Improving Productivity at a Marble Processing Plant Through Energy and Exergy Analysis

被引:3
作者
Oweh, Samuel Oghale [1 ]
Aigba, Peter Alenoghena [2 ]
Samuel, Olusegun David [2 ,3 ]
Oyekale, Joseph [2 ]
Abam, Fidelis Ibiang [4 ]
Veza, Ibham [5 ]
Enweremadu, Christopher Chintua [3 ]
Der, Oguzhan [6 ]
Ercetin, Ali [7 ]
Sener, Ramazan [6 ]
机构
[1] Delta State Univ, Fac Engn, Dept Mech Engn, Oleh Campus, Oleh 334109, Nigeria
[2] Fed Univ Petr Resources, Coll Technol, Dept Mech Engn, PMB 1221, Warri, Nigeria
[3] Univ South Africa, Dept Mech Bioresources & Biomed Engn, Sci Campus,Private Bag X6, ZA-1709 Florida, South Africa
[4] Univ Calabar, Dept Mech Engn, Energy Exergy & Environm Res Grp EEERG, Calabar 540281, Nigeria
[5] Univ Bung Karno, Fac Engn, Dept Mech Engn, Jl Kimia 20 Menteng, Jakarta 10320, Indonesia
[6] Bandirma Onyedi Eylul Univ, Maritime Fac, Dept Marine Vehicles Management Engn, TR-10200 Bandirma, Turkiye
[7] Bandirma Onyedi Eylul Univ, Maritime Fac, Dept Naval Architecture & Marine Engn, TR-10200 Bandirma, Turkiye
关键词
exergy; exergetic performance; marble processing; simulation; irreversibilities; efficiency; Aspen Plus model; WASTE HEAT-RECOVERY; CEMENT PLANT; CO2; EMISSIONS; RAW MILL; SIMULATION; TECHNOLOGIES; CONSUMPTION; EFFICIENCY; CONCRETE;
D O I
10.3390/su162411233
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A marble processing plant (MPP) can achieve sustainable development by implementing energy-saving and consumption-reduction technology. Reducing energy loss in such an energy-intensive plant is crucial for overall energy savings. This study establishes an MPP optimization model based on the second law of thermodynamics and the law of conservation of mass. Marble is an aesthetically pleasing and long-lasting building material that has boosted economies in European and sub-Saharan African nations. However, high energy costs and scarcity have constrained the industry's economic potential and hindered the achievement of optimal levels of production. The second law of thermodynamics is adopted to study the irreversibilities, inefficiencies, and exergetic performance of a marble processing plant. The Aspen Plus commercial software application is used to model and generate thermodynamic data, determine energy flow streams and conduct sensitivity and optimization analysis to improve data quality and energetic performance outcomes. From the results, the various scales of the exergetic destruction, efficiencies, and exergetic losses are determined, and recommendations are established. The overall energy and exergy efficiency levels were determined to be 87.43% and 86.84%, respectively, with a total exergetic destruction of 200.61 kW. The reported methodologies, cutting-edge ideas, and solutions will give industrialists and other significant stakeholders in the global manufacturing sector cutting-edge information about energy usage and ways to cut energy losses in both new and existing factory designs, manage energy cost components, and adjust energy efficiency to maximize productivity.
引用
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页数:30
相关论文
共 107 条
[51]   Waste heat recovery technologies and applications [J].
Jouhara, Hussam ;
Khordehgah, Navid ;
Almahmoud, Sulaiman ;
Delpech, Bertrand ;
Chauhan, Amisha ;
Tassou, Savvas A. .
THERMAL SCIENCE AND ENGINEERING PROGRESS, 2018, 6 :268-289
[52]  
Klee H., 2009, The Cement Sustainability Initiative: Recycling Concrete-Summary
[53]  
Kotas T., 1980, International Journal of Heat and Fluid Flow, V2, P147, DOI DOI 10.1016/0142-727X(80)90010-7
[54]  
Kotas TJ., 1995, The exergy method of thermal plant analysis
[55]   SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems [J].
Lazzaretto, A ;
Tsatsaronis, G .
ENERGY, 2006, 31 (8-9) :1257-1289
[56]  
Luhar S, 2016, Multi-disciplinary sustainable engineering: current and future trends, P77
[57]   Economic, environmental and exergy analysis of the decarbonisation of cement production cycle [J].
Mancini, Valentino ;
Verdone, Nicola ;
Trinca, Antonio ;
Vilardi, Giorgio .
ENERGY CONVERSION AND MANAGEMENT, 2022, 260
[58]   Distributionally Robust Scheduling for Benefit Allocation in Regional Integrated Energy System with Multiple Stakeholders [J].
Meng, Qinglin ;
Jin, Xiaolong ;
Luo, Fengzhang ;
Wang, Zhongguan ;
Hussain, Sheharyar .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2024, 12 (05) :1631-1642
[59]   Exergoenvironmental analysis for evaluation of the environmental impact of energy conversion systems [J].
Meyer, Lutz ;
Tsatsaronis, George ;
Buchgeister, Jens ;
Schebek, Liselotte .
ENERGY, 2009, 34 (01) :75-89
[60]  
Moran M.J., 2010, Fundamentals of engineering thermodynamics