WP Leader: Brian V. Mathiesen, firstname.lastname@example.org
Objective: Develop long term simulation platform for system planning. Focus on longer term energy planning scenarios and methodologies.
|WP6.1||Develop an IT based platform to support decision making at the city level enabling modelling from the city level to the national level. This requires tool development to identify the impact of aggregation on planning outcomes from the city level to the national or EU-level.|
|WP6.2||Using the simulation platform to investigate the differences in outcomes when the system is modelled at the aggregate and detailed levels (considering geographic, temporal and complexity scales), different long term energy system scenarios for cities and larger geographic regions will be created.|
|WP6.3||Creation of public regulation scenarios for long-term integrated markets, aggregating solutions cross-sectorally in cities (electricity, gas, heating, cooling) calls for the identification of new institutional, organizational and market implementation strategies. Such scenarios are based on the technical scenarios (WP6.1) and inputs from other WPs.|
Assessing societal impacts of smart city development
PhD student: Simone La Greca, email@example.com
The research project aims at developing an integrated valuation framework for assessing the sustainability performance of smart Urban Energy Systems, including its societal benefits and co-benefits. Concurrently, particular emphasis is placed on investigating spatial relationships and distributional aspects of smart-energy investments in households and other urban development projects across the social urban fabric, aiming at investigating the role of planning and developing socially inclusive cities to mitigate issues of polarization and inequalities in modern smart cities.
Contextual Aspects of Smart City Energy Systems Analysis
PhD student: Jakob Zinck Thellufsen, firstname.lastname@example.org
The objective of the PhD project is to develop a tool for EnergyPLAN capable of linking several energy system models to each other. This MultiNODE tool enables the research of interconnection in relation to system integration, due to the layout of EnergyPLAN. The second objective is the investigation of the Smart City within two contextual aspects. 1) The geographical aspect of seeing the city in relation to the country or region, and 2) the system integration context of the city, looking at the importance of taking the whole local energy system into account, when investigating the implementation of new technology.
To analyse these two aspects, MultiNODE and EnergyPLAN is used.