IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v228y2018icp2288-2297.html
   My bibliography  Save this article

Energy planning of sustainable districts: Towards the exploitation of small size intermittent renewables in urban areas

Author

Listed:
  • Bracco, Stefano
  • Delfino, Federico
  • Ferro, Giulio
  • Pagnini, Luisa
  • Robba, Michela
  • Rossi, Mansueto

Abstract

An optimization model is formalized for the energy planning of urban districts equipped with renewable energy power plants (photovoltaic fields and wind micro-turbines), combined heat and power units, and traditional boilers; districts are connected to the public distribution grid. The main decision variables of the model are the number and typology of wind turbines and cogeneration plants, the size of photovoltaic fields and the power exchange with the public grid. The optimal values of the variables come from the minimization of installation, maintenance and operational costs, and satisfy load and technical constraints. The model is applied to three districts in the Savona Municipality that represent pilot sites of an extended project concerning the planning and management of smart urban areas. The analysis of different scenarios allows evaluating the role of uncertainties of renewable sources over the optimal solution of the planning problem.

Suggested Citation

  • Bracco, Stefano & Delfino, Federico & Ferro, Giulio & Pagnini, Luisa & Robba, Michela & Rossi, Mansueto, 2018. "Energy planning of sustainable districts: Towards the exploitation of small size intermittent renewables in urban areas," Applied Energy, Elsevier, vol. 228(C), pages 2288-2297.
  • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:2288-2297
    DOI: 10.1016/j.apenergy.2018.07.074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626191831105X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2018.07.074?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. Ingeborg Graabak & Magnus Korpås, 2016. "Variability Characteristics of European Wind and Solar Power Resources—A Review," Energies, MDPI, vol. 9(6), pages 1-31, June.
    2. Ferlito, S. & Adinolfi, G. & Graditi, G., 2017. "Comparative analysis of data-driven methods online and offline trained to the forecasting of grid-connected photovoltaic plant production," Applied Energy, Elsevier, vol. 205(C), pages 116-129.
    3. Kopanos, Georgios M. & Georgiadis, Michael C. & Pistikopoulos, Efstratios N., 2013. "Energy production planning of a network of micro combined heat and power generators," Applied Energy, Elsevier, vol. 102(C), pages 1522-1534.
    4. Tummala, Abhishiktha & Velamati, Ratna Kishore & Sinha, Dipankur Kumar & Indraja, V. & Krishna, V. Hari, 2016. "A review on small scale wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1351-1371.
    5. De Felice, Matteo & Petitta, Marcello & Ruti, Paolo M., 2015. "Short-term predictability of photovoltaic production over Italy," Renewable Energy, Elsevier, vol. 80(C), pages 197-204.
    6. Shin, Joohyun & Lee, Jay H. & Realff, Matthew J., 2017. "Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 616-633.
    7. Bracco, Stefano & Dentici, Gabriele & Siri, Silvia, 2016. "DESOD: a mathematical programming tool to optimally design a distributed energy system," Energy, Elsevier, vol. 100(C), pages 298-309.
    8. Sarker, Shiplu, 2016. "Feasibility analysis of a renewable hybrid energy system with producer gas generator fulfilling remote household electricity demand in Southern Norway," Renewable Energy, Elsevier, vol. 87(P1), pages 772-781.
    9. Zhao, Bo & Zhang, Xuesong & Li, Peng & Wang, Ke & Xue, Meidong & Wang, Caisheng, 2014. "Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island," Applied Energy, Elsevier, vol. 113(C), pages 1656-1666.
    10. Menon, Ramanunni P. & Paolone, Mario & Maréchal, François, 2013. "Study of optimal design of polygeneration systems in optimal control strategies," Energy, Elsevier, vol. 55(C), pages 134-141.
    11. Mashayekh, Salman & Stadler, Michael & Cardoso, Gonçalo & Heleno, Miguel, 2017. "A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids," Applied Energy, Elsevier, vol. 187(C), pages 154-168.
