Smart transportation: Making simplicity possible.

The smart data platform elevates the efficiency of public transport: empowering the passengers to go to places much faster & cheaper, allowing drivers to earn more, and the society to run smoother with significant reductions in carbon emission.

Air quality sensor network.

Data-driven policies to effectively clean up the air will require monitoring infrastructures to reliably measure indoor air quality, urban outdoor air quality, and inter-regional transport of air pollutants.

Urban air pollution caused by fossil fuel consumption. Images A and B depict the air pollution levels in New York City in 1953 and Beijing in 2013.

The worsening urban air quality in China is largely driven by its rapid increase in fossil fuel consumption, such as coal (C) and oil (E). Coal is the primary energy source for electricity generation in China (D), and the ownership of automobiles in major Chinese cities have more than doubled over the past decade (F).

Source: Cheng Zheng,
Innovation in Photovoltaic Science, Engineering, and Policy: A Potential Trillion-Dollar Global Industry for Sustainable Energy, Ch1 (2014).

Solar PV big open data platform.

An open data platform for installed solar PV systems can revolutionize the financing of distributed PV systems, directly linking the (retail) investors and the PV system “owners”.

The world’s energy consumption is currently dominated by fossil fuel sources: about 87% of the 12.7 billion tons of oil equivalent (ton) of primary energy consumption in 2013 is from coal, oil, and natural gas.

This heavy reliance on fossil fuels in the current global energy landscape has important implications on the climate change dialogue. Without low-carbon and affordable energy sources, such as non-hydro renewable energy (renewables), hydro-electricity, and nuclear-electricity, there will be unavoidable conflict between mitigating energy-related CO2 emissions and accommodating the developing countries’ growing energy needs.