WP 7: Decision Making Models and Support Systems

WP Leader: Daniela Guericke, daniela.guericke@smart-cities-centre.org

Objective: Methods and tools to assist private and public agents in making “good” decisions to fully benefit from Smart Cities and guarantee a proper city development.

Tasks

WP7.1 Develop optimal aggregation models for the market participation of energy companies operating in smart cities. The purpose of this task is (in collaboration with WP4) to identify appropriate aggregation models for a portfolio of different DERs that are suitable for decision making models for market participation, and retain the key characteristics of the components.
WP7.2 Develop decision-making models for energy companies in smart cities. This task will focus on the development of models to support the participation of a portfolio of DERs (such as those owned by energy companies in smart cities) in the different wholesale energy markets, with a particular view on the coupling with renewable sources.
WP7.3 Perform a system-wide socio-economic assessment of smart cities. This task will build system-wide operational models that allow us to evaluate the benefits brought about by smart cities from a social welfare perspective and identify potential scenarios for city development and their impact on the future energy mix. Particular emphasis will be placed in both WP7.2 and WP7.3 on the electricity and gas sectors given their importance and interactions.

PhD projects

Decision-making for the Management and Planning of Integrated Energy Systems

PhD student: Ignacio Blanco, ignacio.inigo@smart-cities-centre.org

This project focuses on developing models to optimize the multi-commodity trading strategy of energy companies (especially those owning a portfolio of distributed energy resources) in different wholesale energy markets. Particular emphasis will be placed on improving the resource procurement strategy and the operation of combined heat-and-power production facilities, considering the system dynamics, the uncertainty of energy prices and demands, and the interrelation of the different energy commodities and services. The goal is to develop planning tools capable of assessing societal benefits of an integrated management of energy systems in cities and identifying potential business cases.

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