dumux-repositories issueshttps://git.iws.uni-stuttgart.de/groups/dumux-repositories/-/issues2023-04-26T15:08:20Zhttps://git.iws.uni-stuttgart.de/dumux-repositories/dumux-course/-/issues/41Recap - Dumux Course 20232023-04-26T15:08:20ZIvan BunticRecap - Dumux Course 2023Minutes of the post-course discussion:
#### How to improve slides
- Tone down property system and multidomain slides -> include more images and refer to advanced documentation.
- Putting in images in the beginning of a presentation brin...Minutes of the post-course discussion:
#### How to improve slides
- Tone down property system and multidomain slides -> include more images and refer to advanced documentation.
- Putting in images in the beginning of a presentation brings people up to speed, invigorate interest.
- Maybe too many code snippets on the slides, also difficult to read from the back (code snippets) and understand what they do. If code is longer than 3 lines, basically useless.
- Not necessary to put whole interface of function on slides. Full signature is seen in exercise.
- Initial settings of our slides (we used to have) might be preferable, because it forces you to keep the code snippet short and clear. Never have pseudo code in README, but might be useful for slides. However, with pseudo code people might not be able to transfer.
#### How to handle prerequisites for the course
- Maybe have additional pre dumux-course day: how to use shell, git, WSL - maybe expect people to come with that knowledge.
- Probably cannot start at the level of explaining shell etc. - we are here to present Dumux, not the basic stuff
-> maybe make slides much easier. Exercises seem to work pretty well, as they are very easy. However, people might be underwhelmed if made too easy.
- We usually overestimate audience, though level of knowledge is very diverse.
- At least a short cheat sheet for shell could be helpful, ask HLRS for material: how to use linux - might require more days than 3 days in the end.
- Prepare participants for C++/templates, tell them what knowledge we expect them to bring. Ned has some good exercises for c++, maybe do: if they can solve these exercises, then they are good to go.
- Big thing: do we want to provide basic instructions on shell, ...
#### How to improve exercises
- Present the solution after an exercise - that would help people follow our procedure and thoughts. Maybe cut after 1 hour of doing an exercise and tell those how are already done can do other stuff, but for those who want to see the solution, this might be helpful.
- Maybe introduce used model (equations, mathematical problem...) in the beginning of the README of an exercise and do not only show domain. However, do not force people to read these equations, make it optional, link to module, make it dropdown etc.
- Incentivise people to do the next task - make clear what you actually in a task, what do you get out of it?
- Make commands in exercise more clear, "in which folder do I have to be to execute this command?". For example, show in the first exercise, so everyone knows, how to navigate folders within the terminal, how to configure with cmake etc.
#### Evaluation
- It was suggested to have a continuous form of evaluation, not only on the first day - in the end it is difficult to remember what went well and what went bad on the first days.
#### What else to cover in the course
- Tips on how to read and deal with an error: start at top, search for red stuff. Maybe show most frequent errors and how to solve them (how to choose which ones would be the most frequent ones)?
-> could be included in the part when we present the solution by ourselves. Put in errors on purpose and show how to handle them.
- Present the documentation, what we have, handbook, doxygen...
#### General thought and tasks
- Pure online format might be possible? But not hybrid. Online, you cannot help them that well and it is difficult to interact. People also get easily distracted.
- Introduce online forum for the course (on our website?)?
- Big task for next release: make doxygen better.https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/524(Re-)Implement CFL criterion2023-02-19T16:20:57ZTimo Kochtimokoch@math.uio.no(Re-)Implement CFL criterionAs a first step of porting the decoupled/sequential models to the new structure, it would be a good thing to implement a CFL criterion for the time step control for the current porousmediumflow models. Add good start is e.g. a CFL is e.g...As a first step of porting the decoupled/sequential models to the new structure, it would be a good thing to implement a CFL criterion for the time step control for the current porousmediumflow models. Add good start is e.g. a CFL is e.g. the 1p_tracer test (https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/tree/master/test/porousmediumflow/tracer/1ptracer) that uses an explicit Euler for the transport but currently has a constant time step that is small enough for the test. CFL would be a big improvement.
