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By contrast, thin-film cells are cheap to produce, and the only factor limiting their shape is the substrate they are mounted on. This means that you can create large cells, and cells of different shapes and sizes, all of which can be useful in certain applications. We are now going to take a detailed look at making two different types of solar cell, one will be a crystalline solar cell, and the other a thin-film solar cell. Both of the experiments are designed to be illustrative, rather than to actually make a cell with a useful efficiency. The technology required to make silicon solar cells is out of the reach of the home experimenter, so we are going to illustrate the process of how a solar cell is made, using things you can find in your kitchen. For thin-film solar cells, we are going to make an actual solar cell, which responds to light with changing electrical properties; however, the efficiency of our cell will be very poor, and it will not be able to generate a useful amount of electricity.

NOTE: The swap size cannot be changed during filesystem layout. Enter a swap partition size between 384MB and 1865MB, default = 512MB [ ]

You are then asked to confirm that the swap slice can be installed at the beginning of the partition:

The Installer prefers that the swap slice is at the beginning of the disk. This will allow the most flexible filesystem partitioning later in the installation. Can the swap slice start at the beginning of the disk [y,n, ,q]

After you create the swap partition, the other slices can be created on the target disk, because the installation program requires a UFS to install correctly. However, the system must first be rebooted to perform the disk layout:

3:

Part VI:

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In this section we are going to look at how photovoltaic cells (PV) are made. However, rather than taking a dull, textbook approach, we are going to make the whole process fun by doing some practical kitchen experiments that mimic the process that happens in solar cell factories all around the world.

for a Z80 processor were completely different from those for a 2650 CPU This made it difficult for programmers to transfer their skills to other systems A third level of abstraction was realized by early application development languages like C, in which the original UNIX kernel and, later, the Solaris kernels were written Although C can contain inline assembly language, it was designed to be independent of the CPU on which its compiled instructions are executing A compiler translates the English-like instructions written into binary code for a specific CPU, but the actual C source code is highly portable: as long as the program was written to conform to the ANSI standard for C, and as long as a compiler exists for the target platform, the source of a C application can be copied to that platform, compiled, and executed.

C++ is a language based around C that has object-oriented data structures, which, at the time of its introduction, improved design processes and made implementation of complex software easier However, this ideal was far from the reality: differences in C and C++ compilers across vendors made it very difficult to maintain compatibility, particularly with the rise of graphical user interfaces (GUIs) GUIs had to deal with creating binary code not only for different CPU types, but also for the broad spectrum of display devices on the market, which had little in common with each other Particularly in the 1980s and early 1990s, it became fashionable to ditch cross-platform products like C to focus specifically on application development for a particular platform.

For example, Microsoft developers used Visual Basic to create applications that would run only on the Microsoft Windows or MS-DOS platforms, and UNIX developers wrote applications for the X11 environment that were not necessarily designed to be cross-platform Although these applications worked well for their target environments, it also meant that markets for software were constrained by the development platform Many excellent desktop products never made it to UNIX, and several well-known data processing systems were unable to run on Windows This situation seemed to reflect the frustration felt when development was performed using assembly language: different codebases were required for the same product on different platforms, and a separate development team was required for each platform.

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