An Overview of Technologies for Lower Energy Consumption in Smart Buildings

The paper studies the influence of the geometric parameters of the mixer on the mixing process, the construction of the mixing body, its location in the mixer bulk, and the mixer shape and geometry. The technique of calculating the power spent on mixing the foam concrete mixture is described. The effects of the ratio of the mixture height to the mixer diameter, the number and width of reflective partitions, and the shape of the conical part of the mixer on the homogeneity of the foam concrete mixture and the power consumption are considered. The optimal ratios of the foam concrete mixture height to the mixer diameter have been determined. Moreover, the optimal range of the ratios of the partition width to the mixer diameter has been established, in order to obtain a homogeneous foam concrete mixture throughout the volume with lower energy consumption. The optimal values of the angle of the mixer conical part for the preparation of a foam concrete mixture have been determined.

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One-pot three-step mechanically assisted synthesis and catalytic performance of tripodal metallic complexes

Reaction Chemistry & Engineering ◽

10.1039/d1re00194a ◽

2021 ◽

Author(s):

Rima Tedjini ◽

Raquel Viveiros ◽

Teresa Casimiro ◽

Vasco D.B. Bonifácio

Keyword(s):

Energy Consumption ◽

Lower Energy ◽

Catalytic Performance ◽

Green Technology ◽

Waste Reduction ◽

One Pot ◽

Reaction Conversion

Mechanosynthesis is an emergent green technology that proceeds under solventless or vestigial solvent conditions. Major advantages relay in waste reduction and lower energy consumption, without compromising or enhancing reaction conversion....

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An Efficient Decision-Making Approach for Short Term Indoor Room Temperature Forecasting in Smart Environment: Evidence from India

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622021500164 ◽

2021 ◽

pp. 1-42

Author(s):

Kamal Pandey ◽

Bhaskar Basu ◽

Sandipan Karmakar

Keyword(s):

Decision Making ◽

Energy Consumption ◽

Room Temperature ◽

Linear Models ◽

Comfort Level ◽

Support Vector ◽

Nonlinear Phenomenon ◽

Short Term ◽

Smart Buildings ◽

Temperature Forecasting

“Smart cities” start with “Smart Buildings” that improve the quality of urban services while ensuring sustainability. The current scenario in India reveals that the corporate and residential building structures are incorporating various self-sustainable techniques. Out of the multiple factors governing the comfort of smart buildings, indoor room temperature is an important one, since it drives the need of cooling or heating through controlling systems. Around one-third of total energy consumption of commercial buildings in India is attributed to Heating, Ventilation and Air Conditioning (HVAC) systems. Accurate prediction of indoor room temperature helps in creating an efficient equilibrium between energy consumption and comfort level of the building, thus providing opportunities for efficient decision making for energy optimization. Considering Indian climatic and geographical conditions, this paper proposes an efficient decision making approach using Bayesian Dynamic Models (BDM) for short-term indoor room temperature forecasting of a corporate building structure. The results obtained from Bayesian Dynamic linear model, using Expectation Maximization (EM) algorithm, have been compared to standard Auto Regressive Integrated Moving Average (ARIMA) model, and have been found to be more accurate. Forecasting of indoor room temperature is a highly nonlinear phenomenon, so to further improve the accuracy of the linear models, a hybrid modeling approach has been proposed. The inclusion of state-of-the-art nonlinear models such as Artificial Neural Networks (ANNs) and Support Vector Regression (SVR) improves the forecasting accuracy of the linear models significantly. Results show that the hybrid model obtained using BDM and ANN is the best fit model.

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Distributed monitoring for energy consumption optimization in smart buildings

2014 IEEE Conference on Antenna Measurements & Applications (CAMA) ◽

10.1109/cama.2014.7003435 ◽

2014 ◽

Cited By ~ 1

Author(s):

F. Viani ◽

E. Giarola ◽

F. Robol ◽

G. Oliveri ◽

A. Massa

Keyword(s):

Energy Consumption ◽

Distributed Monitoring ◽

Smart Buildings ◽

Energy Consumption Optimization

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Optimal Management of Energy Consumption and Comfort for Smart Buildings Operating in a Microgrid

