Multi-objective optimization of heat extraction from multilateral-well geothermal energy system

Guofeng Song, Gensheng Li, Xianzhi Song, Fuqiang Xu, Yu Shi, Gaosheng Wang

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Operational parameter optimization is of great significance to improve overall heat extraction performance from hydrothermal or enhanced geothermal systems. Injection flowrate/temperature and production pressure are relatively easy to control to optimize the exploitation of geothermal resources during the planned reservoir lifetime. The net heat power and flow impedance are two contradictory production indexes for describing the exploitation effect. One indicates energy efficiency from reservoirs, the other represents the mining difficulty or artificial energy input. In this study, a multi-objective optimization procedure is proposed and applied to a synthetic multilateral-well system for 30 years. Firstly, a multilateral-well geothermal model coupled with thermal and hydraulic parameters is established. Then, a multiple regression method is employed to obtain the net heat power and flow impedance functions with injection/production parameters and physical properties of the reservoir. Finally, a multi-objective genetic algorithm is used to gain a Pareto solution set of injection and production parameters. A comparison with the base case indicates the superiority, high efficiency, and intelligence of multi-objective optimization.

Original languageEnglish
Title of host publicationGeothermal Resources Council Virtual Annual Meeting and Expo, GRC 2020
Subtitle of host publicationClean, Renewable and Always On
PublisherGeothermal Resources Council
Pages965-978
Number of pages14
ISBN (Electronic)9781713822097
Publication statusPublished - 2020
Externally publishedYes
EventGeothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020 - Virtual, Online
Duration: 19 Oct 202023 Oct 2020

Publication series

NameTransactions - Geothermal Resources Council
Volume44
ISSN (Print)0193-5933

Conference

ConferenceGeothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020
CityVirtual, Online
Period19/10/2023/10/20

Keywords

  • Flow impedance
  • Genetic algorithm
  • Geothermal system
  • Multi-objective optimization
  • Multilateral-well
  • Operational parameters

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