IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i20p7708-d946576.html
   My bibliography  Save this article

Improved Structural Local Thermal Energy Planning Based on Prosumer Profile: Part B

Author

Listed:
  • Adamantios G. Papatsounis

    (Department of Production and Management Engineering, Laboratory of Mechanical Design (MeDiLab), Sector of Materials, Processes and Mechanics, Democritus University of Thrace, Vas. Sofias 12, 67100 Xanthi, Greece)

  • Pantelis N. Botsaris

    (Department of Production and Management Engineering, Laboratory of Mechanical Design (MeDiLab), Sector of Materials, Processes and Mechanics, Democritus University of Thrace, Vas. Sofias 12, 67100 Xanthi, Greece)

Abstract

Distributed energy systems (DES) are currently at the forefront of the energy transition. Their placement brings production closer to the demand side of urban and sub-urban environments, making optimal design a necessity. However, the complexity of accurately addressing the energy demands via DES has received increasing research attention. This is mainly due to the impact they have on the energy transition’s socioeconomic aspect, as these systems are far from viable in most cases, especially when cutting-edge renewable technologies are involved. The current study aims to provide a practical and non-repetitive approach to DES design, explicitly referring to thermal distributed supply systems (TDESS). The authors present the last two of their three-layer Hierarchically Dependent Layering Methodology (HDLM) approach in designing a thermal local energy community (TLEC) from the ground up. The 2nd layer is the superstructure design of the TLEC, where a map approach is introduced and explores several combinations of the selected equipment, how they will interact to meet the heating and cooling loads and how they will form the superstructure. The 3rd is the economic assessment of the proposed scenario. The study results indicate relative ease of use of the model, as a non a priori approach is needed. Additionally, the proposed solution is economically viable as the respective performance indicators suggest.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7708-:d:946576
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/20/7708/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/20/7708/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Langer, Jannis & Quist, Jaco & Blok, Kornelis, 2020. "Recent progress in the economics of ocean thermal energy conversion: Critical review and research agenda," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    2. Adamantios G. Papatsounis & Pantelis N. Botsaris & Stefanos Katsavounis, 2022. "Thermal/Cooling Energy on Local Energy Communities: A Critical Review," Energies, MDPI, vol. 15(3), pages 1-20, February.
    3. 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.
    4. Hemmatabady, Hoofar & Welsch, Bastian & Formhals, Julian & Sass, Ingo, 2022. "AI-based enviro-economic optimization of solar-coupled and standalone geothermal systems for heating and cooling," Applied Energy, Elsevier, vol. 311(C).
    5. Ali Mostafaeipour & Ali Sadeghi Sedeh & Shahariar Chowdhury & Kuaanan Techato, 2020. "Ranking Potential Renewable Energy Systems to Power On-Farm Fertilizer Production," Sustainability, MDPI, vol. 12(19), pages 1-27, September.
    6. Akorede, Mudathir Funsho & Hizam, Hashim & Pouresmaeil, Edris, 2010. "Distributed energy resources and benefits to the environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 724-734, February.
    7. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    8. Navarro, Lidia & de Gracia, Alvaro & Colclough, Shane & Browne, Maria & McCormack, Sarah J. & Griffiths, Philip & Cabeza, Luisa F., 2016. "Thermal energy storage in building integrated thermal systems: A review. Part 1. active storage systems," Renewable Energy, Elsevier, vol. 88(C), pages 526-547.
    9. Kazas, Georgios & Fabrizio, Enrico & Perino, Marco, 2017. "Energy demand profile generation with detailed time resolution at an urban district scale: A reference building approach and case study," Applied Energy, Elsevier, vol. 193(C), pages 243-262.
    10. 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.
    11. Martyna Daria Swiatczak, 2022. "Different algorithms, different models," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 1913-1937, August.
