Edge Router Design of Energy Consumption Devices for Large Building

2018 ◽  
Author(s):  
Yingchun Zhong ◽  
Zhiyi Fan ◽  
Jincao Xiao ◽  
Ling Zhong ◽  
Xiangqian Xiao ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Edge Router ◽  
Large Building

The Air Conditioning System of a Large Public Building Energy Consumption Simulation Research

2013 ◽  
Vol 291-294 ◽  
pp. 1795-1798
Author(s):  
You Yin Jing ◽  
Ting Li ◽  
Qian Qian Liu
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Simulation Software ◽  
System Variable ◽  
Simulation Research ◽  
Air Conditioning System ◽  
Variable Air Volume ◽  
Air Volume ◽  
Large Building ◽  
Energy Consumption Simulation

The large building air conditoning system with different modes were made , which include the constant air volume system, variable air volume system, the temperature and humidity independent control system. To calculate energy saving rate, the energy consumption simulated by DeST energy simulation software.

OPTIMIZING THERMAL COMFORT AND ENERGY CONSUMPTION IN A LARGE BUILDING WITHOUT RENOVATION WORK

2018 ◽  
Author(s):  
Sylvain Le Corff ◽  
Alain Champagne ◽  
Maurice Charbit ◽  
Gilles Noziere ◽  
Eric Moulines
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
Large Building

scholarly journals Energy Consumption Analysis of a Large Building at Memorial University

2019 ◽  
Vol 2019 ◽  
pp. 1-21
Author(s):  
Almahdi Abdo-Allah ◽  
M. Tariq Iqbal ◽  
Kevin Pope
Keyword(s):  
Energy Consumption ◽  
Hot Water ◽  
Indoor Climate ◽  
Building Model ◽  
Large Structures ◽  
Energy Consumption Analysis ◽  
Consumption Data ◽  
Complex Building ◽  
Large Building

In this paper, energy consumption analysis and a process to identify appropriate models based on heat dynamics for large structures are presented. The analysis uses data from heating, ventilation, and air-conditioning (HVAC) system sensors, as well as data from the indoor climate and energy software (IDA Indoor Climate and Energy (IDA-ICE) 4.7 simulation program). Energy consumption data (e.g., power and hot water usage) agrees well with the new models. The model is applicable in a variety of applications, such as forecasting energy consumption and controlling indoor climate. In the study, both data-derived models and a grey-box model are tested, producing a complex building model with high accuracy. Also, a case study of the S. J. Carew building at Memorial University, St. John’s, Newfoundland, is presented.

Lay Perceptions of Energy Consumption

2009 ◽  
Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin
Keyword(s):  
Energy Consumption ◽  
Lay Perceptions

Study on Energy Consumption by Land Cargo Transportation

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu
Keyword(s):  
Energy Consumption ◽  
Cargo Transportation

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

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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