This is a presentation given at the first high-level ministerial conference of the Global Geothermal Alliance of IRENA in Florence, Italy, September 11, 2017
Global Geothermal Development - An Overview, September 2017ThinkGeoEnergy
This document provides an overview of global geothermal development and capacity as of September 2017. It summarizes installed geothermal capacity by country, with the United States having the highest capacity at 3,567 MW. Charts show the top 10 countries by installed capacity and projects under development, with Indonesia leading in the latter. Regional markets are also examined, with Asia having the most installed capacity and projects at 5,836 MW. Information on geothermal development in Turkey over time is presented, and global geothermal potential is estimated at over 140,000 MW eventually with technological advances.
Presentation at IIGCE 2017 in Jakarta, IndonesiaThinkGeoEnergy
Presentation given on the status of global geothermal development at the Indonesia International Geothermal Convention & Exhibition 2017 in Jakarta, Indonesia
Geothermal Energy - Global Development StatusThinkGeoEnergy
The document discusses the current status and potential of geothermal energy development globally. It provides statistics on the top geothermal countries by installed capacity as of November 2016, led by the United States, Philippines, and Indonesia. Analysis from the IFC estimates a total global investment potential in geothermal energy of $27 billion, with the largest opportunities in East Asia Pacific and Latin America. While current global installed geothermal capacity is around 13 GW, technical resource estimates indicate a potential of over 140 GW eventually achievable.
Global Geothermal Development, CanGEA Conference, March 2013ThinkGeoEnergy
The document summarizes the current status of global geothermal development. It shows that Asia has the largest installed geothermal capacity at 4,568 MW, followed by North America at 4,344 MW. The development pipeline is largest in the United States, Indonesia, and the Philippines. Financing remains a challenge, with development banks playing a key role. The document also outlines opportunities for Canadian companies to participate in geothermal supply chain areas like drilling, engineering, manufacturing, and services.
Keynote presentation at GEORG Geothermal Workshop, Nov. 24, 2016ThinkGeoEnergy
This is a keynote presentation, I gave at the GEORG Geothermal Workshop in Reykjavik/ Iceland on November 24, 2016. It was held as part of my role as President of the International Geothermal Association with data from my activities at ThinkGeoEnergy.
Global Geothermal Development as of July 2016ThinkGeoEnergy
The document summarizes geothermal energy development globally and in various countries. It shows that the United States has the largest installed geothermal capacity at 3,567 MW as of July 2016, followed by Indonesia, the Philippines, Mexico, and Italy. Turkey has seen significant growth in geothermal capacity since 1984. The global geothermal energy potential is estimated to be over 200,000 MW, though only around 13,000 MW of capacity is currently installed worldwide. ThinkGeoEnergy conducts extensive research on global geothermal projects and resources.
Global Geothermal Development - An Overview, September 2017ThinkGeoEnergy
This document provides an overview of global geothermal development and capacity as of September 2017. It summarizes installed geothermal capacity by country, with the United States having the highest capacity at 3,567 MW. Charts show the top 10 countries by installed capacity and projects under development, with Indonesia leading in the latter. Regional markets are also examined, with Asia having the most installed capacity and projects at 5,836 MW. Information on geothermal development in Turkey over time is presented, and global geothermal potential is estimated at over 140,000 MW eventually with technological advances.
Presentation at IIGCE 2017 in Jakarta, IndonesiaThinkGeoEnergy
Presentation given on the status of global geothermal development at the Indonesia International Geothermal Convention & Exhibition 2017 in Jakarta, Indonesia
Geothermal Energy - Global Development StatusThinkGeoEnergy
The document discusses the current status and potential of geothermal energy development globally. It provides statistics on the top geothermal countries by installed capacity as of November 2016, led by the United States, Philippines, and Indonesia. Analysis from the IFC estimates a total global investment potential in geothermal energy of $27 billion, with the largest opportunities in East Asia Pacific and Latin America. While current global installed geothermal capacity is around 13 GW, technical resource estimates indicate a potential of over 140 GW eventually achievable.
