2012
DOI: 10.1016/j.solener.2012.04.015
|View full text |Cite
|
Sign up to set email alerts
|

Probabilistic modeling of a parabolic trough collector power plant – An uncertainty and sensitivity analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
11
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 30 publications
(11 citation statements)
references
References 6 publications
0
11
0
Order By: Relevance
“…The monitored parameter to evaluate and compare the efficacy of each method and the tube performance is the solar transmittance [11,12] of the outer glass tube in each of the test samples. The increase of transmittance achieved by each method is measured in every single application.…”
Section: Test Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The monitored parameter to evaluate and compare the efficacy of each method and the tube performance is the solar transmittance [11,12] of the outer glass tube in each of the test samples. The increase of transmittance achieved by each method is measured in every single application.…”
Section: Test Methodsmentioning
confidence: 99%
“…Monitoring of mirror reflectance [9,10] is a common task developed daily in commercial plants. However no effort has yet been made to monitor tubes transmittance, which has also impact on the global plant performance [11]. Due to concentrating factor the loss of an effective surface on the tube is more critical than losing an equal surface on the mirrors.…”
Section: Introductionmentioning
confidence: 99%
“…All the models [5] [6] [7] which allow prediction of power plant performance and carrying out sensitivity analysis [8] consider the receiver´s thermal performance a key parameter with a direct impact on facility performance. Tube thermal performance depends on the maintenance of the vacuum between both tubes [5] [6], that reduces convective and conductive losses and assures the maintenance of the inner tube coatings [9].…”
Section: Introductionmentioning
confidence: 99%
“…A detailed knowledge of the solar resource is a critical point to perform an economical feasibility analysis of a CSP plant, since the DNI is the most determining variable in the final energy yield (Ho and Kolb, 2010;Zaversky et al, 2012). Due to the significant short-term and long-term variability in DNI, CSP analysts must obtain DNI data time series, and not just mean annual averages (Meyer et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, there is a paradigm shift that proposes the adoption of probabilistic approaches to model variability and uncertainties in both electricity production and system cost to achieve sound estimates of the economic feasibility of commercial CSP plants (Eck et al, 2012;Ho and Kolb, 2010;Zaversky et al, 2012). Within this new paradigm, the estimation of the economic feasibility of a commercial CSP plant project should address both the variability of the solar resource and of the cost of some key investment and operation and maintenance elements of the plant as well as the uncertainty associated with the energy model estimates and cost data (Fernández-Peruchena et al, 2014a) (Fig.…”
Section: Introductionmentioning
confidence: 99%