This book focuses on optimizing energy consumption costs within an industrial complex that relies on three distinct energy sources: industrial electricity, natural gas, and solar power. Before implementing any optimization strategies, the study begins with a comprehensive audit of the company’s existing energy system. This crucial first step involves collecting detailed data categorized by energy source, specific equipment or production tools, and end-use applications such as heating, cooling, lighting, and ventilation. By analyzing a full year of operational data, the audit precisely identifies the energy consumption and associated costs for each piece of equipment. With a dual objective of enhancing both energy efficiency and economic performance, the book then applies the Simplex algorithm. This linear programming method is used to resolve the optimal energy mix and allocate machine hours effectively. The resolution follows a two-phase technique, tackling the energy allocation problem first, followed by the scheduling of machine operations.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Seller Inventory # 9786209779893
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses on optimizing energy consumption costs within an industrial complex that relies on three distinct energy sources: industrial electricity, natural gas, and solar power. Before implementing any optimization strategies, the study begins with a comprehensive audit of the company's existing energy system. This crucial first step involves collecting detailed data categorized by energy source, specific equipment or production tools, and end-use applications such as heating, cooling, lighting, and ventilation. By analyzing a full year of operational data, the audit precisely identifies the energy consumption and associated costs for each piece of equipment. With a dual objective of enhancing both energy efficiency and economic performance, the book then applies the Simplex algorithm. This linear programming method is used to resolve the optimal energy mix and allocate machine hours effectively. The resolution follows a two-phase technique, tackling the energy allocation problem first, followed by the scheduling of machine operations. Seller Inventory # 9786209779893
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on optimizing energy consumption costs within an industrial complex that relies on three distinct energy sources: industrial electricity, natural gas, and solar power. Before implementing any optimization strategies, the study begins with a comprehensive audit of the company's existing energy system. This crucial first step involves collecting detailed data categorized by energy source, specific equipment or production tools, and end-use applications such as heating, cooling, lighting, and ventilation. By analyzing a full year of operational data, the audit precisely identifies the energy consumption and associated costs for each piece of equipment. With a dual objective of enhancing both energy efficiency and economic performance, the book then applies the Simplex algorithm. This linear programming method is used to resolve the optimal energy mix and allocate machine hours effectively. The resolution follows a two-phase technique, tackling the energy allocation problem first, followed by the scheduling of machine operations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786209779893
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Optimization of the Industrial Energy Mix Using the Simplex Algorithm | Energy Optimization and Task Scheduling in an Electrochemical Company | Hakim Chennoufi | Taschenbuch | Englisch | 2026 | GlobeEdit | EAN 9786209779893 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 134937298
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