Global Geothermal Development, CanGEA Conference, March 2013ThinkGeoEnergy
The document summarizes the current status of global geothermal development. It shows that Asia has the largest installed geothermal capacity at 4,568 MW, followed by North America at 4,344 MW. The development pipeline is largest in the United States, Indonesia, and the Philippines. Financing remains a challenge, with development banks playing a key role. The document also outlines opportunities for Canadian companies to participate in geothermal supply chain areas like drilling, engineering, manufacturing, and services.
Keynote presentation at GEORG Geothermal Workshop, Nov. 24, 2016ThinkGeoEnergy
This is a keynote presentation, I gave at the GEORG Geothermal Workshop in Reykjavik/ Iceland on November 24, 2016. It was held as part of my role as President of the International Geothermal Association with data from my activities at ThinkGeoEnergy.
Global Geothermal Development as of July 2016ThinkGeoEnergy
The document summarizes geothermal energy development globally and in various countries. It shows that the United States has the largest installed geothermal capacity at 3,567 MW as of July 2016, followed by Indonesia, the Philippines, Mexico, and Italy. Turkey has seen significant growth in geothermal capacity since 1984. The global geothermal energy potential is estimated to be over 200,000 MW, though only around 13,000 MW of capacity is currently installed worldwide. ThinkGeoEnergy conducts extensive research on global geothermal projects and resources.
This document summarizes the status and future of concentrating solar power (CSP). It discusses how CSP plants work by using mirrors to concentrate sunlight and produce heat that can be used to drive traditional steam turbines or engines to generate electricity. It also notes that CSP deployment has rapidly increased in recent years, with costs falling. However, the document states that the value of CSP increases when it can provide reserves to support renewable energy on the electric grid. It concludes by discussing CSIRO's research into improving the performance and lowering the costs of CSP technologies.
Energy in an Interconnected World - Arash AazamiSUCanadaSummit
Global energy consumption grew 47.7% from 1997 to 2017 according to data from Enerdata. Fossil fuel consumption has increased substantially from 8000 BC to 12000 AD. A smart, multi-commodity grid could help interconnect energy resources in a more efficient and sustainable way through initiatives like the Internet of Energy.
WWF Japan's Energy Vision: Energy Scenario Proposal for Decarbonizing JapanNaoyuki Yamagishi
1. WWF Japan proposes an energy scenario to decarbonize Japan's economy by 2050 through massive energy savings, phasing out nuclear power, and increasing renewable energy supply.
2. Their analysis shows that energy demand can be halved by 2050 through energy efficiency measures. Renewable energy sources like solar, wind and biomass are sufficient to meet Japan's energy needs and the costs will decrease over time as the transition is made.
3. While the power grid will require investments to accommodate more renewable energy, studies show it can adapt if changes are made early. WWF Japan calls for ambitious targets and a shift to more renewable-centric thinking to achieve a 100% renewable energy system.
A new mobile application launched by the Gujarat Energy Research and Management Institute provides solar energy generation data for any location. The app uses 10 years of satellite data from NASA to calculate solar power potential for an acre of land. It allows users to input latitude and longitude coordinates to obtain digital values for solar generation in that area within moments. Researchers at GERMI have also prepared solar maps for India with regional details, which solar developers can use to optimize plant planning. The app creators plan to expand it to support rooftop solar calculations and connect to GPS coordinates.
This document discusses advances in long-term energy prediction through non-normally distributed probability of exceedance (POE) methods. It begins by introducing solar research at Clean Power Research and questioning whether annual solar insolation is normally distributed. It then compares POE results using normal versus synthetic years constructed from 4-month segments, finding potential improvements in accuracy from using synthetic years. The document proposes next steps of further testing this method at multiple stations to build a larger dataset and directly test for normality.
