Nonlinear Regression Algorithm for Uncertainty Analysis in Production Data Measurements, Estancia Cholita, Santa Cruz, Argentina

2020 ◽  
Author(s):  
Magdalena Roddirguez ◽  
Augusto Carlos Huter ◽  
Vicente Berrios ◽  
Constantino Bitopoulus ◽  
Guillermo Andres Pitrelli
Author(s):  
Mehrdad Arashpour ◽  
Ron Wakefield

The hybrid use of off-site and on-site processes in construction projects has increased significantly over the past decade. The analysis and management of uncertainty in hybrid projects is not a trivial task as workflow variability in off-site and on-site operations can interact and amplify one another. The aim of this paper is to analyze various drivers of uncertainty such as high levels of project complexity, risk seeking behaviors, unavailability of resources, and combined variability in hybrid projects. Production data of two Australian construction companies were collected and utilized in modeling uncertainty. Findings show the significant effect of uncertainty drivers on project plan reliability and the necessity of an adequate uncertainty analysis and management in hybrid projects. The results of this study enhance the knowledge about management of hybrid projects and have the potential to improve the way construction companies deal with uncertainty in project environments.


2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Irfan Jamil ◽  
Jinquan Zhao ◽  
Li Zhang ◽  
Syed Furqan Rafique ◽  
Rehan Jamil

Access to solar energy is a prerequisite to remedy CO2 and improve the standard of human living. Green solar energy is only an immediate solution to add its zero emission profile and provide carbon footprint reduction benefits. This energy does not emit greenhouse gases which means it is a renewable free source of energy when producing electricity. The purpose of this paper is to investigate the accurate annul energy production data reducing uncertainty in solar energy estimates. This work investigated the solar energy assessment taking into account a detailed solar resource and energy production assessment for a 3 × 50 MW PV project with uncertainty analysis. The authors defined a total uncertainty of energy production which is estimated at 9.5% for one year and 8.9% for ten years as well as future variability of 3.4% for one year and 1.1% for ten years. The annual power degradation and expected energy production over the plant lifespan at dissimilar 99%, 90%, 75%, 60%, 50%, and 25% probability of surplus are also observed in this paper.


2003 ◽  
Vol 125 (4) ◽  
pp. 752-756 ◽  
Author(s):  
Teresa B. Styrylska ◽  
Agnieszka A. Lechowska

The paper deals with the unified Wilson plot method used for obtaining heat transfer correlations for finned heat exchangers. In this approach, the direct nonlinear regression is implemented. The numerical example with uncertainty analysis is included as well.


2011 ◽  
Author(s):  
Stephen J. Guastello
Keyword(s):  

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