scholarly journals Hybridizing a geothermal power plant with concentrating solar power and thermal storage to increase power generation and dispatchability

2018 ◽  
Vol 228 ◽  
pp. 1837-1852 ◽  
Author(s):  
Joshua D. McTigue ◽  
Jose Castro ◽  
Greg Mungas ◽  
Nick Kramer ◽  
John King ◽  
...  
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Solar Power ◽  
Thermal Storage ◽  
Concentrating Solar Power ◽  
Geothermal Power Plant ◽  
Geothermal Power

Analysis of the Thermodynamic Performance of Kalina Cycle System 11 (KCS11) for Geothermal Power Plant: Comparison With Kawerau ORMAT Binary Plant

2009 ◽  
Author(s):  
Xinli Lu ◽  
Arnold Watson ◽  
Joe Deans
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Heat Source ◽  
Gas Turbines ◽  
Effective Means ◽  
Specific Power ◽  
Kalina Cycle ◽  
Geothermal Power Plant ◽  
Thermodynamic Performance ◽  
Geothermal Power

Since the first geothermal power plant was built at Larderello (Italy) in 1904, many attempts have been made to improve conversion efficiency. Among innovative technologies, using the Kalina cycle is considered as one of the most effective means of enhancing the thermodynamic performance for both high and low temperature heat source systems. Although initially used as the bottoming cycle of gas turbines and diesel engines, in the late 1980s the Kalina cycle was found to be attractive for geothermal power generation [1, 2, 3]. Different versions (KSC11, KSC12 and KSC13) were designated. Comparison between Kalina cycle and other power cycles can be found in later studies [4, 5, 6]. Here we examine KSC11, because it is specifically designed for geothermal power generation, with lower capital cost [3]. We compare this design with the existing Kawerau ORMAT binary plant in New Zealand. In addition, parametric sensitivity analysis of KCS11 has been carried out for the specific power output and net thermal efficiency by changing the temperatures of both heat source and heat sink for a given ammonia-water composition.

Kamojang Geothermal Power Plant Unit-1 : 30 Years of Operation

2014 ◽  
Vol 493 ◽  
pp. 56-61
Author(s):  
Reza Adiprana ◽  
Danu Sito Purnomo ◽  
Iwan Setiono
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
High Performance ◽  
Cooling Tower ◽  
Geothermal Field ◽  
Point Of View ◽  
Operating Conditions ◽  
Life Assessment ◽  
Geothermal Power Plant ◽  
Geothermal Power

UNIT-1 KAMOJANG geothermal power plant marked the new era of renewable energy in Indonesia. With its built capacity of 30 MWe, it constantly supply electricity to Java-Bali grid for more than 30 years now.Over those period, Unit-1 has given its best performance with highest achievement on Capacity Factor (CF) and Equivalent Availability Factor (EAF).High performance geothermal power plant involves the integration not only from the point of view of power generation, but also the optimation of geothermal potention in the area. Kamojang geothermal field, which is considered as one among five steam dominated reservoir in the world produces 200 MWe of the electricity nowadays. In order to maintain this production rate, some technical consideration must be made.Towards sustainable power generation of geothermal power, some assessment has been made to turbine, generator and cooling tower to ensure its current condition. Basically what it called remaining life assessment gives a rough picture of how long the equipment will run through in its operational condition.Based on those assessment, additional 20.900 hours is given to the turbine with the existing operating conditions. On the other hand, cooling tower infrastucture test and simulation delivers operation period for another 25 years.

scholarly journals The Impact of Soil Hydrothermal Properties on Geothermal Power Generation (GPG): Modeling and Analysis

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 448
Author(s):  
Zhengguang Liu ◽  
Gaoyang Hou ◽  
Ying Song ◽  
Hessam Taherian ◽  
Shuaiwei Qi
Keyword(s):  
Heat Transfer ◽  
Power Generation ◽  
Porous Media ◽  
Power Plant ◽  
Geothermal Energy ◽  
Collection Efficiency ◽  
Porous Media Flow ◽  
Geothermal Power Plant ◽  
Geothermal Power ◽  
The Impact

