Database design for weather station and power sources

Fossil fuel has been used as the main source of energy to power most of the human activities for the past century. It has depleted the resource and brings substantial harm to the environment thus far. This has brought many experts in the world to look into the studies of renewable resources like win...

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Main Author: Lim, Shen Yeong.
Other Authors: Wang Peng
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53006
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-530062023-07-07T16:26:36Z Database design for weather station and power sources Lim, Shen Yeong. Wang Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric apparatus and materials Fossil fuel has been used as the main source of energy to power most of the human activities for the past century. It has depleted the resource and brings substantial harm to the environment thus far. This has brought many experts in the world to look into the studies of renewable resources like wind and solar energy which are readily available as long as the sun continues to rise. The purpose of this project is to study how the different weather forecast measurement data affect the solar power generation of the solar panel on S2-B1 roof top. Weather forecast data were generated from a reliable website, while solar power data were generated from the hybrid DC/AC Grid. Subsequently develop and design a database that storage the weather forecast measurement, solar power generation and prediction. This database is part of a Supervisory Control and Data Acquisition (SCADA) System. Finally, developing a Graphic User Interface (GUI) to display the database acquired and predicted solar power generation result. Mathematical formulas were used in calculation to make the prediction of the solar power generation. These formulas include standard deviation, correlation and Euclidean Distance to measure the spread of the data and to compare similarity. It was found out that the time (position of the sun), temperature and the rain were the biggest contributing factors to how much solar power the solar panel can generate. Bachelor of Engineering 2013-05-29T07:22:47Z 2013-05-29T07:22:47Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53006 en Nanyang Technological University 55 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electric apparatus and materials
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electric apparatus and materials
Lim, Shen Yeong.
Database design for weather station and power sources
description Fossil fuel has been used as the main source of energy to power most of the human activities for the past century. It has depleted the resource and brings substantial harm to the environment thus far. This has brought many experts in the world to look into the studies of renewable resources like wind and solar energy which are readily available as long as the sun continues to rise. The purpose of this project is to study how the different weather forecast measurement data affect the solar power generation of the solar panel on S2-B1 roof top. Weather forecast data were generated from a reliable website, while solar power data were generated from the hybrid DC/AC Grid. Subsequently develop and design a database that storage the weather forecast measurement, solar power generation and prediction. This database is part of a Supervisory Control and Data Acquisition (SCADA) System. Finally, developing a Graphic User Interface (GUI) to display the database acquired and predicted solar power generation result. Mathematical formulas were used in calculation to make the prediction of the solar power generation. These formulas include standard deviation, correlation and Euclidean Distance to measure the spread of the data and to compare similarity. It was found out that the time (position of the sun), temperature and the rain were the biggest contributing factors to how much solar power the solar panel can generate.
author2 Wang Peng
author_facet Wang Peng
Lim, Shen Yeong.
format Final Year Project
author Lim, Shen Yeong.
author_sort Lim, Shen Yeong.
title Database design for weather station and power sources
title_short Database design for weather station and power sources
title_full Database design for weather station and power sources
title_fullStr Database design for weather station and power sources
title_full_unstemmed Database design for weather station and power sources
title_sort database design for weather station and power sources
publishDate 2013
url http://hdl.handle.net/10356/53006
_version_ 1772827257160597504