IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v175y2019icp941-951.html
   My bibliography  Save this article

Integrating industrial waste heat recovery into sustainable smart energy systems

Author

Listed:
  • Simeoni, Patrizia
  • Ciotti, Gellio
  • Cottes, Mattia
  • Meneghetti, Antonella

Abstract

To achieve the EU climate and energy objectives, a transition towards a future sustainable energy system is needed. The integration of the huge potential for industrial waste heat recovery into smart energy system represents a main opportunity to accomplish these goals. To successfully implement this strategy, all the several stakeholders' conflicting objectives should be considered. In this paper an evolutionary multi-objective optimization model is developed to perform a sustainability evaluation of an energy system involving an industrial facility as the waste heat source and the neighbourhood as district heating network end users. An Italian case study of heat recovery from a steel casting facility shows how the model allows to properly select the district heating network set of users to fully exploit the available waste energy. Design directions such as the thermal energy storage capacity can be also provided. Moreover, the model enables the analysis of the trade-off between the stakeholders’ different perspectives, allowing to identify possible win-win solutions for both the industrial sector and the citizenship.

Suggested Citation

  • Simeoni, Patrizia & Ciotti, Gellio & Cottes, Mattia & Meneghetti, Antonella, 2019. "Integrating industrial waste heat recovery into sustainable smart energy systems," Energy, Elsevier, vol. 175(C), pages 941-951.
  • Handle: RePEc:eee:energy:v:175:y:2019:i:c:p:941-951
    DOI: 10.1016/j.energy.2019.03.104
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219305080
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2019.03.104?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gebremedhin, Alemayehu, 2014. "Optimal utilisation of heat demand in district heating system—A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 230-236.
    2. Nielsen, Steffen, 2014. "A geographic method for high resolution spatial heat planning," Energy, Elsevier, vol. 67(C), pages 351-362.
    3. Sartor, K. & Quoilin, S. & Dewallef, P., 2014. "Simulation and optimization of a CHP biomass plant and district heating network," Applied Energy, Elsevier, vol. 130(C), pages 474-483.
    4. Bordin, Chiara & Gordini, Angelo & Vigo, Daniele, 2016. "An optimization approach for district heating strategic network design," European Journal of Operational Research, Elsevier, vol. 252(1), pages 296-307.
    5. Fazlollahi, Samira & Becker, Gwenaelle & Ashouri, Araz & Maréchal, François, 2015. "Multi-objective, multi-period optimization of district energy systems: IV – A case study," Energy, Elsevier, vol. 84(C), pages 365-381.
    6. Perry, Simon & Klemeš, Jiří & Bulatov, Igor, 2008. "Integrating waste and renewable energy to reduce the carbon footprint of locally integrated energy sectors," Energy, Elsevier, vol. 33(10), pages 1489-1497.
    7. Vesterlund, Mattias & Toffolo, Andrea & Dahl, Jan, 2017. "Optimization of multi-source complex district heating network, a case study," Energy, Elsevier, vol. 126(C), pages 53-63.
    8. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2016. "Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout," Energy, Elsevier, vol. 116(P1), pages 619-636.
    9. Guelpa, Elisa & Toro, Claudia & Sciacovelli, Adriano & Melli, Roberto & Sciubba, Enrico & Verda, Vittorio, 2016. "Optimal operation of large district heating networks through fast fluid-dynamic simulation," Energy, Elsevier, vol. 102(C), pages 586-595.
    10. Roberto Aringhieri & Federico Malucelli, 2003. "Optimal Operations Management and Network Planning of a District Heating System with a Combined Heat and Power Plant," Annals of Operations Research, Springer, vol. 120(1), pages 173-199, April.
    11. Pavičević, Matija & Novosel, Tomislav & Pukšec, Tomislav & Duić, Neven, 2017. "Hourly optimization and sizing of district heating systems considering building refurbishment – Case study for the city of Zagreb," Energy, Elsevier, vol. 137(C), pages 1264-1276.
