A review of control systems for energy and comfort management in buildings

Merabti, Soufiane; Draoui, Belkacem; Bounaama, Fatah

doi:10.1109/icmic.2016.7804161

Cited by 20 publications

(5 citation statements)

References 65 publications

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“…Energy cost and comfort optimization has been an extensively researched upon topic in both industry and academia [21,22]. Most papers have discussed comfort models based on the difference between set and desired ambient parameter values, such as temperature, light intensity, CO 2 levels, etc.…”

Section: Literature Review and Related Workmentioning

confidence: 99%

Air quality and thermal comfort management for energy-efficient large public buildings

Gaonkar

Nakkeeran

Bapat

et al. 2022

Archit. Struct. Constr.

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Maximizing indoor comfort while minimizing energy costs has been a challenging problem for building management systems. This problem is significantly exacerbated for large public buildings with varying occupancy levels. A practical approach to measure occupants' comfort has been to evaluate the indoor thermal comfort using Fanger's Predictive Mean Vote (PMV) model, parameterized by the ambient temperature and Relative Humidity (RH). Such an approach is, however, one dimensional and does not consider other possible sources of discomfort like indoor air quality. Interestingly, the ambient temperature and RH, in addition to thermal comfort, also influence the amount of emissions from indoor furnishings, which is a prime source of indoor air quality degradation. Taking this into account, in this paper, we adapt the definition of comfort to include indoor air quality as well. Since occupancy levels, occupants' activities and outdoor temperature vary with time, one way to achieve desired comfort goals is to continuously adapt the settings of Heating, Ventilation, and Air Conditioning (HVAC) units in buildings. Such a continuous adaptation results in significant energy costs, especially in geographical locations where outdoor temperatures can be significantly higher/lower than desired indoor temperatures. In this context, we propose a location-aware multi-objective optimization model for indoor comfort and energy cost management. We combine conflicting objectives-improving air quality and thermal comforts, and minimizing energy cost-to determine cost-driven, comfort-driven and Pareto optimal solutions using Multi-Objective Genetic Algorithm (MOGA). The proposed model is envisioned to enable building operators to determine suitable temperature and RH as per occupants' requirement. The solution can be personalized based on the building structure and macro-and micro-location parameters. To ease configuration and customization of our model based on building-and geography-specific settings, we also present a MATLAB-based GUI that operators can leverage to understand the comfort-cost trade-off for buildings.

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Section: Literature Review and Related Workmentioning

confidence: 99%

Air quality and thermal comfort management for energy-efficient large public buildings

Gaonkar

Nakkeeran

Bapat

et al. 2022

Archit. Struct. Constr.

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“…Digital heat balance in summer application: Superficial exchanges are slightly larger in summer than in winter. The increase takes into account, on the one hand the fact that indoor air is stirring (agitation due to air conditioning), and secondly the fact that the high temperature of the exposed surface increases the heat transfer by convection [3].…”

Section: In Our Casementioning

confidence: 99%

“…Because the habitat presents 30 % of the total energy, one of these is to reduce the necessary energy needs insulating housing or more generally, by reducing losses and gain heat. Therefore, preserve nature [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Study of Some Parameters Influence on a Saharian Building Balance Sheet

Merabti¹,

Grioui²,

Menni³

et al. 2019

RCMA

Self Cite

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This work has undertaken a study of the influence of some parameters on the energy balance of a premise located in an arid area. The objective of this study is to calculate the heat of a South facing office record, and study the influence of various parameters such as: glazing, insulation, orientation, building materials and occupants. The system is composed of a desktop represented by its design, and external surrounding climatic condition of Bechar city.

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“…smart-environments, wearables, home appliances) [1], [2], that show even capable of affecting our mood [3]. Among the new verticals the IoT is enabling, smart environments are getting increasing attention from the market and the research community [4], [5]. Indeed, they empower private and public ambients to self-manage cyber-physical systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…A/C, lights, plants watering) based on data from IoT sensors, triggering reactions enabled by IoT actuators. Besides their high potential to improve people's routines, these applications can also lead to a more sustainable energy and resource management [4], [6].…”

Section: Introductionmentioning

confidence: 99%

A Declarative Goal-oriented Framework for Smart Environments with LPaaS

Bisicchia,

Forti,

Brogi

2021

Preprint

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Smart environments powered by the Internet of Things aim at improving our daily lives by automatically tuning ambient parameters (e.g. temperature, interior light) and by achieving energy savings through self-managing cyber-physical systems. Commercial solutions, however, only permit setting simple target goals on those parameters and do not consider mediating conflicting goals among different users and/or system administrators, and feature limited compatibility across different IoT verticals. In this article, we propose a declarative framework to represent smart environments, user-set goals and customisable mediation policies to reconcile contrasting goals encompassing multiple IoT systems. An open-source Prolog prototype of the framework is showcased over two lifelike motivating examples.

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A review of control systems for energy and comfort management in buildings

Cited by 20 publications

References 65 publications

Air quality and thermal comfort management for energy-efficient large public buildings

Air quality and thermal comfort management for energy-efficient large public buildings

Study of Some Parameters Influence on a Saharian Building Balance Sheet

A Declarative Goal-oriented Framework for Smart Environments with LPaaS

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