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Optimal model development of energy hub to supply water, heating and electrical demands of a cement factory

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  • Mostafavi Sani, Mostafa
  • Noorpoor, Alireza
  • Shafie-Pour Motlagh, Majid

Abstract

This paper uses the energy hub concept to meet the electricity, heat and water demand of a cement plant. Given the cement plant's high potential for waste heat recovery so the use of recycled waste heat was compared to a state where such waste heat was not used by taking exergy, economic and environmental analyzes into account. The proposed energy hub consists of electricity, heat and desalinated water production equipment. Energy hub is optimized based on the Genetic Algorithm (GA) with the goal of supplying demand, as well as reducing costs and pollutants and increasing the exergy efficiency which ultimately will be selected using the concept of an energy hub at its optimal capacity. By comparing the two energy supplying systems of the current case study and optimal energy hub, results showed that the Total Annual Cost (TAC) level decreased by about 37,000 $/year and exergy efficiency increased by 36%. CO2 emission will also decrease by about 21,620 tons/year. Moreover, in the energy hub concept, the waste heat recovery and ignoring waste heat scenarios were compared. Results indicate that upon optimization, the average of TAC when waste heat is recovered, is 27% of the condition when waste heat is ignored.

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  • Mostafavi Sani, Mostafa & Noorpoor, Alireza & Shafie-Pour Motlagh, Majid, 2019. "Optimal model development of energy hub to supply water, heating and electrical demands of a cement factory," Energy, Elsevier, vol. 177(C), pages 574-592.
  • Handle: RePEc:eee:energy:v:177:y:2019:i:c:p:574-592
    DOI: 10.1016/j.energy.2019.03.043
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    as
    1. Evins, Ralph & Orehounig, Kristina & Dorer, Viktor & Carmeliet, Jan, 2014. "New formulations of the ‘energy hub’ model to address operational constraints," Energy, Elsevier, vol. 73(C), pages 387-398.
    2. Reynolds, Jonathan & Ahmad, Muhammad Waseem & Rezgui, Yacine & Hippolyte, Jean-Laurent, 2019. "Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm," Applied Energy, Elsevier, vol. 235(C), pages 699-713.
    3. Shalaby, S.M., 2017. "Reverse osmosis desalination powered by photovoltaic and solar Rankine cycle power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 789-797.
    4. Rosen, Marc A. & Dincer, Ibrahim & Kanoglu, Mehmet, 2008. "Role of exergy in increasing efficiency and sustainability and reducing environmental impact," Energy Policy, Elsevier, vol. 36(1), pages 128-137, January.
    5. Majidi, Majid & Nojavan, Sayyad & Zare, Kazem, 2017. "A cost-emission framework for hub energy system under demand response program," Energy, Elsevier, vol. 134(C), pages 157-166.
    6. Kabir, G. & Abubakar, A.I. & El-Nafaty, U.A., 2010. "Energy audit and conservation opportunities for pyroprocessing unit of a typical dry process cement plant," Energy, Elsevier, vol. 35(3), pages 1237-1243.
    7. Maroufmashat, Azadeh & Elkamel, Ali & Fowler, Michael & Sattari, Sourena & Roshandel, Ramin & Hajimiragha, Amir & Walker, Sean & Entchev, Evgueniy, 2015. "Modeling and optimization of a network of energy hubs to improve economic and emission considerations," Energy, Elsevier, vol. 93(P2), pages 2546-2558.
    8. Ghaffarpour, Reza & Mozafari, Babak & Ranjbar, Ali Mohammad & Torabi, Taghi, 2018. "Resilience oriented water and energy hub scheduling considering maintenance constraint," Energy, Elsevier, vol. 158(C), pages 1092-1104.
    9. Asgari, Sahar & Noorpoor, A.R. & Boyaghchi, Fateme Ahmadi, 2017. "Parametric assessment and multi-objective optimization of an internal auto-cascade refrigeration cycle based on advanced exergy and exergoeconomic concepts," Energy, Elsevier, vol. 125(C), pages 576-590.
    10. Najafi, Arsalan & Falaghi, Hamid & Contreras, Javier & Ramezani, Maryam, 2016. "Medium-term energy hub management subject to electricity price and wind uncertainty," Applied Energy, Elsevier, vol. 168(C), pages 418-433.
    11. Amiri, S. & Honarvar, M. & sadegheih, A., 2018. "Providing an integrated Model for Planning and Scheduling Energy Hubs and preventive maintenance," Energy, Elsevier, vol. 163(C), pages 1093-1114.
    12. Davatgaran, Vahid & Saniei, Mohsen & Mortazavi, Seyed Saeidollah, 2018. "Optimal bidding strategy for an energy hub in energy market," Energy, Elsevier, vol. 148(C), pages 482-493.
    13. Ramos-Teodoro, Jerónimo & Rodríguez, Francisco & Berenguel, Manuel & Torres, José Luis, 2018. "Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example," Applied Energy, Elsevier, vol. 229(C), pages 537-550.
    14. Ameri, Mohammad & Mokhtari, Hamid & Mostafavi Sani, Mostafa, 2018. "4E analyses and multi-objective optimization of different fuels application for a large combined cycle power plant," Energy, Elsevier, vol. 156(C), pages 371-386.
    15. Boyaghchi, Fateme Ahmadi & Chavoshi, Mansoure & Sabeti, Vajiheh, 2018. "Multi-generation system incorporated with PEM electrolyzer and dual ORC based on biomass gasification waste heat recovery: Exergetic, economic and environmental impact optimizations," Energy, Elsevier, vol. 145(C), pages 38-51.
    16. Myeong Jin Ko & Yong Shik Kim & Min Hee Chung & Hung Chan Jeon, 2015. "Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm," Energies, MDPI, vol. 8(4), pages 1-26, April.
    17. Madlool, N.A. & Saidur, R. & Hossain, M.S. & Rahim, N.A., 2011. "A critical review on energy use and savings in the cement industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2042-2060, May.
    18. Sanaye, Sepehr & Khakpaay, Navid, 2014. "Simultaneous use of MRM (maximum rectangle method) and optimization methods in determining nominal capacity of gas engines in CCHP (combined cooling, heating and power) systems," Energy, Elsevier, vol. 72(C), pages 145-158.
    19. Aghamohamadi, Mehrdad & Samadi, Mahdi & Rahmati, Iman, 2018. "Energy generation cost in multi-energy systems; an application to a non-merchant energy hub in supplying price responsive loads," Energy, Elsevier, vol. 161(C), pages 878-891.
    20. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Hosseinzadeh, Mehdi & Yousefi, Hossein & Khorasani, Sasan Torabzadeh, 2018. "Optimal management of energy hubs and smart energy hubs – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 33-50.
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    7. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Optimization of a multi-generation power, desalination, refrigeration and heating system," Energy, Elsevier, vol. 238(PB).
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