    12. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    13. Gadd, Henrik & Werner, Sven, 2013. "Heat load patterns in district heating substations," Applied Energy, Elsevier, vol. 108(C), pages 176-183.
    14. Liew, Peng Yen & Wan Alwi, Sharifah Rafidah & Ho, Wai Shin & Abdul Manan, Zainuddin & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2018. "Multi-period energy targeting for Total Site and Locally Integrated Energy Sectors with cascade Pinch Analysis," Energy, Elsevier, vol. 155(C), pages 370-380.
    15. Connolly, D. & Lund, H. & Mathiesen, B.V. & Werner, S. & Möller, B. & Persson, U. & Boermans, T. & Trier, D. & Østergaard, P.A. & Nielsen, S., 2014. "Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system," Energy Policy, Elsevier, vol. 65(C), pages 475-489.
    16. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    17. Verda, Vittorio & Colella, Francesco, 2011. "Primary energy savings through thermal storage in district heating networks," Energy, Elsevier, vol. 36(7), pages 4278-4286.
    18. Möller, Bernd & Wiechers, Eva & Persson, Urban & Grundahl, Lars & Connolly, David, 2018. "Heat Roadmap Europe: Identifying local heat demand and supply areas with a European thermal atlas," Energy, Elsevier, vol. 158(C), pages 281-292.
    19. Simeoni, Patrizia & Nardin, Gioacchino & Ciotti, Gellio, 2018. "Planning and design of sustainable smart multi energy systems. The case of a food industrial district in Italy," Energy, Elsevier, vol. 163(C), pages 443-456.
    20. Mertz, Théophile & Serra, Sylvain & Henon, Aurélien & Reneaume, Jean-Michel, 2016. "A MINLP optimization of the configuration and the design of a district heating network: Academic study cases," Energy, Elsevier, vol. 117(P2), pages 450-464.
    21. Grundahl, Lars & Nielsen, Steffen & Lund, Henrik & Möller, Bernd, 2016. "Comparison of district heating expansion potential based on consumer-economy or socio-economy," Energy, Elsevier, vol. 115(P3), pages 1771-1778.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Franz Zach & Florian Kretschmer & Gernot Stoeglehner, 2019. "Integrating Energy Demand and Local Renewable Energy Sources in Smart Urban Development Zones: New Options for Climate-Friendly Resilient Urban Planning," Energies, MDPI, vol. 12(19), pages 1-28, September.
    2. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad & Hajizadeh, Amin & Mohammadi-ivatloo, Behnam, 2022. "A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    3. Hrvoje Dorotić & Kristijan Čuljak & Josip Miškić & Tomislav Pukšec & Neven Duić, 2022. "Technical and Economic Assessment of Supermarket and Power Substation Waste Heat Integration into Existing District Heating Systems," Energies, MDPI, vol. 15(5), pages 1-29, February.
    4. Anna Grzegórska & Piotr Rybarczyk & Valdas Lukoševičius & Joanna Sobczak & Andrzej Rogala, 2021. "Smart Asset Management for District Heating Systems in the Baltic Sea Region," Energies, MDPI, vol. 14(2), pages 1-25, January.
    5. Knudsen, Brage Rugstad & Rohde, Daniel & Kauko, Hanne, 2021. "Thermal energy storage sizing for industrial waste-heat utilization in district heating: A model predictive control approach," Energy, Elsevier, vol. 234(C).
    6. Nakama, Caroline S.M. & Knudsen, Brage R. & Tysland, Agnes C. & Jäschke, Johannes, 2023. "A simple dynamic optimization-based approach for sizing thermal energy storage using process data," Energy, Elsevier, vol. 268(C).
    7. Miguel Castro Oliveira & Muriel Iten & Pedro L. Cruz & Helena Monteiro, 2020. "Review on Energy Efficiency Progresses, Technologies and Strategies in the Ceramic Sector Focusing on Waste Heat Recovery," Energies, MDPI, vol. 13(22), pages 1-24, November.
    8. Mattia Cottes & Matia Mainardis & Daniele Goi & Patrizia Simeoni, 2020. "Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach," Energies, MDPI, vol. 13(18), pages 1-15, September.
    9. Rahul Kumar & Arash Kariminejad & Maksim Antonov & Dmitri Goljandin & Piotr Klimczyk & Irina Hussainova, 2023. "Progress in Sustainable Recycling and Circular Economy of Tungsten Carbide Hard Metal Scraps for Industry 5.0 and Onwards," Sustainability, MDPI, vol. 15(16), pages 1-35, August.
    10. Ungerman Otakar & Dědková Jaroslava, 2021. "Current Implementation of the Circular Economy in Enterprises in the Czech Republic," Review of Economic Perspectives, Sciendo, vol. 21(2), pages 189-210, June.
