Optimal Sizing of Hybrid Renewable Energy Systems with Homer

  • Course provided by Udemy
  • Study type: Online
  • Starts: Anytime
  • Price: See latest price on Udemy
Udemy

Course Description

Due to environmental challenges and the depletion of fossil fuels, renewable energies are getting so much attention. However, due to the intermittent characteristic of renewable energies, using them as standalone mode could not be reliable. Therefore we need to integrate renewable technologies together to solve this issue. the integrated system needs to be optimally sized to reduce the cost and economically feasible.

To achieve this aim and size and manage our integrated energy system model, we want to develop our model in Homer software. Homer software will then perform optimization on our model to minimize the net present cost of the system.

In this course, I tried to explain all you need for designing your system and technically and economically assessment of it using Homer software for the first time on the Udemy website.

What you will learn in this course:

  • The basic technical and economic concepts of integration of renewable energy systems

  • Homer Software interface

  • How to calculate required parameters

  • Import data to and export the results from Homer

  • Several real projects (Hands-on Homer)

  • Final evaluation of the results

This course is not theory and will give you this opportunity to learn to design energy systems as fast as possible by hands-on projects.

I am so excited to start this course with you and ready to answer all your questions in the comments.

See you!

N-Sh

Who this course is for:

  • Beginner Students in Optimization and Sizing of Renewable Energy Systems
  • Researchers that want to create a pilot renewable energy system
  • Experts and companies that are active in the renewable energy area
  • owners of the renewable equipment and interested self-generators

Course content

9 sections • 16 lectures • 2h 28m total length

Instructor

Data Analyst - Optimization Expert
  • 4.5 Instructor Rating
  • 758 Reviews
  • 62,199 Students
  • 2 Courses

My name is Navid Shirzaid and I am super excited that you are here to read this section!

I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies.

I am also proficient in coding with Python and developing machine learning and deep learning models for different applications.

I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence.

To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you!

