Optimal design of a renewable energy-driven polygeneration system: An application in the dairy industry

被引:7
|
作者
Giordano, Lorena [1 ]
Furlan, Gabriele [2 ]
Puglisi, Giovanni [1 ]
Cancellara, Fernando Antonio [1 ]
机构
[1] Italian Natl Agcy New Technol Energy & Sustainable, Via Anguillarese 301, I-00123 Rome, Italy
[2] Sapienza Univ Rome, Piazzale Aldo Moro 5, I-00185 Rome, Italy
关键词
Polygeneration; Renewable energies; Dynamic simulation; Energy optimization; Dairy processing; Process heat and cooling; HEATING-SYSTEM; SOLAR; OPTIMIZATION; OPERATION; PLANT; WATER;
D O I
10.1016/j.jclepro.2023.136933
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The world is experiencing an unprecedented transition towards a low-carbon and renewable-based energy system, driven by the imperatives of mitigating climate changes, building climate resilience and ensuring sus-tainable development. Recently, polygeneration systems based on renewable energies have emerged as a viable solution to support the energy transition since they can improve resource utilization and energy efficiency, thus reducing the dependency on fossil fuels and the environmental impacts on ecosystems.Renewable polygeneration systems can play a significant role in the decarbonization of the food processing industry due to its high thermal energy demand at low and medium temperature levels.This paper presents a detailed analysis of a renewable polygeneration system integrating solar, geothermal and biomass energies and able to produce electricity, heat and cold water. The novelty of this study is the analysis of polygeneration system configurations relying solely on renewable energies and the optimization of the strategy to control the energy exchange between power systems, storage facilities and utilities. Two system configurations based on different power technologies and control strategies are investigated and compared, considering as end-user a milk production process with hot and cold water requirements at different temperature levels and load profiles.To this end, a dynamic model in Matlab/Simulink has been developed to simulate the behaviour of the pol-ygeneration system over time and evaluate its overall energy performance parameters. For each system configuration, the optimal operating strategy has been identified by maximizing the energy conversion efficiency and minimizing the unmet thermal and cooling loads. Simulation results highlighted that, compared to poly-generation systems relying only on fluctuating renewable energies, those including a backup heat source (i.e., a biomass boiler) were able to meet the thermal energy needs of larger and more complex milk production processes.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Energy, Exergy, and Thermo-Economic Analysis of Renewable Energy-Driven Polygeneration Systems for Sustainable Desalination
    Manesh, Mohammad Hasan Khoshgoftar
    Onishi, Viviani Caroline
    [J]. PROCESSES, 2021, 9 (02) : 1 - 29
  • [2] Artificial intelligence application in a renewable energy-driven desalination system: A critical review
    He, Qian
    Zheng, Hongfei
    Ma, Xinglong
    Wang, Lu
    Kong, Hui
    Zhu, Ziye
    [J]. ENERGY AND AI, 2022, 7
  • [3] Robustness within the optimal economic polygeneration system for a dairy industry
    Lobo Correia, Victor Hugo
    de Abreu, Renata Portela
    Carvalho, Monica
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 314
  • [4] Optimal 6E design of an integrated solar energy-driven polygeneration and CO2 capture system: A machine learning approach
    Khani, Nastaran
    Manesh, Mohammad H. Khoshgoftar
    Onishi, Viviani C.
    [J]. THERMAL SCIENCE AND ENGINEERING PROGRESS, 2023, 38
  • [5] A Renewable Energy-driven Water Treatment System in Regional Western Australia
    Shahnia, Farhad
    Fornarelli, Roberta
    Anda, Martin
    Bahri, Parisa A.
    [J]. 2017 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2017,
  • [6] Energy and exergy analysis of a renewable energy-driven ion recovery system for hydroponic greenhouses
    Alshebli, Ragad F.
    Bicer, Yusuf
    [J]. SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 53
  • [7] Beyond Solar Fuels: Renewable Energy-Driven Chemistry
    Lanzafame, Paola
    Abate, Salvatare
    Ampelli, Claudio
    Genovese, Chiara
    Passalacqua, Rosalba
    Centi, Gabriele
    Perathoner, Siglinda
    [J]. CHEMSUSCHEM, 2017, 10 (22) : 4409 - 4419
  • [8] Upgrading ethylene via renewable energy-driven electrocatalysis
    Wang, Hanyu
    Gao, Dunfeng
    Wang, Guoxiong
    Bao, Xinhe
    [J]. SCIENCE CHINA-CHEMISTRY, 2024, : 3944 - 3951
  • [9] Upgrading ethylene via renewable energy-driven electrocatalysis
    Hanyu Wang
    Dunfeng Gao
    Guoxiong Wang
    Xinhe Bao
    [J]. Science China(Chemistry), 2024, 67 (12) : 3944 - 3951
  • [10] Renewable energy-driven desalination opportunities - A case study
    Mollahosseini, Arash
    Abdelrasoul, Amira
    Sheibany, Sina
    Amini, Maryam
    Salestan, Saeed Khoshhal
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019, 239 : 187 - 197