- #1
Themenstarter/in
Hallo zusammen!
Ich hatte vor einem halben Jahr schon mal einen ähnlichen Thread erstellt, in dem ich Sprecher für ein Uni Projekt gesucht habe - und jetzt muss ich nochmal eines machen und würde mich wieder über 2 Sprecher freuen!
Es geht um ein geographisches Projekt der Universität Heidelberg, das sich mit Laser Scanning befasst. Ich bräuchte quasi einen "Erzähler", der den Hauptteil macht und jemanden, der ein Interview einspricht. Letzterer müsste männlich sein, beim Erzähler spielt das keine Rolle
Die Texte sind englisch, also sollten die Sprecher ganz gut im englisch sprechen sein.
Ich würde mich freuen, wenn sich jemand finden würde!
Vielen Dank,
Michael
Hier mal der Erzählertext:
--------------
The potential of solar energy for generating almost emission free and sustainable energy has been known and used for decades. But with the rise of anthropogenic influenced climate change and nuclear catastrophes like Fukushima, some states like Germany have decided to alter their energy supply plans from conservative to alternative, or green, energy technologies. This has pushed the renewable energy economies and research a lot.
Most of us are used to the views of solar fields and single plants on private roof tops. But especially big institutions like the University of Heidelberg have enormous energy consumption through numerous laboratories and huge scientific machines like particle accelerators or medical technologies. In 2012, the university had an energy consumption of 43 Giga watts per hour and spent 6.5 million euros on electricity. The part of the alternative energies of the whole mix lies at least at about 35%. Some of this comes from solar plants that have been installed on the rooftop of the institute of chemistry. With the highest energy consumption between 11 am and 15 am, solar plants can help stem the need at the university in the most critical parts of the day.
The performance of such plants could be increased through better planning and calculating factors such as shadows. Recently, scientists strive to fulfill those tasks by developing new methods to calculate the course of the sun and its dependent shadow to maximize the benefit of solar plants.
Some of these scientists are from the Department of Geography from Heidelberg University. They use modern technologies like Laser scanning, also called Lidar (sprich: leidar), short for light detection and ranging, to produce high detailed 3D-models of the environment. Laser Scanners work by sending out pulses of infrared laser light. Whenever the light hits a surface, a portion of it is reflected to the scanner, which calculates the distance to the object and produces a point cloud of millions of coordinates that merge to a 3D model of the scanned area. With those models, various analyses can be processed, for example simulating shadows cast by nearby trees that could cover solar plants and diminish the performance.
Together with students, the Heidelberg Geographers developed a tool to calculate the path of the sun throughout the day and the year, based on a C++ (sprich: Si plass plass ;-)) algorithm. It uses a common raster satellite image and a digital elevation model of the study area as input. With this 2.5D information, they can create a 3D Model of a line segment and calculate the solar radiation on its surface. This can then be used in common GIS software to determine optimal areas and orientation angles to maximize solar panel performance.
Those algorithms can also be used in laser scanning point clouds to compute the path of a shadow like in this example. Throughout one day, the single shadows have been calculated in a 3D model of a tree. This approach could be applied for numerous studies that depend on the course of the sun and the cast shadows. With this method for instance, the influence of the surrounding trees on the roof top at the University of Heidelberg could have been simulated.
Among others, one study that relies on this approach as well is the idea to utilize highway noise barriers for solar panels. Since these objects are already widely present, the idea seems likely to use them for this purpose. But not every part of those barriers is suitable for solar panels. Sometimes, nearby objects cast shadows or the orientation of the walls towards the sun is not ideal. With point clouds, those negative effects can be calculated precisely, even if there is no barrier yet. The solar potential output can then be integrated in common GIS software and used for further analyses. One disadvantage of this approach so far is the little availability of 3D point clouds. So it is still not possible to make extensive calculations for large regions without previous data collection.
But the applicability of such tools goes even beyond the mere calculation of optimal places for solar panels. A new approach tries to improve the predictability of hedonic real estate price models based on solar income. Normally, the value of a property depends on factors like location, living space or furnishing and the hedonic approach tries to predict this value based on already placed sales. Here, laser scanning has been used to calculate how much sunshine a flat receives throughout the day depending on nearby shadowing buildings or vegetation. For the first time, this can be computed for the third dimension and is thus much more reliable since the amount of solar income depends highly on the height above the ground.
