scispace - formally typeset
T

T.K. Gogoi

Researcher at Tezpur University

Publications -  44
Citations -  925

T.K. Gogoi is an academic researcher from Tezpur University. The author has contributed to research in topics: Exergy & Exergy efficiency. The author has an hindex of 15, co-authored 38 publications receiving 647 citations.

Papers
More filters
Journal ArticleDOI

A cycle simulation model for predicting the performance of a diesel engine fuelled by diesel and biodiesel blends

TL;DR: In this paper, a cycle simulation model incorporating a thermodynamic based single zone combustion model is developed to predict the performance of diesel engine and the effect of engine speed and compression ratio on brake power and brake thermal efficiency.
Journal ArticleDOI

Biodiesel production from Kutkura (Meyna spinosa Roxb. Ex.) fruit seed oil: Its characterization and engine performance evaluation with 10% and 20% blends

TL;DR: In this paper, Kutkura fruit seed oil was used for biodiesel production and compared with other tree seed-based biodiesels, which contained 7.187% palmitic, 5.382% stearic, 30.251% oleic and 52.553% linoleic acid.
Journal ArticleDOI

The use of Koroch seed oil methyl ester blends as fuel in a diesel engine

TL;DR: In this paper, an experimental investigation was carried out on a small direct injection (DI) diesel engine, fuelling the engine with 10% (B10), 20%, 20%, 30%, 30% and 40% blending of Koroch seed oil methyl ester (KSOME) with diesel.
Journal ArticleDOI

Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study

TL;DR: In this article, the authors compared four different architectures of organic Rankine cycle (ORC) from the exergoeconomy viewpoint, namely, the Basic ORC, Recuperative ORC (ROC), Regenerative-Regenerative (RRC), and RR-ORC, using Pareto Envelope-based Selection Algorithm-II (PESA-II) with exergy efficiency and the system cost rate as the objective functions.
Journal ArticleDOI

Exergy analysis of a H2O–LiCl absorption refrigeration system with operating temperatures estimated through inverse analysis

TL;DR: In this paper, the operating temperatures of a H2O-LiCl vapor absorption refrigeration system (VARS) were first estimated using an inverse technique with weak solution concentration as objective function and a differential evolution (DE) optimization algorithm for objective function minimization.