Achieving energy efficient districtsContributions through large-scale characterization and demand side management.

  1. Romero Rodríguez, Laura
Supervised by:
  1. Servando Alvarez Domínguez Director
  2. José Sánchez Ramos Director

Defence university: Universidad de Sevilla

Fecha de defensa: 18 December 2018

  1. José Luís Molina Félix Chair
  2. Luisa Fernanda Cabeza Fabra Secretary
  3. Francisco José Sánchez de la Flor Committee member
  4. Eduardo Oliveira Committee member
  5. Laure Pisella Committee member

Type: Thesis

Teseo: 574119 DIALNET lock_openIdus editor


Buildings are increasingly expected to be more efficient and sustainable since they are essential to energy policies and climate change mitigation efforts. For this reason, it is very important to develop new energy models, with special attention to the residential sector. The present Thesis aims to justify the selection of the district scale as the optimal one to improve the energy performance of the built environment. In this way, renewable energy integration may be increased and innovative approaches such as demand side management may be carried out through the accurate characterization of districts. Several applications are shown to evaluate the solar potentials and the energy demands for entire regions by using 3D city models. The advantages offered by demand side management approaches in buildings and districts are investigated, presenting two applications that benefit from dynamic pricing strategies or the participation in reserve markets. The drawbacks of most current approaches on a large scale are highlighted, and a new tool capable of performing dynamic simulations of whole districts in a user-friendly and accurate way is presented. In addition, a methodology for a proper characterization of districts through monitoring is developed, validated, and used for two applications. The first one characterizes a district consisting of buildings with a limited use of air-conditioning, and the second one evaluates the benefits that could be obtained from the exploitation of the synergies between the buildings of a district. As a last contribution of this Thesis, a new comprehensive methodology for the characterization and optimization of any existing district is proposed.