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Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options

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  1. Bertolini, Marina & D’Alpaos, Chiara & Moretto, Michele, 2016. "Investing in Photovoltaics: Timing, Plant Sizing and Smart Grids Flexibility," MITP: Mitigation, Innovation and Transformation Pathways 244540, Fondazione Eni Enrico Mattei (FEEM).
  2. Dominković, D.F. & Bačeković, I. & Sveinbjörnsson, D. & Pedersen, A.S. & Krajačić, G., 2017. "On the way towards smart energy supply in cities: The impact of interconnecting geographically distributed district heating grids on the energy system," Energy, Elsevier, vol. 137(C), pages 941-960.
  3. Gonzalez-Salazar, Miguel & Klossek, Julia & Dubucq, Pascal & Punde, Thomas, 2023. "Portfolio optimization in district heating: Merit order or mixed integer linear programming?," Energy, Elsevier, vol. 265(C).
  4. Moghaddam, Iman Gerami & Saniei, Mohsen & Mashhour, Elaheh, 2016. "A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building," Energy, Elsevier, vol. 94(C), pages 157-170.
  5. Zhu, Mengshu & Li, Jinghua, 2022. "Integrated dispatch for combined heat and power with thermal energy storage considering heat transfer delay," Energy, Elsevier, vol. 244(PB).
  6. van Stiphout, Arne & Virag, Ana & Kessels, Kris & Deconinck, Geert, 2018. "Benefits of a multi-energy day-ahead market," Energy, Elsevier, vol. 165(PB), pages 651-661.
  7. Aunedi, Marko & Pantaleo, Antonio Marco & Kuriyan, Kamal & Strbac, Goran & Shah, Nilay, 2020. "Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems," Applied Energy, Elsevier, vol. 276(C).
  8. Ebadollahi, Mohammad & Amidpour, Majid & Pourali, Omid & Ghaebi, Hadi, 2022. "Development of a novel flexible multigeneration energy system for meeting the energy needs of remote areas," Renewable Energy, Elsevier, vol. 198(C), pages 1224-1242.
  9. Matija Kostelac & Lin Herenčić & Tomislav Capuder, 2022. "Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options," Energies, MDPI, vol. 15(4), pages 1-17, February.
  10. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2015. "Value of flexible electric vehicles in providing spinning reserve services," Applied Energy, Elsevier, vol. 157(C), pages 60-74.
  11. Ebadollahi, Mohammad & Rostamzadeh, Hadi & Pedram, Mona Zamani & Ghaebi, Hadi & Amidpour, Majid, 2019. "Proposal and assessment of a new geothermal-based multigeneration system for cooling, heating, power, and hydrogen production, using LNG cold energy recovery," Renewable Energy, Elsevier, vol. 135(C), pages 66-87.
  12. Ihsan, Abbas & Jeppesen, Matthew & Brear, Michael J., 2019. "Impact of demand response on the optimal, techno-economic performance of a hybrid, renewable energy power plant," Applied Energy, Elsevier, vol. 238(C), pages 972-984.
  13. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2017. "Optimal operation and marginal costs in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 135(C), pages 788-798.
  14. Mancarella, Pierluigi & Chicco, Gianfranco & Capuder, Tomislav, 2018. "Arbitrage opportunities for distributed multi-energy systems in providing power system ancillary services," Energy, Elsevier, vol. 161(C), pages 381-395.
  15. Rong, Aiying & Lahdelma, Risto, 2016. "Role of polygeneration in sustainable energy system development challenges and opportunities from optimization viewpoints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 363-372.
  16. Scheller, Fabian & Burgenmeister, Balthasar & Kondziella, Hendrik & Kühne, Stefan & Reichelt, David G. & Bruckner, Thomas, 2018. "Towards integrated multi-modal municipal energy systems: An actor-oriented optimization approach," Applied Energy, Elsevier, vol. 228(C), pages 2009-2023.
  17. Li, Xue & Li, Wenming & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Li, Guoqing, 2020. "Collaborative scheduling and flexibility assessment of integrated electricity and district heating systems utilizing thermal inertia of district heating network and aggregated buildings," Applied Energy, Elsevier, vol. 258(C).
  18. Bertolini, Marina & D'Alpaos, Chiara & Moretto, Michele, 2018. "Do Smart Grids boost investments in domestic PV plants? Evidence from the Italian electricity market," Energy, Elsevier, vol. 149(C), pages 890-902.
  19. Martínez Ceseña, Eduardo A. & Good, Nicholas & Syrri, Angeliki L.A. & Mancarella, Pierluigi, 2018. "Techno-economic and business case assessment of multi-energy microgrids with co-optimization of energy, reserve and reliability services," Applied Energy, Elsevier, vol. 210(C), pages 896-913.
  20. Haas, J. & Cebulla, F. & Cao, K. & Nowak, W. & Palma-Behnke, R. & Rahmann, C. & Mancarella, P., 2017. "Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 603-619.
