A modular optimisation model for reducing energy consumption in large scale building facilities

2021 ◽

pp. 152-181

Keyword(s):

Energy Consumption ◽

Environmental Impact ◽

Energy Saving ◽

Large Scale ◽

Tall Buildings ◽

Effective Energy ◽

Building Projects ◽

High Rise ◽

Low Concentrations ◽

Reducing Energy

In connection with the large-scale development of high-rise building projects recently in Russia and abroad and their significant energy consumption, one of the main principles in designing is the use of effective energy-saving technologies. Also, important aspects are reducing energy consumption and neutralizing the environmental impact of tall buildings. The most promising areas in the field of integration of solar modules (planar and concentrating) in the construction of buildings are development of BIPV technologies (roofing, film, facade materials), the integration of solar energy concentrators that do not require biaxial tracking (medium and low concentrations) on the facades and roofs of buildings (parabolic concentrators, lenses, and Fresnel mirrors), integration of highly concentrated modules on the roofs of buildings.

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Opportunities and Prospects for the Implementation of Artificial Intelligence Systems in Solar Energy

Solar Concentrating Modules With Louvered Heliostats - Advances in Environmental Engineering and Green Technologies ◽

10.4018/978-1-7998-4276-7.ch008 ◽

2021 ◽

pp. 211-238

Keyword(s):

Energy Consumption ◽

Solar Energy ◽

Large Scale ◽

Tall Buildings ◽

Effective Energy ◽

Building Projects ◽

High Rise ◽

Low Concentrations ◽

Reducing Energy ◽

Artificial Intelligence Systems

In connection with the large-scale development of high-rise building projects recently in Russia and abroad and their significant energy consumption, one of the main principles in designing is the use of effective energy-saving technologies. Also important aspects are reducing energy consumption and neutralizing the environmental impact of tall buildings. The most promising areas in the field of integration of solar modules (planar and concentrating) in the construction of buildings are development of BIPV technologies (roofing, film, facade materials), the integration of solar energy concentrators that do not require biaxial tracking (medium and low concentrations) on the facades and roofs of buildings (parabolic concentrators, lenses, and Fresnel mirrors), integration of highly concentrated modules on the roofs of buildings.

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The Optimizing WEB

Green Technologies ◽

10.4018/978-1-60960-472-1.ch810 ◽

2011 ◽

pp. 2012-2024

Author(s):

Aditya K. Ghose ◽

Graham Billiau

Keyword(s):

Climate Change ◽

Energy Consumption ◽

Large Scale ◽

Global Network ◽

Carbon Mitigation ◽

Global Consensus ◽

Energy Consumption Optimization ◽

Tightly Coupled ◽

Change Mitigation ◽

Reducing Energy

There is a global consensus on the need to reduce our collective carbon footprint. Improving the efficiency of how we use our infrastructure is central to reducing energy consumption. Optimization is fundamental to any approach to climate change mitigation. While optimization technology has been on offer for almost 70 years, most applications of optimization technology have been in piecemeal, monolithic optimization systems. Yet the climate change crisis requires optimization on a large-scale, and in manner that permits entities in a massive planetary supply chain to collaborate to achieve the commonly agreed upon carbon mitigation objective. Traditional stand-alone “batch” optimization will also not be adequate for this setting, but will need to be tightly coupled with networks of planners and controllers. This chapter presents a vision for the Optimizing Web – a large global network of interoperating optimizers that is as ubiquitous as the present-day web, and that leverages it‘s existing infrastructure for green ICT.

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The Optimizing WEB

Handbook of Research on Green ICT ◽

10.4018/978-1-61692-834-6.ch012 ◽

2011 ◽

pp. 184-196 ◽

Cited By ~ 3

Author(s):

Aditya K. Ghose ◽

Graham Billiau

Keyword(s):

Climate Change ◽

Energy Consumption ◽

Large Scale ◽

Global Network ◽

Carbon Mitigation ◽

Global Consensus ◽

Energy Consumption Optimization ◽

Tightly Coupled ◽

Change Mitigation ◽

Reducing Energy

There is a global consensus on the need to reduce our collective carbon footprint. Improving the efficiency of how we use our infrastructure is central to reducing energy consumption. Optimization is fundamental to any approach to climate change mitigation. While optimization technology has been on offer for almost 70 years, most applications of optimization technology have been in piecemeal, monolithic optimization systems. Yet the climate change crisis requires optimization on a large-scale, and in manner that permits entities in a massive planetary supply chain to collaborate to achieve the commonly agreed upon carbon mitigation objective. Traditional stand-alone “batch” optimization will also not be adequate for this setting, but will need to be tightly coupled with networks of planners and controllers. This chapter presents a vision for the Optimizing Web – a large global network of interoperating optimizers that is as ubiquitous as the present-day web, and that leverages it‘s existing infrastructure for green ICT.

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Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189028 ◽

2020 ◽

Vol 39 (4) ◽

pp. 5449-5458

Author(s):

A. Arokiaraj Jovith ◽

S.V. Kasmir Raja ◽

A. Razia Sulthana

Keyword(s):

Energy Consumption ◽

Large Scale ◽

Control Parameter ◽

Interference Mitigation ◽

Wireless Sensor ◽

Point To Point ◽

A Minor ◽

Two Stages ◽

Time Division ◽

And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

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