@martins Maybe you are the best to deal with this?Martin SchneiderMartin Schneiderhttps://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/1344Release 3.92024-02-28T08:34:38ZLeon KeimRelease 3.9# Issue related for Dumux Day's leading to 3.9
## Introduction
- Second Dumux Day in this release cycle
- Trial of new way to approach Dumux Day
---
## New Approach to Dumux Days
### Few things we think that can be improved:
-...# Issue related for Dumux Day's leading to 3.9
## Introduction
- Second Dumux Day in this release cycle
- Trial of new way to approach Dumux Day
---
## New Approach to Dumux Days
### Few things we think that can be improved:
- Motivation
- Stop endless discussions
- Reduce the contribution hurdle
### Ideas for this release:
- Identify three main contributions for the next release
- Smaller groups for each contribution
- Group should start by first defining the why,how and how much
+ Avoid to much discussion
+ Avoid doing work for nothing
- Ideally develop a roadmap for that
+ Includes to decide what is realistic and what not
- Group stays in that configuration for the release
- Every Dumux Day each group gets 5 min to present where they are
- To early feedback should be avoided
+ More power/responsibility for individual groups
---
## Main Contributions for this Release
### 1. Documentation @kaiw @stefaniekiemle @houkili @leonidas
- #1154 High-Level-Documentation !3755
- Architectural-Documentation
- #1338 Parameter Group
- #1323 Fluid-Matrix-Interactions
- #1346 Comments and Documentation in General
### 2. Physics @anna_m_kostelecky @yue @tschol @IvBu @RoWin @tufan @Maziar
- #1339 setRelativeHumidity and Fluid States @timok
- #1256 Energy balance implemetation @anna_m_kostelecky @tufan @Maziar
- #1255 Enthalpy of ideal gases @IvBu @RoWin @tschol @yue
- #1221 Anisotropic permeability law
### 3. FreeFlow @nedc @martins @mathis
- #1257 FF-PM Coupling
- #1205 Spatially varying extrusion Factor
- #1347 Pore Scale Simulations with Volume Averaging
- #1345 dofOnBoundary missing3.9Leon KeimLeon Keimhttps://git.iws.uni-stuttgart.de/dumux-repositories/dumux-docker-ci/-/issues/11Remove 20.04 images?2023-11-01T10:23:41ZTimo Kochtimokoch@math.uio.noRemove 20.04 images?I think we can get rid of 20.04 images and after making sure that they are not in use anymore.I think we can get rid of 20.04 images and after making sure that they are not in use anymore.https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/1327Remove deprecations for 3.82023-12-13T14:27:04ZBernd FlemischRemove deprecations for 3.8There are several deprecations:
```text
dumux/discretization/cellcentered/mpfa/subcontrolvolumeface.hh:197: [[deprecated("Will be removed after 3.8. Use fvGeometry.geometry(scvf).corners().")]]
dumux/discretization/cellcentered/mpfa/s...There are several deprecations:
```text
dumux/discretization/cellcentered/mpfa/subcontrolvolumeface.hh:197: [[deprecated("Will be removed after 3.8. Use fvGeometry.geometry(scvf).corners().")]]
dumux/discretization/cellcentered/mpfa/subcontrolvolumeface.hh:202: [[deprecated("Will be removed after 3.8. Use fvGeometry.vertexCorner(scvf)")]]
dumux/discretization/cellcentered/mpfa/subcontrolvolumeface.hh:207: [[deprecated("Will be removed after 3.8. Use fvGeometry.facetCorner(scvf)")]]
dumux/porousmediumflow/boxdfm/subcontrolvolume.hh:193: [[deprecated("Will be removed after 3.7. Use fvGeometry.geometry(scv).")]]
dumux/porousmediumflow/boxdfm/subcontrolvolumeface.hh:228: [[deprecated("Will be removed after 3.7. Use fvGeometry.geometry(scvf).")]]
dumux/linear/seqsolverbackend.hh:56: [[deprecated("Removed after 3.8. Use solver from istlsolvers.hh")]]
dumux/linear/seqsolverbackend.hh:77: [[deprecated("Removed after 3.8. Use solver from istlsolvers.hh")]]
dumux/linear/seqsolverbackend.hh:101: [[deprecated("Removed after 3.8. Use solver from istlsolvers.hh")]]
dumux/linear/seqsolverbackend.hh:122: [[deprecated("Removed after 3.8. Use solver from istlsolvers.hh")]]
dumux/multidomain/facet/box/subcontrolvolumeface.hh:179: [[deprecated("Will be removed after 3.7. Use fvGeometry.geometry(scvf).")]]
```
Some are still from 3.7, probably the removal of them is not as straightforward.3.9https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/1173Remove scv/scvf.geometry()/corner()2023-12-13T14:27:03ZTimo Kochtimokoch@math.uio.noRemove scv/scvf.geometry()/corner()Scv and Scvf do not need to store any corners and/or geometries.
The geometry can be computed on-the-fly given an element geometry.
We could provide such a feature in the element geometries.
Since I assume that this is a hardly used fea...Scv and Scvf do not need to store any corners and/or geometries.
The geometry can be computed on-the-fly given an element geometry.