    11. Théry Hétreux, Raphaële & Hétreux, Gilles & Floquet, Pascal & Leclercq, Alexandre, 2021. "The energy Extended Resource Task Network, a general formalism for the modeling of production systems:Application to waste heat valorization," Energy, Elsevier, vol. 214(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vesterlund, Mattias & Toffolo, Andrea & Dahl, Jan, 2017. "Optimization of multi-source complex district heating network, a case study," Energy, Elsevier, vol. 126(C), pages 53-63.
    2. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    3. Schweiger, Gerald & Larsson, Per-Ola & Magnusson, Fredrik & Lauenburg, Patrick & Velut, Stéphane, 2017. "District heating and cooling systems – Framework for Modelica-based simulation and dynamic optimization," Energy, Elsevier, vol. 137(C), pages 566-578.
    4. Blommaert, Maarten & Wack, Y. & Baelmans, M., 2020. "An adjoint optimization approach for the topological design of large-scale district heating networks based on nonlinear models," Applied Energy, Elsevier, vol. 280(C).
    5. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    6. Wang, Hai & Wang, Haiying & Haijian, Zhou & Zhu, Tong, 2017. "Optimization modeling for smart operation of multi-source district heating with distributed variable-speed pumps," Energy, Elsevier, vol. 138(C), pages 1247-1262.
    7. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    8. Chambers, Jonathan & Narula, Kapil & Sulzer, Matthias & Patel, Martin K., 2019. "Mapping district heating potential under evolving thermal demand scenarios and technologies: A case study for Switzerland," Energy, Elsevier, vol. 176(C), pages 682-692.
    9. Danica Djurić Ilić, 2020. "Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review," Energies, MDPI, vol. 14(1), pages 1-27, December.
    10. Salah Vaisi & Saleh Mohammadi & Kyoumars Habibi, 2021. "Heat Mapping, a Method for Enhancing the Sustainability of the Smart District Heat Networks," Energies, MDPI, vol. 14(17), pages 1-17, September.
    11. Fester, Jakob & Østergaard, Peter Friis & Bentsen, Fredrik & Nielsen, Brian Kongsgaard, 2023. "A data-driven method for heat loss estimation from district heating service pipes using heat meter- and GIS data," Energy, Elsevier, vol. 277(C).
    12. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2017. "Decarbonizing the electricity grid: The impact on urban energy systems, distribution grids and district heating potential," Applied Energy, Elsevier, vol. 191(C), pages 125-140.
    13. Averfalk, Helge & Werner, Sven, 2018. "Novel low temperature heat distribution technology," Energy, Elsevier, vol. 145(C), pages 526-539.
    14. Sang Hwa Song & Taesu Cheong, 2018. "Pattern-Based Set Partitioning Algorithm for the Integrated Sustainable Operation of a District Heating Network," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    15. Serafeim Moustakidis & Ioannis Meintanis & George Halikias & Nicos Karcanias, 2019. "An Innovative Control Framework for District Heating Systems: Conceptualisation and Preliminary Results," Resources, MDPI, vol. 8(1), pages 1-15, January.
    16. Régis Delubac & Sylvain Serra & Sabine Sochard & Jean-Michel Reneaume, 2021. "A Dynamic Optimization Tool to Size and Operate Solar Thermal District Heating Networks Production Plants," Energies, MDPI, vol. 14(23), pages 1-27, November.
    17. Kazagic, Anes & Merzic, Ajla & Redzic, Elma & Tresnjo, Dino, 2019. "Optimization of modular district heating solution based on CHP and RES - Demonstration case of the Municipality of Visoko," Energy, Elsevier, vol. 181(C), pages 56-65.
    18. Calikus, Ece & Nowaczyk, Sławomir & Sant'Anna, Anita & Gadd, Henrik & Werner, Sven, 2019. "A data-driven approach for discovering heat load patterns in district heating," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    19. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    20. Thibaut Résimont & Quentin Louveaux & Pierre Dewallef, 2021. "Optimization Tool for the Strategic Outline and Sizing of District Heating Networks Using a Geographic Information System," Energies, MDPI, vol. 14(17), pages 1-24, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:175:y:2019:i:c:p:941-951. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.