Optimal Comfort Conditions in Residential Houses

Dimara, Asimina; Timplalexis, Christos; Krinidis, Stelios; Schneider, Christopher; Bertocchi, Marco; Tzovaras, Dimitrios

doi:10.23919/splitech49282.2020.9243788

Cited by 7 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A basis for adapting AWAC functionality to match occupant preferences and comfort levels is provided by using particular scenarios derived from the data shown in Table 1. The different scenarios are produced based on optimal conditions as suggested in the literature [38]. A satisfying user experience could be achieved by coordinating AWAC operations with ideal interior conditions.…”

Section: Algorithm 1 Awac(t)mentioning

confidence: 99%

An Applied Framework for Smarter Buildings Exploiting a Self-Adapted Advantage Weighted Actor-Critic

Papaioannou,

Dimara,

Korkas

et al. 2024

Energies

Self Cite

View full text Add to dashboard Cite

Smart buildings are rapidly becoming more prevalent, aiming to create energy-efficient and comfortable living spaces. Nevertheless, the design of a smart building is a multifaceted approach that faces numerous challenges, with the primary one being the algorithm needed for energy management. In this paper, the design of a smart building, with a particular emphasis on the algorithm for controlling the indoor environment, is addressed. The implementation and evaluation of the Advantage-Weighted Actor-Critic algorithm is examined in a four-unit residential simulated building. Moreover, a novel self-adapted Advantage-Weighted Actor-Critic algorithm is proposed, tested, and evaluated in both the simulated and real building. The results underscore the effectiveness of the proposed control strategy compared to Rule-Based Controllers, Deep Deterministic Policy Gradient, and Advantage-Weighted Actor-Critic. Experimental results demonstrate a 34.91% improvement compared to the Deep Deterministic Policy Gradient and a 2.50% increase compared to the best Advantage-Weighted Actor-Critic method in the first epoch during a real-life scenario. These findings solidify the Self-Adapted Advantage-Weighted Actor-Critic algorithm’s efficacy, positioning it as a promising and advanced solution in the realm of smart building optimization.

show abstract

Section: Algorithm 1 Awac(t)mentioning

confidence: 99%

An Applied Framework for Smarter Buildings Exploiting a Self-Adapted Advantage Weighted Actor-Critic

Papaioannou,

Dimara,

Korkas

et al. 2024

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…Dimara et al [ 23 ] have used statistical approaches to measure the optimal indoor comfort conditions of the occupants in residential houses of two European countries. Temperature, humidity, and luminosity sensors were installed in each residence to collect the environmental data and feedback was collected from the occupants regarding their experiences with indoor temperature and visual comfort to identify the optimal set point.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Occupant Comfort and Building Sustainability: Lessons from an Internet of Things-Based Study on Centrally Controlled Indoor Shared Spaces in Hot Climatic Conditions

Kulkarni,

Pradeep,

Yusuf

et al. 2024

Sensors

View full text Add to dashboard Cite

It is well known that buildings have a sizeable energy and environmental footprint. In particular, in environments like university campuses, the occupants as well as occupancy in shared spaces varies over time. Systems for cooling in such environments that are centrally controlled are typically threshold driven and do not account for occupant feedback and thus are often relying on a reactive approach (fix after identifying problems). Therefore, having a fixed thermal operating set point may not be optimal in such cases—both from an occupant comfort and well-being as well as an energy efficiency perspective. To address this issue, a study was conducted which involved development and deployment of an experimental Internet of Things (IoT) prototype system and an Android application that facilitated people engagement on a university campus located in the UAE which typically exhibits hot climatic conditions. This paper showcases data driven insights obtained from this study, and in particular, how to achieve a balance between the conflicting goals of improving occupant comfort and energy efficiency. Findings from this study underscore the need for regular reassessments and adaptation. The proposed solution is low cost and easy to deploy and has the potential to reap significant savings through a reduction in energy consumption with estimates indicating around 50–100 kWh/day of savings per building and the resulting environmental impact. These findings would appeal to stakeholders who are keen to improve energy efficiency and reduce their operating expenses and environmental footprint in such climatic conditions. Furthermore, collective action from a large number of entities could result in significant impact through this cumulative effect.

show abstract

Realtime Multi-factor Dynamic Thermal Comfort Estimation for Indoor Environments

Tzitziou

Dimara

Papaioannou

et al. 2023

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Optimal Comfort Conditions in Residential Houses

Cited by 7 publications

References 13 publications

An Applied Framework for Smarter Buildings Exploiting a Self-Adapted Advantage Weighted Actor-Critic

An Applied Framework for Smarter Buildings Exploiting a Self-Adapted Advantage Weighted Actor-Critic

Enhancing Occupant Comfort and Building Sustainability: Lessons from an Internet of Things-Based Study on Centrally Controlled Indoor Shared Spaces in Hot Climatic Conditions

Realtime Multi-factor Dynamic Thermal Comfort Estimation for Indoor Environments

Contact Info

Product

Resources

About