HUES: A HOLISTIC URBAN ENERGY SIMULATION PLATFORM FOR EFFECTIVE MODEL INTEGRATION

摘要: ABSTRACTE ective design and operation of district multi-energy systems is a complex task necessi-tating novel modeling simulation approaches. In this paper, we introduce describethe Holistic Urban Energy Simulation (HUES) platform, an extendable envi-ronment for the study urban systems. The platform consists growingarray modules datasets which may be linked in di erent ways to address erentproblems domain energy Via its combined role as model reposi-tory information management system, HUES facilitates integrationand reuse constituent modules, opening up possibilities complexity ofurban systems.We demonstrate use via case exploring relationshipbetween size sizing necessary infrastructure, considering realisticvariability heat demand between buildings. We hypothesize that larger districts maymore e ectively leverage temporal variation buildings, reducinginfrastructure investment needs. This relationship explored by linking three modulesof { stochastic module, building module anenergy system each originally developed purposes adapted forthis investigation. results indicate limited coincidenceof peaks buildings means require less generationcapacity.The combination computational employed allows us toextract insights unattainable with any isolation precisely capabilitywe seek enable platform. Key challenges further development ofthe include facilitating validity, ensuring trulyreusable dealing intellectual property issues.Keywords: systems, hub, Complexity, Modeling DemandvariabilityINTRODUCTIONThe realization sustainable requires optimal distributed re-newable sources energy. By serving loci production, storage consumptionof multiple forms, district-scale (energy hubs) can play animportant this. Recent work has solidi ed set methodologies optimizingthe these renewables availability, buildingenergy demands, properties other characteristics [1, 2, 3].A signi cant challenge body complexity, manifest variety