(319g) Water and Energy Systems in Sustainable City Development: Agent-Based Modelling and Resource Technology Optimization
Facing the challenges of energy and water systems in urban development, this work describes a decision-making platform combining a comprehensive database, agent-based simulation modelling and resource technology network optimization. The current regional demographics, land-use, infrastructure and economic information is used as input for the initial state of the focused urban system incorporating energy, water and other related resources. Detailed spatio-temporal demand data, obtained by simulating a synthetic population using agent-based models, is further used to plan capacity utilization and expansion by supply-side matching on a cost optimal basis, eventually aiming to explore the optimal design and operational strategies for residential, commercial, industrial, and other sectors in urban energy and water systems, and especially their nexus. Moreover, long-term socio-economic scenarios are addressed in the urban system development through a real-time feedback loop.
The outputs depict, with fine spatial and temporal resolutions, an overall energy-water landscape of the studied urban region (e.g., Greater Accra Metropolitan Area in Ghana as a prototype ). The material and energy balance of supply and demand from both macro and micro perspectives are obtained, and further used to propose environmental friendly and cost effective sustainable city investment and development strategies. Several representative use cases are built under different scenarios to maximize utilization of resources, minimize net waste generation, and improve social welfare to engage local stakeholders. This work is to become a core component of the resilience.io platform as an open-source, data-driven, integrated systematic tool gathering social, environmental and economic data to inform urban planning, investment and policy-making for city-regions globally.
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