We could provide such a feature in the element geometries.
Since I assume that this is a hardly used feature, and all occurrences in Dumux (can be counted on one hand) can use a replacement, I suggest to remove these interfaces without deprecation.
The benefit is much less memory usage when caching the scv/scvfs.
The proposed interface is two free functions
`auto geometry(fvElementGeometry, scv)`
`auto geometry(fvElementGeometry, scvf)`
Alternatively, we can think about
`auto geometry(element_geometry, scv)`
`auto geometry(element_geometry, scvf)`
then all local Dune index information has to be available from the scv/scvf object, while the first version allows to do some additional mapping only known to the `fvElementGeometry` implementation.3.9Mathis KelmMathis Kelmhttps://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/923Revise use of mappers2021-03-09T12:18:37ZKilian WeishauptRevise use of mappers!2218 allows to use `SingleCodimSingleGeomTypeMapper` instead of our default `MultipleCodimMultipleGeomTypeMapper`, which can be a bit faster.
Using SingleCodimSingleGeomTypeMapper as ElementMapper works fine.
However, the code does no...!2218 allows to use `SingleCodimSingleGeomTypeMapper` instead of our default `MultipleCodimMultipleGeomTypeMapper`, which can be a bit faster.
Using SingleCodimSingleGeomTypeMapper as ElementMapper works fine.
However, the code does not compile when `gridGeometry.vertexMapper()` is passed in the context of `gridView.communicate(...)` or `VectorP0VTKFunction`.
I think in these cases, one is actually forced to use the MCMGMapper because the algorithm iterates over the entities of all codims during runtime.
We should check all of these occurrences. Maybe we should always provide a MultipleCodimMultipleGeomTypeMapper object
for vertices in our BaseGridGeometry which can be used for these special cases.https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-web-app/-/issues/29simulation in docker runs not with user namespace isolation in deployment2022-11-30T16:58:31ZDavid Wernersimulation in docker runs not with user namespace isolation in deploymentThe user namespace isolation ([userns-remap](https://docs.docker.com/engine/security/userns-remap/)) is a suggested mean to run the processes of docker as non-root except for docker daemon itself. What fails with dumux-web-app is sharin...The user namespace isolation ([userns-remap](https://docs.docker.com/engine/security/userns-remap/)) is a suggested mean to run the processes of docker as non-root except for docker daemon itself. What fails with dumux-web-app is sharing of the directory for data (flask-backend with docker) via mount (possible bind mount). Maybe it would be better to omit the mount in some way if possible.https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-docker/-/issues/5Small Cell 5G Network Market: A Breakdown of the Industry by Region and Segment2023-09-22T06:46:16Zsareena shaikhSmall Cell 5G Network Market: A Breakdown of the Industry by Region and SegmentThe research report provides an in-depth evaluation of the Global Small Cell 5G Network market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed analys...The research report provides an in-depth evaluation of the Global Small Cell 5G Network market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed analysis concentrated on the critical market dynamics such as drivers, restraints, trends, and growth opportunities to assist businesses to prepare for any challenges they might encounter in the forecast period.
Its panoramic view of the Small Cell 5G Network industry entails useful insights into the estimated Small Cell 5G Network market size, revenue share, and sales & distribution networks. Such helpful market insights are bound to help readers outline this industry’s key outcomes in the near future. Those are further intended to assist businesses involved in this sector in sound decision-making and formulating lucrative business plans. The primary addressees of this report include some of the globally renowned venture capitalists. The report offers these individuals a vivid description of the competitive spectrum of the global Small Cell 5G Network market.
The global small cell 5G network market size is expected to reach USD 4,749.43 Million at a CAGR of 28.7% during the forecast period, according to latest analysis by Emergen Research. Key factors driving market revenue growth include rising government focus on digitalization of processes, rapidly increasing mobile data traffic, emergence of Citizen Broadband Radio Service (CBRS) band, rising demand for high-speed Internet, and increasing penetration of mobile devices in remote areas. CBRS prevents interferences between indoor and macro networks, enables multi-operator support, and provides more cost-effective mobile network coverage for small, medium, and large enterprises. Increased government funding for development of 5G infrastructure is another key factor driving growth of the market. In February 2021 for instance, the telecom ministry of the Government of India announced auctioning of 5G spectrum worth over USD 40 Billion. In 2020, South Korea launched the first Small Cell 5G network and aims to convert 60% of all the mobile subscriptions to 5G network by 2025.
The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.
