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An Optimisation Approach for Long-Term Industrial Investment Planning

Author

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  • Hür Bütün

    (Industrial Process and Energy Systems Engineering (IPESE), École Polytechnique Fédérale de Lausanne, 1951 Sion, Switzerland)

  • Ivan Kantor

    (Industrial Process and Energy Systems Engineering (IPESE), École Polytechnique Fédérale de Lausanne, 1951 Sion, Switzerland)

  • François Maréchal

    (Industrial Process and Energy Systems Engineering (IPESE), École Polytechnique Fédérale de Lausanne, 1951 Sion, Switzerland)

Abstract

The industrial sector has a large presence in world energy consumption and CO 2 emissions, which has made it one of the focal points for energy and resource efficiency studies. However, large investments are required to retrofit existing industrial plants, which remains the largest barrier to implementing energy saving solutions. Process integration methods can be used to identify the best investments to improve the efficiency of plants, yet their timing remains to be answered using an optimisation approach. Even more critically, such decisions must also account for future investments to avoid stranded or regretted investments. This paper presents a method incorporating investment planning over long time horizons in the framework of process integration. The time horizon is included by formulating the problem using multiple investment periods. Investment planning is conducted using a superstructure approach, which permits both commissioning and decommissioning of units in the beginning of each period. The method is applied to a large case study, with an industrial cluster neighbouring an urban centre to also explore options of heat integration between industries and cities. Compared to the business-as-usual operation, optimal investment planning improves the operating cost of the system by 27% without budget constraints and 16–26% with constraints on budget and investment periods, which is reflected as an increase in net present value and a decrease in CO 2 emissions. In all cases, the operating cost benefits pay off the investment in less than two years. The present work is efficient in finding energy saving solutions based on the interest of industries. This method adds additional perspectives in the decision-making process and is adaptable to various time horizons, budgets and economic constraints.

Suggested Citation

  • Hür Bütün & Ivan Kantor & François Maréchal, 2019. "An Optimisation Approach for Long-Term Industrial Investment Planning," Energies, MDPI, vol. 12(21), pages 1-33, October.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4076-:d:280382
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    References listed on IDEAS

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    1. Napp, T.A. & Gambhir, A. & Hills, T.P. & Florin, N. & Fennell, P.S, 2014. "A review of the technologies, economics and policy instruments for decarbonising energy-intensive manufacturing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 616-640.
    2. Nussbaumer, T. & Thalmann, S., 2016. "Influence of system design on heat distribution costs in district heating," Energy, Elsevier, vol. 101(C), pages 496-505.
    3. Wickart, Marcel & Madlener, Reinhard, 2007. "Optimal technology choice and investment timing: A stochastic model of industrial cogeneration vs. heat-only production," Energy Economics, Elsevier, vol. 29(4), pages 934-952, July.
    4. Bakken, Bjorn H. & Skjelbred, Hans I. & Wolfgang, Ove, 2007. "eTransport: Investment planning in energy supply systems with multiple energy carriers," Energy, Elsevier, vol. 32(9), pages 1676-1689.
    5. Cristóbal, Jorge & Guillén-Gosálbez, Gonzalo & Kraslawski, Andrzej & Irabien, Angel, 2013. "Stochastic MILP model for optimal timing of investments in CO2 capture technologies under uncertainty in prices," Energy, Elsevier, vol. 54(C), pages 343-351.
    6. Hür Bütün & Ivan Kantor & François Maréchal, 2019. "Incorporating Location Aspects in Process Integration Methodology," Energies, MDPI, vol. 12(17), pages 1-45, August.
    7. Maziar Kermani & Ivan D. Kantor & Anna S. Wallerand & Julia Granacher & Adriano V. Ensinas & François Maréchal, 2019. "A Holistic Methodology for Optimizing Industrial Resource Efficiency," Energies, MDPI, vol. 12(7), pages 1-33, April.
    8. Abikoye, Ben & Čuček, Lidija & Isafiade, Adeniyi Jide & Kravanja, Zdravko, 2019. "Integrated design for direct and indirect solar thermal utilization in low temperature industrial operations," Energy, Elsevier, vol. 182(C), pages 381-396.
    9. Bütün, Hür & Kantor, Ivan & Maréchal, François, 2018. "A heat integration method with multiple heat exchange interfaces," Energy, Elsevier, vol. 152(C), pages 476-488.
    10. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2017. "Generation expansion planning with high share of renewables of variable output," Applied Energy, Elsevier, vol. 190(C), pages 1275-1288.
    11. Kwak, Dong-Hun & Binns, Michael & Kim, Jin-Kuk, 2014. "Integrated design and optimization of technologies for utilizing low grade heat in process industries," Applied Energy, Elsevier, vol. 131(C), pages 307-322.
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