Computational tools for digital transformation can be used to collect, store, manage, analyse, and visualise spatial data. These technologies can be used to increase the efficacy and efficiency of a variety of tasks, including resource management, planning, and decision making. Computational technologies can help expand the functionality of Geographic Information Systems (GIS), a strong tool for spatial analysis. Further, these tools can be used to combine data from many sources, automate processes, and create novel analytical techniques.
Why Do Commercial Firms Open the Source Code of Their Products
This paper is concerned with the economic trade-offs associated with open-sourcing, the business strategy of releasing the source code of a commercial software product. We model open-sourcing as a strategic option for firms that compete in the market for software products. At the core of our model is the effect of open-sourcing on customer values, as well as the relative ease of customizing the open-source products.We show that open-sourcing can arise as an equilibrium outcome in our two-stage game.
SERIIUS
Solar Energy Research Institute for India and the United States (SERIIUS) is a joint research consortium for clean energy research. It was announced under the flagship programme Partnership to Advance Clean Energy (PACE) by former US President Barack Obama and former Indian Prime Minister Manmohan Singh, in November 2009. The Department of Energy (DOE, US) and the Department of Science and Technology (DST, Govt.
Mean Line Design of Radial Inflow Turbine for sCO2 Power System
Closed Loop Brayton cycle power plants using supercritical carbon dioxide (sCO2) have drawn the attention of many researchers in recent times. In this power plant (using heat source from either solar or nuclear),one of the main challenges is the design of the prime mover, namely the turbine. Radial Inflow Turbine (RIT) is found to be a suitable candidate as it has many advantages over Axial Flow TurbinesTechnologies used for the design of RIT for air Brayton cycle are well established.
Techno-Economic Analysis of Stand-alone Solar PV and Battery-based Micro-grids in Karnataka
Access to electricity can bring about a transformative change in the economic conditions and growth of any country. Decentralised solar energy solutions like solar lanterns, solar home lighting systems, rooftop Photovoltaic (PV) systems, and solar micro-grids and mini-grids have been in use for quite some time. In this study, for select sites considered in Karnataka, we analysed the feasibility of Solar PV Micro Grids (SPVMGs), considering its potential as a promising solution for electrifying rural homes and villages.
Techno-Economic Assessment of a Low-Temperature Solar Organic Rankine Cycle System
For the last couple of years, photovoltaics (PV) has been the preferred choice of technology for harnessing solar energy against Concentrated Solar Power (CSP). The major issue bogging down CSP is that it is not economical as compared to PV. Emerging technologies such as s-CO2 and Organic Rankine Cycle (ORC) could be the saviour for CSP going forward. To understand the techno-economics of a solar-ORC system, CSTEP and Indian Institute of Science (IISc), under SERIIUS project, worked together in assessing a low-temperature solar ORC system for off-grid applications.
The flip side of metcalfe's law: multiple and growing costs of network exclusion
The study of networks has grown recently, but most existing models fail to capture the costs or loss of value of exclusion from the network. Intuitively, as a network grows in size and value, those outside the network face growing disparities. We present a new framework for modeling network exclusion, showing that costs of exclusion can be absolute, and might, at the extreme, eventually grow exponentially, regardless of underlying network structure.