Reliability Evaluation and Cost Optimization of Solar Road Studs

Ram, Mangey; Bhandari, Ashok Singh; Kumar, Akshay

doi:10.1142/s0218539321500418

Cited by 9 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nowadays various researchers are using metaheuristics for getting the solution of various real life complex nonlinear optimization problems [33][34][35][36][37].…”

Section: Numerical Simulations and Discussionmentioning

confidence: 99%

Cost Optimization and Reliability Parameter Extraction of a Complex Engineering System

Kumar¹,

Pant²,

Ram³

2023

JRSS

View full text Add to dashboard Cite

Nowadays, the transformation of the various energy system is the core objective of the dedicated sustainable development goal related to energy sustainable world within the new United Nations development agenda. Different nuclear regulatory authorities around the globe, sets Technical Specifications (TSs) for ensuring the human and environmental safety of various highly volatile and complex Nuclear Power Generation Plants (NPGPs). TSs define numerous measures and limitations related to safety and sustainability that must be followed by all NPGPs around the world. Reliability, availability and cost components associated with a NPGPs form important bases for the setting of TSs. In this work, a framework based on few recent metaheuristics like Cuckoo Search Algorithm (CSA), Grey Wolf Optimizer (GWO), Hybrid PSO GWO algorithm (HPSOGWO) has been presented for cost optimization and reliability parameter extraction of a complex engineering system named Heat Removal System (HRS) of a nuclear power generation plant safety system (NPGPSS). A multi-criteria decision-making (MCDM) method named Weighted-Sum Method (WSM) has also been employed for prioritizing the available metaheuristics based on available beneficial and non-beneficial criteria’s.

show abstract

“…Nowadays various researchers are using metaheuristics for getting the solution of various real life complex nonlinear optimization problems [33][34][35][36][37].…”

Section: Numerical Simulations and Discussionmentioning

confidence: 99%

Cost Optimization and Reliability Parameter Extraction of a Complex Engineering System

Kumar¹,

Pant²,

Ram³

2023

JRSS

View full text Add to dashboard Cite

show abstract

“…The ADAP-PSO [ 25 ] is the modified version of the PSO [ 36 , 37 ]. The PSO is inspired by the moving principles of position and velocity of some swarms in nature, such as birds and fishes.…”

Section: Solution Approachesmentioning

confidence: 99%

Optimal reliability allocation of heterogeneous components in pharmaceutical production plant

Aqel

Mellal

2023

Int J Interact Des Manuf

View full text Add to dashboard Cite

The COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed to be as reliable as possible. The present paper aims to optimize the design of a pharmaceutical plant through the reliability allocation of heterogeneous components under the design constraints. The problem is solved by resorting to three nature-inspired algorithms of artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping algorithm (SFLA), and adaptive particle swarm optimization (ADAP-PSO). A penalty function is implemented to handle the constraints and the results obtained are compared. Supplementary Information The online version contains supplementary material available at 10.1007/s12008-023-01256-1.

show abstract

“…Many research studies have been proposed in the recent past for reliability modeling of solar irradiance and integration of the solar system with the conventional systems. The focus of this work was to track the maximum irradiance for obtaining maximum solar power (Yan et al, 2018;Li et al, 2021;de Vries, Loonen, and Hensen 2021), assess reliability based on power loss due to variable insolation (Pandit et al, 2021), determine the reliability of electric vehicles (Hashemi-Dezaki 2019;Talukdar et al, Deka, and Goswami 2021), and optimize the cost for reliability evaluation (Ram, Bhandari, and Kumar 2021). However, the major challenge for the present and upcoming grid-connected solar DG system is to adequately supply the load demand (Okundamiya 2021), which needs to be addressed.…”

Section: Past Researchmentioning

confidence: 99%

Impact Assessment of Solar Power Generation Uncertainty on Smart Grid Reliability and Carbon Neutrality

et al. 2022

View full text Add to dashboard Cite

The global concerted effort toward achieving carbon neutrality has given impetus to the accelerated growth of renewable energy sources with government patronage. The smart grid has the mandate to integrate renewable energy sources adeptly toward meeting the vision of carbon neutrality by 2050 in many countries. Solar energy generation has emerged as one of the most viable options due to the rapid stride of innovations in this domain as well as due to the decreasing trend of the cost of photovoltaic (PV) technology. However, the uncertain sunlight leading to uncertain solar energy generation with a low-capacity factor has been a challenge to maintain the legacy reliability of the power system. Unlike a two-state model being used for analyzing conventional generators, a multistate model has been proposed for incorporating the random variation of solar energy generation correlating with random irradiance. An innovative approach for formulating probabilistic modeling of solar energy is implemented to evaluate different reliability indices such as loss of load probability (LOLP) and expected energy not served (EENS). Different case studies with results prove the efficacy of the proposed probabilistic model–based availability of solar power generation due to solar irradiance uncertainty along with interaction with stochastic load model on smart grid reliability and carbon neutrality.

show abstract

Reliability Evaluation and Cost Optimization of Solar Road Studs

Cited by 9 publications

References 17 publications

Cost Optimization and Reliability Parameter Extraction of a Complex Engineering System

Cost Optimization and Reliability Parameter Extraction of a Complex Engineering System

Optimal reliability allocation of heterogeneous components in pharmaceutical production plant

Impact Assessment of Solar Power Generation Uncertainty on Smart Grid Reliability and Carbon Neutrality

Contact Info

Product

Resources

About