    12. Buttler, Alexander & Dinkel, Felix & Franz, Simon & Spliethoff, Hartmut, 2016. "Variability of wind and solar power – An assessment of the current situation in the European Union based on the year 2014," Energy, Elsevier, vol. 106(C), pages 147-161.
    13. Pagnini, Luisa C. & Burlando, Massimiliano & Repetto, Maria Pia, 2015. "Experimental power curve of small-size wind turbines in turbulent urban environment," Applied Energy, Elsevier, vol. 154(C), pages 112-121.
    14. Monforti, F. & Huld, T. & Bódis, K. & Vitali, L. & D'Isidoro, M. & Lacal-Arántegui, R., 2014. "Assessing complementarity of wind and solar resources for energy production in Italy. A Monte Carlo approach," Renewable Energy, Elsevier, vol. 63(C), pages 576-586.
    15. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2016. "A pilot facility for analysis and simulation of smart microgrids feeding smart buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1247-1255.
    16. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2015. "Optimal design of an autonomous solar–wind-pumped storage power supply system," Applied Energy, Elsevier, vol. 160(C), pages 728-736.
    17. Ma, Weiwu & Fang, Song & Liu, Gang & Zhou, Ruoyu, 2017. "Modeling of district load forecasting for distributed energy system," Applied Energy, Elsevier, vol. 204(C), pages 181-205.
    18. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    19. Xie, Shiwei & Hu, Zhijian & Zhou, Daming & Li, Yan & Kong, Shunfei & Lin, Weiwei & Zheng, Yunfei, 2018. "Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network," Applied Energy, Elsevier, vol. 219(C), pages 207-225.
    20. Dong, Bing & Li, Zhaoxuan & Taha, Ahmad & Gatsis, Nikolaos, 2018. "Occupancy-based buildings-to-grid integration framework for smart and connected communities," Applied Energy, Elsevier, vol. 219(C), pages 123-137.
    21. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2017. "Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation," Applied Energy, Elsevier, vol. 205(C), pages 1244-1259.
    22. Hoicka, Christina E. & Rowlands, Ian H., 2011. "Solar and wind resource complementarity: Advancing options for renewable electricity integration in Ontario, Canada," Renewable Energy, Elsevier, vol. 36(1), pages 97-107.
    23. 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.
    24. Gamarra, Carlos & Guerrero, Josep M., 2015. "Computational optimization techniques applied to microgrids planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 413-424.
    25. Atia, Raji & Yamada, Noboru, 2015. "More accurate sizing of renewable energy sources under high levels of electric vehicle integration," Renewable Energy, Elsevier, vol. 81(C), pages 918-925.
    26. Pagnini, Luisa & Piccardo, Giuseppe & Repetto, Maria Pia, 2018. "Full scale behavior of a small size vertical axis wind turbine," Renewable Energy, Elsevier, vol. 127(C), pages 41-55.
    27. Kyriakarakos, George & Piromalis, Dimitrios D. & Dounis, Anastasios I. & Arvanitis, Konstantinos G. & Papadakis, George, 2013. "Intelligent demand side energy management system for autonomous polygeneration microgrids," Applied Energy, Elsevier, vol. 103(C), pages 39-51.
    28. Neves, Diana & Brito, Miguel C. & Silva, Carlos A., 2016. "Impact of solar and wind forecast uncertainties on demand response of isolated microgrids," Renewable Energy, Elsevier, vol. 87(P2), pages 1003-1015.
    29. Tozzi, Peter & Jo, Jin Ho, 2017. "A comparative analysis of renewable energy simulation tools: Performance simulation model vs. system optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 390-398.
    30. Sinha, Sunanda & Chandel, S.S., 2014. "Review of software tools for hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 192-205.
    31. Ehsan, Ali & Yang, Qiang, 2018. "Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques," Applied Energy, Elsevier, vol. 210(C), pages 44-59.
    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. João Monteiro & Nuno Sousa & João Coutinho-Rodrigues & Eduardo Natividade-Jesus, 2024. "Challenges Ahead for Sustainable Cities: An Urban Form and Transport System Review," Energies, MDPI, vol. 17(2), pages 1-26, January.
