Pressure-based prediction of harvestable energy for powering environmental monitoring systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096791" target="_blank" >RIV/61989100:27240/15:86096791 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/EEEIC.2015.7165254" target="_blank" >http://dx.doi.org/10.1109/EEEIC.2015.7165254</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EEEIC.2015.7165254" target="_blank" >10.1109/EEEIC.2015.7165254</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pressure-based prediction of harvestable energy for powering environmental monitoring systems

Popis výsledku v původním jazyce

Environmental monitoring systems are useful for the study of various natural phenomena. They are often deployed in remote locations, making their reliability and energy independence important. This leads to the use of energy harvesting technologies thatallow the sensor platforms to operate either independently or for extended periods of time. However, it is also important to maintain quality of the collected data, namely its temporal resolution for a given purpose. To balance the trade-off between these two aspects, an energy management scheme is required. The performance of such schemes strongly depends on the accuracy of the energy forecast, often used as one of their inputs. In this contribution, several methods of varying complexity are used to predict the total amount of daily solar energy available for harvest in the near future. All proposed methods are based solely on atmospheric surface pressure, with the aim of keeping the prediction algorithm as simple as possible.

Název v anglickém jazyce

Pressure-based prediction of harvestable energy for powering environmental monitoring systems

Popis výsledku anglicky

Environmental monitoring systems are useful for the study of various natural phenomena. They are often deployed in remote locations, making their reliability and energy independence important. This leads to the use of energy harvesting technologies thatallow the sensor platforms to operate either independently or for extended periods of time. However, it is also important to maintain quality of the collected data, namely its temporal resolution for a given purpose. To balance the trade-off between these two aspects, an energy management scheme is required. The performance of such schemes strongly depends on the accuracy of the energy forecast, often used as one of their inputs. In this contribution, several methods of varying complexity are used to predict the total amount of daily solar energy available for harvest in the near future. All proposed methods are based solely on atmospheric surface pressure, with the aim of keeping the prediction algorithm as simple as possible.

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings

ISBN

978-1-4799-7993-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

725-730

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Řím

Datum konání akce

10. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000366654400125