**Request Free Sample Copy (To Understand the Complete Structure of this Report \[Summary + TOC\]) @** https://www.emergenresearch.com/request-sample/598
**Market Scope:** The report explains the scope of various commercial possibilities in the global Small Cell 5G Network market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
**Competitive Outlook:** The leading companies operating in the Small Cell 5G Network market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
**Report Objective:** The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Small Cell 5G Network market.
**Competitive Terrain:** The global Small Cell 5G Network industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
**The leading market contenders listed in the report are:**
Ericsson, Huawei, ZTE, Cisco, NEC, Nokia, CommScope, Airspan Networks, ip.access, Corning
**Emergen Research is Offering Limited Time Discount (Grab a Copy at Discounted Price Now) @** https://www.emergenresearch.com/request-discount/598
**Market Segmentations of the Small Cell 5G Network Market**
This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Small Cell 5G Network market on the basis of product, application, and region:
**Segments Covered in this report are:**
* **Radio Technology Outlook (Revenue, USD Million; 2018–2028)**
* 5G New Radio (NR) Standalone
* 5G NR Non-Standalone
* **Cell Type Outlook (Revenue, USD Million; 2018–2028)**
* Picocells
* Femtocells
* Microcells
* **Deployment Mode Outlook (Revenue, USD Million; 2018–2028)**
* Outdoor
* Indoor
**Browse Full Report Description + Research Methodology + Table of Content + Infographics@** https://www.emergenresearch.com/industry-report/small-cell-5g-network-market
**Regional Outlook of the Small Cell 5G Network Market**
The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market.
**Regional Analysis Covers:**
* North America (U.S., Canada)
* Europe (U.K., Italy, Germany, France, Rest of EU)
* Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
* Latin America (Chile, Brazil, Argentina, Rest of Latin America)
* Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
**Research Report on the Small Cell 5G Network Market Addresses the Following Key Questions:**
* Who are the dominant players of the Small Cell 5G Network market?
* Which regional market is anticipated to have a high growth rate over the projected period?
* What consumer trends and demands are expected to influence the operations of the market players in the Small Cell 5G Network market?
* What are the key growth drivers and restraining factors of the Small Cell 5G Network market?
* What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
* What is the overall impact of the COVID-19 pandemic on the Small Cell 5G Network market and its key segments?
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https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-docker/-/issues/9Smart Harvest Market: A Study of the Industry's Key Applications and Technolo...2023-09-22T07:34:33Zsareena shaikhSmart Harvest Market: A Study of the Industry's Key Applications and TechnologiesThe research report provides an in-depth evaluation of the Global Smart Harvest market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed analysis conce...The research report provides an in-depth evaluation of the Global Smart Harvest market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed analysis concentrated on the critical market dynamics such as drivers, restraints, trends, and growth opportunities to assist businesses to prepare for any challenges they might encounter in the forecast period.
Its panoramic view of the Smart Harvest industry entails useful insights into the estimated Smart Harvest market size, revenue share, and sales & distribution networks. Such helpful market insights are bound to help readers outline this industry’s key outcomes in the near future. Those are further intended to assist businesses involved in this sector in sound decision-making and formulating lucrative business plans. The primary addressees of this report include some of the globally renowned venture capitalists. The report offers these individuals a vivid description of the competitive spectrum of the global Smart Harvest market.
The global smart harvest market size is expected to reach USD 27.94 Billion in 2028 and register a steady CAGR over the forecast period, according to latest analysis by Emergen Research. Steady market revenue growth can be attributed to rising focus on increasing agricultural productivity and crop yield. Rapid increase in the global population is exerting pressure on the agricultural sector worldwide to increase productivity in order to meet rising growing demand for food. Farmers are increasingly adopting smart harvest technologies to maximize profitability and output in a lesser time and in a more cost-effective manner. Limited availability of arable land is a key factor driving demand for indoor farming activities and increasing usage of smart harvesting technologies to eliminate labor expenses. Moreover, rising cost of labor owing to shortage of skilled workforce is another key factor boosting utilization of harvesting robots and autonomous combine harvesters to eliminate excess labor cost and increase agricultural productivity.
The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.
**Request Free Sample Copy (To Understand the Complete Structure of this Report \[Summary + TOC\]) @** https://www.emergenresearch.com/request-sample/666
**Market Scope:** The report explains the scope of various commercial possibilities in the global Smart Harvest market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
**Competitive Outlook:** The leading companies operating in the Smart Harvest market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
