scholarly journals A meta-study of the effect of thermodynamic parameters on the efficiency of geothermal power plants worldwide

2016 ◽  
Vol 3 ◽  
pp. 27-48 ◽  
Author(s):  
Oscar Nieves ◽  
Tomas Nancarrow ◽  
Jessica MacKinnon
Keyword(s):  
Thermodynamic Parameters ◽  
Thermal Efficiency ◽  
Geothermal Energy ◽  
Energy Demand ◽  
Power Plants ◽  
Published Data ◽  
Operation Parameters ◽  
Well Depth ◽  
Geothermal Power ◽  
Double Flash

As global energy demand rises, the search for viable alternative fuel sources continues. The practicality of geothermal energy to meet this demand is highly dependent on optimizing thermal efficiency. While geothermal energy is currently used in places like Western Australia for direct-heat applications such as leisure centres, developing a geothermal power plant in such an area depends on predicting which thermodynamic parameters optimize thermal efficiency. This meta-study focuses on the effect of geothermal operation parameters such as inlet pressure, temperature, mass flow rate, well depth and number of production wells on the thermal efficiency of geothermal power plants. Drawing data from 61 geothermal power plants around the world ranging in design capacity (MWe) and size, a meta-study on the thermal efficiency of plants operating under different thermodynamic cycles, namely single-flash, double-flash, binary Organic Rankine Cycle (ORC) and Kalina, is offered. These various thermodynamic parameters are analysed to determine the presence of observable thermal efficiency patterns or trends that may lead to the optimization of operation parameters for new geothermal plants. Based on the available published data reviewed, there are few trends which indicate how geothermal operation parameters affect thermal efficiency. Well depth may be an indicator of efficiency for geothermal power plants using ORC and double-flash cycles, however further data is required to support this conclusion.

Optimum Flashing Pressure in Single and Double Flash Geothermal Power Plants

2008 ◽  
Author(s):  
Shahin Amiri ◽  
Hossein Shokouhmand ◽  
Ahmad Kahrobaian ◽  
Shayan Amiri
Keyword(s):  
Power Plant ◽  
Thermal Efficiency ◽  
Power Plants ◽  
Analytical Investigation ◽  
Exergy Efficiency ◽  
Maximum Efficiency ◽  
Single Flash ◽  
Geothermal Power ◽  
Double Flash

In this paper an analytical investigation has been reported on determination of the optimum flashing pressures to get maximum efficiency in flash geothermal power plants. Also, two different views on efficiency have been considered; thermal efficiency and exergy efficiency. Both views anticipate very close optimum flashing pressure and in this pressure, exergy efficiency is between 3 to 5.5 times more than thermal efficiency. It is observed that the optimum flashing pressure in a single flash power plant is between the optimum flashing pressures of two separators in a double flash power plant. Also both views predict an increase of 20–29 percent for the efficiency of double flash power plants than the efficiency of single flash power plants.

scholarly journals Net power output and thermal efficiency data for single and double flash cycles of Cerro Prieto geothermal power plants

Data in Brief ◽  
2019 ◽  
Vol 27 ◽  
pp. 104698
Author(s):  
Emilio Hernández Martínez ◽  
Patricia Avitia Carlos ◽  
José Isaac Cisneros Solís ◽  
María del Carmen Prieto Avalos
Keyword(s):  
Power Output ◽  
Thermal Efficiency ◽  
Power Plants ◽  
Geothermal Power ◽  
Cerro Prieto ◽  
Net Power Output ◽  
Efficiency Data ◽  
Double Flash

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 A Project To Estimate The Power Capacity Of Geothermal Power Plants Based On The Enthalpy Of Geothermal Fluid And Plant Design

2021 ◽  
Author(s):  
Obumneme Oken
Keyword(s):  
Power Plant ◽  
Geothermal Energy ◽  
Electricity Generation ◽  
Power Plants ◽  
Hot Water ◽  
Power Capacity ◽  
Geothermal Fluid ◽  
Direct Heating ◽  
Single Flash ◽  
Geothermal Power

