IoT Sensor Challenges for Geothermal Energy Installations Monitoring: A Survey

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F23%3A10252629" target="_blank" >RIV/61989100:27120/23:10252629 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27240/23:10252629

Result on the web

<a href="https://www.mdpi.com/1424-8220/23/12/5577" target="_blank" >https://www.mdpi.com/1424-8220/23/12/5577</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s23125577" target="_blank" >10.3390/s23125577</a>

Result language

angličtina

Original language name

IoT Sensor Challenges for Geothermal Energy Installations Monitoring: A Survey

Original language description

Geothermal energy installations are becoming increasingly common in new city developments and renovations. With a broad range of technological applications and improvements in this field, the demand for suitable monitoring technologies and control processes for geothermal energy installations is also growing. This article identifies opportunities for the future development and deployment of IoT sensors applied to geothermal energy installations. The first part of the survey describes the technologies and applications of various sensor types. Sensors that monitor temperature, flow rate and other mechanical parameters are presented with a technological background and their potential applications. The second part of the article surveys Internet-of-Things (IoT), communication technology and cloud solutions applicable to geothermal energy monitoring, with a focus on IoT node designs, data transmission technologies and cloud services. Energy harvesting technologies and edge computing methods are also reviewed. The survey concludes with a discussion of research challenges and an outline of new areas of application for monitoring geothermal installations and innovating technologies to produce IoT sensor solutions.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sensors

ISSN

1424-3210

e-ISSN

1424-8220

Volume of the periodical

23

Issue of the periodical within the volume

12

Country of publishing house

CH - SWITZERLAND

Number of pages

26

Pages from-to

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UT code for WoS article

001017915400001

EID of the result in the Scopus database

2-s2.0-85163938721