**Report Objective:** The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Smart Harvest market.
**Competitive Terrain:** The global Smart Harvest industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
**The leading market contenders listed in the report are:**
Deere & Company, Robert Bosch GmbH, Panasonic Corporation, Energid Technologies, Smart Harvest Ltd, Harvest Automation, Inc., Dogtooth Technologies, AVL Motion B.V., Abundant Robotics, Inc., and Iron Ox, Inc
**Emergen Research is Offering Limited Time Discount (Grab a Copy at Discounted Price Now) @** https://www.emergenresearch.com/request-discount/666
**Market Segmentations of the Smart Harvest Market**
This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Smart Harvest market on the basis of product, application, and region:
**Segments Covered in this report are:**
* **Site of Operation Outlook (Revenue, USD Billion; 2018–2028)**
* Greenhouse
* On-Field
* Indoor
* **Component Outlook (Revenue, USD Billion; 2018–2028)**
* Software
* Hardware
1. Sensors
2. Automation & control systems
3. Harvesting robots
4. Imaging systems
* **Crop Type Outlook (Revenue, USD Billion; 2018–2028)**
* Vegetables
* Fruit
**Browse Full Report Description + Research Methodology + Table of Content + Infographics@** https://www.emergenresearch.com/industry-report/smart-harvest-market
**Regional Outlook of the Smart Harvest Market**
The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market.
**Regional Analysis Covers:**
* North America (U.S., Canada)
* Europe (U.K., Italy, Germany, France, Rest of EU)
* Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
* Latin America (Chile, Brazil, Argentina, Rest of Latin America)
* Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
**Research Report on the Smart Harvest Market Addresses the Following Key Questions:**
* Who are the dominant players of the Smart Harvest market?
* Which regional market is anticipated to have a high growth rate over the projected period?
* What consumer trends and demands are expected to influence the operations of the market players in the Smart Harvest market?
* What are the key growth drivers and restraining factors of the Smart Harvest market?
* What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
* What is the overall impact of the COVID-19 pandemic on the Smart Harvest market and its key segments?
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**About Emergen Research**
Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyze consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trend’s existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.
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https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-docker/-/issues/2Solar Vehicle Market: From Research to Real-World Applications2023-09-22T06:34:11Zsareena shaikhSolar Vehicle Market: From Research to Real-World ApplicationsThe research report provides an in-depth evaluation of the Global Solar Vehicle market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed analysis conce...The research report provides an in-depth evaluation of the Global Solar Vehicle market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed analysis concentrated on the critical market dynamics such as drivers, restraints, trends, and growth opportunities to assist businesses to prepare for any challenges they might encounter in the forecast period.
Its panoramic view of the Solar Vehicle industry entails useful insights into the estimated Solar Vehicle market size, revenue share, and sales & distribution networks. Such helpful market insights are bound to help readers outline this industry’s key outcomes in the near future. Those are further intended to assist businesses involved in this sector in sound decision-making and formulating lucrative business plans. The primary addressees of this report include some of the globally renowned venture capitalists. The report offers these individuals a vivid description of the competitive spectrum of the global Solar Vehicle market.
The global solar vehicle market size was USD 290.7 Million in 2020 and is expected to reach USD 2,899.7 Million in 2027 and register a robust double-digit CAGR over the forecast period, according to latest analysis by Emergen Research. This steady growth can be attributed to increasing awareness and concerns regarding environmental degradation due to impact of air pollution and depleting fossil fuel resources. In addition, initiatives focused on shifting away from non-renewable and more eco-friendly energy resources is another key factor driving market growth. Increasing spending capacity and rising sales of fossil fuel-powered vehicles is rapidly becoming a major concern, especially in rapidly developing economies. Stringent norms by regulatory bodies to control carbon emission levels from conventional fossil fuel-powered vehicles is having a positive impact on vehicle manufacturers globally. An increasing number of major automotive manufacturers are focusing on research and development in solar power energy systems and steady introduction of new and more advanced solar-powered vehicles has become a growing trend in the market. OEMs are increasingly investing in production of more efficient, advanced, and cost-effective solar vehicles to meet the growing demand and interest in such energy efficient vehicles. High initial cost currently however is a major factor impacting demand for advanced solar-powered vehicles, and this is expected to restrain market growth to a certain extent going forward.
The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.
**Request Free Sample Copy (To Understand the Complete Structure of this Report \[Summary + TOC\]) @** https://www.emergenresearch.com/request-sample/535
**Market Scope:** The report explains the scope of various commercial possibilities in the global Solar Vehicle market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
**Competitive Outlook:** The leading companies operating in the Solar Vehicle market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
