Sébastien Cajot

Biographie

Sébastien is a postdoctoral researcher at the Industrial Process and Energy Systems Engineering (IPESE) Group at Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. He holds a Master in environmental sciences and engineering from EPFL and Kyoto University, and a PhD in energy from EPFL. During his PhD, he has worked as researcher on urban and energy system planning at the European Institute for Energy Research (EIFER) in Karlsruhe, Germany between 2014 and 2017. Prior to that, he worked during two and half years as business process analyst at the environmental and energy department of canton de Vaud, Switzerland. There, his focus was also to develop a system of indicators to inform the local government on the efficiency of the State’s energy policy.

À propos de ce résultat

Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.

Unités associées (4)

Unités associées

Chargement

Cours enseignés par cette personne

Aucun résultat

Cours enseignés par cette personne

Chargement

Domaines de recherche associés (8)

Domaines de recherche associés

Chargement

Publications associées (15)

Chargement

Afficher plus

Publications associées

Chargement

Personnes menant des recherches similaires (110)

Personnes menant des recherches similaires

Chargement

Publications associées (15)

, ,

The paper describes a case study on the design of district energy infrastructure for the green-field project of the Vale de Santo Antonio (Lisbon, Portugal). The methodology is based on a novel framework built on the sequential integration of three software tools: QGIS, City Energy Analyst (CEA) and Urbio. QGIS is used to define the building database (construction solutions, uses and schedules); CEA is used to model the neighborhood energy services (heating, cooling, domestic hot water and electricity, including for EVs); and Urbio is used to design the energy infrastructure to supply the neighborhood in an optimal manner. The study illustrates the high impact of building renovation on heat demand and the existing potential for a two-layout network to minimize pumping demand and heat distribution loss. Moreover, a sensitivity analysis with regard to future carbon tax changes and electricity greening concludes that an electricity-based heating mix is optimal.

FRONTIERS MEDIA SA2022

Chargement

A planning support system using interactive optimization

Sébastien Cajot, Nils Christian Schüler

Computational models can provide support in addressing challenges of urban planning. However, there exists a conflict between the required model inputs to reflect the decision problem, and the required insights into results for the decision maker to provide relevant inputs. This chapter presents how this conflict can be addressed by an interactive optimization approach. After introducing implied challenges, a general workflow is proposed, and its components are described in detail, namely (a) an optimization model, which incorporates decisions on multiple domains and scales, taken by different actors of urban planning, (b) the graphical representation of multivariate data allowing to explore results and define new inputs, and (c) a methodology to efficiently capture the large decision space of planners. These components are combined in the planning support tool URBio.

Academic Press2019

Chargement

Application of the planning support system URBio

Sébastien Cajot, Nils Christian Schüler

The planning support system URBio is demonstrated via two case studies. Both case studies are located in the canton of Geneva. The first case study is a greenfield planning project, where the goal is to build a new district on former agricultural land. The project responds to the urgent, global challenges of urbanization, and climate change by developing a relatively dense, ecofriendly district. The second case study focuses on a brownfield planning project, that is, the redevelopment of an existing neighborhood. Consequently, the planning support system was adapted to address the challenges and measures specific to urban redevelopment. Through both case studies, the reader will be walked through a typical application process of URBio, illustrating how it is used interactively to explore and narrow the search space, how new questions might come up during this process, and how URBio enables to find further answers. The first case study will illustrate with practical examples the trade-offs between common planning targets such as energy, density, and social aspects (e.g., share of parks). The second case study provides a more in-depth analysis of the current state of the energy system, the limits in achievable densities, and emission saving potentials by replacement of conversion systems and thermal building refurbishments.

Academic Press2019

Chargement

Afficher plus