scholarly journals Geothermal resource exploration by using Numerical simulation and comprehensive geophysical method

2021 ◽  
Author(s):  
Yang Yang ◽  
Bin Xiong ◽  
Sanxi Peng ◽  
Ibrar Iqbal ◽  
Tianyu Zhang
Keyword(s):  
Detection Efficiency ◽  
Energy Resource ◽  
Clean Energy ◽  
Shanxi Province ◽  
Geothermal System ◽  
Exploratory Research ◽  
Geothermal Resource ◽  
Geothermal Resources ◽  
Transient Electromagnetic ◽  
Resistivity Model

Abstract Geothermal energy is an important renewable clean energy resource with high development and usage potential. Geothermal resources, on the other hand, are buried deep below, and mining hazards are significant. Geophysical investigation is frequently required to determine the depth and location of geothermal resources. The Transient Electromagnetic Method (TEM) and the Controlled Source Audio Frequency Magnetotellurics (CSAMT) have the highest detection efficiency and accuracy of all electromagnetic exploration methods. This article initially explains the algorithm theory of the finite difference technique before establishing a simplified geothermal system resistivity model. Established on the simplified resistivity model, a simulation analysis of the ability of CSAMT and TEM to distinguish target body faults at different resistivities and dip angles was performed, and the effectiveness and difference of the two methods in detecting typical geothermal resource targets was verified. A complete exploratory research of CSAMT and TEM was conducted in Huairen County, Shuozhou City, Shanxi Province, China, based on theoretical analysis. Both approaches can reflect the geoelectric structure of the survey region, demonstrating the efficacy of the two methods in detecting genuine geothermal resources.

The Development Prospects and Recommendations of China's Hot Dry Rock Development

2014 ◽  
Vol 521 ◽  
pp. 842-845 ◽  
Author(s):  
Da Tong Zhou ◽  
Zhi Ping Li
Keyword(s):  
Energy Demand ◽  
Energy Resource ◽  
Resource Depletion ◽  
Clean Energy ◽  
Developed Countries ◽  
Geothermal Resources ◽  
Continuous Growth ◽  
Hot Dry Rock ◽  
Distributed Energy Resource ◽  
Human Energy

With the continuous growth of human energy demand, a large number of people around the world increasingly concern about the exploitation of traditional fossil energy will face resource depletion and environmental pollution, scientists from various countries have been constantly exploring, trying to find renewable and non-contamination of clean energy. As a special geothermal resources, hot dry rock have attracted attention of many countries abroad as early as the 1980s and 1990s, which successfully constructed experimental hot dry rock power generation stations. In the situation of worlds traditional energy resources are much more costly and hard to develop, the hot dry rock, a widely distributed energy resource in China, we have the ability and need to be developed and utilized of it. This article describes the Chinese potential amount of hot dry rock resources and preferred areas of mining development, as well as developed countries hot dry rock technology research status and experiences, which can make some comments on the actual exploration and exploitation in China.

scholarly journals Geothermal resource potential assessment of Erdaobaihe, Changbaishan volcanic field: Constraints from geophysics

2021 ◽  
Vol 13 (1) ◽  
pp. 1053-1063
Author(s):  
Zhi-He Xu ◽  
Zhen-Jun Sun ◽  
Wei Xin ◽  
Liping Zhong
Keyword(s):  
Geophysical Methods ◽  
Close Correlation ◽  
Volcanic Field ◽  
Hot Water ◽  
Geothermal System ◽  
Published Data ◽  
Geothermal Resource ◽  
Geothermal Resources ◽  
Growth Zones ◽  
Geothermal Drilling

Abstract Geothermal resources occurring in the Changbaishan volcanic field are directly or indirectly controlled by volcanic activity and exhibit a close correlation with deep-seated faults. Energy and thermal transfer are generally controlled by groundwater circulation and hot gas emission. This article considers the detectability of hot water and gas by geophysical methods. The controlled source acoustic magnetotelluric (CSAMT) and radon (222Rn) gas methods give straightforward information on electrical resistivity and natural radon emissions, respectively, to assess the geothermal condition. The CSAMT method detected five-banded low-apparent resistivity bodies (decreasing from 3,000 to 300 Ωm), indicating that there exists a high degree of water-bearing capacities in the subsurface. The radon (222Rn) gas concentrations were monitored in two rapid growth zones: one zone showing values ranging from 3,000 to 23,000 Bq/m3, and the other with values from 4,000 to 24,000 Bq/m3. These changes demonstrate that the heat energies available in these areas were very high and that there is potential for geothermal resources in those zones. Combining with previously published data from geothermometry and geothermal drilling, we argue that there is great potential in Erdaobaihe for geothermal exploitation and that the geothermal resource type should be classified into uplift mountain geothermal system no magma type.

