A thermal comfort-driven model predictive controller for residential split air conditioner

Pandey, Brijesh; Bohara, Bharat; Pungaliya, Rajat; Patwardhan, Sachin C.; Banerjee, Rangan

doi:10.1016/j.jobe.2021.102513

Cited by 16 publications

(5 citation statements)

References 32 publications

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“…It should be noted that it depends on the setting temperature. According to Figure 12a,b, the temperature that fits best in the range is 23 • C, coinciding with what is presented in [31]. However, the temperature of 24 • C also handles the range of acceptable comfort.…”

Section: Discussionsupporting

confidence: 83%

Energy Consumption Difference Found between Typical and Standard Occupancy in Residential Buildings in a Tropical Developing Country

González,

Mora,

Chen Austin

2023

Buildings

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Buildings are highly demanding of global energy consumption. Their functions, design, location, and other parameters influence the magnitude of such consumption. However, a key factor that can significantly change energy demand is the occupant’s interaction with the environment. It is, therefore, prudent to integrate the occupant profile within the six determinants of energy use, as proposed by the International Energy Agency. International standards propose an occupancy profile that has been implemented for design and performance analysis. However, these do not reflect reality, have little precision in their results, and affect occupant comfort and energy consumption expectations. To mitigate this problem, the literature proposes various methodologies to establish a mainly stochastic analysis offering optimal results. Panama, a country in the process of improving its energy matrix, finds it convenient to apply studies on the occupants’ behavior (OB) and preferences to guarantee comfort and avoid energy losses, supporting the purposes established in the National Energy Plan of Panama 2015–2050, guiding energy policy. This research seeks to define a particular pattern in occupants’ behavior in Panama through the analysis of surveys, identify its impact on energy consumption through dynamic simulation, and compare it with energy consumption generated by international standards. Results showed great differences in the energy consumption estimated via typical OB-based surveys and OB from standards, where the consumption by the latter can increase above 50%, while with surveys, this differs from the reference by no more than 11%.

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Section: Discussionsupporting

confidence: 83%

Energy Consumption Difference Found between Typical and Standard Occupancy in Residential Buildings in a Tropical Developing Country

González,

Mora,

Chen Austin

2023

Buildings

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“…A three-dimensional model of a realistic room comprising an occupant, a ceiling fan and two windows (one for the inlet and the other for the outlet) was selected for this study, similar to that reported in the literature. 30 The computational model of the room is shown in Figure 1(a) . The selected room has dimensions of 3.6 × 3.6 × 3.2 m 3 .…”

Section: Methodsmentioning

confidence: 99%

Effect of ceiling fan in mitigating exposure to airborne pathogens and COVID-19

Pandey

Saha

Banerjee

2023

Indoor and Built Environment

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Ceiling fans are the ubiquitously used electrical appliance in indoor spaces that affect the local airflow pattern and, consequently, transmission of airborne pathogens and respiratory droplets. This study numerically investigated the effect of airflow induced by the ceiling fan and ventilation rate on aerosol distribution to mitigate exposure to airborne pathogens and COVID-19. A full-scale room with a ceiling fan, natural ventilation and an occupant was modelled through transient computational fluid-particle dynamics (CFPD). To analyze the relationship between the ceiling fan rotation speed and the aerosol distribution, a ceiling fan was operated with 160, 265 and 365 revolutions per minute (RPM). The effect of the ceiling fan on particles was analyzed for particles of different sizes. The increasing ceiling fan rotation speed, the percentage deposition of the aerosol particles with diameters >40 μm was increased. The effect of different ventilation rates on aerosol distribution was evaluated. The increased ventilation rate, the percentage of the total aerosol particles flushed out was increased. The effectiveness of the mask in mitigating the exposure risk of airborne pathogens was also investigated. In combination with the natural ventilation and mask, the ceiling fan was demonstrated to have the potential to reduce airborne pathogen transmission in indoor spaces.

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“…It should be noted that due to the benefits of artificial intelligence, this technology can also be used to predict the capacity of transmission lines Tavoosi et al (2021a), Tavoosi et al (2021b). In order to solve the problem of transmission line capacity, we can use its emergency capacity, but in this case, due to the passage of additional power through the transmission lines, the temperature of these lines rises and causes damages such as loss of elastic thickness in the line Palm (2021); Pandey et al (2021).…”

Section: Introductionmentioning

confidence: 99%

Modeling the Price of Emergency Power Transmission Lines in the Reserve Market Due to the Influence of Renewable Energies

et al. 2022

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The law of free access to the transmission network obliges the transmission network to be in orbit, and on the other hand, the high loads in the transmission network, and economic uncertainties cause that the owners of transmission companies, don’t have sufficient motivation and resources to rebuild and develop the network. The main objective of this paper is the modeling the price of emergency power transmission lines in the reserve markets. This paper presents a method for calculating the reference price that a transmission line owner uses to bid on a price in excess of the nominal capacity of the transmission line under his ownership. For this purpose, first, the effects of operating a transmission line at a power greater than the rated power are described. After that, the reduction rate of the transmission line due to operation in these conditions is calculated, and finally the price determination is calculated based on the reduction rate of the generated life. In the next stage, this excess capacity is entered the two-stage model of energy market and reservation considering renewable energy sources as a price offer function. Numerical results of 6-Shin network show that the entry of renewable energy sources reduces energy costs, but the costs of the reserve market increases due to uncertainty. However, despite the emergency capacity, these costs are reduced due to the use of cheap resources in the network.

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A thermal comfort-driven model predictive controller for residential split air conditioner

Cited by 16 publications

References 32 publications

Energy Consumption Difference Found between Typical and Standard Occupancy in Residential Buildings in a Tropical Developing Country

Energy Consumption Difference Found between Typical and Standard Occupancy in Residential Buildings in a Tropical Developing Country

Effect of ceiling fan in mitigating exposure to airborne pathogens and COVID-19

Modeling the Price of Emergency Power Transmission Lines in the Reserve Market Due to the Influence of Renewable Energies

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