Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building

Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building

Solar energy and the concept of passive solar architecture are being increased in several areas to attain the net-zero energy concept. This paved the way for an increase in the need of solar irradiance forecasting for both solar PV applications and Passive Solar Architectural buildings. First, solar...

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Main Authors: Chakkaravarthy, Naveen, Subathra, M. S. P., Pradeep, P. Jerin, Manoj Kumar, Nallapaneni
Format: Article
Language:English
Published: American Institute of Physics (AIP) 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/23067/
http://umpir.ump.edu.my/id/eprint/23067/
http://umpir.ump.edu.my/id/eprint/23067/
http://umpir.ump.edu.my/id/eprint/23067/1/Solar%20irradiance%20forecasting%20and%20energy%20optimization%20for%20achieving%20nearly%20net%20zero%20energy%20building.pdf
id ump-23067
recordtype eprints
spelling ump-230672019-02-11T03:30:28Z http://umpir.ump.edu.my/id/eprint/23067/ Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building Chakkaravarthy, Naveen Subathra, M. S. P. Pradeep, P. Jerin Manoj Kumar, Nallapaneni TK Electrical engineering. Electronics Nuclear engineering Solar energy and the concept of passive solar architecture are being increased in several areas to attain the net-zero energy concept. This paved the way for an increase in the need of solar irradiance forecasting for both solar PV applications and Passive Solar Architectural buildings. First, solar irradiance forecasting was done with 131 400 data sets (1-h data for 15 years) which was split into monthly mean for every year. This model was evaluated by forecasting the post-consecutive years one by one with the pre-consecutive years which includes the pre-forecasted years. This model was shown to have RMSE values of 11% to 24% for various seasonal forecasting using the Random Forest Algorithm in WEKA, which gave the annual irradiance results nearer to the PV Sol energy forecasting results. The R-value was in the range of 0.8 to 0.9 for various seasons which is good. Building Energy Optimization was carried out using BEopt 2.8 software designed by NREL. The chosen building was set to the standard parameters in India, and then, the optimization was done with various customized parameters and systems available in India to reduce the energy consumption from 192.2 MMBtu/yr to 109.1 MMBtu/yr with a 7 kW Solar PV System to attain the net-zero energy concept. American Institute of Physics (AIP) 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23067/1/Solar%20irradiance%20forecasting%20and%20energy%20optimization%20for%20achieving%20nearly%20net%20zero%20energy%20building.pdf Chakkaravarthy, Naveen and Subathra, M. S. P. and Pradeep, P. Jerin and Manoj Kumar, Nallapaneni (2018) Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building. Journal of Renewable and Sustainable Energy, 10 (3). ISSN 1941-7012 https://aip.scitation.org/doi/abs/10.1063/1.5034382 https://doi.org/10.1063/1.5034382
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chakkaravarthy, Naveen
Subathra, M. S. P.
Pradeep, P. Jerin
Manoj Kumar, Nallapaneni
Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building
description Solar energy and the concept of passive solar architecture are being increased in several areas to attain the net-zero energy concept. This paved the way for an increase in the need of solar irradiance forecasting for both solar PV applications and Passive Solar Architectural buildings. First, solar irradiance forecasting was done with 131 400 data sets (1-h data for 15 years) which was split into monthly mean for every year. This model was evaluated by forecasting the post-consecutive years one by one with the pre-consecutive years which includes the pre-forecasted years. This model was shown to have RMSE values of 11% to 24% for various seasonal forecasting using the Random Forest Algorithm in WEKA, which gave the annual irradiance results nearer to the PV Sol energy forecasting results. The R-value was in the range of 0.8 to 0.9 for various seasons which is good. Building Energy Optimization was carried out using BEopt 2.8 software designed by NREL. The chosen building was set to the standard parameters in India, and then, the optimization was done with various customized parameters and systems available in India to reduce the energy consumption from 192.2 MMBtu/yr to 109.1 MMBtu/yr with a 7 kW Solar PV System to attain the net-zero energy concept.
format Article
author Chakkaravarthy, Naveen
Subathra, M. S. P.
Pradeep, P. Jerin
Manoj Kumar, Nallapaneni
author_facet Chakkaravarthy, Naveen
Subathra, M. S. P.
Pradeep, P. Jerin
Manoj Kumar, Nallapaneni
author_sort Chakkaravarthy, Naveen
title Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building
title_short Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building
title_full Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building
title_fullStr Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building
title_full_unstemmed Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building
title_sort solar irradiance forecasting and energy optimization for achieving nearly net zero energy building
publisher American Institute of Physics (AIP)
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23067/
http://umpir.ump.edu.my/id/eprint/23067/
http://umpir.ump.edu.my/id/eprint/23067/
http://umpir.ump.edu.my/id/eprint/23067/1/Solar%20irradiance%20forecasting%20and%20energy%20optimization%20for%20achieving%20nearly%20net%20zero%20energy%20building.pdf
first_indexed 2023-09-18T22:34:25Z
last_indexed 2023-09-18T22:34:25Z
_version_ 1777416499643809792

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