Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems

The potential of organic Rankine cycle (ORC) systems is acknowledged by both considerable research and development efforts and an increasing number of applications. Most research aims at improving ORC systems through technical performance optimization of various cycle architectures and working fluid...

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Main Author: Sanne Lemmens
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/9/7/485
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author Sanne Lemmens
author_facet Sanne Lemmens
author_sort Sanne Lemmens
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description The potential of organic Rankine cycle (ORC) systems is acknowledged by both considerable research and development efforts and an increasing number of applications. Most research aims at improving ORC systems through technical performance optimization of various cycle architectures and working fluids. The assessment and optimization of technical feasibility is at the core of ORC development. Nonetheless, economic feasibility is often decisive when it comes down to considering practical instalments, and therefore an increasing number of publications include an estimate of the costs of the designed ORC system. Various methods are used to estimate ORC costs but the resulting values are rarely discussed with respect to accuracy and validity. The aim of this paper is to provide insight into the methods used to estimate these costs and open the discussion about the interpretation of these results. A review of cost engineering practices shows there has been a long tradition of industrial cost estimation. Several techniques have been developed, but the expected accuracy range of the best techniques used in research varies between 10% and 30%. The quality of the estimates could be improved by establishing up-to-date correlations for the ORC industry in particular. Secondly, the rapidly growing ORC cost literature is briefly reviewed. A graph summarizing the estimated ORC investment costs displays a pattern of decreasing costs for increasing power output. Knowledge on the actual costs of real ORC modules and projects remains scarce. Finally, the investment costs of a known heat recovery ORC system are discussed and the methodologies and accuracies of several approaches are demonstrated using this case as benchmark. The best results are obtained with factorial estimation techniques such as the module costing technique, but the accuracies may diverge by up to +30%. Development of correlations and multiplication factors for ORC technology in particular is likely to improve the quality of the estimates.
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spelling doaj.art-e8b5e7b3c3b348fa91d434b498c1e8e32022-12-22T03:19:22ZengMDPI AGEnergies1996-10732016-06-019748510.3390/en9070485en9070485Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle SystemsSanne Lemmens0Department Engineering Management, University of Antwerp, Prinsstraat 13, 2000 Antwerp, BelgiumThe potential of organic Rankine cycle (ORC) systems is acknowledged by both considerable research and development efforts and an increasing number of applications. Most research aims at improving ORC systems through technical performance optimization of various cycle architectures and working fluids. The assessment and optimization of technical feasibility is at the core of ORC development. Nonetheless, economic feasibility is often decisive when it comes down to considering practical instalments, and therefore an increasing number of publications include an estimate of the costs of the designed ORC system. Various methods are used to estimate ORC costs but the resulting values are rarely discussed with respect to accuracy and validity. The aim of this paper is to provide insight into the methods used to estimate these costs and open the discussion about the interpretation of these results. A review of cost engineering practices shows there has been a long tradition of industrial cost estimation. Several techniques have been developed, but the expected accuracy range of the best techniques used in research varies between 10% and 30%. The quality of the estimates could be improved by establishing up-to-date correlations for the ORC industry in particular. Secondly, the rapidly growing ORC cost literature is briefly reviewed. A graph summarizing the estimated ORC investment costs displays a pattern of decreasing costs for increasing power output. Knowledge on the actual costs of real ORC modules and projects remains scarce. Finally, the investment costs of a known heat recovery ORC system are discussed and the methodologies and accuracies of several approaches are demonstrated using this case as benchmark. The best results are obtained with factorial estimation techniques such as the module costing technique, but the accuracies may diverge by up to +30%. Development of correlations and multiplication factors for ORC technology in particular is likely to improve the quality of the estimates.http://www.mdpi.com/1996-1073/9/7/485organic Rankine cycle (ORC)investment costscost estimatecase studyheat recovery
spellingShingle Sanne Lemmens
Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems
Energies
organic Rankine cycle (ORC)
investment costs
cost estimate
case study
heat recovery
title Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems
title_full Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems
title_fullStr Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems
title_full_unstemmed Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems
title_short Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems
title_sort cost engineering techniques and their applicability for cost estimation of organic rankine cycle systems
topic organic Rankine cycle (ORC)
investment costs
cost estimate
case study
heat recovery
url http://www.mdpi.com/1996-1073/9/7/485
work_keys_str_mv AT sannelemmens costengineeringtechniquesandtheirapplicabilityforcostestimationoforganicrankinecyclesystems