IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v45y2012i1p424-435.html
   My bibliography  Save this article

Superstructure-free synthesis and optimization of distributed industrial energy supply systems

Author

Listed:
  • Voll, Philip
  • Lampe, Matthias
  • Wrobel, Gregor
  • Bardow, André

Abstract

A novel approach is proposed for the superstructure-free synthesis and optimization of distributed energy supply systems (DESS) by exploiting the nature of evolutionary algorithms. Current approaches require the designer to define a superstructure, which subsequently is optimized. In the presented method, the a priori specification of a superstructure is avoided: A mutation operator employs generic replacement rules to replace parts of energy supply systems by alternative designs. To minimize both the number of replacement rules and meaningless design alternatives generated during mutation, all energy conversion technologies are classified into the so-called energy conversion hierarchy (ECH). The ECH allows for an efficient definition of all reasonable connections between the regarded components, and the definition of generic replacement rules. Thereby, the hierarchy-supported approach balances richness of the available design space and computational efficiency. In addition, the convenient description of the design space allows for an easy addition of technologies into the optimization problem. The proposed approach thus provides an expandable framework for optimizing DESS. The method is applied to the synthesis of a heating and cooling system. The presented approach efficiently solves retrofit and grassroots design problems. It automatically identifies complex solutions such as trigeneration demonstrating the power of the suggested optimization framework.

Suggested Citation

  • Voll, Philip & Lampe, Matthias & Wrobel, Gregor & Bardow, André, 2012. "Superstructure-free synthesis and optimization of distributed industrial energy supply systems," Energy, Elsevier, vol. 45(1), pages 424-435.
  • Handle: RePEc:eee:energy:v:45:y:2012:i:1:p:424-435
    DOI: 10.1016/j.energy.2012.01.041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544212000461
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2012.01.041?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. Pezzini, Paola & Gomis-Bellmunt, Oriol & Sudrià-Andreu, Antoni, 2011. "Optimization techniques to improve energy efficiency in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2028-2041, May.
    2. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    3. Dimopoulos, George G. & Frangopoulos, Christos A., 2008. "Optimization of energy systems based on Evolutionary and Social metaphors," Energy, Elsevier, vol. 33(2), pages 171-179.
    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. Süle, Zoltán & Baumgartner, János & Dörgő, Gyula & Abonyi, János, 2019. "P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems," Energy, Elsevier, vol. 179(C), pages 989-1003.
    2. Voll, Philip & Jennings, Mark & Hennen, Maike & Shah, Nilay & Bardow, André, 2015. "The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis," Energy, Elsevier, vol. 82(C), pages 446-456.
    3. Lazzaretto, Andrea & Manente, Giovanni & Toffolo, Andrea, 2018. "SYNTHSEP: A general methodology for the synthesis of energy system configurations beyond superstructures," Energy, Elsevier, vol. 147(C), pages 924-949.
    4. Halmschlager, Daniel & Beck, Anton & Knöttner, Sophie & Koller, Martin & Hofmann, René, 2022. "Combined optimization for retrofitting of heat recovery and thermal energy supply in industrial systems," Applied Energy, Elsevier, vol. 305(C).
    5. Capuder, Tomislav & Mancarella, Pierluigi, 2014. "Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options," Energy, Elsevier, vol. 71(C), pages 516-533.
    6. Urban, Kristof L. & Scheller, Fabian & Bruckner, Thomas, 2021. "Suitability assessment of models in the industrial energy system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    7. Voll, Philip & Klaffke, Carsten & Hennen, Maike & Bardow, André, 2013. "Automated superstructure-based synthesis and optimization of distributed energy supply systems," Energy, Elsevier, vol. 50(C), pages 374-388.
    8. Jennings, Mark & Fisk, David & Shah, Nilay, 2014. "Modelling and optimization of retrofitting residential energy systems at the urban scale," Energy, Elsevier, vol. 64(C), pages 220-233.
    9. Chun, André & Donatelli, João Luiz Marcon & Santos, José Joaquim Conceição Soares & Zabeu, Clayton Barcelos & Carvalho, Monica, 2023. "Superstructure optimization of absorption chillers integrated with a large internal combustion engine for waste heat recovery and repowering applications: Thermodynamic and economic assessments," Energy, Elsevier, vol. 263(PE).
    10. Adamantios G. Papatsounis & Pantelis N. Botsaris, 2022. "Improved Structural Local Thermal Energy Planning Based on Prosumer Profile: Part B," Energies, MDPI, vol. 15(20), pages 1-24, October.
    11. Wang, Ligang & Lampe, Matthias & Voll, Philip & Yang, Yongping & Bardow, André, 2016. "Multi-objective superstructure-free synthesis and optimization of thermal power plants," Energy, Elsevier, vol. 116(P1), pages 1104-1116.
    12. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    13. Sergio Rech, 2019. "Smart Energy Systems: Guidelines for Modelling and Optimizing a Fleet of Units of Different Configurations," Energies, MDPI, vol. 12(7), pages 1-36, April.
    14. Sakalis, George N. & Frangopoulos, Christos A., 2018. "Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines," Applied Energy, Elsevier, vol. 226(C), pages 991-1008.
    15. Zheng, Xuyue & Qiu, Yuwei & Zhan, Xiangyan & Zhu, Xingyi & Keirstead, James & Shah, Nilay & Zhao, Yingru, 2017. "Optimization based planning of urban energy systems: Retrofitting a Chinese industrial park as a case-study," Energy, Elsevier, vol. 139(C), pages 31-41.
    16. Lin, Shan & Zhao, Li & Deng, Shuai & Zhao, Dongpeng & Wang, Wei & Chen, Mengchao, 2020. "Intelligent collaborative attainment of structure configuration and fluid selection for the Organic Rankine cycle," Applied Energy, Elsevier, vol. 264(C).
    17. Wang, Ligang & Voll, Philip & Lampe, Matthias & Yang, Yongping & Bardow, André, 2015. "Superstructure-free synthesis and optimization of thermal power plants," Energy, Elsevier, vol. 91(C), pages 700-711.
    18. Lythcke-Jørgensen, Christoffer & Ensinas, Adriano Viana & Münster, Marie & Haglind, Fredrik, 2016. "A methodology for designing flexible multi-generation systems," Energy, Elsevier, vol. 110(C), pages 34-54.
    19. Prebeg, Pero & Gasparovic, Goran & Krajacic, Goran & Duic, Neven, 2016. "Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles," Applied Energy, Elsevier, vol. 184(C), pages 1493-1507.

