How Do Data Centers Make Energy-Efficiency Investment Decisions? Qualitative Evidence from Focus Groups and Interviews

data centers energy efficiency paradox market failures technology adoption

Journal

Energy efficiency
ISSN: 1570-6478
Titre abrégé: Energy Effic
Pays: Netherlands
ID NLM: 101744995

Informations de publication

Date de publication:
06 2019
Historique:
entrez: 4 6 2019
pubmed: 4 6 2019
medline: 4 6 2019
Statut: ppublish

Résumé

The data center industry is one of the fastest growing energy users in the US. While the industry has improved its energy efficiency over the past decade, engineering analyses suggest that ample opportunities remain to reduce energy use that would save firms money. This study explores whether and why data centers might limit investment in energy efficiency. Given the scarcity of empirical data in this context, we conducted focus groups and interviews with data center managers to elicit information about factors affecting their investments and used content analysis to qualitatively evaluate the results. Split incentives between departments within companies and between colocation data centers and their tenants, imperfect information about the performance of new technologies, and tradeoffs with data center reliability were the most pervasive factors discussed by participants. While we find some evidence that market failure explanations such as split incentives and imperfect information had a limited role in slowing adoption for participants, rival explanations such as the cost of acquiring context-specific information, and opportunity costs associated with alternate uses of funds or highly valued attributes played a larger role in slowing investment in energy efficiency.

Identifiants

pubmed: 31156355
doi: 10.1007/s12053-019-09782-2
pmc: PMC6541029
mid: NIHMS1021338
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1359-1377

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES009089
Pays : United States

Références

Qual Health Res. 2005 Nov;15(9):1277-88
pubmed: 16204405

Auteurs

Heather Klemick (H)

Authors are employed at the U.S. EPA, 1200 Pennsylvania Ave, NW MC 1809T, Washington, DC 20460.

Elizabeth Kopits (E)

Authors are employed at the U.S. EPA, 1200 Pennsylvania Ave, NW MC 1809T, Washington, DC 20460.

Ann Wolverton (A)

Authors are employed at the U.S. EPA, 1200 Pennsylvania Ave, NW MC 1809T, Washington, DC 20460.

Classifications MeSH