Non-equilibrium Photoionization and Hydrodynamic Simulations of Starburst-dri...Ashkbiz Danehkar
Talk presented at 4th Workshop on Numerical Modeling in MHD and Plasma Physics (MHD-PP; Virtual), 13 October 2021, https://doi.org/10.6084/m9.figshare.16820926
Presented by Arjan Droste and Peter Kalverla at the energy meteorology symposium "From model field to power yield". More info: peter9192.github.io/energy-meteo
This document discusses planning for renewable energy in rural areas of England. It notes that approval rates for renewable energy projects vary greatly between areas, suggesting a lack of strategic planning. It calls for renewable energy to be better integrated into local plans and for incentives to encourage more solar power installations on roofs to reduce landscape impacts. The document also advocates for communities to have a say in renewable developments and for encouraging low impact projects.
We are dependent on oil as an energy source, but there is debate around how much oil remains. Projections show global oil production peaking between now and 2050, then declining. However, others argue peak oil theory is flawed and oil reserves could last longer if production increases as new extraction methods are developed. Accurately forecasting future oil supply is challenging and has important implications for energy and policy decisions.
The document discusses how quality ground measurements can reduce project uncertainty and increase value for solar projects. It finds that a ground measurement campaign that collects global horizontal irradiance, soiling data, and diffuse horizontal irradiance can reduce project uncertainty from 10.2% to 6.6% and increase the net cash flow per watt by $0.022, providing an return on investment of 8.8 times for a 25 MW project. High quality ground data is important for accurately characterizing solar resource, interannual variability, soiling rates, and transposition to plane of array irradiance.
Quantitative Precipitation Estimation at The Climate CorporationValliappa Lakshmanan
Seminar at the U. Washington. The Climate Corporation (“TCC”) makes decision-making tools for farmers. 24-hour quantitative precipitation estimates (QPEs) drive a number of farming decisions, and the accuracy of the 24h QPEs in turn affect the accuracy of TCC's agronomic models. Therefore, the creation of accurate QPEs is an area of active research focus at TCC. In this talk, I talk about the multi-sensor QPE pipeline, how we estimate and show uncertainty and how we evaluate the performance of QPE algorithms on farming use cases. In addition, TCC is conducting field experiments at several locations throughout the Midwest. I will present findings related to the intra-field variability of precipitation.
This document discusses an energy study conducted by Daohong Wu et al. and published in Energy Procedia in 2017. The study examined energy usage at a facility over multiple pages using data from 2017. It references peer-review responsibilities and open access publication terms.
This document discusses a project analyzing the actual solar resource for tracking surfaces. It includes sections on solar radiation components, monthly and annual resource and losses for a surface tracking the east-west axis in Maugla, Turkey. It also calculates the energy payback time of a domestic solar plant in Fairbanks, Alaska, analyzing installation costs, power output, energy benefits over 25 years, and net present value. The conclusions state that economic benefit depends on solar resource and this model could be applied to other locations at different altitudes.
Google began as a research project at Stanford University and has since grown into a large technology company. Google is working on making their data servers more energy efficient and using renewable energy sources like solar panels to power their facilities. The document discusses topics related to renewable energy and environmental protection around Earth Day.
Big data, Cloud, and the NOAA CRADA at The Climate CorporationValliappa Lakshmanan
These were my opening remarks at the panel on Big Data and the NOAA CRADA held at the American Meteorological Society Annual Meeting in New Orleans in January 2016.
How can we brand geothermal energy in the context of a changing energy market driven by consumers demanding green energy, low prices and a strong service proposition by companies? A presentation given at CHARGE - the Energy Branding Conference in Reykjavik/ Iceland - October 10, 2017.
This document summarizes the status and future of concentrating solar power (CSP). It discusses how CSP plants work by using mirrors to concentrate sunlight and produce heat that can be used to drive traditional steam turbines or engines to generate electricity. It also notes that CSP deployment has rapidly increased in recent years, with costs falling. However, the document states that the value of CSP increases when it can provide reserves to support renewable energy on the electric grid. It concludes by discussing CSIRO's research into improving the performance and lowering the costs of CSP technologies.
Energy in an Interconnected World - Arash AazamiSUCanadaSummit
Global energy consumption grew 47.7% from 1997 to 2017 according to data from Enerdata. Fossil fuel consumption has increased substantially from 8000 BC to 12000 AD. A smart, multi-commodity grid could help interconnect energy resources in a more efficient and sustainable way through initiatives like the Internet of Energy.