Nigeria has some surface phenomena that indicate the presence of viable geothermal energy. None of these locations have been explored extensively to determine the feasibility of sustainable geothermal energy development for electricity generation or direct heating. In this context, the present study aims to provide insight into the energy potential of such development based on the enthalpy estimation of geothermal reservoirs. This particular project was conducted to determine the amount of energy that can be gotten from a geothermal reservoir for electricity generation and direct heating based on the estimated enthalpy of the geothermal fluid. The process route chosen for this project is the single-flash geothermal power plant because of the temperature (180℃) and unique property of the geothermal fluid (a mixture of hot water and steam that exists as a liquid under high pressure). The Ikogosi warm spring in Ekiti State, Nigeria was chosen as the site location for this power plant. To support food security efforts in Africa, this project proposes the cascading of a hot water stream from the flash tank to serve direct heat purposes in agriculture for food preservation, before re-injection to the reservoir. The flowrate of the geothermal fluid to the flash separator was chosen as 3125 tonnes/hr. The power output from a single well using a single flash geothermal plant was evaluated to be 11.3 MW*. This result was obtained by applying basic thermodynamic principles, including material balance, energy balance, and enthalpy calculations. This particular project is a prelude to a robust model that will accurately determine the power capacity of geothermal power plants based on the enthalpy of fluid and different plant designs.

Go With the Flow: The Evolvement of Geothermal Wellhead Maintenance at the Hellisheidi Power Plant

2014 ◽  
Author(s):  
Reynir S. Atlason ◽  
Oli P. Geirsson ◽  
Ari Elisson ◽  
Runar Unnthorsson
Keyword(s):  
Power Plant ◽  
Geothermal Energy ◽  
Power Plants ◽  
Waiting Times ◽  
District Heating ◽  
Real Data ◽  
Energy Company ◽  
Power Company ◽  
Geothermal Power ◽  
Maintenance Model

Iceland relies greatly on geothermal energy, for electricity, district heating and industrial activities. It is therefore of great importance that the maintenance on site is carried out quite successfully to minimize down time. Reykjavik Energy is the largest energy company in Iceland utilizing geothermal energy. The company operates two cogenerating geothermal power plants, Hellisheidi (303 MWe and 133 MWt) and Nesjavellir (120 MWe and 300 MWt). In this study we investigate the development of the wellhead maintenance at the Hellisheidi geothermal power plant. We look at the maintenance recommendations provided to on-site employees and how maintenance procedures have developed since the power plant began its operations. We investigate real data retrospectively and use it to calculate expected waiting times between repairs. The result is a maintenance model based on the observed and statistically analyzed data provided by the power company on the maintenance procedures. Such model should prove of great significance to other geothermal power plants in the early stages of planning the wellhead maintenance.

Thermodynamic simulation and mathematical model for single and double flash cycles of Cerro Prieto geothermal power plants

Geothermics ◽  
2020 ◽  
Vol 83 ◽  
pp. 101713 ◽  
Author(s):  
Emilio Hernández Martínez ◽  
M.C. Patricia Avitia Carlos ◽  
José Isaac Cisneros Solís ◽  
M.C. María del Carmen Prieto Avalos
Keyword(s):  
Mathematical Model ◽  
Power Plants ◽  
Thermodynamic Simulation ◽  
Geothermal Power ◽  
Cerro Prieto ◽  
Double Flash

Performance Analysis and Optimization of Double-Flash Geothermal Power Plants

2006 ◽  
Vol 129 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Ahmet Dagdas
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Electricity Generation ◽  
Power Plants ◽  
Second Law ◽  
Western Turkey ◽  
Geothermal Power Plant ◽  
Base Points ◽  
Geothermal Power ◽  
Double Flash

