F. Dusuki , R. Zailan , F.Z. Mansor , K. Jamaluddin
{"title":"Empowering the steel industry with solar: Sustainable energy for a greener future","authors":"F. Dusuki , R. Zailan , F.Z. Mansor , K. Jamaluddin","doi":"10.1016/j.seta.2025.104298","DOIUrl":null,"url":null,"abstract":"<div><div>Steel manufacturing is an energy-intensive industry that grappling with rising electricity costs and substantial carbon emissions. While renewable energy is gaining attention, the integration of large-scale industrial solar photovoltaic (PV) systems remains challenging due to space constraints, fluctuating energy demands, and financial limitations. Most existing research focuses on small-scale commercial and residential solar installations. It leaves a gap in large-scale industrial systems, which require customized stringing, adaptive inverter sizing, and optimized DC/AC ratios. This research explores how to design an optimized large-scale rooftop PV system for steel manufacturing to maximize performance and profitability. The methodology involves designing and simulating a 2.8 MWp rooftop solar PV system using PVsyst software. Following this, technology selection, technical performance, economic, environmental, and sensitivity analyses were conducted. The performance ratio analysis identified a 1.43 DC/AC ratio as optimal, achieving a PR of 81.67 %. A comparative analysis between self-consumption (SELCO) and Net Offset Virtual Aggregation (NOVA) demonstrated that SELCO is the superior option, yielding RM 7.87 million in annual savings with a 9.5-month payback period. Electricity consumption of 312,417.25 kWh/month contributes to a greenhouse gas emission reduction of approximately 236.81 tons CO<sub>2</sub>-eq. The sensitivity analysis revealed that as DC voltage drop increased from 2.70 % to 3.30 %, energy output declined, leading to a simultaneous rise in DC losses from 0.78 % to 1.14 %.These findings highlighted large-scale solar PV as a viable decarbonization strategy. Additionally, the design integrates technical performance, financial, and environmental factors into a holistic framework to facilitate solar PV adoption in heavy industries.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"76 ","pages":"Article 104298"},"PeriodicalIF":7.1000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138825001298","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Steel manufacturing is an energy-intensive industry that grappling with rising electricity costs and substantial carbon emissions. While renewable energy is gaining attention, the integration of large-scale industrial solar photovoltaic (PV) systems remains challenging due to space constraints, fluctuating energy demands, and financial limitations. Most existing research focuses on small-scale commercial and residential solar installations. It leaves a gap in large-scale industrial systems, which require customized stringing, adaptive inverter sizing, and optimized DC/AC ratios. This research explores how to design an optimized large-scale rooftop PV system for steel manufacturing to maximize performance and profitability. The methodology involves designing and simulating a 2.8 MWp rooftop solar PV system using PVsyst software. Following this, technology selection, technical performance, economic, environmental, and sensitivity analyses were conducted. The performance ratio analysis identified a 1.43 DC/AC ratio as optimal, achieving a PR of 81.67 %. A comparative analysis between self-consumption (SELCO) and Net Offset Virtual Aggregation (NOVA) demonstrated that SELCO is the superior option, yielding RM 7.87 million in annual savings with a 9.5-month payback period. Electricity consumption of 312,417.25 kWh/month contributes to a greenhouse gas emission reduction of approximately 236.81 tons CO2-eq. The sensitivity analysis revealed that as DC voltage drop increased from 2.70 % to 3.30 %, energy output declined, leading to a simultaneous rise in DC losses from 0.78 % to 1.14 %.These findings highlighted large-scale solar PV as a viable decarbonization strategy. Additionally, the design integrates technical performance, financial, and environmental factors into a holistic framework to facilitate solar PV adoption in heavy industries.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.