WWF Japan's Energy Vision: Energy Scenario Proposal for Decarbonizing JapanNaoyuki Yamagishi
1. WWF Japan proposes an energy scenario to decarbonize Japan's economy by 2050 through massive energy savings, phasing out nuclear power, and increasing renewable energy supply.
2. Their analysis shows that energy demand can be halved by 2050 through energy efficiency measures. Renewable energy sources like solar, wind and biomass are sufficient to meet Japan's energy needs and the costs will decrease over time as the transition is made.
3. While the power grid will require investments to accommodate more renewable energy, studies show it can adapt if changes are made early. WWF Japan calls for ambitious targets and a shift to more renewable-centric thinking to achieve a 100% renewable energy system.
A new mobile application launched by the Gujarat Energy Research and Management Institute provides solar energy generation data for any location. The app uses 10 years of satellite data from NASA to calculate solar power potential for an acre of land. It allows users to input latitude and longitude coordinates to obtain digital values for solar generation in that area within moments. Researchers at GERMI have also prepared solar maps for India with regional details, which solar developers can use to optimize plant planning. The app creators plan to expand it to support rooftop solar calculations and connect to GPS coordinates.
This document discusses advances in long-term energy prediction through non-normally distributed probability of exceedance (POE) methods. It begins by introducing solar research at Clean Power Research and questioning whether annual solar insolation is normally distributed. It then compares POE results using normal versus synthetic years constructed from 4-month segments, finding potential improvements in accuracy from using synthetic years. The document proposes next steps of further testing this method at multiple stations to build a larger dataset and directly test for normality.
Non-equilibrium Photoionization and Hydrodynamic Simulations of Starburst-dri...Ashkbiz Danehkar
Talk presented at 4th Workshop on Numerical Modeling in MHD and Plasma Physics (MHD-PP; Virtual), 13 October 2021, https://doi.org/10.6084/m9.figshare.16820926
Presented by Arjan Droste and Peter Kalverla at the energy meteorology symposium "From model field to power yield". More info: peter9192.github.io/energy-meteo
This document discusses planning for renewable energy in rural areas of England. It notes that approval rates for renewable energy projects vary greatly between areas, suggesting a lack of strategic planning. It calls for renewable energy to be better integrated into local plans and for incentives to encourage more solar power installations on roofs to reduce landscape impacts. The document also advocates for communities to have a say in renewable developments and for encouraging low impact projects.
We are dependent on oil as an energy source, but there is debate around how much oil remains. Projections show global oil production peaking between now and 2050, then declining. However, others argue peak oil theory is flawed and oil reserves could last longer if production increases as new extraction methods are developed. Accurately forecasting future oil supply is challenging and has important implications for energy and policy decisions.
The document discusses how quality ground measurements can reduce project uncertainty and increase value for solar projects. It finds that a ground measurement campaign that collects global horizontal irradiance, soiling data, and diffuse horizontal irradiance can reduce project uncertainty from 10.2% to 6.6% and increase the net cash flow per watt by $0.022, providing an return on investment of 8.8 times for a 25 MW project. High quality ground data is important for accurately characterizing solar resource, interannual variability, soiling rates, and transposition to plane of array irradiance.
Quantitative Precipitation Estimation at The Climate CorporationValliappa Lakshmanan
Seminar at the U. Washington. The Climate Corporation (“TCC”) makes decision-making tools for farmers. 24-hour quantitative precipitation estimates (QPEs) drive a number of farming decisions, and the accuracy of the 24h QPEs in turn affect the accuracy of TCC's agronomic models. Therefore, the creation of accurate QPEs is an area of active research focus at TCC. In this talk, I talk about the multi-sensor QPE pipeline, how we estimate and show uncertainty and how we evaluate the performance of QPE algorithms on farming use cases. In addition, TCC is conducting field experiments at several locations throughout the Midwest. I will present findings related to the intra-field variability of precipitation.
This document discusses an energy study conducted by Daohong Wu et al. and published in Energy Procedia in 2017. The study examined energy usage at a facility over multiple pages using data from 2017. It references peer-review responsibilities and open access publication terms.
