Calculation of Storage Capacity of Geothermal Resources by Element Weight Method: A Case Study of Lantian Bahe Formation in Xi'an Depression

2011 ◽  
Author(s):  
Li Yunfeng ◽  
Zhou Ya'nan ◽  
Yu Xiangqian ◽  
Li Bo
Keyword(s):  
Storage Capacity ◽  
Geothermal Resources ◽  
Weight Method

Calculation of storage capacity of geothermal resources by weighted element weight method — A case study of Zhangjiapo Formation in Xi’an Depression

2011 ◽  
Vol 32 (1-3) ◽  
pp. 373-380 ◽  
Author(s):  
Yunfeng Li ◽  
Jinlai Ren ◽  
Yaoguo Wu ◽  
Yaqiao Sun ◽  
Ya’nan Zhou ◽  
...  
Keyword(s):  
Storage Capacity ◽  
Geothermal Resources ◽  
Weight Method

scholarly journals The Analysis of Heat Storage Capacity and the Formation Characteristics of Geothermal Resources in Sedimentary Basins —— A Case Study on Dunhuang Basin

2015 ◽  
Vol 8 (1) ◽  
pp. 73-76
Author(s):  
Yujiang He ◽  
Guiling Wang ◽  
Wenjing Lin ◽  
Wei Zhang
Keyword(s):  
Storage Capacity ◽  
Heat Storage ◽  
Sedimentary Basin ◽  
Sedimentary Basins ◽  
Geological Structure ◽  
Geothermal Reservoir ◽  
Geothermal Resource ◽  
Reservoir Model ◽  
Geothermal Resources

The geothermal resources in sedimentary basin are affected by many factors because the characteristic of geothermal reservoirs is very complex, so the heat storage capacities are hard to calculate. This paper took Dunhuang Basin as an example to analyze the geological structure, stratigraphic structure and the formation mechanism of geothermal water based on the formation characteristics of the geothermal resources. The analysis results showed the geothermal reservoir parameters, including the area, thickness, and temperature of the geothermal reservoir, and porosity, etc. Based on geothermal reservoir model, the conclusion was that the geothermal resource of Dunhuang Basin was 7.75E+16kJ. The results provided an advice for the exploitation of geothermal resources in sedimentary basins.

scholarly journals The contribution of the geothermal resources to local employment: Case study from Poland

2021 ◽  
Vol 7 ◽  
pp. 1190-1202
Author(s):  
Katarzyna A. Kurek ◽  
Wim Heijman ◽  
Johan van Ophem ◽  
Stanisław Gędek ◽  
Jacek Strojny
Keyword(s):  
Geothermal Resources ◽  
Local Employment

Achieving Large Volumetric Gas Storage Capacity in Metal–Organic Frameworks by Kinetic Trapping: A Case Study of Xenon Loading in MFU-4

2018 ◽  
Vol 140 (32) ◽  
pp. 10191-10197 ◽  
Author(s):  
Hana Bunzen ◽  
Felicitas Kolbe ◽  
Andreas Kalytta-Mewes ◽  
German Sastre ◽  
Eike Brunner ◽  
...  
Keyword(s):  
Storage Capacity ◽  
Metal Organic Frameworks ◽  
Gas Storage ◽  
Metal Organic ◽  
Kinetic Trapping

scholarly journals Multi-Granularity Feasibility Evaluation Method of the Partial Destructive Disassembly for an End-of-Life Product

2021 ◽  
Author(s):  
Lei Guo ◽  
Xiufen ZHANG
Keyword(s):  
End Of Life ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Entropy Weight ◽  
Component Level ◽  
Fine Grained ◽  
Feasibility Evaluation ◽  
Entropy Weight Method ◽  
Weight Method

Abstract Partial destructive disassembly (PDD) is essential for end-of-life products to improve their automatic disassembly efficiency and reduce disassembly cost. A feasibility evaluation of the PDD is the key step to evaluate whether the PDD can be implemented. However, it has not been studied previously to our knowledge. To deal with this problem, a multi-granularity feasibility evaluation method is proposed. A multi-granularity feasibility evaluation model of the PDD was constructed based on the complex product’s hierarchical structure, which not only described the evaluation indices from the product level to the component level but also presented methods and rules to quantify them. 1Thus, disassembly entropy was introduced into the target group’s coarse granularity evaluation. The feasibility of the fine-grained index of the PDD for the component layer was constructed based on the product’s failure characteristic. The fine-grained index was calculated by the fuzzy trigonometric function and its weighting was obtained based on the structure entropy weight method. Thus, the results of the evaluation were used as feedback to guide the PDD process. Finally, a Passat engine case study illustrates the feasibility and effectiveness of the method.

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