Decision analytics in energy systems : from thermal grids to power grids
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Authors
Bhattacharya, Saptarshi
Issue Date
2018-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Electrical engineering
Alternative Title
Abstract
In the third part of the work, we shift our focus from thermal grids to power grids. Heating, Ventilation and Cooling (HVAC) systems constitute a significant portion of the power grid demand in USA. Optimal management of this energy consumption in the HVAC systems is hence, of utmost importance in the present context. We consider the electricity aggregator's (load serving entity's) problem of centrally optimizing the HVAC energy usage in buildings under its purview, with an aim of reducing the energy usage cost. While doing so, we ensure that the indoor zone temperatures of energy consumers in these buildings remain within some specific user-defined comfort bounds. We propose a low complexity optimal control approach to solve this classical research problem by optimally using the building thermal mass as a demand response resource. We show that under some assumptions, it is possible to express the cost-optimal precooling times for building HVAC units in closed form. We validate our algorithm using data from the electricity markets in New York and Texas.
Description
August 2018
School of Engineering
School of Engineering
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY