PV Energy Generation and IoT Power Consumption for Telecom Networks in Remote Areas

CubeSat attracts many researchers due to its low production and deployment cost. One of the application is implemented in low data rate communication or machine to machine (M2M) with IoT devices in remote areas such as islands, forests, and mountains. In this study, a CubeSat receiver for IoT communication in remote areas has been developed and realized. A LoRa SX1276 chip is used for processing passband signals captured by the antenna. The device has a amplifier gain of 20.92 dB, 390 mW power consumption, and operating frequency of 923 MHz. The developed CubeSat is expected to provide a low bit rate of 5468.750 bps for SF 7 and 292.969 for SF 12 , the receiver serves as a concentrator for monitoring devices in rural areas.

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Ethanol Logistics for Fuel Cells Applications in Brazil

ASME 2008 6th International Conference on Fuel Cell Science, Engineering and Technology ◽

10.1115/fuelcell2008-65174 ◽

2008 ◽

Author(s):

Egberto Gomes Franco ◽

Paulo Lucas Dantas Filho ◽

Flavio Taioli ◽

Carlos Eduardo Rollo Ribeiro ◽

Geraldo Francisco Burani

Keyword(s):

Fuel Cells ◽

Natural Gas ◽

Large Scale ◽

High Efficiency ◽

Clean Energy ◽

Energy Generation ◽

Promising Alternative ◽

Remote Areas ◽

Global Player ◽

The Impact

One important element to reduce the impact of the present economic development model in nature is the energy generation. The need for more efficient sources of energy is evident, as the world relies on fossil fuel sources that become scarcer and expensive. Furthermore, imposes the use of clean fuels, like hydrogen and renewable primary fuels in large scale. The fuel cells technology have shown to be an interesting and very promising alternative, among others, to solve the problem of generating clean energy with high efficiency, using hydrogen, natural gas and ethanol. Hydrogen production from ethanol is an attractive technique, due to it renewable source, allowing clean energy generation. To permit that, the logistics of ethanol plays an essential role, allowing easy and full access to this fuel also in remote areas. In this article, we identify the necessary infra-structure to lead Brazil as a global player in the Hydrogen Economy. The costs of natural gas and ethanol as “carriers” were identified, pointing out weaknesses and strongest points of these primary fuels. The combination of these two technologies could drive Brazil to a clean and renewable energy source, mainly in remote areas.

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Autonomous distributed temperature sensing for long-term heated applications in remote areas

Geoscientific Instrumentation Methods and Data Systems ◽

10.5194/gi-2-71-2013 ◽

2013 ◽

Vol 2 (1) ◽

pp. 71-77 ◽

Cited By ~ 8

Author(s):

A.-M. Kurth ◽

N. Dawes ◽

J. Selker ◽

M. Schirmer

Keyword(s):

Power Consumption ◽

High Power ◽

Surrounding Medium ◽

Temperature Sensing ◽

Valuable Insight ◽

Distributed Temperature Sensing ◽

Worst Case ◽

Remote Areas ◽

High Power Consumption

Abstract. Distributed temperature sensing (DTS) is a fiber-optical method enabling simultaneous temperature measurements over long distances. Electrical resistance heating of the metallic components of the fiber-optic cable provides information on the thermal characteristics of the cable's environment, providing valuable insight into processes occurring in the surrounding medium, such as groundwater–surface water interactions, dam stability or soil moisture. Until now, heated applications required direct handling of the DTS instrument by a researcher, rendering long-term investigations in remote areas impractical due to the often difficult and time-consuming access to the field site. Remote control and automation of the DTS instrument and heating processes, however, resolve the issue with difficult access. The data can also be remotely accessed and stored on a central database. The power supply can be grid independent, although significant infrastructure investment is required here due to high power consumption during heated applications. Solar energy must be sufficient even in worst case scenarios, e.g. during long periods of intense cloud cover, to prevent system failure due to energy shortage. In combination with storage batteries and a low heating frequency, e.g. once per day or once per week (depending on the season and the solar radiation on site), issues of high power consumption may be resolved. Safety regulations dictate adequate shielding and ground-fault protection, to safeguard animals and humans from electricity and laser sources. In this paper the autonomous DTS system is presented to allow research with heated applications of DTS in remote areas for long-term investigations of temperature distributions in the environment.

