Smart City Gnosys

Smart city article details

Title Optimization Of Multi-Energy Carrier Systems In Urban Areas
ID_Doc 40642
Authors Bruno S.; Lamonaca S.; La Scala M.
Year 2017
Published From Smart Grids to Smart Cities: New Challenges in Optimizing Energy Grids
DOI http://dx.doi.org/10.1002/9781119116080.ch5
Abstract A desirable approach to achieve integration and coordination of energy infrastructures in a Smart City is to develop multi-energy carrier systems where different energy resources are optimized following a holistic approach. This chapter presents two optimization methodologies: the first aiming to solve an operating problem; and the second to solve a planning problem. The optimal control of multi-carrier energy resources is obtained through the solution of a nonlinear optimization problem aimed at minimizing the overall cost of production, equipment wear (BESS) and interruption costs. The chapter collects some results of the "San Paolo Power Park" research project. The project was aimed substantially at the design of an energy district, in which combining low environmental impact methods is possible to fulfill urban regeneration objectives, improving the quality of life of citizens. The project is part of the Strategic Plan for the development of the metropolitan area of the city of Bari. © ISTE Ltd 2017. All rights reserved.
Author Keywords Bari; Multi-energy carrier systems; Nonlinear optimization problem; San Paolo Power Park research project; Smart city; Urban regeneration project


Similar Articles


Id Similarity Authors Title Published
3477 View0.887Shokri M.; Niknam T.; Sarvarizade-Kouhpaye M.; Pourbehzadi M.; Javidi G.; Sheybani E.; Dehghani M.A Novel Optimal Planning And Operation Of Smart Cities By Simultaneously Considering Electric Vehicles, Photovoltaics, Heat Pumps, And BatteriesProcesses, 12, 9 (2024)
25159 View0.877Balaban G.; Dumbravă V.; Lăzăroiu A.C.Expansion And Optimization Of Multi-Carrier Infrastructure In Smart CitiesSmart Cities for Inclusive Innovation: Concepts, technologies and solutions (2025)
5294 View0.872Omar A.S.; El-Shatshat R.A Survey On Model-Based And Data-Driven Operational Optimization Approaches For Integrated Energy Systems In Smart CitiesElectric Power Systems Research, 249 (2025)
38204 View0.861Galici M.; Celli G.; Ghiani E.; Ruggeri S.; Pisano G.; Pilo F.Multi-Energy Smart City Urban District Planning With Robust Optimisation2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings (2022)
5373 View0.855Ahmadian A.; Almansoori A.; Elkamel A.A Sustainable Energy Supply System In Smart Cities: An Integrated Natural Gas And Electricity Network OperationComputer Aided Chemical Engineering, 52 (2023)
3342 View0.854Esapour K.; Moazzen F.; Karimi M.; Dabbaghjamanesh M.; Kavousi-Fard A.A Novel Energy Management Framework Incorporating Multi-Carrier Energy Hub For Smart CityIET Generation, Transmission and Distribution, 17, 3 (2023)
53046 View0.853Papari B.; Edrington C.S.; Ozkan G.; Hoang; Bader P.R.Stochastic Analysis Of Regenerative Braking Energy Of Urban Transportation System Associated With Plug-In Electrical Vehicle In Smart City2021 IEEE 4th International Conference on DC Microgrids, ICDCM 2021 (2021)
40440 View0.853Duan, PF; Askari, M; Hemat, K; Ali, ZMOptimal Operation And Simultaneous Analysis Of The Electric Transport Systems And Distributed Energy Resources In The Smart CitySUSTAINABLE CITIES AND SOCIETY, 75 (2021)
53065 View0.85Jafari, M; Kavousi-Fard, A; Niknam, T; Avatefipour, OStochastic Synergies Of Urban Transportation System And Smart Grid In Smart Cities Considering V2G And V2S ConceptsENERGY, 215 (2021)