Expected Outcomes

  1. Designing an integrated renewable energy System For remote Microgrid (Off-Grid) Designing an integrated renewable energy System For Urban Microgrid (Grid-Connected) Techno-economic assessment of energy systems using Homer software Results evaluation and understaning the economic parameters improving the levelized cost of energy Requirements No requirement Description Due to environmental challenges and the depletion of fossil fuels, renewable energies are getting so much attention. However, due to the intermittent characteristic of renewable energies, using them as standalone mode could not be reliable. Therefore we need to integrate renewable technologies together to solve this issue. the integrated system needs to be optimally sized to reduce the cost and economically feasible. To achieve this aim and size and manage our integrated energy system model, we want to develop our model in Homer software. Homer software will then perform optimization on our model to minimize the net present cost of the system. In this course, I tried to explain all you need for designing your system and technically and economically assessment of it using Homer software for the first time on the Udemy website. What you will learn in this course: The basic technical and economic concepts of integration of renewable energy systems Homer Software interface How to calculate required parameters Import data to and export the results from Homer Several real projects (Hands-on Homer) Final evaluation of the results This course is not theory and will give you this opportunity to learn to design energy systems as fast as possible by hands-on projects. I am so excited to start this course with you and ready to answer all your questions in the comments. See you! N-Sh Who this course is for: Beginner Students in Optimization and Sizing of Renewable Energy Systems Researchers that want to create a pilot renewable energy system Experts and companies that are active in the renewable energy area owners of the renewable equipment and interested self-generators Show more Show less Course content 9 sections • 16 lectures • 2h 28m total length Expand all sections Introduction 1 lecture • 2min Introduction of the course Preview 02:14 Downloading and Installation of the Homer Software 1 lecture • 2min Downloading and Installation of the Homer Software Preview 02:24 Explaining the Interface of Homer Software 1 lecture • 7min Explaining the Interface of Homer Software Preview 07:11 Introduction to integration of renewable energy systems 1 lecture • 10min Why integration 09:51 Creating Standalone Microgrid Model 6 lectures • 55min Defining a location and resources 09:08 Defining electrical load 09:36 Defining technologies, Adding PV Modules 13:55 Defining technologies, Adding Converter 05:30 Defining technologies, Adding Wind Turbine 10:09 Defining technologies, Adding Battery 06:55 Analyzing the Results 2 lectures • 19min Evaluation of the results 12:42 Extract CSV file from Homer 05:57 Improving the Results of the Model 2 lectures • 28min Economic Inputs 09:16 Defining technologies to reduce cost of energy 18:31 Designing an Urban Microgrid 1 lecture • 18min Grid-connected systems 17:41 Sensitivity Analysis 1 lecture • 8min Sensitivity analysis and compare economic 07:54 Instructor Navid Shirzadi Data Analyst - Optimization Expert 4.5 Instructor Rating 758 Reviews 62,199 Students 2 Courses My name is Navid Shirzaid and I am super excited that you are here to read this section! I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies. I am also proficient in coding with Python and developing machine learning and deep learning models for different applications. I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence. To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677e9d0299c9e680',m:'bcaa57964762b9361ca2c4f50702fc80a867b06c-1627816158-1800-AbcpdHAC9lYiw7TjXusCORrXsn7qwnW1Le7L0bbSwbMX5+y2zuR6wXwJOeAi9jcPuzY6YofimokhflQHM82gyS4oUlQkDMzTNMI3AZMvKhL32PNAEc55GfG2UX/ASIpC/9LuZukq5I3agrupGRusNozWA3BMkZgX4XD17TZa7Fsww3mpLdYLsmeqbszL8SoM0Vo2X3FG4wsrK8I8wl+880E=',s:[0x7ddce900c2,0x05c4e5389b],}})();
  2. Designing an integrated renewable energy System For Urban Microgrid (Grid-Connected) Techno-economic assessment of energy systems using Homer software Results evaluation and understaning the economic parameters improving the levelized cost of energy Requirements No requirement Description Due to environmental challenges and the depletion of fossil fuels, renewable energies are getting so much attention. However, due to the intermittent characteristic of renewable energies, using them as standalone mode could not be reliable. Therefore we need to integrate renewable technologies together to solve this issue. the integrated system needs to be optimally sized to reduce the cost and economically feasible. To achieve this aim and size and manage our integrated energy system model, we want to develop our model in Homer software. Homer