**Report Objective:** The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Solar Vehicle market.
**Competitive Terrain:** The global Solar Vehicle industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
**The leading market contenders listed in the report are:**
Sono Motors, Volkswagen, Toyota, Ford, Mahindra & Mahindra, Nissan, General Motors, Fiat Chrysler Automobiles, Venturi Automobiles, and Hanergy Thin Film Power Group
**Emergen Research is Offering Limited Time Discount (Grab a Copy at Discounted Price Now) @** https://www.emergenresearch.com/request-discount/535
**Market Segmentations of the Solar Vehicle Market**
This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Solar Vehicle market on the basis of product, application, and region:
**Segments Covered in this report are:**
* **Solar Panel Type Outlook (Revenue, USD Million; 2020–2027)**
* Polycrystalline
* Monocrystalline
* **Battery Type Outlook (Revenue, USD Million; 2020–2027)**
* Lead Carbon
* Lithium Ion
* Lead Acid
* Nickel Metal Hydride Batteries
* **Vehicle Type Outlook (Revenue, USD Million; 2020–2027)**
* Commercial Vehicles
* Passenger cars
**Browse Full Report Description + Research Methodology + Table of Content + Infographics@** https://www.emergenresearch.com/industry-report/solar-vehicle-market
**Regional Outlook of the Solar Vehicle Market**
The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market.
**Regional Analysis Covers:**
* North America (U.S., Canada)
* Europe (U.K., Italy, Germany, France, Rest of EU)
* Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
* Latin America (Chile, Brazil, Argentina, Rest of Latin America)
* Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
**Research Report on the Solar Vehicle Market Addresses the Following Key Questions:**
* Who are the dominant players of the Solar Vehicle market?
* Which regional market is anticipated to have a high growth rate over the projected period?
* What consumer trends and demands are expected to influence the operations of the market players in the Solar Vehicle market?
* What are the key growth drivers and restraining factors of the Solar Vehicle market?
* What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
* What is the overall impact of the COVID-19 pandemic on the Solar Vehicle market and its key segments?
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Thank you for reading our report. For further details or to inquire about customization, please let us know and we will offer you the report as per your needs.
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**About Emergen Research**
Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyze consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trend’s existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.
**Contact Us:**
Eric Lee
Corporate Sales Specialist
Emergen Research | Web: www.emergenresearch.com
Direct Line: +1 (604) 757-9756
E-mail: sales@emergenresearch.com
Visit for More Insights: https://www.emergenresearch.com/insights
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**Trending Titles:** [Rail Asset Management Market](https://www.emergenresearch.com/industry-report/rail-asset-management-market) **|** [Tracheostomy Products Market](https://www.emergenresearch.com/industry-report/tracheostomy-products-market)
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https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/703Spatial parameters cannot be time dependent if not solution-dependent2023-02-22T08:58:07ZTimo Kochtimokoch@math.uio.noSpatial parameters cannot be time dependent if not solution-dependentIf we compute the tracer model in combination with a fluid that changes properties over time, we
need the old properties to evaluate the storage.
The problem is, the volvars currently don't know anything about time, so we can't pass tha...If we compute the tracer model in combination with a fluid that changes properties over time, we
need the old properties to evaluate the storage.
The problem is, the volvars currently don't know anything about time, so we can't pass that information
to the spatial params. That's why we currently assume that all secondary variables are either constant
or solution-dependent but not time-dependent without being solution-dependent. This is a big drawback
in general and a bug or at least an imprecision in the tracer model.https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/1329Stale branches2024-03-25T10:29:14ZBernd FlemischStale branchesLet's delete stale branches that don't have an associated merge request, apart from the release branches. Stale for >12 months?Let's delete stale branches that don't have an associated merge request, apart from the release branches. Stale for >12 months?X.Xhttps://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/1356[test][porousmediumflow][2pncmin][nonisothermal] Neumann flux at top has to b...2024-02-16T08:57:42ZAnna Mareike Kostelecky[test][porousmediumflow][2pncmin][nonisothermal] Neumann flux at top has to be adaptedWithin in the [non-isothermal 2pncmin test](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/tree/master/test/porousmediumflow/2pncmin/nonisothermal?ref_type=heads) a few things for the Neumann BC at the top should be adapted:...Within in the [non-isothermal 2pncmin test](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/tree/master/test/porousmediumflow/2pncmin/nonisothermal?ref_type=heads) a few things for the Neumann BC at the top should be adapted:
1. In the upwind term ([here](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/blob/master/test/porousmediumflow/2pncmin/nonisothermal/problem.hh?ref_type=heads#L239)) the reference mass-specific density of air is used, but there should be the molar density of air.
With the mass-specific density $\rho = 1.2 ~\text{kg}/\text{m}^3$ and the molar mass of air $M=28.96 * 10^{-3} ~\text{kg}/\text{mol}$, we have $\rho^{\text{mol}}=\rho/M \approx 41,44 ~\text{mol}/\text{m}^3$
2. The density of air (e.g. [here](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/blob/master/test/porousmediumflow/2pncmin/nonisothermal/problem.hh?ref_type=heads#L231)) for the liquid flux should generally be harmonic averaged if CCFV is used with TPFA and arithmetic averaged for box method (as flux for liquid phase is purely diffusive and we do upwind just for advective processes)
3. The comments for "gas flux in/out" ([here](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/blob/master/test/porousmediumflow/2pncmin/nonisothermal/problem.hh?ref_type=heads#L246)) should be switched.