    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. Baloch, Ashfaque Ahmed & Shaikh, Pervez Hameed & Shaikh, Faheemullah & Leghari, Zohaib Hussain & Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam, 2018. "Simulation tools application for artificial lighting in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3007-3026.
    2. Jordehi, A. Rezaee, 2015. "Optimisation of electric distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1088-1100.
    3. Yang, Zhile & Li, Kang & Foley, Aoife, 2015. "Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 396-416.
    4. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    5. Krzysztof Wąs & Jan Radoń & Agnieszka Sadłowska-Sałęga, 2020. "Maintenance of Passive House Standard in the Light of Long-Term Study on Energy Use in a Prefabricated Lightweight Passive House in Central Europe," Energies, MDPI, vol. 13(11), pages 1-22, June.
    6. De Meyer, Annelies & Cattrysse, Dirk & Rasinmäki, Jussi & Van Orshoven, Jos, 2014. "Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 657-670.
    7. Maria Acuna & Carlos Silva & Andrés Tocaruncho & Diana Vargas & Diego Patiño & David Barrera & Johan Peña, 2021. "Operational Planning of Energy for Non-Interconnected Zones: A Simulation-Optimization Approach and a Case Study to Tackle Energy Poverty in Colombia," Energies, MDPI, vol. 14(10), pages 1-16, May.
    8. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    9. Kim, Sunwoo & Choi, Yechan & Park, Joungho & Adams, Derrick & Heo, Seongmin & Lee, Jay H., 2024. "Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green hydrogen production under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
    10. Ismail, M.S. & Moghavvemi, M. & Mahlia, T.M.I., 2013. "Energy trends in Palestinian territories of West Bank and Gaza Strip: Possibilities for reducing the reliance on external energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 117-129.
    11. Cruz-Peragon, F. & Palomar, J.M. & Casanova, P.J. & Dorado, M.P. & Manzano-Agugliaro, F., 2012. "Characterization of solar flat plate collectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1709-1720.
    12. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    13. Kamjoo, Azadeh & Maheri, Alireza & Putrus, Ghanim A., 2014. "Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems," Energy, Elsevier, vol. 66(C), pages 677-688.
    14. Yuxiao Qin & Guodong Zhao & Qingsong Hua & Li Sun & Soumyadeep Nag, 2019. "Multiobjective Genetic Algorithm-Based Optimization of PID Controller Parameters for Fuel Cell Voltage and Fuel Utilization," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    15. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    16. Hernández-Escobedo, Q. & Rodríguez-García, E. & Saldaña-Flores, R. & Fernández-García, A. & Manzano-Agugliaro, F., 2015. "Solar energy resource assessment in Mexican states along the Gulf of Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 216-238.
    17. Sameh Monna & Ramez Abdallah & Adel Juaidi & Aiman Albatayneh & Antonio Jesús Zapata-Sierra & Francisco Manzano-Agugliaro, 2022. "Potential Electricity Production by Installing Photovoltaic Systems on the Rooftops of Residential Buildings in Jordan: An Approach to Climate Change Mitigation," Energies, MDPI, vol. 15(2), pages 1-15, January.
    18. Shahriyar Nasirov & Carlos Silva & Claudio A. Agostini, 2015. "Investors’ Perspectives on Barriers to the Deployment of Renewable Energy Sources in Chile," Energies, MDPI, vol. 8(5), pages 1-21, April.
    19. Segurado, R. & Madeira, J.F.A. & Costa, M. & Duić, N. & Carvalho, M.G., 2016. "Optimization of a wind powered desalination and pumped hydro storage system," Applied Energy, Elsevier, vol. 177(C), pages 487-499.
    20. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.

    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:45:y:2012:i:1:p:424-435. 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.