Stochastic Operation Optimization of the Smart Savona Campus as an Integrated Local Energy Community Considering Energy Costs and Carbon Emissions

Aiming at integrating different energy sectors and exploiting the synergies coming from interaction of carriers, sector coupling allows for a greater flexibility system, by increasing renewables’ penetration reducing carbon emissions. At local level, fits well in concept an integrated community (ILEC), where active consumers make common choices satisfying their needs through optimal management set multi-carrier technologies, achieving better economic environmental benefits compared to business-as-usual scenario. This paper discusses stochastic operation optimization smart Savona Campus University Genoa, according criteria. The campus is treated as ILEC with two electrically interconnected multi-energy hubs involving technologies such PV, solar thermal, combined heat power systems, electric geothermal pumps, absorption chillers, thermal storage. Under this prism, can participate day-ahead market (DAM) proper bidding strategies. To assess uncertainties, roulette wheel method used generate initial scenarios irradiance, fast forward selection algorithm then applied preserve most representative scenarios, while computational load next phase. A model thus formulated mixed-integer linear programming (MILP), aim optimize strategies various ILEC, ILECs DAM, considering both costs emissions multi-objective approach. Case study results show how on DAM allow minimizing users’ net daily cost, and, case optimization, operates self-consumption mode. Moreover, comparison current strategies, optimized reduction cost range 5 14%, 6 18%.