Energetic analysis and optimal design of a CHP plant in a frozen food processing factory through a dynamical simulation model

被引:15
作者
Catalano, Filippo [1 ]
Perone, Claudio [2 ]
Iannacci, Valentino [3 ]
Leone, Alessandro [4 ]
Tamborrino, Antonia [4 ]
Bianchi, Biagio [4 ]
机构
[1] Univ Molise, Dept Biosci & Terr, Pesche, IS, Italy
[2] Univ Foggia, Dept Sci Agr Food & Environm, Via Napoli 25, I-71122 Foggia, Italy
[3] Fruttagel SCPA, Via Statale Sannit 87, Larino, CB, Italy
[4] Univ Bari Aldo Moro, Dept Agr & Environm Sci, Via Amendola 165-A, Bari, Italy
关键词
Cogeneration; Dynamical Simulation; Multi-objective analysis optimization; Food Industry; Exergy analysis; COGENERATION PLANT; CO2; EMISSIONS; THERMOECONOMIC ANALYSIS; ECONOMIC OPTIMIZATION; EXERGY ANALYSIS; POWER-SYSTEMS; COMBINED HEAT; CONSUMPTION; INDUSTRY; FUEL;
D O I
10.1016/j.enconman.2020.113444
中图分类号
O414.1 [热力学];
学科分类号
摘要
The proper design of cogeneration plants requires the choice of the technologies that best fits the ratio between heating and power loads. In this paper, a dynamical procedure of selecting and dimensioning a cogeneration plant, using deep and detailed energy, exergy and economic analysis of the entire production process of a frozen food production factory is proposed. The results highlight that a design method, based on a dynamic simulation, optimizes the energy efficiency of the food processing plant involved in the experimental test. Indeed, by considering the overall efficiency of the CHP + National grid system, the energy efficiency is 6% higher in the case of dynamic compared to a static design, resulting in better overall use of resources with a possible lower level of environmental impact. Moreover, the CHP plant designed with the proposed method generates electrical energy which appropriately matches that required by the process, with a surplus/deficit less than 4%, while the classic method never covers the amount required and results in a deficit greater than 20%. Finally, the annual savings of the solution derived from the dynamic method is 12% higher than that obtained with a traditional design technique. Considering the greater absolute cost of the cogeneration plant, this dynamic approach results in more profitable annual investment margins for the company.
引用
收藏
页数:14
相关论文
共 50 条
[1]   Dynamic Simulation of a Trigeneration Scheme for Domestic Purposes Based on Hybrid Techniques [J].
Acevedo, Luis ;
Uche, Javier ;
Del Almo, Alejandro ;
Cirez, Fernando ;
Uson, Sergio ;
Martinez, Amaya ;
Guedea, Isabel .
ENERGIES, 2016, 9 (12)
[2]   A review on exergy analysis of drying processes and systems [J].
Aghbashlo, Mortaza ;
Mobli, Hossein ;
Rafiee, Shahin ;
Madadlou, Ashkan .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 22 :1-22
[3]   Multi-objective optimization of a combined heat and power (CHP) system for heating purpose in a paper mill using evolutionary algorithm [J].
Ahmadi, P. ;
Almasi, A. ;
Shahriyari, M. ;
Dincer, I. .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2012, 36 (01) :46-63
[4]   Review of tri-generation technologies: Design evaluation, optimization, decision-making, and selection approach [J].
Al Moussawi, Houssein ;
Fardoun, Farouk ;
Louahlia-Gualous, Hasna .
ENERGY CONVERSION AND MANAGEMENT, 2016, 120 :157-196
[5]  
[Anonymous], 2000, ENERGY SAVER COG FEA, P26
[6]   A mixed integer programming model for optimal design of trigeneration in a hospital complex [J].
Arcuri, P. ;
Florio, G. ;
Fragiacomo, P. .
ENERGY, 2007, 32 (08) :1430-1447
[7]   CO2 Employment as Refrigerant Fluid with a Low Environmental Impact. Experimental Tests on Arugula and Design Criteria for a Test Bench [J].
Bianchi, Biagio ;
Cavone, Giuseppe ;
Cice, Gianpaolo ;
Tamborrino, Antonia ;
Amodio, Marialuisa ;
Capotorto, Imperatrice ;
Catalano, Pasquale .
SUSTAINABILITY, 2015, 7 (04) :3734-3752
[8]  
Bianco V., 2015, ASME ATI UIT 2015 C
[9]   Implementation of a cogeneration plant for a food processing facility. A case study [J].
Bianco, Vincenzo ;
De Rosa, Mattia ;
Scarpa, Federico ;
Tagliafico, Luca A. .
APPLIED THERMAL ENGINEERING, 2016, 102 :500-512
[10]   Dynamic simulation and thermo-economic analysis of a PhotoVoltaic/Thermal collector heating system for an indoor-outdoor swimming pool [J].
Buonomano, Annamaria ;
De Luca, Giuseppina ;
Figaj, Rafal Damian ;
Vanoli, Laura .
ENERGY CONVERSION AND MANAGEMENT, 2015, 99 :176-192