    2. Vangelis Marinakis, 2020. "Big Data for Energy Management and Energy-Efficient Buildings," Energies, MDPI, vol. 13(7), pages 1-18, March.
    3. Wang, Yongli & Li, Ruiwen & Dong, Huanran & Ma, Yuze & Yang, Jiale & Zhang, Fuwei & Zhu, Jinrong & Li, Shuqing, 2019. "Capacity planning and optimization of business park-level integrated energy system based on investment constraints," Energy, Elsevier, vol. 189(C).
    4. Delmastro, Chiara & Gargiulo, Maurizio, 2020. "Capturing the long-term interdependencies between building thermal energy supply and demand in urban planning strategies," Applied Energy, Elsevier, vol. 268(C).
    5. Federico Delfino & Paola Laiolo & Federico Delfino, 2019. "Living Labs and Partnerships for Progress-How Universities can Drive the Process towards the Sustainable City," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 18(2), pages 71-73, April.
    6. Lowitzsch, J. & Hoicka, C.E. & van Tulder, F.J., 2020. "Renewable energy communities under the 2019 European Clean Energy Package – Governance model for the energy clusters of the future?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    7. Giovanni Bianco & Barbara Bonvini & Stefano Bracco & Federico Delfino & Paola Laiolo & Giorgio Piazza, 2021. "Key Performance Indicators for an Energy Community Based on Sustainable Technologies," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    8. Stefano Bracco & Federico Delfino & Paola Laiolo & Andrea Morini, 2018. "Planning & Open-Air Demonstrating Smart City Sustainable Districts," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    9. Beriro, Darren & Nathanail, Judith & Salazar, Juan & Kingdon, Andrew & Marchant, Andrew & Richardson, Steve & Gillet, Andy & Rautenberg, Svea & Hammond, Ellis & Beardmore, John & Moore, Terry & Angus,, 2022. "A decision support system to assess the feasibility of onshore renewable energy infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    10. Angelo Algieri & Pietropaolo Morrone & Sergio Bova, 2020. "Techno-Economic Analysis of Biofuel, Solar and Wind Multi-Source Small-Scale CHP Systems," Energies, MDPI, vol. 13(11), pages 1-21, June.
    11. Ihsan, Abbas & Brear, Michael J. & Jeppesen, Matthew, 2021. "Impact of operating uncertainty on the performance of distributed, hybrid, renewable power plants," Applied Energy, Elsevier, vol. 282(PB).
    12. Davoudabadi, Reza & Mousavi, Seyed Meysam & Mohagheghi, Vahid, 2021. "A new decision model based on DEA and simulation to evaluate renewable energy projects under interval-valued intuitionistic fuzzy uncertainty," Renewable Energy, Elsevier, vol. 164(C), pages 1588-1601.
    13. Àlex Alonso-Travesset & Helena Martín & Sergio Coronas & Jordi de la Hoz, 2022. "Optimization Models under Uncertainty in Distributed Generation Systems: A Review," Energies, MDPI, vol. 15(5), pages 1-40, March.
    14. Thomas Märzinger & Doris Österreicher, 2020. "Extending the Application of the Smart Readiness Indicator—A Methodology for the Quantitative Assessment of the Load Shifting Potential of Smart Districts," Energies, MDPI, vol. 13(13), pages 1-24, July.
    15. Stefano Bracco, 2020. "A Study for the Optimal Exploitation of Solar, Wind and Hydro Resources and Electrical Storage Systems in the Bormida Valley in the North of Italy," Energies, MDPI, vol. 13(20), pages 1-26, October.
    16. Pickering, Bryn & Choudhary, Ruchi, 2021. "Quantifying resilience in energy systems with out-of-sample testing," Applied Energy, Elsevier, vol. 285(C).
    17. Gong, Yu & Liu, Pan & Ming, Bo & Li, Dingfang, 2021. "Identifying the effect of forecast uncertainties on hybrid power system operation: A case study of Longyangxia hydro–photovoltaic plant in China," Renewable Energy, Elsevier, vol. 178(C), pages 1303-1321.
    18. Bracco, Stefano & Bianchi, Enrico & Bianco, Giovanni & Giacchino, Alessandro & Ramaglia, Alessandro & Delfino, Federico, 2022. "On the participation of small-scale high performance combined heat and power plants to the Italian ancillary services market within Virtually Aggregated Mixed Units," Energy, Elsevier, vol. 239(PE).