4. For the energy exchange the harmonic mean of the effective heat conductivity within the porous medium and the heat conductivity within the free-flow should be taken. (Note, that applying the same harmonic averaging for the diffusion coefficient is counter-productive as the effective diffusion coefficient, using Millington-Quirk, is small for highly water-saturated porous media. This would lead to a lower evaporation rate for highly water saturated porous-media in comparison to high evaporation rates for almost dried-out porous media. Hence, only the pure binary diffusion coefficient is taken - It could be scaled e.g. linearly with the porosity)https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-web-app/-/issues/4Tests2020-07-21T21:25:32ZTimo Kochtimokoch@math.uio.noTestsWe could implement some tests for different configuration files.
* [ ] Test the elements of the parameter form
* [ ] Test the backend configuration
* [ ] How to integrate this with react test?We could implement some tests for different configuration files.
* [ ] Test the elements of the parameter form
* [ ] Test the backend configuration
* [ ] How to integrate this with react test?https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-docker/-/issues/4The Future of Carbon Footprint Management: A Market Analysis2023-09-22T06:42:20Zsareena shaikhThe Future of Carbon Footprint Management: A Market AnalysisThe research report provides an in-depth evaluation of the Global Carbon Footprint Management market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed ...The research report provides an in-depth evaluation of the Global Carbon Footprint Management market drivers and restraints Market and helps the market participants intensify their footprints in the industry. The report gives a detailed analysis concentrated on the critical market dynamics such as drivers, restraints, trends, and growth opportunities to assist businesses to prepare for any challenges they might encounter in the forecast period.
Its panoramic view of the Carbon Footprint Management industry entails useful insights into the estimated Carbon Footprint Management market size, revenue share, and sales & distribution networks. Such helpful market insights are bound to help readers outline this industry’s key outcomes in the near future. Those are further intended to assist businesses involved in this sector in sound decision-making and formulating lucrative business plans. The primary addressees of this report include some of the globally renowned venture capitalists. The report offers these individuals a vivid description of the competitive spectrum of the global Carbon Footprint Management market.
The global carbon footprint management market size is expected to reach USD 14.74 Billion at a CAGR of 5.5% during the forecast period, according to latest analysis by Emergen Research. This projected market revenue growth can be attributed to primarily to rising concerns regarding climate change, global warming, and increasing government initiatives to address carbon emissions across the globe. Rising awareness among organizations to focus on lowering carbon emission levels by calculating carbon footprint is another factor driving market growth. Stringent government regulations regarding carbon emissions also plays a major role for growth of market as it compels the organizations to deploy carbon footprint management software to adhere to rules and regulations. Rising focus of energy and utility sectors on carbon footprint management is also expected to drive market growth. In addition, support for carbon trading market is further expected to boost market growth going ahead.
The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.
**Request Free Sample Copy (To Understand the Complete Structure of this Report \[Summary + TOC\]) @** https://www.emergenresearch.com/request-sample/596
**Market Scope:** The report explains the scope of various commercial possibilities in the global Carbon Footprint Management market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
**Competitive Outlook:** The leading companies operating in the Carbon Footprint Management market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
**Report Objective:** The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Carbon Footprint Management market.
**Competitive Terrain:** The global Carbon Footprint Management industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
**The leading market contenders listed in the report are:**
Carbon Footprint, Enablon, SAP, Dakota Software, ProcessMAP, IsoMetrix, IBM, Schneider Electric, Salesforce, ENGIE
**Emergen Research is Offering Limited Time Discount (Grab a Copy at Discounted Price Now) @** https://www.emergenresearch.com/request-discount/596
**Market Segmentations of the Carbon Footprint Management Market**
This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Carbon Footprint Management market on the basis of product, application, and region:
**Segments Covered in this report are:**
* **Component Outlook (Revenue, USD Billion; 2018–2028)**
* Solution
* Services
* **Deployment Outlook (Revenue, USD Billion; 2018–2028)**
* Cloud
* On-Premise
* **Application Outlook (Revenue, USD Billion; 2018–2028)**
* Manufacturing
* Energy and Utilities
* Residential and Commercial Buildings
* Transportation and Logistics
* IT and Telecom
**Browse Full Report Description + Research Methodology + Table of Content + Infographics@** https://www.emergenresearch.com/industry-report/carbon-footprint-management-market
**Regional Outlook of the Carbon Footprint Management Market**
The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market.
