Abstract
With the increasing demand for energy in day-to-day life, the need for integrating renewable energy is growing. In this paper, we take a step in addressing this challenge by employing solar photovoltaic (PV) energy to maintain indoor temperatures in buildings. The objective we aim to meet is to consume as much of the generated PV energy as possible locally while maintaining the indoor comfort temperatures. We set this objective to reduce wastage of renewable energy and cut down the need for storage devices. We formulate a thermal model of the building Heating Ventilation and Air Conditioning (HVAC) system and employ the model-free control (MFC) technique to achieve the defined objective. Simulation results illustrate that the performance of the MFC technique, in terms of indoor temperature and total energy consumption tracking errors, is comparable with that of the recently developed augmented model predictive control technique. In addition, the MFC is computationally light and easily deployable on small embedded devices. Furthermore, we analyze the relationship between the generated PV energy and the required energy consumption of the buildings, and the results show that this relationship is linear, indicating that the developed framework can be directly implemented for a certain number of buildings given an arbitrary PV profile.
Original language | English |
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Title of host publication | 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 9781538667057 |
DOIs | |
State | Published - Aug 27 2018 |
Event | 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018 - Charlotte, United States Duration: Jun 25 2018 → Jun 28 2018 |
Publication series
Name | 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018 |
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Conference
Conference | 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018 |
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Country/Territory | United States |
City | Charlotte |
Period | 06/25/18 → 06/28/18 |
Funding
This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. 978-1-5386-6705-7/18/$31.00 ©c 2018 IEEE ACKNOWLEDGEMENTS This material is based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, the SunShot National Laboratory Multiyear Partnership (SuNLaMP) program. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paidup, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan, http://energy.gov/downloads/ doe-public-access-plan.