This document discusses a project analyzing the actual solar resource for tracking surfaces. It includes sections on solar radiation components, monthly and annual resource and losses for a surface tracking the east-west axis in Maugla, Turkey. It also calculates the energy payback time of a domestic solar plant in Fairbanks, Alaska, analyzing installation costs, power output, energy benefits over 25 years, and net present value. The conclusions state that economic benefit depends on solar resource and this model could be applied to other locations at different altitudes.
Google began as a research project at Stanford University and has since grown into a large technology company. Google is working on making their data servers more energy efficient and using renewable energy sources like solar panels to power their facilities. The document discusses topics related to renewable energy and environmental protection around Earth Day.
Big data, Cloud, and the NOAA CRADA at The Climate CorporationValliappa Lakshmanan
These were my opening remarks at the panel on Big Data and the NOAA CRADA held at the American Meteorological Society Annual Meeting in New Orleans in January 2016.
How can we brand geothermal energy in the context of a changing energy market driven by consumers demanding green energy, low prices and a strong service proposition by companies? A presentation given at CHARGE - the Energy Branding Conference in Reykjavik/ Iceland - October 10, 2017.
The document is a 2017 media kit for ThinkGeoEnergy, which provides an overview of advertising and marketing services for the geothermal energy industry. It outlines banner advertisements on their website and newsletters, as well as marketing and communication consulting services. It also details upcoming geothermal energy events in 2017 that provide opportunities for engagement and promotion.
Iceland's Geothermal Energy Regulatory FrameworkThinkGeoEnergy
Presentation on the regulatory framework for geothermal energy development and utilisation in Iceland at the conference of JESDER, the Turkish Geothermal Operators Association in Ankara, 8 February 2017
Geothermal heat utilisation - long-time experience in IcelandThinkGeoEnergy
A presentation given at the 11th International Geothermal Conference in Offenburg, Germany on March 4, 2015. It highlights the different uses of geothermal heat in Iceland and the impact it had for the economy and well being of its inhabitants.
Impact of regulatory/ incentive schemes fostering tgeothermal developmentThinkGeoEnergy
This document discusses the impact of different regulatory and incentive schemes on geothermal development. It outlines key elements needed for successful geothermal development, including resource data, supportive policies and regulations, effective institutions, and access to financing. Several countries are highlighted and the main drivers and challenges of their geothermal markets are described. Financing options at different project stages are also reviewed, with development banks providing nearly half of financing for power plants in recent years. Current market drivers are said to include growing energy demand, availability of financing, and supportive legal frameworks.
This document discusses the history and current state of geothermal heating in Iceland and its potential in Europe. Iceland has made extensive use of geothermal heating for over a century, providing heat to over 200,000 inhabitants in Reykjavik. The Icelandic government has played a key role in research and funding geothermal exploration. Geothermal heating now accounts for 45% of Iceland's space heating and also powers greenhouses, fish farms, swimming pools and electricity generation. While Iceland relies mainly on low-temperature geothermal resources near Reykjavik, similar resources exist across Europe but are underutilized compared to potential. Geothermal district heating could provide energy security and cost savings if developed in major cities
Iceland Launch of Think GEOENERGY Magazine, October 2013ThinkGeoEnergy
The presentation was held at a launch event for the Think GEOENERGY Magazine in Reykjavik, Iceland in October 2013. In attendance were all the major geothermal players in Iceland, as well as government representatives and financial players.
The presentation also included an overview on global geothermal development and some notes on marketing of the Iceland geothermal sector in the global context.
Geothermal Presentation, March 14, 2013, Madrid/ SpainThinkGeoEnergy
This document provides information about geothermal energy as a sustainable source of electricity production. It discusses Green Energy Group, a company that develops modular geothermal wellhead power plants. It details Green Energy Group's first major contract in Kenya and the development of their 6.4 MW pilot plant. The document also outlines geothermal energy technologies, utilization applications, resources at different depths, and the development process for geothermal power plants.
Presentation given at the 2nd Global Geothermal Energy Summit in Reykjavik, Iceland on September 19, 2012.
The presentation covers a view and outlook on global geothermal energy development.
Presentation given at the Renewable Energy Finance Forum (REFF) Germany 2012 in Berlin, Germany on February 29, 2012
It was given in a panel on Solar, Biomass and Geothermal at this all-renewable finance conference. It was my third time presenting at this forum (2x in London and in Berlin)
Australian Geothermal Energy Conference, Nov. 17, 2011ThinkGeoEnergy
Financing Geothermal - The current status on financing in the North American context.
Event: Australian Geothermal Energy Conference 2011, Melbourne, Australia, Nov. 17, 2011
This document discusses geothermal development in Canada. It provides an overview of Canada's current electricity supply sources and natural resources sector. It introduces the Canadian Geothermal Energy Association (CanGEA) as the collective voice of Canada's geothermal energy industry that promotes geothermal energy potential through outreach events. The document outlines some of CanGEA's member companies and current geothermal projects in Canada at different stages of development. It also notes some of the international geothermal activities of Canadian companies. Finally, it discusses challenges around the public perception of geothermal energy and the need for improved representation, marketing, and visibility to help position geothermal energy.
Presentation given by Alexander Richter, Director at CanGEA and Founder & Principal at ThinkGeoEnergy
Event: Global Geothermal Summit, Reykjavik/ Iceland - October 12, 2011
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Presentation to Ministerial Meeting of Global Geothermal Alliance, Florence, Sept. 11, 2017
1. GLOBAL GEOTHERMAL
DEVELOPMENT – AN OVERVIEW
Global Geothermal Alliance Meeting
IRENA, Florence/ Italy
SEPTEMBER 2017 With data from
2. TOP 10 GEOTHERMAL COUNTRIES
INSTALLED CAPACITY - MW (SEPTEMBER 2017)
1
1
2
8
16
27
29
40
42
48
56
97
109
204
205
542
665
676
926
944
980
1005
1,560
1,868
3,567
0 500 1000 1500 2000 2500 3000 3500
Australia
Austria
France
Ethiopia
Guadeloupe
China
Portugal
Germany
Guatemala
Chile
Papua New Guinea
Russia
Nicaragua
Costa Rica
El Salvador
Japan
Iceland
Kenya
Mexico
Italy
New Zealand
Turkey
Indonesia
Philippines
United States
Source: TGE Research (2017), GEA (2016), IGA (2015), Enerji Atlasi (2017)
1 GW Country Club
3. Source: ThinkGeoEnergy Research (2017), GEA (2016), IGA (2015)
TOP 10 GEOTHERMAL COUNTRIES
INSTALLED CAPACITY & PROJECTS - MW (SEPTEMBER 2017)
1,463
8
944
665
980
926
676
1,005
1,868
3,567
1,699
2,807
987
145
585
285
481
1,037
853
1,651
1,272
3,958
0 1,000 2,000 3,000 4,000 5,000 6,000
Other
Ethiopia
Italy
Iceland
New Zealand
Mexico
Kenya
Turkey
Philippines
United States**
Indonesia
Installed
Projects & permitted
1 GW Country Club
Future members
5. GLOBAL GEOTHERMAL POTENTIAL
POWER GENERATION POTENTIAL (MWe)
Sources: ThinkGeoEnergy, Geothermal Energy Association, IGA, Chevron
Note: Installed Capacity of 2017 [2015], resource estimates combined (1999-2012) – IGA estimates a conservative total potential of 70,000
MW and with technology improvements (extended use of low heat and EGS resources) at around 140,000 MW in power generation
capacity.
Current installed capacity
Projects & inferred resources
High temperature regions
Hydrothermal resource estimates
Installed Resources
North America
4,447
32,200
6,447
Installed Resources
Cent. America &
Caribbean
522
27,400
618
Installed Resources
Europe
1,642
3,400
1,271
Installed Resources
Africa
684
11,600
2,249
Installed Resources
South America
48
30,800
730
Installed Resources
Asia
3,997
70,900
5,836
Installed Resources
Aus., NZ & Pacific
1,037
7,700
666
Installed Resources
Middle East
1,005
2,550
853