**Regional Analysis Covers:**
* North America (U.S., Canada)
* Europe (U.K., Italy, Germany, France, Rest of EU)
* Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
* Latin America (Chile, Brazil, Argentina, Rest of Latin America)
* Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
**Research Report on the Carbon Footprint Management Market Addresses the Following Key Questions:**
* Who are the dominant players of the Carbon Footprint Management market?
* Which regional market is anticipated to have a high growth rate over the projected period?
* What consumer trends and demands are expected to influence the operations of the market players in the Carbon Footprint Management market?
* What are the key growth drivers and restraining factors of the Carbon Footprint Management market?
* What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
* What is the overall impact of the COVID-19 pandemic on the Carbon Footprint Management market and its key segments?
**Request Customization as per your specific requirement@** https://www.emergenresearch.com/request-for-customization/596
Thank you for reading our report. For further details or to inquire about customization, please let us know and we will offer you the report as per your needs.
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**About Emergen Research**
Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyze consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trend’s existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.
**Contact Us:**
Eric Lee
Corporate Sales Specialist
Emergen Research | Web: www.emergenresearch.com
Direct Line: +1 (604) 757-9756
E-mail: sales@emergenresearch.com
Visit for More Insights: https://www.emergenresearch.com/insights
**Explore Our **[**Custom Intelligence services**](https://www.emergenresearch.com/custom-intelligence)** | **[**Growth Consulting Services**](https://www.emergenresearch.com/growth-consultant)
**Trending Titles:** [Rail Asset Management Market](https://www.emergenresearch.com/industry-report/rail-asset-management-market) **|** [Tracheostomy Products Market](https://www.emergenresearch.com/industry-report/tracheostomy-products-market)
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https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/1071Tracer is not conserved2024-03-25T10:25:34ZBernd FlemischTracer is not conserved**Problem description:**
In a multi-phase setting, the amount of a tracer in one fluid phase is possibly not conserved from one time step to the next.
**Explanation:**
When solving the flow problem, the phase distribution usually chang...**Problem description:**
In a multi-phase setting, the amount of a tracer in one fluid phase is possibly not conserved from one time step to the next.
**Explanation:**
When solving the flow problem, the phase distribution usually changes. For example, the saturation in one cell increases. Since flow and tracer problems are decoupled, one should assume in this flow step that the added fluid doesn't contain tracer. For conserving the amount of tracer in each cell, the tracer concentration should be adapted to this change. While the concentration should be reduced in case of an increasing saturation, it stays the same and therefore the amount of tracer in the cell is increased. This is not corrected by the tracer solution step, as that step just redistributes the tracer according to the volume flux and the given (possibly wrong) concentration.
**How to reproduce it:**
Check out the branch `fix/tracer-concentration` and consider [test/porousmediumflow/tracer/conservation](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/tree/fix/tracer-conservation/test/porousmediumflow/tracer/conservation). Comment the line
```cpp
equilibrateTracer(xOld, oldSaturation_, saturation_);
```
of `main.cc`.
**Possible fix:**
Equilibrate the tracer after each flow solve and before each tracer solve. To be discussed in !2767.X.Xhttps://git.iws.uni-stuttgart.de/dumux-repositories/dumux-web-app/-/issues/19Unify config of SelectSimulationView and About2020-09-01T13:17:07ZTimo Kochtimokoch@math.uio.noUnify config of SelectSimulationView and AboutThey both need to be customizable and need similar settings. Title, description, image. Also both could be designed with markdown files (`description_file`).They both need to be customizable and need similar settings. Title, description, image. Also both could be designed with markdown files (`description_file`).https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-docker/-/issues/1Update to dumux 32021-05-23T11:49:25ZTimo Kochtimokoch@math.uio.noUpdate to dumux 3https://git.iws.uni-stuttgart.de/dumux-repositories/dumux/-/issues/1105(Velocity-dependent) Dispersion for tpfa2023-11-24T08:25:06ZTimo Kochtimokoch@math.uio.no(Velocity-dependent) Dispersion for tpfaConstant dispersion tensor are implemented in !2921.
Velocity-dependency (fully-implicit) could be realized by using a cell velocity-based scheme and harmonic averaging of the dispersion tensor on the face. But this extends the flux ste...Constant dispersion tensor are implemented in !2921.
Velocity-dependency (fully-implicit) could be realized by using a cell velocity-based scheme and harmonic averaging of the dispersion tensor on the face. But this extends the flux stencil of a single flux to the element stencil required for the velocity reconstruction.
Follow-up from #320 and !2921.