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Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model

Load forecasting plays a substantial role in designing a power harvesting system. All manufacturing plants are highly dependent on the primary grid as their main power supply. Manufacturing plant consumes high electricity due to its nature that requires the plant to operate 24 hours a day. This stud...

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Main Authors: Rossli, S. A., Ahmad, R., Thirugnana, S. T.
Format: Article
Published: Regional Energy Resources Information Center (RERIC), Asian Institute of Technology 2021
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/95282/
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spelling my.utm.952822022-04-29T22:03:12Z http://eprints.utm.my/id/eprint/95282/ Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model Rossli, S. A. Ahmad, R. Thirugnana, S. T. T Technology (General) Load forecasting plays a substantial role in designing a power harvesting system. All manufacturing plants are highly dependent on the primary grid as their main power supply. Manufacturing plant consumes high electricity due to its nature that requires the plant to operate 24 hours a day. This study explores the potential of solar harvesting system for high grid consumer, and it is conducted to investigate the possibility for manufacturing plant X to rely on the renewable energy as an alternative power supply. Based on the demand of power that may vary during on-peak and off-peak in conjunction with business planning, a forecasting model has been developed to predict the plant's demand. Based on the model developed, an optimal design of the PV harvesting system for the manufacturing plant is proposed using Hybrid Optimization of Electrical Renewable (HOMER) software with respect to economic aspect. The designed system managed to supply 88.2% of the demand meanwhile 11.2% were supplied by the main grid. However, the cost is intolerable with calculated operating and maintaining the system is RM14.7M (USD 3.57M) per month as compared to current cost which is significantly less. Further research on hybrid renewable energy harvesting may be conducted that may improve the proposed system. © 2021 Regional Energy Resources Information Center (RERIC), Asian Institute of Technology. Regional Energy Resources Information Center (RERIC), Asian Institute of Technology 2021 Article PeerReviewed Rossli, S. A. and Ahmad, R. and Thirugnana, S. T. (2021) Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model. International Energy Journal, 21 (3). pp. 347-360. ISSN 1513-718X
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Rossli, S. A.
Ahmad, R.
Thirugnana, S. T.
Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model
description Load forecasting plays a substantial role in designing a power harvesting system. All manufacturing plants are highly dependent on the primary grid as their main power supply. Manufacturing plant consumes high electricity due to its nature that requires the plant to operate 24 hours a day. This study explores the potential of solar harvesting system for high grid consumer, and it is conducted to investigate the possibility for manufacturing plant X to rely on the renewable energy as an alternative power supply. Based on the demand of power that may vary during on-peak and off-peak in conjunction with business planning, a forecasting model has been developed to predict the plant's demand. Based on the model developed, an optimal design of the PV harvesting system for the manufacturing plant is proposed using Hybrid Optimization of Electrical Renewable (HOMER) software with respect to economic aspect. The designed system managed to supply 88.2% of the demand meanwhile 11.2% were supplied by the main grid. However, the cost is intolerable with calculated operating and maintaining the system is RM14.7M (USD 3.57M) per month as compared to current cost which is significantly less. Further research on hybrid renewable energy harvesting may be conducted that may improve the proposed system. © 2021 Regional Energy Resources Information Center (RERIC), Asian Institute of Technology.
format Article
author Rossli, S. A.
Ahmad, R.
Thirugnana, S. T.
author_facet Rossli, S. A.
Ahmad, R.
Thirugnana, S. T.
author_sort Rossli, S. A.
title Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model
title_short Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model
title_full Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model
title_fullStr Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model
title_full_unstemmed Solar harvesting system for a manufacturing plant using energy forecasting ARIMA model
title_sort solar harvesting system for a manufacturing plant using energy forecasting arima model
publisher Regional Energy Resources Information Center (RERIC), Asian Institute of Technology
publishDate 2021
url http://eprints.utm.my/id/eprint/95282/
_version_ 1732945454044282880
score 13.211869

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