@misc{10481/55178,
year = {2018},
month = {8},
url = {http://hdl.handle.net/10481/55178},
abstract = {This paper introduces the concept of Comfort as a Service (CaaS), a new energy supply
paradigm for providing comfort to residential customers. CaaS takes into account the available
passive and active elements, the external factors that affect energy consumption and associated
costs, and occupants’ behaviors to generate optimal control strategies for the domestic equipment
automatically. As a consequence, it releases building occupants from operating the equipment,
which gives rise to a disruption of the traditional model of paying per consumed energy in favor
of a model of paying per provided comfort. In the paper, we envision a realization of CaaS based
on several technologies such as ambient intelligence, big data, cloud computing and predictive
computing. We discuss the opportunities and the barriers of CaaS-centered business and exemplify
the potential of CaaS deployments by quantifying the expected energy savings achieved after limiting
occupants’ control over the air conditioning system in a test scenario.},
organization = {This research was partially funded by EU-FP7 (Energy IN TIME project, Grant Agreement No. 608981),
the Spanish Government (TIN2015-30939 project) and Universidad de Granada (Young Researchers Fellowship,
No. P9-2014-ING).},
publisher = {MDPI},
keywords = {Comfort as a service},
keywords = {Energy management},
keywords = {Building control},
keywords = {Big data},
keywords = {Ambient intelligence},
title = {Comfort as a Service: A New Paradigm for Residential Environmental Quality Control},
author = {Gómez Romero, Juan and Molina Solana, Miguel José and Ros, María and Ruiz Jiménez, María Dolores and Martín Bautista, María José},
}