][33], quite a big number of works deal with the assessment of potentially effective clusters and its participants [34][35][36][37]. In the framework of the previous research, the authors developed a three-staged assessment system of effectiveness of territorial cluster funding, which includes indicators showing how the cluster influences the economy in the region, indicators of the development of the cluster itself, and indicators of the financial position of the enterprises-cluster participants [38].…”

Section: Mechanisms For Increasing the Investment Attractiveness Of Tmentioning

confidence: 99%

Clustering as a Factor of Increasing Investment Attractiveness of the Islamic Republic of Iran

Trachenko¹,

Гайша²,

Dzhioev³

2020

Tomsk State University Journal of Economics

View full text Add to dashboard Cite

Investment policy is the basis of the formation and development of national economy. It aims at giving new job opportunities, realizing structural changes in different industries and other sectors of management on the basis of using new equipment and technologies as well as raising various forms of capital. The main objective of the present research is adjustment of the previously developed authorial methodology of express analysis of the investment attractiveness of the regions to analyze the Middle East & North Africa (MENA) countries investment attractiveness and clustering experience dissemination in the innovation activity field. In the framework of the present research, an analysis of the MENA countries was conducted and the advantages and disadvantages of the MENA countries were identified. The analysis of the investment attraction of the MENA countries can be helpful in making decisions by investors, governments, and everyone concerned. Developed countries such as the USA, Japan, Germany, and France show their experience in the implementation of cluster conception as an effective instrument contributing to enterprise development, innovation and competitiveness boost among the cluster-based regions as well as the country on the whole. As a result of the research, the authors give their recommendations on the implementation and spread of innovative clusters on the territories of the Islamic Republic of Iran, corresponding to the world trends of accelerating introduction and increase of technological innovation economic influence on the world market. The systemic approach and synthesis, methods of bibliographic and logical analysis were used within the framework of the present research.

show abstract

Evaluation of Potential Locations for Siting Small Modular Reactors near Federal Energy Clusters to Support Federal Clean Energy Goals

Cited by 4 publications

References 4 publications

Vulnerability assessment and defence strategy to site distributed generation in smart grid

Vulnerability assessment and defence strategy to site distributed generation in smart grid

A Geospatial Framework Using Multicriteria Decision Analysis for Strategic Placement of Reserve Generators in Puerto Rico

Clustering as a Factor of Increasing Investment Attractiveness of the Islamic Republic of Iran

Contact Info

Product

Resources

About