One of the most important cycles for electricity generation from geothermal energy is the double-flash cycle. Approximately 25% of the total geothermal based electricity generation all over the world comes from double-flash geothermal power plants. In this paper, performance analysis of a hypothetical double-flash geothermal power plant is performed and variations of fundamental characteristics of the plant are examined. In the performance analysis, initially, optimum flashing pressures are determined, and energy and exergy values of the base points of the plant are calculated. In addition, first and second law efficiencies of the power plant are calculated. Main exergy destruction locations are determined and these losses are illustrated in an exergy flow diagram. For these purposes, it is assumed that a hypothetical double-flash geothermal power plant is constructed in the conditions of western Turkey. The geothermal field where the power plant will be built produces geofluid at a temperature of 210°C and a mass flow rate of 200kg∕s. According to simulation results, it is possible to produce 11,488kWe electrical power output in this field. Optimum first and second flashing pressures are determined to be 530kPa and 95kPa, respectively. Based on the exergy of the geothermal fluid at reservoir, overall first and second law efficiencies of the power plant are also calculated to be 6.88% and 28.55%, respectively.

Toward Cleaner Geothermal Energy Utilization: Capturing and Sequestering CO $$_2$$ 2 and H $$_2$$ 2 S Emissions from Geothermal Power Plants

2014 ◽  
Vol 108 (1) ◽  
pp. 61-84 ◽  
Author(s):  
Edda S. P. Aradóttir ◽  
Ingvi Gunnarsson ◽  
Bergur Sigfússon ◽  
Gunnar Gunnarsson ◽  
Bjarni M. Júliusson ◽  
...  
Keyword(s):  
Geothermal Energy ◽  
Power Plants ◽  
Energy Utilization ◽  
Geothermal Power

scholarly journals Analisis Performansi Turbin dan Generator di PLTP Lahendong Unit 1 Tomohon

2019 ◽  
Vol 17 (1) ◽  
pp. 25
Author(s):  
La Ode Musa ◽  
Abdul Rahman ◽  
Ikral Gapshel ◽  
Triska Sombokanan
Keyword(s):  
Geothermal Energy ◽  
Power Plants ◽  
Electrical Energy ◽  
Analysis Method ◽  
Steam Quality ◽  
Average Quality ◽  
Turbine Efficiency ◽  
Generator Unit ◽  
Geothermal Power

Lahendong Geothermal power plant is one of the Geothermal power plants in Indonesia which has four units and it be able to generate 4 × 20 MW of electrical energy by utilizing geothermal energy in the form of steam that supplied from wells created by Pertamina. The aim of this study is to determine the performance of the turbine and generator unit 1 which has been operated since 2001 by using thermodynamic analysis method calculating the steam quality and turbine work. Afterwards, turbine efficiency, turbine power and generator power were obtained. The average quality of geothermal steam at Lahendong in 2001 and 2015 were 0.8002 and 0.8065. Turbine’s performance decreased in 2001 (664.021 kJ / kg) until 2015 (640.799 kJ / kg), with the highest generator rotation tolerance of 0.9%.

Geo.KW - Coupling hydrothermal and infrastructure modeling at urban scale for an efficient use of shallow geothermal energy

2020 ◽  
Author(s):  
Thilo Schramm ◽  
Helmut Heller ◽  
Fabian Böttcher ◽  
Smajil Halilovic ◽  
Leonhard Odersky ◽  
...  
Keyword(s):  
Geothermal Energy ◽  
Energy Demand ◽  
Data Exchange ◽  
Power Plants ◽  
Coupled Model ◽  
Geothermal Systems ◽  
Coupling Approach ◽  
Shallow Geothermal Energy ◽  
Linear Optimisation ◽  
High Level

<p>To reduce anthropogenic climate change, the energy demand from all energy sectors has to be met by renewable energies, wherever possible.<br>Shallow geothermal energy usage, powered by green electricity, provides heating/cooling at a high level of efficiency, which is difficult to achieve with renewable energy alone.<br>We have created a coupling approach, which combines hydrothermal and infrastructure modeling at an urban scale to efficiently position shallow geothermal systems between existing power plants and conflicting groundwater usage, optimised by economical and ecological contraints.<br>We are using Pflotran, a finite volume Darcy-Richards model for our hydrothermal model.<br>The implementation of the energy infrastructure is done with urbs, a linear optimisation model for distributed energy systems.<br>We utilize preCICE, a coupling library for multi-physics simulations, for fully parallel peer-to-peer data exchange between these modeling domains.<br>Iterative optimization is meant to ensure the convergence of the fully coupled model.</p>

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