  21. Li, Jiajia & Li, Xingshuo & Yan, Peigang & Zhou, Guowen & Liu, Jinfu & Yu, Daren, 2023. "Thermodynamics, flexibility and techno-economics assessment of a novel integration of coal-fired combined heating and power generation unit and compressed air energy storage," Applied Energy, Elsevier, vol. 339(C).
  22. Lythcke-Jørgensen, Christoffer & Clausen, Lasse Røngaard & Algren, Loui & Hansen, Anders Bavnhøj & Münster, Marie & Gadsbøll, Rasmus Østergaard & Haglind, Fredrik, 2017. "Optimization of a flexible multi-generation system based on wood chip gasification and methanol production," Applied Energy, Elsevier, vol. 192(C), pages 337-359.
  23. 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.
  24. Kitapbayev, Yerkin & Moriarty, John & Mancarella, Pierluigi, 2015. "Stochastic control and real options valuation of thermal storage-enabled demand response from flexible district energy systems," Applied Energy, Elsevier, vol. 137(C), pages 823-831.
  25. Good, Nicholas & Martínez Ceseña, Eduardo A. & Zhang, Lingxi & Mancarella, Pierluigi, 2016. "Techno-economic and business case assessment of low carbon technologies in distributed multi-energy systems," Applied Energy, Elsevier, vol. 167(C), pages 158-172.
  26. Holjevac, Ninoslav & Capuder, Tomislav & Zhang, Ning & Kuzle, Igor & Kang, Chongqing, 2017. "Corrective receding horizon scheduling of flexible distributed multi-energy microgrids," Applied Energy, Elsevier, vol. 207(C), pages 176-194.
  27. Best, Robert E. & Rezazadeh Kalehbasti, P. & Lepech, Michael D., 2020. "A novel approach to district heating and cooling network design based on life cycle cost optimization," Energy, Elsevier, vol. 194(C).
  28. Srinivasan, Arvind & Wu, Raphael & Heer, Philipp & Sansavini, Giovanni, 2023. "Impact of forecast uncertainty and electricity markets on the flexibility provision and economic performance of highly-decarbonized multi-energy systems," Applied Energy, Elsevier, vol. 338(C).
  29. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
  30. Batas-Bjelic, Ilija & Rajakovic, Nikola & Duic, Neven, 2017. "Smart municipal energy grid within electricity market," Energy, Elsevier, vol. 137(C), pages 1277-1285.
  31. Zhou, Yutian & Panteli, Mathaios & Moreno, Rodrigo & Mancarella, Pierluigi, 2018. "System-level assessment of reliability and resilience provision from microgrids," Applied Energy, Elsevier, vol. 230(C), pages 374-392.
  32. Holjevac, Ninoslav & Capuder, Tomislav & Kuzle, Igor, 2015. "Adaptive control for evaluation of flexibility benefits in microgrid systems," Energy, Elsevier, vol. 92(P3), pages 487-504.
  33. Cruz, Marco R.M. & Fitiwi, Desta Z. & Santos, Sérgio F. & Catalão, João P.S., 2018. "A comprehensive survey of flexibility options for supporting the low-carbon energy future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 338-353.
  34. Rigo-Mariani, Rémy & Chea Wae, Sean Ooi & Mazzoni, Stefano & Romagnoli, Alessandro, 2020. "Comparison of optimization frameworks for the design of a multi-energy microgrid," Applied Energy, Elsevier, vol. 257(C).
  35. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2018. "Thermoeconomic cost allocation in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 153(C), pages 170-184.
  36. Heinen, Steve & Burke, Daniel & O'Malley, Mark, 2016. "Electricity, gas, heat integration via residential hybrid heating technologies – An investment model assessment," Energy, Elsevier, vol. 109(C), pages 906-919.
  37. Kavvadias, K.C., 2016. "Energy price spread as a driving force for combined generation investments: A view on Europe," Energy, Elsevier, vol. 115(P3), pages 1632-1639.
  38. Caf, A. & Urbancl, D. & Trop, P. & Goricanec, D., 2016. "Exploitation of low-temperature energy sources from cogeneration gas engines," Energy, Elsevier, vol. 108(C), pages 86-92.
  39. Ebrahimi, Mahyar, 2020. "Storing electricity as thermal energy at community level for demand side management," Energy, Elsevier, vol. 193(C).
  40. Carvallo, Claudio & Jalil-Vega, Francisca & Moreno, Rodrigo, 2023. "A multi-energy multi-microgrid system planning model for decarbonisation and decontamination of isolated systems," Applied Energy, Elsevier, vol. 343(C).
  41. 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.
  42. Good, Nicholas & Martínez Ceseña, Eduardo A. & Heltorp, Christopher & Mancarella, Pierluigi, 2019. "A transactive energy modelling and assessment framework for demand response business cases in smart distributed multi-energy systems," Energy, Elsevier, vol. 184(C), pages 165-179.
  43. Ahmadigorji, Masoud & Amjady, Nima, 2016. "A multiyear DG-incorporated framework for expansion planning of distribution networks using binary chaotic shark smell optimization algorithm," Energy, Elsevier, vol. 102(C), pages 199-215.
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