Application of Grounded Electrical Source Airborne Transient Electromagnetic (GREATEM) System in Goaf Water Detection

2019 ◽  
Vol 24 (3) ◽  
pp. 387-397 ◽  
Author(s):  
Dongsheng Li ◽  
Zhongbin Tian ◽  
Yulong Ma ◽  
Jiayue Gu ◽  
Yanju Ji ◽  
...  
Keyword(s):  
Coal Mining ◽  
Detection Efficiency ◽  
Water Inrush ◽  
Shanxi Province ◽  
Effective Technique ◽  
Water Detection ◽  
Transient Electromagnetic ◽  
High Detection ◽  
High Detection Efficiency ◽  
Electrical Source

Since goaf water can cause water inrush, collapse or other severe geological hazards in coal mining, its detection has become a significant issue. As the grounded electrical source airborne transient electromagnetic (GREATEM) system can provide considerable prospecting depth, lateral resolution, and high detection efficiency, the method may be suitable for goaf water detection. To verify the feasibility, a field electromagnetic survey over Qinshui coal mine (Shanxi province, China) was conducted, and the system was used to detect the geoelectric characteristics of goaf water. After data acquisition, data processing, and apparent resistivity calculation, the resistivity profile of survey area is clearly presented, which is consistent with the information provided by Shanxi Coal Geology Geophysical Surveying Exploration Institute, China. The result shows that the application of GREATEM system is an effective technique for resistivity detection of goaf water, and can reduce the risks in coal mining.

POTENSI PENGEMBANGAN PEMBANGKIT LISTRIK PANASBUMI SUHU RENDAH DI KABUPATEN MANOKWARI SELATAN

2014 ◽  
Vol 13 (3) ◽  
Author(s):  
Agustinus Denny Unggul Raharjo
Keyword(s):  
Population Growth ◽  
Natural Resources ◽  
Geothermal System ◽  
Reservoir Temperature ◽  
Geothermal Resources ◽  
Autonomous Region ◽  
Electric Generator ◽  
Binary Cycle ◽  
West Papua ◽  
The Government

<p class="BodyA">South Manokwari Regency is a new autonomous region in West Papua Province with abundant natural resources. As a new autonomous region South Manokwari Regency will be experiencing significant population growth. Population growth along with development and modernization will give burden to electricity demand. Alternatively, electricity can be provided with geothermal resources in Momiwaren District. Based on survey conducted by the government through the Geology Resources Centre in 2009, the reservoir temperature of the geothermal sources is 84<sup>o</sup>C with non volcanic geothermal system. Thus, the geothermal resources in South Manokwari Regency could be developed into binary cycle electric generator.</p>

scholarly journals Deep electrical resistivity tomography for the prospection of low- to medium-enthalpy geothermal resources

2019 ◽  
Vol 219 (3) ◽  
pp. 2056-2072
Author(s):  
A Carrier ◽  
F Fischanger ◽  
J Gance ◽  
G Cocchiararo ◽  
G Morelli ◽  
...  
Keyword(s):  
Electrical Potential ◽  
Bouguer Anomaly ◽  
Industrial Area ◽  
Gravity Models ◽  
Efficient Technology ◽  
Geothermal Resources ◽  
Reflection Seismic ◽  
Resistivity Model ◽  
Noise Data ◽  
Geoelectrical Methods

