According to news reports in June, Harvard's Clean Energy Project (CEP) plans to release to organic solar cell developers a list of the top 20,000 organic compounds that could be used to make higher perfromance organic photovoltaic cells.
The list has been reduced from about seven million organic molecules that a "crowdsourcing" style project has been crunching daily over the past two-plus years.
The Clean Energy Project uses the computing resources of IBM's World Community Grid for the computational chemistry to find the best molecules for organic photovoltaics. IBM's World Community Grid allows anyone who owns a computer to install secure, free software that captures the computer's spare power when it is on and idle. By pooling the surplus processing power of about 6,000 computers around the world, the Clean Energy Project has been able to come up with a list of organic photovoltaics that could be used to create inexpensive solar cells. The computations also look for the best ways to assemble the molecules to make those devices.
Alan Aspuru-Guzik, an associate professor of chemistry and chemical biology at Harvard, said, "We're in the process of wrapping up our first analysis and releasing all the data very soon."
According to Alan - computational chemists typically calculate the potential for photovoltaic efficiency one organic molecule at a time. Over the past few years, computational chemists have identified a few organic compounds with the potential to offer around 10% energy conversion levels. "But that's only two or three" said Alan,However, "Through our project, we've identified 20,000 of them at that level of performance." In fact, Clean Energy Project's list of molecules include some that have upwards of 13% power conversion efficiency rates.
The computing resources from IBM's World Community Grid are split for the Clean Energy Project. Some of the computers in the grid are making mechanical calculations of molecular crystals, thin films and molecular and polymer blends; others are making electronic structure calculations to determine the relevant optical and electronic transport properties of the molecules.
Harvard has also constructed significant data storage facilities to capture the results of the computations. Each molecular computation produces on average about 20MB of data. In total, the global grid computing architecture generates about 750GB of data per day. So far, the data has grown to about 400TB.
Harvard has filled racks of servers with 4U-high hard drive arrays. Each array is filled with 45, 7200rpm 3TB hard drives from Western Digital subsidiary HGST.
Alan Aspuru-Guzik, said, "The data we're creating will ultimately benefit mankind with cleaner energy solutions." Alan added, "Accordingly, we designed our Jabba storage arrays with built-in redundancies. But the key to the arrays' performance is the use of reliable, high-capacity, and low-power storage from HGST. We've filled nearly 150 HGST drives to this point and are currently building Jabba 5 and 6 to handle the enormous amount of data generated for the project."
Source: Clean Energy Project