    12. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    13. Dascalaki, E.G. & Balaras, C.A. & Gaglia, A.G. & Droutsa, K.G. & Kontoyiannidis, S., 2012. "Energy performance of buildings—EPBD in Greece," Energy Policy, Elsevier, vol. 45(C), pages 469-477.
    14. Diakoulaki, D. & Karangelis, F., 2007. "Multi-criteria decision analysis and cost-benefit analysis of alternative scenarios for the power generation sector in Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 716-727, May.
    15. Ban, Marko & Krajačić, Goran & Grozdek, Marino & Ćurko, Tonko & Duić, Neven, 2012. "The role of cool thermal energy storage (CTES) in the integration of renewable energy sources (RES) and peak load reduction," Energy, Elsevier, vol. 48(1), pages 108-117.
    16. Bazri, Shahab & Badruddin, Irfan Anjum & Naghavi, Mohammad Sajad & Bahiraei, Mehdi, 2018. "A review of numerical studies on solar collectors integrated with latent heat storage systems employing fins or nanoparticles," Renewable Energy, Elsevier, vol. 118(C), pages 761-778.
    17. Abdon, Andreas & Zhang, Xiaojin & Parra, David & Patel, Martin K. & Bauer, Christian & Worlitschek, Jörg, 2017. "Techno-economic and environmental assessment of stationary electricity storage technologies for different time scales," Energy, Elsevier, vol. 139(C), pages 1173-1187.
    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. Lygouras, Eleftherios & Papatsounis, Adamantios G. & Botsaris, Pantelis N. & Pechtelidis, Alexandros, 2023. "Optimization & techno-economic analysis of a hybrid system with thermal energy storage within a LEC," Renewable Energy, Elsevier, vol. 215(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. Mohamed Ali Elleuch & Marwa Mallek & Ahmed Frikha & Wafik Hachicha & Awad M. Aljuaid & Murad Andejany, 2021. "Solving a Multiple User Energy Source Selection Problem Using a Fuzzy Multi-Criteria Group Decision-Making Approach," Energies, MDPI, vol. 14(14), pages 1-16, July.
    2. Luca Brunelli & Emiliano Borri & Anna Laura Pisello & Andrea Nicolini & Carles Mateu & Luisa F. Cabeza, 2024. "Thermal Energy Storage in Energy Communities: A Perspective Overview through a Bibliometric Analysis," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
    3. 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).
    4. 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.
    5. Fridgen, Gilbert & Halbrügge, Stephanie & Olenberger, Christian & Weibelzahl, Martin, 2020. "The insurance effect of renewable distributed energy resources against uncertain electricity price developments," Energy Economics, Elsevier, vol. 91(C).
    6. Zhang, Chong & Xue, Xue & Du, Qianzhou & Luo, Yimo & Gang, Wenjie, 2019. "Study on the performance of distributed energy systems based on historical loads considering parameter uncertainties for decision making," Energy, Elsevier, vol. 176(C), pages 778-791.
    7. Colla, Martin & Ioannou, Anastasia & Falcone, Gioia, 2020. "Critical review of competitiveness indicators for energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    8. 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.
    9. Pinto, Edwin S. & Gronier, Timothé & Franquet, Erwin & Serra, Luis M., 2023. "Opportunities and economic assessment for a third-party delivering electricity, heat and cold to residential buildings," Energy, Elsevier, vol. 272(C).
    10. Songrui Li & Yitang Hu, 2022. "A Multi-Criteria Framework to Evaluate the Sustainability of Renewable Energy: A 2-Tuple Linguistic Grey Relation Model from the Perspective of the Prospect Theory," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    11. Kang, Jing & Wang, Shengwei, 2018. "Robust optimal design of distributed energy systems based on life-cycle performance analysis using a probabilistic approach considering uncertainties of design inputs and equipment degradations," Applied Energy, Elsevier, vol. 231(C), pages 615-627.
    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. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach," Applied Energy, Elsevier, vol. 222(C), pages 932-950.
    19. Visa, Ion & Moldovan, Macedon & Duta, Anca, 2019. "Novel triangle flat plate solar thermal collector for facades integration," Renewable Energy, Elsevier, vol. 143(C), pages 252-262.
    20. Cocco, Daniele & Serra, Fabio & Tola, Vittorio, 2013. "Assessment of energy and economic benefits arising from syngas storage in IGCC power plants," Energy, Elsevier, vol. 58(C), pages 635-643.

    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:gam:jeners:v:15:y:2022:i:20:p:7708-:d:946576. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.