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Original Framework for Optimizing Hybrid Energy Supply

Journal of Energy ◽

10.1155/2016/8317505 ◽

2016 ◽

Vol 2016 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Amevi Acakpovi

Keyword(s):

Optimization Problem ◽

Energy Systems ◽

Energy Generation ◽

Programming Approach ◽

Hybrid Energy ◽

Remote Areas ◽

Hybrid Energy Systems ◽

Input Variables ◽

The Cost

This paper proposes an original framework for optimizing hybrid energy systems. The recent growth of hybrid energy systems in remote areas across the world added to the increasing cost of renewable energy has triggered the inevitable development of hybrid energy systems. Hybrid energy systems always pose a problem of optimization of cost which has been approached with different perspectives in the recent past. This paper proposes a framework to guide the techniques of optimizing hybrid energy systems in general. The proposed framework comprises four stages including identification of input variables for energy generation, establishment of models of energy generation by individual sources, development of artificial intelligence, and finally summation of selected sources. A case study of a solar, wind, and hydro hybrid system was undertaken with a linear programming approach. Substantial results were obtained with regard to how load requests were constantly satisfied while minimizing the cost of electricity. The developed framework gained its originality from the fact that it has included models of individual sources of energy that even make the optimization problem more complex. This paper also has impacts on the development of policies which will encourage the integration and development of renewable energies.

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Autonomous distributed temperature sensing for long-term heated applications in remote areas

Geoscientific Instrumentation Methods and Data Systems Discussions ◽

10.5194/gid-2-855-2012 ◽

2012 ◽

Vol 2 (2) ◽

pp. 855-873

Author(s):

A.-M. Kurth ◽

N. Dawes ◽

J. Selker ◽

M. Schirmer

Keyword(s):

Power Consumption ◽

High Power ◽

Surrounding Medium ◽

Temperature Sensing ◽

Valuable Insight ◽

Distributed Temperature Sensing ◽

Worst Case ◽

Remote Areas ◽

High Power Consumption

Abstract. Distributed Temperature Sensing (DTS) is a fiber-optical method enabling simultaneous temperature measurements over long distances. Electrical resistance heating of the metallic components of the fiber-optic cable provides information on the thermal characteristics of the cable's environment, providing valuable insight into processes occurring in the surrounding medium, such as groundwater-surface water interactions, dam stability or soil moisture. Until now, heated applications required direct handling of the DTS instrument by a researcher, rendering long-term investigations in remote areas impractical due to the often difficult and time-consuming access to the field site. Remote-control and automation of the DTS instrument and heating processes, however, resolve the issue with difficult access. The data can also be remotely accessed and stored on a central database. The power supply can be grid-independent, although significant infrastructure investment is required here due to high power consumption during heated applications. Solar energy must be sufficient even in worst case scenarios, e.g. during long periods of intense cloud cover, to prevent system failure due to energy shortage. In combination with storage batteries and a low heating frequency, e.g. once per day or once per week (depending on the season and the solar radiation on site), issues of high power consumption may be resolved. Safety regulations dictate adequate shielding and ground-fault protection, to safeguard animals and humans from electricity and laser sources. In this paper the autonomous DTS system is presented to allow research with heated applications of DTS in remote areas for long-term investigations of temperature distributions in the environment.

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Load Frequency Control by Commercial Air Conditioners Power Consumption Control with Large Penetration of Renewable Energy Generation

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.135.233 ◽

2015 ◽

Vol 135 (4) ◽

pp. 233-240 ◽

Cited By ~ 16

Author(s):

Hironori Kikuchi ◽

Hiroshi Asano ◽

Shigeru Bando

Keyword(s):

Renewable Energy ◽

Power Consumption ◽

Frequency Control ◽

Energy Generation ◽

Load Frequency Control ◽

Air Conditioners ◽

Load Frequency ◽

Renewable Energy Generation ◽

Consumption Control

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Compositional Tuning of Negative Differential Resistance in Bulk Silver Iodide Memristor

New Journal of Chemistry ◽

10.1039/d0nj05427e ◽

2020 ◽

Author(s):

SMITA GAJANAN NAIK ◽

Mohammad Hussain Kasim Rabinal

Keyword(s):

Power Consumption ◽

Negative Differential Resistance ◽

Silver Iodide ◽

Differential Resistance ◽

Fast Response ◽

Low Power Consumption ◽

Switching Effect ◽

Memory Switching ◽

Bulk Silver ◽

Emerging Memory

Electrical memory switching effect has received a great interest to develop emerging memory technology such as memristors. The high density, fast response, multi-bit storage and low power consumption are their...

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