An algorithm for optimal management of aggregated HVAC power demand using smart thermostats

Rajendra Adhikari, M. Pipattanasomporn and S. Rahman

Applied Energy, 2018, vol. 217, issue C, 166-177

Abstract: This paper presents an algorithm for optimal management of aggregated power demand of a group of heating, ventilating and air-conditioning (HVAC) units. The algorithm provides an advanced direct load control mechanism for HVACs that leverages the availability of smart thermostats, which are remotely programmable and controllable. The paper provides a theoretical basis and an optimal solution to the problem of cycling a large number of HVAC units while respecting customer-chosen temperature limits for the purpose of maximum load reduction. The problem is presented in a new light by transforming it into a job scheduling problem and is solved using a combination of a novel greedy algorithm and a binary search algorithm. By leveraging widespread availability of smart internet-based (also referred to as IoT-based) thermostats in today’s environment, the proposed approach can be readily applied to residential buildings without additional electrical/IT infrastructure changes.

Keywords: Direct load control; Demand response; HVAC control; IoT-based thermostats (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (26)

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DOI: 10.1016/j.apenergy.2018.02.085

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