software will then perform optimization on our model to minimize the net present cost of the system. In this course, I tried to explain all you need for designing your system and technically and economically assessment of it using Homer software for the first time on the Udemy website. What you will learn in this course: The basic technical and economic concepts of integration of renewable energy systems Homer Software interface How to calculate required parameters Import data to and export the results from Homer Several real projects (Hands-on Homer) Final evaluation of the results This course is not theory and will give you this opportunity to learn to design energy systems as fast as possible by hands-on projects. I am so excited to start this course with you and ready to answer all your questions in the comments. See you! N-Sh Who this course is for: Beginner Students in Optimization and Sizing of Renewable Energy Systems Researchers that want to create a pilot renewable energy system Experts and companies that are active in the renewable energy area owners of the renewable equipment and interested self-generators Show more Show less Course content 9 sections • 16 lectures • 2h 28m total length Expand all sections Introduction 1 lecture • 2min Introduction of the course Preview 02:14 Downloading and Installation of the Homer Software 1 lecture • 2min Downloading and Installation of the Homer Software Preview 02:24 Explaining the Interface of Homer Software 1 lecture • 7min Explaining the Interface of Homer Software Preview 07:11 Introduction to integration of renewable energy systems 1 lecture • 10min Why integration 09:51 Creating Standalone Microgrid Model 6 lectures • 55min Defining a location and resources 09:08 Defining electrical load 09:36 Defining technologies, Adding PV Modules 13:55 Defining technologies, Adding Converter 05:30 Defining technologies, Adding Wind Turbine 10:09 Defining technologies, Adding Battery 06:55 Analyzing the Results 2 lectures • 19min Evaluation of the results 12:42 Extract CSV file from Homer 05:57 Improving the Results of the Model 2 lectures • 28min Economic Inputs 09:16 Defining technologies to reduce cost of energy 18:31 Designing an Urban Microgrid 1 lecture • 18min Grid-connected systems 17:41 Sensitivity Analysis 1 lecture • 8min Sensitivity analysis and compare economic 07:54 Instructor Navid Shirzadi Data Analyst - Optimization Expert 4.5 Instructor Rating 758 Reviews 62,199 Students 2 Courses My name is Navid Shirzaid and I am super excited that you are here to read this section! I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies. I am also proficient in coding with Python and developing machine learning and deep learning models for different applications. I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence. To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677e9d0299c9e680',m:'bcaa57964762b9361ca2c4f50702fc80a867b06c-1627816158-1800-AbcpdHAC9lYiw7TjXusCORrXsn7qwnW1Le7L0bbSwbMX5+y2zuR6wXwJOeAi9jcPuzY6YofimokhflQHM82gyS4oUlQkDMzTNMI3AZMvKhL32PNAEc55GfG2UX/ASIpC/9LuZukq5I3agrupGRusNozWA3BMkZgX4XD17TZa7Fsww3mpLdYLsmeqbszL8SoM0Vo2X3FG4wsrK8I8wl+880E=',s:[0x7ddce900c2,0x05c4e5389b],}})();
  3. Techno-economic assessment of energy systems using Homer software Results evaluation and understaning the economic parameters improving the levelized cost of energy Requirements No requirement Description Due to environmental challenges and the depletion of fossil fuels, renewable energies are getting so much attention. However, due to the intermittent characteristic of renewable energies, using them as standalone mode could not be reliable. Therefore we need to integrate renewable technologies together to solve this issue. the integrated system needs to be optimally sized to reduce the cost and economically feasible. To achieve this aim and size and manage our integrated energy system model, we want to develop our model in Homer software. Homer software will then perform optimization on our model to minimize the net present cost of the system. In this course, I tried to explain all you need for designing your system and technically and economically assessment of it using Homer software for the first time on the Udemy website. What you will learn in this course: The basic technical and economic concepts of integration of renewable energy systems Homer Software interface How to calculate required parameters Import data to and export the results from Homer Several real projects (Hands-on Homer) Final evaluation of the results This course is not theory and will give you this opportunity to learn to design energy systems as fast as possible by hands-on projects. I am so excited to start this course with you and ready to answer all your questions in the comments. See you! N-Sh Who this course is for: Beginner Students in Optimization and Sizing of Renewable Energy Systems Researchers that want to create a pilot renewable energy system Experts and companies that are active in the renewable energy area owners of the renewable equipment and interested self-generators Show more Show less Course content 9 sections • 16 lectures • 2h 28m total length Expand all sections Introduction 1 lecture • 2min Introduction of the course Preview 02:14 Downloading and Installation of the Homer Software 1 lecture • 2min Downloading and Installation of the Homer Software Preview 02:24 Explaining the Interface of Homer Software 1 lecture • 7min Explaining the Interface of Homer Software Preview 07:11 Introduction to integration of renewable energy systems 1 lecture • 10min Why integration 09:51 Creating Standalone Microgrid Model 6 lectures • 55min Defining a location and resources 09:08 Defining electrical load 09:36 Defining technologies, Adding PV Modules 13:55 Defining technologies, Adding Converter 05:30 Defining technologies, Adding Wind Turbine 10:09 Defining technologies, Adding Battery 06:55 Analyzing the Results 2 lectures • 19min Evaluation of the results 12:42 Extract CSV file from Homer 05:57 Improving the Results of the Model 2 lectures • 28min Economic Inputs 09:16 Defining technologies to reduce cost of energy 18:31 Designing an Urban Microgrid 1 lecture • 18min Grid-connected systems 17:41 Sensitivity Analysis 1 lecture • 8min Sensitivity analysis and compare economic 07:54 Instructor Navid Shirzadi Data Analyst - Optimization Expert 4.5 Instructor Rating 758 Reviews 62,199 Students 2 Courses My name is Navid Shirzaid and I am super excited that you are here to read this section! I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies. I am also proficient in coding with Python and developing machine learning and deep learning models for different applications. I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence. To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677e9d0299c9e680',m:'bcaa57964762b9361ca2c4f50702fc80a867b06c-1627816158-1800-AbcpdHAC9lYiw7TjXusCORrXsn7qwnW1Le7L0bbSwbMX5+y2zuR6wXwJOeAi9jcPuzY6YofimokhflQHM82gyS4oUlQkDMzTNMI3AZMvKhL32PNAEc55GfG2UX/ASIpC/9LuZukq5I3agrupGRusNozWA3BMkZgX4XD17TZa7Fsww3mpLdYLsmeqbszL8SoM0Vo2X3FG4wsrK8I8wl+880E=',s:[0x7ddce900c2,0x05c4e5389b],}})();
  4. Results evaluation and understaning the economic parameters improving the levelized cost of energy Requirements No requirement Description Due to environmental challenges and the depletion of fossil fuels, renewable energies are getting so much attention. However, due to the intermittent characteristic of renewable energies, using them as standalone mode could not be reliable. Therefore we need to integrate renewable technologies together to solve this issue. the integrated system needs to be optimally sized to reduce the cost and economically feasible. To achieve this aim and size and manage our integrated energy system model, we want to develop our model in Homer software. Homer software will then perform optimization on our model to minimize the net present cost of the system. In this course, I tried to explain all you need for designing your system and technically and economically assessment of it using Homer software for the first time on the Udemy website. What you will learn in this course: The basic technical and economic concepts of integration of renewable energy systems Homer Software interface How to calculate required parameters Import data to and export the results from Homer Several real projects (Hands-on Homer) Final evaluation of the results This course is not theory and will give you this opportunity to learn to design energy systems as fast as possible by hands-on projects. I am so excited to start this course with you and ready to answer all your questions in the comments. See you! N-Sh Who this course is for: Beginner Students in Optimization and Sizing of Renewable Energy Systems Researchers that want to create a pilot renewable energy system Experts and companies that are active in the renewable energy area owners of the renewable equipment and interested self-generators Show more Show less Course content 9 sections • 16 lectures • 2h 28m total length Expand all sections Introduction 1 lecture • 2min Introduction of the course Preview 02:14 Downloading and Installation of the Homer Software 1 lecture • 2min Downloading and Installation of the Homer Software Preview 02:24 Explaining the Interface of Homer Software 1 lecture • 7min Explaining the Interface of Homer Software Preview 07:11 Introduction to integration of renewable energy systems 1 lecture • 10min Why integration 09:51 Creating Standalone Microgrid Model 6 lectures • 55min Defining a location and resources 09:08 Defining electrical load 09:36 Defining technologies, Adding PV Modules 13:55 Defining technologies, Adding Converter 05:30 Defining technologies, Adding Wind Turbine 10:09 Defining technologies, Adding Battery 06:55 Analyzing the Results 2 lectures • 19min Evaluation of the results 12:42 Extract CSV file from Homer 05:57 Improving the Results of the Model 2 