SUMMARY The growth of the geothermal industry sector requires innovative methods to reduce exploration costs whilst minimizing uncertainty during subsurface exploration. Until now geoelectrical prospection had to trade between logistically complex cabled technologies reaching a few hundreds meters deep versus shallow-reaching prospecting methods commonly used in hydro-geophysical studies. We present a recent technology for geoelectrical prospection, and show how geoelectrical methods may allow the investigation of medium-enthalpy geothermal resources until about 1 km depth. The use of the new acquisition system, which is made of a distributed set of independent electrical potential recorders, enabled us to tackle logistics and noise data issues typical of urbanized areas. We acquired a 4.5-km-long 2-D geoelectrical survey in an industrial area to investigate the subsurface structure of a sedimentary sequence that was the target of a ∼700 m geothermal exploration well (Geo-01, Satigny) in the Greater Geneva Basin, Western Switzerland. To show the reliability of this new method we compared the acquired resistivity data against reflection seismic and gravimetric data and well logs. The processed resistivity model is consistent with the interpretation of the active-seismic data and density variations computed from the inversion of the residual Bouguer anomaly. The combination of the resistivity and gravity models suggest the presence of a low resistivity and low density body crossing Mesozoic geological units up to Palaeogene–Neogene units that can be used for medium-enthalpy geothermal exploitation. Our work points out how new geoelectrical methods may be used to identify thermal groundwater at depth. This new cost-efficient technology may become an effective and reliable exploration method for the imaging of shallow geothermal resources.

scholarly journals Can Hydropower Still Be Considered a Clean Energy Source? Compelling Evidence from a Middle-Sized Hydropower Station in China

2019 ◽  
Vol 11 (16) ◽  
pp. 4261 ◽  
Author(s):  
Xuerong Li ◽  
Faliang Gui ◽  
Qingpeng Li
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Construction Materials ◽  
Ghg Emissions ◽  
Energy Resource ◽  
Clean Energy ◽  
Hydropower Station ◽  
Intergovernmental Panel ◽  
Fossil Carbon ◽  
Global Economic Growth

The development of clean energy is of great importance in alleviating both the energy crisis and environmental pollution resulting from rapid global economic growth. Hydroelectric generation is considered climate benign, as it neither requires fossil carbon to produce energy nor emits large amounts of greenhouse gases (GHG), unlike conventional energy generation techniques such as coal and oil power plants. However, dams and their associated reservoirs are not entirely GHG-neutral and their classification as a clean source of energy requires further investigation. This study evaluated the environmental impact of the Xiajiang hydropower station based on life cycle assessment (LCA) according to the 2006 Intergovernmental Panel on Climate Change (IPCC) guidelines, focusing specifically on GHG emissions after the submersion of the reservoir. Results reveal that although hydropower is not as clean as we thought, it is still an absolute “low emissions” power type in China. The amount of GHG emissions produced by this station is 3.72 million tons with an emissions coefficient of 32.63 g CO2eq/kWh. This figure is lower than that of thermal power, thus implying that hydropower is still a clean energy resource in China. Our recommendations to further minimize the environmental impacts of this station are the optimization of relevant structural designs, the utilization of new and improved construction materials, and the extension of farmland lifting technology.

Weak Transient Electromagnetic Radiation Signal Detection Method Considering the New Watershed Image Segmentation Algorithm

2019 ◽  
Vol 34 (03) ◽  
pp. 2054009
Author(s):  
Wenjun Huo ◽  
Peng Chu ◽  
Kai Wang ◽  
Liangting Fu ◽  
Zhigang Niu ◽  
...  
Keyword(s):  
Electromagnetic Radiation ◽  
Cross Correlation ◽  
Detection Efficiency ◽  
Signal To Noise Ratio ◽  
Estimation Method ◽  
Detection Methods ◽  
Signal To Noise ◽  
Long Distance ◽  
Transient Electromagnetic ◽  
Noise Ratio

In order to study the detection methods of weak transient electromagnetic radiation signals, a detection algorithm integrating generalized cross-correlation and chaotic sequence prediction is proposed in this paper. Based on the dual-antenna test and cross-correlation information estimation method, the detection of aperiodic weak discharge signals under low signal-to-noise ratio is transformed into the estimation of periodic delay parameters, and the noise is reduced at the same time. The feasibility of this method is verified by simulation and experimental analysis. The results show that under the condition of low signal-to-noise ratio, the integrated method can effectively suppress the influence of 10 noise disturbances. It has a high detection probability for weak transient electromagnetic radiation signals, and needs fewer pulse accumulation times, which improves the detection efficiency and is more suitable for long-distance detection of weak electromagnetic radiation sources.

