Results 31 to 40 of about 248,223 (333)

Deformation prediction of the Northern Mountain landslide in Lijie Town of Zhouqu, Gansu Province based on long-short term memory network

Zhongguo dizhi zaihai yu fangzhi xuebao, 2023
The North Mountain landslide in Lijie Town has been in a long-term creeping deformation state and has experienced multiple landslide and debris flow disasters.
Ziyan GAO, Ruidong LI, Pengqing SHI, Xiaolong ZHOU, Juan ZHANG   +4 more
doaj   +1 more source

A Modelica Toolbox for the Simulation of Borehole Thermal Energy Storage Systems

Energies, 2020
Borehole thermal energy storage (BTES) systems facilitate the subsurface seasonal storage of thermal energy on district heating scales. These systems’ performances are strongly dependent on operational conditions like temperature levels or hydraulic ...
Julian Formhals, Hoofar Hemmatabady, Bastian Welsch, Daniel Otto Schulte, Ingo Sass   +4 more
doaj   +1 more source

Geothermal development and the Salton Sea [PDF]

, 1976
One of the limiting factors on energy development in the arid American West is the availability of water. Even geothermal development must take into account the hydrologic cycle of the surrounding area.
Goldsmith, Martin
core   +1 more source

Numerical investigation of parameters influencing back-thrust development in outer wedge fronts of fold-and-thrust belt systems [PDF]

Solid Earth
Thrusting in fold-and-thrust belts can manifest in different styles. Here we investigate the parameters influencing back-thrust development over fore-thrust development at the frontal part of fold-and-thrust belts using numerical geomechanical forward ...
S. Mahmoodpour, F. Duschl, M. C. Drews
doaj   +1 more source

Research on Enhancing Heat Transfer Performance by BTES Hot and Cold Partition

南方能源建设, 2021
[Introduction] Borehole Thermal Energy Storage (BTES: Borehole Thermal Energy Storage) refers to a borehole closed cycle system that uses the heat capacity of underground soil, rocks and water to store energy.
LIU Zheng, OUYANG Xinnan, LIU Shaoyong, CHEN Yongan   +3 more
doaj   +1 more source

Fortissat minewater geothermal district heating project: case study [PDF]

, 2017
This study summarises the findings of a feasibility assessment for a potential minewater geothermal energy system in the vicinity of the James Hutton Institute’s Hartwood Home Farm, North Lanarkshire in Scotland’s Central Belt. This study aimed to assess
Banks, David, Barron, Hugh, Harnmeijer, Jelte, Lu, Hong, Nikolakopoulou, Valia, Schlicke, Alex, Steen, Paul, Townsend, David, Zhengao, Chen   +8 more
core   +1 more source

Proposal of a consistent framework to integrate geothermal potential classification with energy extraction [PDF]

, 2015
The classification of geothermal resources is dependent on the estimate of their corresponding geothermal potential, so adopting a common assessment methodology would greatly benefit operators, investors, government regulators and consumers.
Falcone, G.
core   +1 more source

Temporal variation in source location of continuous tremors before ash–gas emissions in January 2014 at Aso volcano, Japan

Earth, Planets and Space, 2018
Volcanic tremor is often observed to be associated with an increase in volcanic activity and during periods approaching eruptions. It is therefore of crucial importance to study this phenomenon.
Misa Ichimura, Akihiko Yokoo, Tsuneomi Kagiyama, Shin Yoshikawa, Hiroyuki Inoue   +4 more
doaj   +1 more source

Preliminary Study on Optimization of a Geothermal Heating System Coupled with Energy Storage for Office Building Heating in North China

Energies, 2022
Geothermal heating is considered to be one of the low-carbon-energy technologies for building heating. Aiming at the problem that the operating cost and investment cost of geothermal heating systems are still high, the conventional geothermal heating ...
Yapeng Ren, Xinli Lu, Wei Zhang, Jiaqi Zhang, Jiali Liu, Feng Ma, Zhiwei Cui, Hao Yu, Tianji Zhu, Yalin Zhang   +9 more
doaj   +1 more source

The Geothermal Artificial Intelligence for geothermal exploration

Renewable Energy, 2022
Exploration of geothermal resources involves analysis and management of a large number of uncertainties, which makes investment and operations decisions challenging. Remote Sensing (RS), Machine Learning (ML) and Artificial Intelligence (AI) have potential in managing the challenges of geothermal exploration.
J. Moraga, H.S. Duzgun, M. Cavur, H. Soydan   +3 more
openaire   +2 more sources