2017
DOI: 10.2991/ijcis.2017.10.1.59
|View full text |Cite
|
Sign up to set email alerts
|

Decision Support for Intelligent Energy Management in Buildings Using the Thermal Comfort Model

Abstract: The main objective of this paper is to present a transparent Decision Support System (DSS) for the energy managers of buildings, which can assist them in setting indoor temperature set point, based on the feedback received by the occupants. Within the proposed DSS, the Thermal Comfort Validator (TCV) tool is introduced, a fully responsive and cross-platform web-app which exploits the Predicted Mean Vote comfort theory by considering real-time feedback of the occupants. The TCV facilitates the detection of the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
16
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 26 publications
(16 citation statements)
references
References 16 publications
0
16
0
Order By: Relevance
“…Today's ORs are supported by advanced technology that allow for the automatic adjustment of air temperature, air quality, fresh air supply, and the removal of internal contaminants. Some of these technological devices have decision support systems equipped with temperature and humidity indicators that simulate perioperative personnel . However, the failure of such systems and aging of ventilation systems can lead to problems in ORs .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Today's ORs are supported by advanced technology that allow for the automatic adjustment of air temperature, air quality, fresh air supply, and the removal of internal contaminants. Some of these technological devices have decision support systems equipped with temperature and humidity indicators that simulate perioperative personnel . However, the failure of such systems and aging of ventilation systems can lead to problems in ORs .…”
Section: Discussionmentioning
confidence: 99%
“…Some of these technological devices have decision support systems equipped with temperature and humidity indicators that simulate perioperative personnel. 6,56 However, the failure of such systems and aging of ventilation systems can lead to problems in ORs. 6 In our study, participants reported that suboptimal thermal conditions led to problems, such as diminished work performance and health concerns.…”
Section: Discussionmentioning
confidence: 99%
“…However, although there are several IT tools that support cities as well as methodologies for better energy management, research to date has shown the absence of a number of important components related to energy management and energy saving at the level of building infrastructure. Studying and evaluating the methodologies and tools developed to date in support of Smart Cities shows that most of them (Papastamatiou et al 2017a;Marinakis et al 2017): (a) do not reflect the current performance of smart cities; (b) do not monitor the process of change in a Smart City by checking the efficiency of the city in achieving the set goals; (c) do not evaluate how smart the city is based on objective indicators; (d) do not enable comparison between smart cities and possibly classification; (e) do not propose energy saving solutions; and (e) do not combine data from different sources and usually do not take into account in their calculations user data.…”
Section: Need For Energy Smart Cities Urbanizationmentioning
confidence: 99%
“…These technologies are mainly related to energy and the environment, as they are energy efficient Smart Cities (Mancarella 2012). ICTs also play an important role in the easy application and deployment of new energy technologies (Papastamatiou et al 2016(Papastamatiou et al , 2017aMarinakis et al 2017), as well as in the efficient operation of existing conventional technologies. A Smart City is based on smart IT technologies applied to critical infrastructures and services.…”
Section: Transition To Energy Smart Citiesmentioning
confidence: 99%
“…At the same time, reliability and flexibility offered by wireless technologies have been the driving force for turning the Smart Building market towards the vision of the Internet of Things (IoT) and have contributed to attracting growing interest in the market. The introduction of IoT in energy and the methods using “intelligent” energy management and Internet technologies constitute an important factor in promoting efficient energy and environmental management of the “smart” building [ 12 ]. In particular, the connection of internet technologies in the energy has already created a new emerging market for energy services.…”
Section: Introductionmentioning
confidence: 99%