Dynamic modeling of room temperature and thermodynamic efficiency for direct expansion air conditioning systems using Bayesian neural network

Sholahudin,; Ohno, Keisuke; Giannetti, Niccolò; Yamaguchi, Seiichi; Saito, Kiyoshi

doi:10.1016/j.applthermaleng.2019.113809

Cited by 16 publications

(5 citation statements)

References 30 publications

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“…The main difference and advantage is the absence of any operations for preparing the sample for analysis. A multisensor system composed of sensors (e.g., 4,8,16) allows us to form an image of the detected air, both of the integral smell and the components separated.…”

Section: Resultsmentioning

confidence: 99%

“…To decrease the influence of hardware noise, the procedure of smoothing that is carried out on the scale of real-time allows us to reduce the influence of an electronic circuit as much as possible, and, in some cases, to eliminate it. The algorithm of exponential smoothing in real-time, U(t + 1) = pU(t) + (1 − p) U(t), with a coefficient of smoothing, p ∈ [0, 1], provides minimum distortion of an entrance signal [4].…”

Section: Methodsmentioning

confidence: 99%

“…The existence of «pure» vapors or gases in air is almost unreachable because of natural molecular variety. The molecular structure of ambient air forms molecules (substances), which, in turn, undergo physical and chemical transformations [4,5]. It means that the structure of ambient air can be considered as dynamically variable.…”

Section: Introductionmentioning

confidence: 99%

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Multisensory Gas Analysis System Based on Reconstruction Attractors

Черемисина

Кулагин

El-Saleem³

et al. 2020

Symmetry

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The paper describes the substance image formation based on the measurements by multisensor systems and the possibility of the development of a gas analysis device like an electronic nose. Classification of gas sensors and the need for their application for the recognition of difficult images of multicomponent air environments are considered. The image is formed based on stochastic transformations, calculations of correlation, and fractal dimensions of reconstruction attractors. The paper shows images created for substances with various structures that were received with the help of a multisensor system under fixed measurement conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Multisensory Gas Analysis System Based on Reconstruction Attractors

Черемисина

Кулагин

El-Saleem³

et al. 2020

Symmetry

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“…Although complex approaches such as neural networks are being explored for heating and cooling system thermal predictions with positive outcomes for objective oriented control, 10,18 the success of physics based numerical methods such as electrical-thermal analogies, makes them well suited to demonstrative studies such as this one. Non-linear auto-regressive models have been used for predicting building thermal behaviour which have suited the purpose of their study well, 19 but without great effort only moderately capture the finer higher frequency response details of building behaviour.…”

Section: Methodsmentioning

confidence: 99%

Opportunities for improved space heating energy efficiency from fluid property modifications

Williams

Innerdale

2022

Indoor and Built Environment

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Unsteady behaviour of hydronic heating systems causes higher mean room temperatures than are required for comfort. Peak room temperatures depend on interactions between thermostats, heat emitters and the room. The importance of fluid properties on such unsteady heating is often misunderstood meaning potential energy savings are overlooked. This paper demonstrates the influence of fluid modifications and indicates a plausible magnitude of the energy saving opportunity. The results showed that fluid side heat transfer coefficient in isolation had negligible effect. Specific heat capacity of the fluid and flow rates were important, as they altered the amount of embedded energy in the heat emitter when thermostat conditions were met. Reductions in mean heating power for steady demand conditions were between 0 and 7% for plausible changes to fluid properties, depending on heat emitter size, room insulation and external temperature. Reductions in individual cycle energy were between 5 and 25%. When considered in the context of intermittent finite duration heating events, those that contained a small number of thermostat cycles demonstrated energy savings that tended towards the reductions in individual cycle energy. Heating events with larger numbers of cycles showed energy savings tending towards the reduction in mean heating power.

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“…For the separation of isopropyl ether/isopropyl alcohol/water, three methods (traditional distillation, feed preheating, and distillation combined with membrane) were used to separate the azeotrope, and the TAC and energy consumption were compared. The preheating of the feed stream can improve the thermodynamic efficiency, − improve the utilization rate of energy, and reduce the TAC. For azeotrope separation, there are many studies on economic and energy consumption analysis.…”

Section: Introductionmentioning

confidence: 99%

Economic and Environmental Evaluation for Purification of Diisopropyl Ether and Isopropyl Alcohol via Combining Distillation and Pervaporation Membrane

Dai

Meng

et al. 2019

ACS Sustainable Chem. Eng.

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Diisopropyl ether and isopropyl alcohol have attracted interest as promising raw materials. Finding an environmentally friendly and sustainable production is a goal that people are constantly pursuing. Extractive distillation is a traditional technique for separation of the mixture diisopropyl ether/isopropyl alcohol/water. The traditional technique should be improved due to its high energy consumption. In this work, feed preheating and hybrid membrane distillation are explored as two alternatives for separation and evaluated from the economic, environment, and human health points of view. Two different solvents (ethylene glycol and dimethyl sulfoxide) are considered and compared. To analyzethe thermodynamic efficiency, condenser exergy analysis, stage enthalpy, and exergy loss are studied. Life cycle assessment is used to assess the effects of extractive distillation, feed preheating, and mixed membrane distillation on human health and the environment. In terms of energy consumption and the total annual cost, hybrid membrane distillation is superior to extractive distillation and feed preheating. At the same time, hybrid membrane distillation produces the lowest human toxicity and environmental impact. Thus, in the process of separation, the combination of distillation and pervaporation membrane should be considered because it is an environmentally friendly process.

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Dynamic modeling of room temperature and thermodynamic efficiency for direct expansion air conditioning systems using Bayesian neural network

Cited by 16 publications

References 30 publications

Multisensory Gas Analysis System Based on Reconstruction Attractors

Multisensory Gas Analysis System Based on Reconstruction Attractors

Opportunities for improved space heating energy efficiency from fluid property modifications

Economic and Environmental Evaluation for Purification of Diisopropyl Ether and Isopropyl Alcohol via Combining Distillation and Pervaporation Membrane

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