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Category: solar power – Page 154

CT Cosmos to Set up $150m Solar Power Project in Plateau

Good; more opportunity for the region.

Seriki Adinoyi in Jos.

Panyam community of Mangu local government area of Plateau State came up alive at the weekend as they came out enmasse to receive CT Cosmos Nigeria Limited, a subsidiary of Communication Towers Ltd, which has indicated interest in establishing a massive Solar plant power project of over $150 million in the community.

The Chief Operating Officer of CT Cosmos, Mr. Henry Opara, who led a delegation of the company to meet with the community at the Monarch’s palace, noted that the over 70 megawatts that would be generated by the solar plant will be sufficient to sustain Plateau and neighbouring states when completed.

Robotic in orbit assembly of massive sails and laser propulsion elements for fast travel anywhere in the solar system and beginner interstellar capability

Robotic in orbit assembly and laser propulsion could enable vast increases in space capability while not significantly changing the world civilization energy budget.

Robotic and additive manufacturing could enable massive frames and massive solar power arrays.

Tethers Unlimited is currently developing a revolutionary suite of technologies called “SpiderFab” to enable on-orbit fabrication of large spacecraft components such as antennas, solar panels, trusses, and other multifunctional structures. SpiderFab provides order-of-magnitude packing- and mass- efficiency improvements over current deployable structures and enables construction of kilometer-scale apertures within current launch vehicle capabilities, providing higher-resolution data at lower life-cycle cost.

Using machine learning to rationally design future electronics materials

Even if we don’t create a true AI for a thousand years, these algorithms, pared with our exponentially increasing computing power, could have much of the same effect on our civilization as the more traditional, AI-centric type Singularity. Very, very soon.

A schematic diagram of machine learning for materials discovery (credit: Chiho Kim, Ramprasad Lab, UConn)

Replacing inefficient experimentation, UConn researchers have used machine learning to systematically scan millions of theoretical compounds for qualities that would make better materials for solar cells, fibers, and computer chips.

Led by UConn materials scientist Ramamurthy ‘Rampi’ Ramprasad, the researchers set out to determine which polymer atomic configurations make a given polymer a good electrical conductor or insulator, for example.

A polymer is a large molecule made of many repeating building blocks. The most familiar example is plastics. What controls a polymer’s properties is mainly how the atoms in the polymer connect to each other. Polymers can also have diverse electronic properties. For example, they can be very good insulators or good conductors. And what controls all these properties is mainly how the atoms in the polymer connect to each other.

Solar micro-grids launched in three remote villages

The three solar micro-grids, with combined capacity of 35 kilowatts, were installed in the communities of Harkapur in Okhaldhunga district, and Kaduwa and Chyasmitar in Khotang District, as per a statement issued today. They will provide a 24-hour reliable electricity supply to around 540 people in 83 households and 25 local businesses.

“Nearly a quarter of Nepal’s population has no access to electricity and rely heavily instead on kerosene in particular. Since most of them live in remote areas, there is little possibility of connecting to the national power grid in the near future,” said Jiwan Acharya, senior energy specialist at the Asian Development Bank (ADB). “The solar micro-grids that we are piloting here provide a clean, cost-effective, local solution involving private sector that will change the lives of these communities and serve as a model for other far-flung villages.”

Electricity costs for households are forecast at $4 to $6 per month. Currently households relying on kerosene for lighting alone, can pay up to $10 a month. And by using solar power rather than fossil fuels, the project will avoid 41 tonnes of carbon dioxide emissions every year.

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