lectures • 28min Economic Inputs 09:16 Defining technologies to reduce cost of energy 18:31 Designing an Urban Microgrid 1 lecture • 18min Grid-connected systems 17:41 Sensitivity Analysis 1 lecture • 8min Sensitivity analysis and compare economic 07:54 Instructor Navid Shirzadi Data Analyst - Optimization Expert 4.5 Instructor Rating 758 Reviews 62,199 Students 2 Courses My name is Navid Shirzaid and I am super excited that you are here to read this section! I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies. I am also proficient in coding with Python and developing machine learning and deep learning models for different applications. I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence. To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677e9d0299c9e680',m:'bcaa57964762b9361ca2c4f50702fc80a867b06c-1627816158-1800-AbcpdHAC9lYiw7TjXusCORrXsn7qwnW1Le7L0bbSwbMX5+y2zuR6wXwJOeAi9jcPuzY6YofimokhflQHM82gyS4oUlQkDMzTNMI3AZMvKhL32PNAEc55GfG2UX/ASIpC/9LuZukq5I3agrupGRusNozWA3BMkZgX4XD17TZa7Fsww3mpLdYLsmeqbszL8SoM0Vo2X3FG4wsrK8I8wl+880E=',s:[0x7ddce900c2,0x05c4e5389b],}})();
  5. improving the levelized cost of energy Requirements No requirement Description Due to environmental challenges and the depletion of fossil fuels, renewable energies are getting so much attention. However, due to the intermittent characteristic of renewable energies, using them as standalone mode could not be reliable. Therefore we need to integrate renewable technologies together to solve this issue. the integrated system needs to be optimally sized to reduce the cost and economically feasible. To achieve this aim and size and manage our integrated energy system model, we want to develop our model in Homer software. Homer software will then perform optimization on our model to minimize the net present cost of the system. In this course, I tried to explain all you need for designing your system and technically and economically assessment of it using Homer software for the first time on the Udemy website. What you will learn in this course: The basic technical and economic concepts of integration of renewable energy systems Homer Software interface How to calculate required parameters Import data to and export the results from Homer Several real projects (Hands-on Homer) Final evaluation of the results This course is not theory and will give you this opportunity to learn to design energy systems as fast as possible by hands-on projects. I am so excited to start this course with you and ready to answer all your questions in the comments. See you! N-Sh Who this course is for: Beginner Students in Optimization and Sizing of Renewable Energy Systems Researchers that want to create a pilot renewable energy system Experts and companies that are active in the renewable energy area owners of the renewable equipment and interested self-generators Show more Show less Course content 9 sections • 16 lectures • 2h 28m total length Expand all sections Introduction 1 lecture • 2min Introduction of the course Preview 02:14 Downloading and Installation of the Homer Software 1 lecture • 2min Downloading and Installation of the Homer Software Preview 02:24 Explaining the Interface of Homer Software 1 lecture • 7min Explaining the Interface of Homer Software Preview 07:11 Introduction to integration of renewable energy systems 1 lecture • 10min Why integration 09:51 Creating Standalone Microgrid Model 6 lectures • 55min Defining a location and resources 09:08 Defining electrical load 09:36 Defining technologies, Adding PV Modules 13:55 Defining technologies, Adding Converter 05:30 Defining technologies, Adding Wind Turbine 10:09 Defining technologies, Adding Battery 06:55 Analyzing the Results 2 lectures • 19min Evaluation of the results 12:42 Extract CSV file from Homer 05:57 Improving the Results of the Model 2 lectures • 28min Economic Inputs 09:16 Defining technologies to reduce cost of energy 18:31 Designing an Urban Microgrid 1 lecture • 18min Grid-connected systems 17:41 Sensitivity Analysis 1 lecture • 8min Sensitivity analysis and compare economic 07:54 Instructor Navid Shirzadi Data Analyst - Optimization Expert 4.5 Instructor Rating 758 Reviews 62,199 Students 2 Courses My name is Navid Shirzaid and I am super excited that you are here to read this section! I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies. I am also proficient in coding with Python and developing machine learning and deep learning models for different applications. I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence. To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you! Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677e9d0299c9e680',m:'bcaa57964762b9361ca2c4f50702fc80a867b06c-1627816158-1800-AbcpdHAC9lYiw7TjXusCORrXsn7qwnW1Le7L0bbSwbMX5+y2zuR6wXwJOeAi9jcPuzY6YofimokhflQHM82gyS4oUlQkDMzTNMI3AZMvKhL32PNAEc55GfG2UX/ASIpC/9LuZukq5I3agrupGRusNozWA3BMkZgX4XD17TZa7Fsww3mpLdYLsmeqbszL8SoM0Vo2X3FG4wsrK8I8wl+880E=',s:[0x7ddce900c2,0x05c4e5389b],}})();