Geothermal power plants have become the main application that utilizes geothermal energy. The utilization of deep geothermal energy adheres great importance to the soil condition. One of the biggest challenges faced by geothermal power plant designers is to reduce the risk of soil exploration. To solve this problem, forecasting by modeling has proven to be an important tool to address the problem. In this research, a geo-model was established by modeling three geological layers with different hydraulic and thermal properties to solve the above dilemma. The layers, elevation, and fault zones were simulated using interpolation functions from an artificial dataset. The coupled porous media flow and heat transfer problem using Darcy’s law, as well as heat transfer in porous media interfaces, were studied. The evolution of the flow field, hydrothermal performance, and temperature gradient were also analyzed for a period of 10 years. The results showed the recoverable thermal energy area gradually moved downwards during the 10-year simulation time. When the distance between the recharge well and the production well exceeded 200 m, the collection efficiency was significantly decreased. After 5 years of extraction, the power generation efficiency of the heat source will be less than 9.75%. These results effectively avoided the exploration cost of geothermal power plant site selection, which is significant for the efficiency improvement of geothermal energy.

scholarly journals Novel Thermal Storage Technologies for Concentrating Solar Power Generation

2013 ◽  
Author(s):  
Sudhakar Neti ◽  
Alparslan Oztekin ◽  
John Chen ◽  
Kemal Tuzla ◽  
Wojciech Misiolek
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Thermal Storage ◽  
Concentrating Solar Power ◽  
Solar Power Generation ◽  
Storage Technologies

scholarly journals LCA and Exergo-Environmental Evaluation of a Combined Heat and Power Double-Flash Geothermal Power Plant

2021 ◽  
Vol 13 (4) ◽  
pp. 1935
Author(s):  
Vitantonio Colucci ◽  
Giampaolo Manfrida ◽  
Barbara Mendecka ◽  
Lorenzo Talluri ◽  
Claudio Zuffi
Keyword(s):  
Life Cycle ◽  
Power Plant ◽  
Environmental Analysis ◽  
Combined Heat And Power ◽  
Hot Water ◽  
Environmental Cost ◽  
Published Data ◽  
Geothermal Power Plant ◽  
Geothermal Power ◽  
Double Flash

This study deals with the life cycle assessment (LCA) and an exergo-environmental analysis (EEvA) of the geothermal Power Plant of Hellisheiði (Iceland), a combined heat and power double flash plant, with an installed power of 303.3 MW for electricity and 133 MW for hot water. LCA approach is used to evaluate and analyse the environmental performance at the power plant global level. A more in-depth study is developed, at the power plant components level, through EEvA. The analysis employs existing published data with a realignment of the inventory to the latest data resource and compares the life cycle impacts of three methods (ILCD 2011 Midpoint, ReCiPe 2016 Midpoint-Endpoint, and CML-IA Baseline) for two different scenarios. In scenario 1, any emission abatement system is considered. In scenario 2, re-injection of CO2 and H2S is accounted for. The analysis identifies some major hot spots for the environmental power plant impacts, like acidification, particulate matter formation, ecosystem, and human toxicity, mainly caused by some specific sources. Finally, an exergo-environmental analysis allows indicating the wells as significant contributors of the environmental impact rate associated with the construction, Operation & Maintenance, and end of life stages and the HP condenser as the component with the highest environmental cost rate.

scholarly journals Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems

2021 ◽  
Vol 13 (12) ◽  
pp. 6681
Author(s):  
Simian Pang ◽  
Zixuan Zheng ◽  
Fan Luo ◽  
Xianyong Xiao ◽  
Lanlan Xu
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Solar Power ◽  
Prediction Method ◽  
Random Fluctuation ◽  
Concentrating Solar Power ◽  
Short Term ◽  
Hybrid Forecasting ◽  
Energy Cluster

Forecasting of large-scale renewable energy clusters composed of wind power generation, photovoltaic and concentrating solar power (CSP) generation encounters complex uncertainties due to spatial scale dispersion and time scale random fluctuation. In response to this, a short-term forecasting method is proposed to improve the hybrid forecasting accuracy of multiple generation types in the same region. It is formed through training the long short-term memory (LSTM) network using spatial panel data. Historical power data and meteorological data for CSP plant, wind farm and photovoltaic (PV) plant are included in the dataset. Based on the data set, the correlation between these three types of power generation is proved by Pearson coefficient, and the feasibility of improving the forecasting ability through the hybrid renewable energy clusters is analyzed. Moreover, cases study indicates that the uncertainty of renewable energy cluster power tends to weaken due to partial controllability of CSP generation. Compared with the traditional prediction method, the hybrid prediction method has better prediction accuracy in the real case of renewable energy cluster in Northwest China.

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