Energy Transition and Post-COVID World

2021 ◽  
Vol 65 (6) ◽  
pp. 79-85
Author(s):  
E. Telegina
Keyword(s):  
Social Transformation ◽  
Continuous Process ◽  
Energy Resource ◽  
Energy Transition ◽  
Clean Energy ◽  
Green Energy ◽  
Digital Transformation ◽  
Transport Infrastructure ◽  
Electricity Production ◽  
Digital World

Received 13.01.2021. The coronavirus pandemic has accelerated global economic, technological and social transformation, including the energy sector, and has given the impetus to energy transition from organic fuels to clean energy sources. Though oil will remain an important energy resource in the global energy balance, in the long run renewables will become the leading energy. The European Union and China are the leaders in implementation of energy transition strategies from fossil to clean energy. The transformation in the energy market has affected dramatically the relations between producers and consumers, who now actively determine the consumption trends (for example, green energy, electric vehicles, etc.). Distributed generation and blockchain in power industry enable the consumers to play an active part in the electricity production and distribution chains. Digital transformation and climate agenda are changing the structure of energy business from vertically integrated companies to knowledge-intensive networks. Investors almost unanimously vote for renewable energy. The largest oil and gas companies change their long-term strategies and transform into energy holdings with the prevailing share of renewables in the business structure. Hydrogen attracts particular attention as a promising energy source. The EU plans to develop hydrogen transport infrastructure. For its part, Russia has the ability to supply hydrogen to the European market through the existing gas pipelines. Coronacrisis accelerated the development of online services, artificial intelligence, and distant work. Education and telemedicine received a powerful impetus for further development. Еducation becomes continuous process in the digital world. New educational ecosystems in which skills and competencies are worked out on an interdisciplinary basis are formed. Digital transformation meets the expectations of the generation Z, which in the coming decades will become economically active and will dominate in social and economic agenda. Digitalization, adaptive nature-like technologies, environmentally friendly energy resources, flexible horizontal network between market participants are already a post-COVID reality.

scholarly journals Multi-objective optimization of ORC geothermal conversion system integrated with life cycle assessment

2018 ◽  
Vol 70 ◽  
pp. 01012
Author(s):  
Dominika Matuszewska ◽  
Marta Kuta ◽  
Jan Górski
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Geothermal System ◽  
Geothermal Systems ◽  
Multi Objective Optimization ◽  
Geothermal Resources ◽  
Multi Objective ◽  
Conversion Technology

This paper details the development of a systematic methodology to integrated life cycle assessment (LCA) with thermo-economic models and to thereby identify the optimal exploitation schemes of geothermal resources. Overall geothermal systems consist of a superstructure of geothermal exploitable resources, a superstructure of conversion technology and multiple demand profiles for Swiss city. In this paper, an enhanced geothermal system has been chosen as exploitable resources. The energy conversion technology used in modelling is an organic Rankine cycle, which can be used to supply heat and electricity. In the Swiss case four demand profiles periods are considered: summer, interseason, winter and extreme winter, the city Nyon serving for the example case study. The multi-objective optimization system, that uses an evolutionary algorithm, is employed to determine the optimal scheme for some of the prepared models, with exergy efficiency and environmental impact as objectives.

A Fuzzy Logic Controlled Single Axis Solar Tracking System

2015 ◽  
Vol 787 ◽  
pp. 893-898
Author(s):  
Suneetha Racharla ◽  
K. Rajan ◽  
K.R. Senthil Kumar
Keyword(s):  
Fuzzy Controller ◽  
Tracking System ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Clean Energy ◽  
Energy Sources ◽  
Pv Panel ◽  
Solar Tracking ◽  
Simulation Results ◽  
Improved Performance

Recently renewable energy sources have gained much attention as a clean energy. But the main problem occurs with the varying nature with the day and season. Aim of this paper is to conserve the energy, of the natural resources. For solar energy resource, the output induced in the photovoltaic (PV) modules depends on solar radiation and temperature of the solar cells. To maximize the efficiency of the system it is necessary to track the path of sun in order to keep the panel perpendicular to the sun. This paper proposes the design and construction of a microcontroller-based solar panel tracking system. The fuzzy controller aims at maximizing the efficiency of PV panel by focusing the sunlight to incident perpendicularly to the panel. The system consists of a PV panel which can be operated with the help of DC motor, four LED sensors placed in different positions and a fuzzy controller which takes the input from sensors and gives output speed to motor. A prototype is fabricated to test the results and compared with the simulation results. The results show the improved performance by using a tracking system

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