Inverted HVAC

Author:

Abbas Samar1,Bakar Abu1,Chandio Yasra1,Hafeez Khadija1,Ali Ayesha2,Jadoon Tariq M.3,Alizai Muhammad Hamad1ORCID

Affiliation:

1. Department of Computer Science, LUMS, Pakistan

2. Department of Economics, LUMS, Pakistan

3. Department of Electrical Engineering, LUMS, Pakistan

Abstract

Emerging countries predominantly rely on room-level air conditioning units (window ACs, space heaters, ceiling fans) for thermal comfort. These distributed units have manual, decentralized control leading to suboptimal energy usage for two reasons: excessive setpoints by individuals and inability to interleave different conditioning units for energy savings. We propose a novel inverted HVAC approach: cheaply retrofitting these distributed units with “on-off” control and providing centralized control augmented with room and environmental sensors. Our binary control approach exploits an understanding of device consumption characteristics and factors this into the control algorithms to reduce consumption. We implement this approach as H awadaar in a prototype 180ft 2 room to evaluate its efficacy over a 7-month period experiencing both hot and cold climates. Through a post analysis, we show that our on-off algorithms are not far from a theoretically optimal approach based on a priori information that precisely knows the optimal control points to minimize consumption. We collect enough evidence to plausibly scale our empirical evaluation, demonstrating countrywide benefits: with just 20% market penetration, H awadaar can save up to 6% of electricity per capita in residential and commercial sectors—resulting in a substantial countrywide impact.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference36 articles.

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2. Poster Abstract

3. Non-Intrusive Techniques for Establishing Occupancy Related Energy Savings in Commercial Buildings

4. ASHRAE. 2010. Thermal environmental conditions for human occupancy standard 55. Retrieved from http://arco-hvac.ir/wpcontent/uploads/2015/11/ASHRAE-55-2010.pdf. ASHRAE. 2010. Thermal environmental conditions for human occupancy standard 55. Retrieved from http://arco-hvac.ir/wpcontent/uploads/2015/11/ASHRAE-55-2010.pdf.

5. Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control

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