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Indrajit Das

dblp:156/8520 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2019
0000-0002-2373-8150ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids
microgrid
0.412019
Renewable Energy Integration in Diesel-Based Microgrids at the Canadian Arctic · Proc. IEEE 2019
Energy systems and smart grids › renewable energy
renewable energy integration
0.412019
Renewable Energy Integration in Diesel-Based Microgrids at the Canadian Arctic · Proc. IEEE 2019

Methods — techniques the papers use, named apart from their topics

technoeconomic feasibility analysis · 0.4optimization model · 0.4
YearPublicationVenuePosition
2019 Systematic Generation of Flicker and Thermal Noise Canceling Circuits
abstract
A generic noise model is derived from the existing thermal noise canceling circuits and is used to generate two transistor circuits exploiting flicker and thermal noise cancellation. In radio frequency (RF) circuit applications, thermal noise cancellation is often used to break the trade-off between input match and noise figure (NF). In this work, noise canceling amplifiers and buffers with high input impedance are generated. Noise canceling conditions are derived for three newly generated circuits and verified through simulations. These three new noise canceling circuits are a balun amplifier, a fully differential amplifier, and a fully differential buffer.
Indrajit Das, Nagarjuna Nallam
ISCAS1
2019 Renewable Energy Integration in Diesel-Based Microgrids at the Canadian Arctic
abstract
The effect of climate change is significant in the arctic regions of the world, with the carbon footprint from diesel-only based electricity generation in remote arctic communities adding to the environmental degradation through greenhouse gas (GHG) emission, oil spills, and black carbon. Moreover, the dependence on diesel and its associated costs are an economic problem for these communities, particularly in the Canadian Arctic, where governments subsidize this fuel. Thus, this article presents specific studies including new variable-speed generator (VSG) technologies that demonstrate the feasibility, impact, and benefits of introducing renewable energy (RE) together with VSGs in remote microgrids in the Canadian Arctic. More specifically, this article describes a two-step procedure to select remote communities for detailed feasibility studies of deployment of RE sources, including a generation expansion planning (GEP) framework and optimization model for RE and new VSG integration applied to the selected communities, to minimize diesel dependence of isolated microgrids and maximize the incorporation of environmentally friendly generation technologies. The proposed approach is applied to communities in Nunavut and the North West Territories in the Canadian Arctic, based on actual data, to study the technoeconomic feasibility of RE integration and develop business cases for diesel generation replacement with RE and VSG generation in these communities. The obtained optimal plans contain diesel-RE hybrid combinations that would yield substantial economic savings and reductions on GHG emissions, which are being used as the base for actual deployments in some of the studied communities.
Indrajit Das, Claudio A. Cañizares
Proc. IEEE1