A portfolio decision analysis approach to support energy research and development resource allocation

Margaret Kurth, Jeffrey M. Keisler, Matthew E. Bates, Todd S. Bridges, Jeffrey Summers and Igor Linkov

Energy Policy, 2017, vol. 105, issue C, 128-135

Abstract: Research sponsored by the US Department of Energy (DOE) aims to facilitate a clean and independent energy future for the nation. Strategic planning for energy research and development (R&D) can be complex and dynamic, in part due to federal budgetary constraints and volatility. Managing R&D funding to advance energy technologies, in spite of these challenges, is a crucial component of the nation's long term energy policy. This study demonstrates a portfolio decision analysis (PDA) approach to support R&D resource allocation decisions for the DOE Office of Fossil Energy's Carbon Capture and Storage R&D program. A multi-attribute value model uses technology readiness levels (TRLs) and other metrics to represent the overall objectives of the R&D program in order to evaluate alternative research portfolios given limited funding. Mathematical optimization identifies efficient funding allocations for each technology program area to maximize the multi-attribute value generated from the total budget. This is especially useful for responding to externally imposed budget changes. As the case study demonstrates, explicitly funding the most value-generating options leads to greater expected R&D programmatic value than typical strategies of equal or proportional distributions of a budget change among technology program areas.

Keywords: Portfolio decision analysis (PDA); Research and development (R&D); Technology readiness level (TRL); Multi-attribute value model (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301421517301064
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:105:y:2017:i:c:p:128-135

DOI: 10.1016/j.enpol.2017.02.030

Access Statistics for this article

Energy Policy is currently edited by N. France

More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().