A Selection Method for Power Generation Plants Used for Enhanced Geothermal Systems (EGS)

Kaiyong Hu, Jialing Zhu, Wei Zhang and Xinli Lu
Additional contact information
Kaiyong Hu: Tianjin Geothermal Research and Training Center, Tianjin University, Tianjin 300072, China
Jialing Zhu: Tianjin Geothermal Research and Training Center, Tianjin University, Tianjin 300072, China
Wei Zhang: Tianjin Geothermal Research and Training Center, Tianjin University, Tianjin 300072, China
Xinli Lu: Tianjin Geothermal Research and Training Center, Tianjin University, Tianjin 300072, China

Energies, 2016, vol. 9, issue 8, 1-12

Abstract: As a promising and advanced technology, enhanced geothermal systems (EGS) can be used to generate electricity using deep geothermal energy. In order to better utilize the EGS to produce electricity, power cycles’ selection maps are generated for people to choose the best system based on the geofluids’ temperature and dryness conditions. Optimizations on double-flash system (DF), flash-organic Rankine cycle system (FORC), and double-flash-organic Rankine cycle system (DFORC) are carried out, and the single-flash (SF) system is set as a reference system. The results indicate that each upgraded system (DF, FORC, and DFORC) can produce more net power output compared with the SF system and can reach a maximum net power output under a given geofluid condition. For an organic Rankine cycle (ORC) using R245fa as working fluid, the generated selection maps indicate that using the FORC system can produce more power than using other power cycles when the heat source temperature is below 170 °C. Either DF or DFORC systems could be an option if the heat source temperature is above 170 °C, but the DF system is more attractive under a relatively lower geofluid’s dryness and a higher temperature condition.

Keywords: enhanced geothermal systems; power cycle’s selection method; geothermal energy; optimization method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/9/8/597/pdf (application/pdf)
https://www.mdpi.com/1996-1073/9/8/597/ (text/html)

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:gam:jeners:v:9:y:2016:i:8:p:597-:d:74946

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().