2012
DOI: 10.1016/j.geothermics.2012.03.001
|View full text |Cite
|
Sign up to set email alerts
|

Optimization of energy extraction for closed shallow geothermal systems using linear programming

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
30
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 73 publications
(34 citation statements)
references
References 30 publications
0
30
0
Order By: Relevance
“…The degree of thermal interference in each case was compared to the movement of a 2 °C temperature anomaly (Paly et al 2012) in the horizontal and vertical directions after 10 and 100 years. Due to the symmetric nature and large lateral extent of the model boundaries (Fig.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The degree of thermal interference in each case was compared to the movement of a 2 °C temperature anomaly (Paly et al 2012) in the horizontal and vertical directions after 10 and 100 years. Due to the symmetric nature and large lateral extent of the model boundaries (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The allowable degree of thermal interference at a depth of 20 m after 100 years of operation time is considered to be 2 °C (Paly et al 2012). The numerical model was then run with different combinations of injection temperatures, injection rates and injection depths under four common geothermal gradients to obtain the predetermined 2 °C warming at the 20 m depth.…”
Section: Application Of Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…This consists in finding the maximum level of energy production allowing a constant production for a very long time. Therefore the optimisation of single or fields of BHE is carried out in order to limit their impact or increase their efficiency [7,8,9]. Limitations of temperature variations within the soil, 25 the carrier fluid and the grouting is another constraint.…”
Section: Introductionmentioning
confidence: 99%
“…In situ tests, such as thermal response tests [12,13] or laboratory measurements [14] are sometimes possible, but the values obtained may deliver only well-centered information or may not always (if not at all) be representative of in situ conditions at a larger scale. Such data are often scarce if not missing and authors often have to rely on standard calculation charts, values found in the literature, or simply default values implemented in standard software (e.g., [15][16][17][18]). In addition, the heterogeneity of the material properties and their potential anisotropy, which are difficult to detect with standard integration methods, make the problem more complex.…”
Section: Introductionmentioning
confidence: 99%