The amount of solar radiation in turn determines running costs and increases awareness of life. Consequently, owners of sun-drenched flats should be willing to pay more for their property. Since those analyses can be produced for each flat separately, this method provides a significant improvement of hedonic real estate price models.
----------------
Der Interviewtext:
-----------------
We installed two plants at the university in 2011, the one you can see here and another one at the institute of sports. This is a photovoltaic system, which is also indicated by the blue color of the silicon. The plants are like tubs and are simply placed on the roof, but not anchored.
When sunlight falls on the panels, the photovoltaic effect is induced, which initiates a flow of electrons that is collected from the single modules. This direct current is then led to the inverter and converted to alternating current, which is also what we get from our sockets at home. Afterwards, it is fed to the institutes’ power supply system.
For this plant, which reaches a peak of 72 kilowatt-hours, we had to pay about 150 thousand euros.
We can assume that we have a solar radiation of about 1000 kilo watts per square meter in Heidelberg over one year. That means that you get about 1000 kilowatt-hours per year. So on balance, this plant produces about 70000 kilowatt-hours a year.
With the planning of this plant, we did a lot of thinking about the optimal location for the panels. A lot of different factors play a role in this process. Firstly, it is the condition of the roof itself. Some have superstructures and some need to be reconstructed prior to installing a solar plant. We can settle these questions by looking at aerial images or inspecting the roofs.
Often, we find additional negative influences like the trees to the south at this roof right here, which force us to cautiously take care of shadowing effects within the detailed planning.
This means we have to balance the size of the plant considering economic sense, because shadowing reduces the performance of the panels.
There are methods to calculate the influence of shadows which can help us with this weighting. This is very import, because reduced power output is directly falling back to us as plant operators. We have to ensure the economic efficiency is guaranteed over the service life of the plant. As you can imagine, it would be a great problem for us if we placed the panels in the shadow.
This is why we thought a lot about shadowing effects in the first place. Here, laser scanning could have been an additional improvement since common shadow analyses methods mostly don’t consider the third dimension of objects. So with those trees for example, it is almost impossible to recreate the permeability for sunlight without 3D-models. There is commercial software for these purposes, but we used a self-programmed tool to calculate the shadowing influences. But I guess most of them reach their limits when it comes to dealing with vegetation, especially since its permeability is depending on the season.
Ich hatte vor einem halben Jahr schon mal einen ähnlichen Thread erstellt, in dem ich Sprecher für ein Uni Projekt gesucht habe - und jetzt muss ich nochmal eines machen und würde mich wieder über 2 Sprecher freuen!
Es geht um ein geographisches Projekt der Universität Heidelberg, das sich mit Laser Scanning befasst. Ich bräuchte quasi einen "Erzähler", der den Hauptteil macht und jemanden, der ein Interview einspricht. Letzterer müsste männlich sein, beim Erzähler spielt das keine Rolle
Die Texte sind englisch, also sollten die Sprecher ganz gut im englisch sprechen sein.
Ich würde mich freuen, wenn sich jemand finden würde!
Vielen Dank,
Michael
Hier mal der Erzählertext:
--------------
The potential of solar energy for generating almost emission free and sustainable energy has been known and used for decades. But with the rise of anthropogenic influenced climate change and nuclear catastrophes like Fukushima, some states like Germany have decided to alter their energy supply plans from conservative to alternative, or green, energy technologies. This has pushed the renewable energy economies and research a lot.
Most of us are used to the views of solar fields and single plants on private roof tops. But especially big institutions like the University of Heidelberg have enormous energy consumption through numerous laboratories and huge scientific machines like particle accelerators or medical technologies. In 2012, the university had an energy consumption of 43 Giga watts per hour and spent 6.5 million euros on electricity. The part of the alternative energies of the whole mix lies at least at about 35%. Some of this comes from solar plants that have been installed on the rooftop of the institute of chemistry. With the highest energy consumption between 11 am and 15 am, solar plants can help stem the need at the university in the most critical parts of the day.
The performance of such plants could be increased through better planning and calculating factors such as shadows. Recently, scientists strive to fulfill those tasks by developing new methods to calculate the course of the sun and its dependent shadow to maximize the benefit of solar plants.
Some of these scientists are from the Department of Geography from Heidelberg University. They use modern technologies like Laser scanning, also called Lidar (sprich: leidar), short for light detection and ranging, to produce high detailed 3D-models of the environment. Laser Scanners work by sending out pulses of infrared laser light. Whenever the light hits a surface, a portion of it is reflected to the scanner, which calculates the distance to the object and produces a point cloud of millions of coordinates that merge to a 3D model of the scanned area. With those models, various analyses can be processed, for example simulating shadows cast by nearby trees that could cover solar plants and diminish the performance.
