Avik Ghosh

Avik Ghosh
University of California, San Diego | UCSD · Department of Mechanical and Aerospace Engineering (MAE)

Ph.D. Candidate (UC San Diego); B.Tech (IIEST Shibpur)

About

11
Publications
1,862
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
94
Citations
Introduction
I am highly interested in the field of renewable energy technologies, particularly solar photovoltaic and thermal engineering. My present work involves applying techniques from optimization and control for renewable energy integration into the electricity grid. There is also an emphasis on optimal dispatch of batteries and smart EV scheduling. I also have a deep interest in solar thermal cooling, thermal energy storage, HVAC-R, cogeneration and heat transfer.
Additional affiliations
July 2015 - July 2019
Indian Institute of Engineering Science and Technology, Shibpur
Position
  • Student
Education
October 2019 - June 2024
University of California, San Diego
Field of study
  • Mechanical and Aerospace Engineering
July 2015 - April 2019

Publications

Publications (11)
Article
In this paper, a novel scheme of a partially closed solar regenerated liquid desiccant assisted evaporative cooling system has been proposed. The objective of the system is to provide suitable conditions inside greenhouses for cultivation of high value temperate crops like lettuce throughout the year in hot and humid climates of tropics and subtrop...
Article
In this paper, we provide thermal analysis and design methodology of a liquid desiccant assisted dew point indirect evaporative cooling system. The purpose of the system is to serve as an alternative for conventional vapour-compression based building air conditioning systems in providing satisfactory human thermal comfort conditions in the hot and...
Article
Full-text available
Electric vehicle (EV) penetration has been increasing in the modern electricity grid and has been complemented by the growth of EV charging infrastructure. This paper addresses the gap in the literature on the EV effects of total electricity costs in commercial buildings by incorporating V0G, V1G, and V2B charging. The electricity costs are minimiz...
Conference Paper
The recent increase in the intermittent variable renewable energy sources (VRES) results in mismatches between demand and supply that can cause grid instability. These issues can be mitigated with battery energy storage systems (BESS). However, BESS are generally dispatched conservatively to manage uncertainties in VRE forecast. Therefore, this pap...
Article
Full-text available
This work proposes a novel EV forecasting technique that predicts each EV’s arrival time (AT), energy demand (ED) and plug duration (PD) over the course of a calendar day using a hybrid machine learning (ML) forecast. The ML forecasts as well as persistence forecasts are then input in a model predictive control (MPC) algorithm that minimizes the el...
Preprint
Monthly demand charges form a significant portion of the electric bill for microgrids with variable renewable energy generation. A battery energy storage system (BESS) is commonly used to manage these demand charges. Economic model predictive control (EMPC) with a reference trajectory can be used to dispatch the BESS to optimize the microgrid opera...
Conference Paper
Full-text available
Efficient electrification of space heating/cooling presents the most viable pathway to GHG emissions reduction, and heat pumps (HPs) remain the dominant alternative for replacing gas/oil-based space heating systems. To achieve widespread adoption of HPs, it is imperative to improve their energy efficiency and operational cost. In this paper, a scal...
Preprint
Full-text available
Chance constrained stochastic model predictive controllers (CC-SMPC) trade off full constraint satisfaction for economical plant performance under uncertainty. Previous CC-SMPC works are over-conservative in constraint violations leading to worse economic performance. Other past works require a-priori information about the uncertainty set, limiting...
Article
Full-text available
Open-source, high resolution power consumption data are scarce. We compiled, quality controlled, and released publicly a comprehensive power dataset of parts of the University of California, San Diego microgrid. The advanced microgrid contains several distributed energy resources (DERs), such as solar power plants, electric vehicles, buildings, a c...
Article
Full-text available
In this paper, exergy analysis of a novel solar powered liquid desiccant assisted air conditioning system is presented and simulated. The system aims to provide suitable thermal comfort conditions inside large office buildings with high internal loads situated in the hot and humid tropical/subtropical countries of the world. The system consists of...
Conference Paper
Full-text available
A scheme of a partially closed solar regenerated desiccant assisted evaporative cooling system has been proposed for the cultivation of temperate crops like lettuce in hot and humid climates. The partially closed system re-circulated a fraction of return air from the greenhouse and ventilated a certain amount of ambient air. A thermal model has bee...

Network

Cited By