A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control

Sarah Noye, Rubén Mulero Martinez, Laura Carnieletto, Michele De Carli and Amaia Castelruiz Aguirre

Renewable and Sustainable Energy Reviews, 2022, vol. 153, issue C

Abstract: Geothermal energy has the potential to contribute significantly to the CO2 reduction targets as a renewable source for building heating and cooling but is yet under exploited, mostly due to its high initial investment cost. A lot of research is being carried out to optimise Ground Source Heat Pump (GSHP) systems’ design, but a good control strategy is also fundamental to achieve long-term performance and reduced payback time.

Keywords: Geothermal energy; Ground source heat pump; Control; Predictive model; Machine learning (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S136403212100959X
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:rensus:v:153:y:2022:i:c:s136403212100959x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2021.111685

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().