Together with students, the Heidelberg Geographers developed a tool to calculate the path of the sun throughout the day and the year, based on a C++ (sprich: Si plass plass ;-)) algorithm. It uses a common raster satellite image and a digital elevation model of the study area as input. With this 2.5D information, they can create a 3D Model of a line segment and calculate the solar radiation on its surface. This can then be used in common GIS software to determine optimal areas and orientation angles to maximize solar panel performance.
Those algorithms can also be used in laser scanning point clouds to compute the path of a shadow like in this example. Throughout one day, the single shadows have been calculated in a 3D model of a tree. This approach could be applied for numerous studies that depend on the course of the sun and the cast shadows. With this method for instance, the influence of the surrounding trees on the roof top at the University of Heidelberg could have been simulated.
Among others, one study that relies on this approach as well is the idea to utilize highway noise barriers for solar panels. Since these objects are already widely present, the idea seems likely to use them for this purpose. But not every part of those barriers is suitable for solar panels. Sometimes, nearby objects cast shadows or the orientation of the walls towards the sun is not ideal. With point clouds, those negative effects can be calculated precisely, even if there is no barrier yet. The solar potential output can then be integrated in common GIS software and used for further analyses. One disadvantage of this approach so far is the little availability of 3D point clouds. So it is still not possible to make extensive calculations for large regions without previous data collection.
But the applicability of such tools goes even beyond the mere calculation of optimal places for solar panels. A new approach tries to improve the predictability of hedonic real estate price models based on solar income. Normally, the value of a property depends on factors like location, living space or furnishing and the hedonic approach tries to predict this value based on already placed sales. Here, laser scanning has been used to calculate how much sunshine a flat receives throughout the day depending on nearby shadowing buildings or vegetation. For the first time, this can be computed for the third dimension and is thus much more reliable since the amount of solar income depends highly on the height above the ground.
The amount of solar radiation in turn determines running costs and increases awareness of life. Consequently, owners of sun-drenched flats should be willing to pay more for their property. Since those analyses can be produced for each flat separately, this method provides a significant improvement of hedonic real estate price models.
----------------
Der Interviewtext:
-----------------
We installed two plants at the university in 2011, the one you can see here and another one at the institute of sports. This is a photovoltaic system, which is also indicated by the blue color of the silicon. The plants are like tubs and are simply placed on the roof, but not anchored.
When sunlight falls on the panels, the photovoltaic effect is induced, which initiates a flow of electrons that is collected from the single modules. This direct current is then led to the inverter and converted to alternating current, which is also what we get from our sockets at home. Afterwards, it is fed to the institutes’ power supply system.
For this plant, which reaches a peak of 72 kilowatt-hours, we had to pay about 150 thousand euros.
We can assume that we have a solar radiation of about 1000 kilo watts per square meter in Heidelberg over one year. That means that you get about 1000 kilowatt-hours per year. So on balance, this plant produces about 70000 kilowatt-hours a year.
With the planning of this plant, we did a lot of thinking about the optimal location for the panels. A lot of different factors play a role in this process. Firstly, it is the condition of the roof itself. Some have superstructures and some need to be reconstructed prior to installing a solar plant. We can settle these questions by looking at aerial images or inspecting the roofs.
Often, we find additional negative influences like the trees to the south at this roof right here, which force us to cautiously take care of shadowing effects within the detailed planning.
This means we have to balance the size of the plant considering economic sense, because shadowing reduces the performance of the panels.
There are methods to calculate the influence of shadows which can help us with this weighting. This is very import, because reduced power output is directly falling back to us as plant operators. We have to ensure the economic efficiency is guaranteed over the service life of the plant. As you can imagine, it would be a great problem for us if we placed the panels in the shadow.
This is why we thought a lot about shadowing effects in the first place. Here, laser scanning could have been an additional improvement since common shadow analyses methods mostly don’t consider the third dimension of objects. So with those trees for example, it is almost impossible to recreate the permeability for sunlight without 3D-models. There is commercial software for these purposes, but we used a self-programmed tool to calculate the shadowing influences. But I guess most of them reach their limits when it comes to dealing with vegetation, especially since its permeability is depending on the season.