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2018.2822276 ◽

2019 ◽

Vol 10 (3) ◽

pp. 3236-3247 ◽

Cited By ~ 10

Author(s):

Jerson A. Pinzon ◽

Pedro P. Vergara ◽

Luiz C. P. da Silva ◽

Marcos J. Rider

Keyword(s):

Energy Consumption ◽

Optimal Management ◽

Smart Buildings

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Effect of the Window Position in the Building Envelope on Energy Consumption

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.11174 ◽

2018 ◽

Vol 7 (3) ◽

pp. 1861

Author(s):

Neveen Y. Azmy ◽

Rania E. Ashmawy

Keyword(s):

Energy Consumption ◽

Light Intensity ◽

Environmental Performance ◽

Lower Energy ◽

Climatic Conditions ◽

Building Envelope ◽

Natural Lighting ◽

Energy Plus ◽

Window Position

Windows play a significant role as they largely influence the energy load. Although there are many studies on the energy-efficient windows design, there is still a lack in information about the mutual impact of windows’ size, position and orientation on the energy loads. In this paper, the effect of different window positions and orientations on the energy consumption in a typical room in an administrative building that is located in the hot climatic conditions of Cairo city, Egypt is considered. This case study has been modeled and analyzed to achieve good environmental performance for architectural space, as well as assessing its impact on the amount of natural lighting required by using the Energy Plus program. The study concludes that the WWR (Window Wall Ratio) 20% square north-oriented upper opening consumes 25% lower energy than the rectangular 3:1 opening in the lower west-oriented façade. The upper openings are the highest in terms of light intensity, as they cover about 50% of the room area. The WWR 30% rectangular north-oriented upper 3:1 opening consumes 29% lower energy than the rectangular lower 3:1opening in the façade. Regarding light intensity, the upper openings are the best for natural lighting as the light covers more than 60% of the room area.

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Machine learning for energy consumption prediction and scheduling in smart buildings

SN Applied Sciences ◽

10.1007/s42452-020-2024-9 ◽

2020 ◽

Vol 2 (2) ◽

Cited By ~ 1

Author(s):

Safae Bourhnane ◽

Mohamed Riduan Abid ◽

Rachid Lghoul ◽

Khalid Zine-Dine ◽

Najib Elkamoun ◽

...

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Smart Buildings ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Pilot Pipe and Damping Orifice Arrangements Analysis of a Pilot-Control Globe Valve

Journal of Fluids Engineering ◽

10.1115/1.4047533 ◽

2020 ◽

Vol 142 (10) ◽

Author(s):

Jin-yuan Qian ◽

Jia-yi Wu ◽

Zhi-xin Gao ◽

Zhi-jiang Jin

Keyword(s):

Energy Consumption ◽

Pressure Distribution ◽

Lower Energy ◽

Flow Resistance ◽

Flow Characteristics ◽

Incoming Flow ◽

Local Flow ◽

Flow Capacity ◽

Bottom Face ◽

Globe Valve

Abstract Compared to conventional globe valves, the pilot-control globe valve (PCGV) possesses advantages of lower energy consumption and higher space utilization. In order to analyze the effects of pilot pipe and damping orifice arrangements, this work proposes four PCGVs and conducts simulations to compare their overall performances, overall flow characteristics, and local flow characteristics around the valve core. In general, the arrangement of the pilot pipe has larger effects on the hydroperformances of PCGVs than the arrangement of the damping orifice. The pipe-parallel-mounted type PCGV performs better in hydroperformance than the pipe-perpendicular-mounted type PCGV, and thus is recommended in practice. As the specified valve core travel increases, the flow resistance of PCGVs decreases and the flow capacity of PCGVs increases. However, overlarge specified valve core travel has little effects on the flow resistance and flow capacity of PCGVs. Besides, the increased specified valve core travel could effectively reduce the wear induced by the uneven pressure distribution on the external lateral face of valve core, but it has little effect on the wear induced by the uneven pressure distribution on the bottom face. For all pipe-perpendicular-mounted type PCGVs, the variation of axial force imposed on the valve core relative to the specific valve core travel presents similar tendencies under different incoming flow velocity within the scope of the investigation, which could be concluded into a fitting equation. This work could be referred for the optimization of PCGVs and other similar valves.

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