    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. Mazzola, Simone & Astolfi, Marco & Macchi, Ennio, 2016. "The potential role of solid biomass for rural electrification: A techno economic analysis for a hybrid microgrid in India," Applied Energy, Elsevier, vol. 169(C), pages 370-383.
    2. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
    3. Mavromatidis, Georgios & Petkov, Ivalin, 2021. "MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems," Applied Energy, Elsevier, vol. 288(C).
    4. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    5. Sun, Wei & Harrison, Gareth P., 2019. "Wind-solar complementarity and effective use of distribution network capacity," Applied Energy, Elsevier, vol. 247(C), pages 89-101.
    6. Pagnini, Luisa & Piccardo, Giuseppe & Repetto, Maria Pia, 2018. "Full scale behavior of a small size vertical axis wind turbine," Renewable Energy, Elsevier, vol. 127(C), pages 41-55.
    7. Mohseni, Soheil & Brent, Alan C. & Burmester, Daniel, 2020. "A comparison of metaheuristics for the optimal capacity planning of an isolated, battery-less, hydrogen-based micro-grid," Applied Energy, Elsevier, vol. 259(C).
    8. Rahmat Khezri & Amin Mahmoudi & Hirohisa Aki & S. M. Muyeen, 2021. "Optimal Planning of Remote Area Electricity Supply Systems: Comprehensive Review, Recent Developments and Future Scopes," Energies, MDPI, vol. 14(18), pages 1-29, September.
    9. Neto, Pedro Bezerra Leite & Saavedra, Osvaldo R. & Oliveira, Denisson Q., 2020. "The effect of complementarity between solar, wind and tidal energy in isolated hybrid microgrids," Renewable Energy, Elsevier, vol. 147(P1), pages 339-355.
    10. Amir, Vahid & Azimian, Mahdi, 2020. "Dynamic Multi-Carrier Microgrid Deployment Under Uncertainty," Applied Energy, Elsevier, vol. 260(C).
    11. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    12. Alexis Tantet & Marc Stéfanon & Philippe Drobinski & Jordi Badosa & Silvia Concettini & Anna Cretì & Claudia D’Ambrosio & Dimitri Thomopulos & Peter Tankov, 2019. "e 4 clim 1.0: The Energy for a Climate Integrated Model: Description and Application to Italy," Energies, MDPI, vol. 12(22), pages 1-37, November.
    13. Karmellos, M. & Georgiou, P.N. & Mavrotas, G., 2019. "A comparison of methods for the optimal design of Distributed Energy Systems under uncertainty," Energy, Elsevier, vol. 178(C), pages 318-333.
    14. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2018. "Optimal sizing of distributed generation in gas/electricity/heat supply networks," Energy, Elsevier, vol. 151(C), pages 675-688.
    15. Wakui, Tetsuya & Hashiguchi, Moe & Sawada, Kento & Yokoyama, Ryohei, 2019. "Two-stage design optimization based on artificial immune system and mixed-integer linear programming for energy supply networks," Energy, Elsevier, vol. 170(C), pages 1228-1248.
    16. Ogunmodede, Oluwaseun & Anderson, Kate & Cutler, Dylan & Newman, Alexandra, 2021. "Optimizing design and dispatch of a renewable energy system," Applied Energy, Elsevier, vol. 287(C).
    17. Cardoso, Gonçalo & Brouhard, Thomas & DeForest, Nicholas & Wang, Dai & Heleno, Miguel & Kotzur, Leander, 2018. "Battery aging in multi-energy microgrid design using mixed integer linear programming," Applied Energy, Elsevier, vol. 231(C), pages 1059-1069.
    18. Radet, Hugo & Roboam, Xavier & Sareni, Bruno & Rigo-Mariani, Rémy, 2021. "Dynamic aware aging design of a simple distributed energy system: A comparative approach with single stage design strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    19. Africa Lopez-Rey & Severo Campinez-Romero & Rosario Gil-Ortego & Antonio Colmenar-Santos, 2019. "Evaluation of Supply–Demand Adaptation of Photovoltaic–Wind Hybrid Plants Integrated into an Urban Environment," Energies, MDPI, vol. 12(9), pages 1-24, May.
    20. Viviescas, Cindy & Lima, Lucas & Diuana, Fabio A. & Vasquez, Eveline & Ludovique, Camila & Silva, Gabriela N. & Huback, Vanessa & Magalar, Leticia & Szklo, Alexandre & Lucena, André F.P. & Schaeffer, , 2019. "Contribution of Variable Renewable Energy to increase energy security in Latin America: Complementarity and climate change impacts on wind and solar resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.

    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:appene:v:228:y:2018:i:c:p:2288-2297. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.