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Sébastien Cajot

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Related publications (15)

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Designing a District Energy Infrastructure-a Case-Study in Lisbon

François Maréchal, Nils Christian Schüler, Sébastien Cajot

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 softwar ...

FRONTIERS MEDIA SA2022

By looking at opportunities beyond the single building scale, urban planners can significantly contribute to shape energy-efficient and low-carbon cities. However, the complexity involved in such a broad task and the many trade-offs with other sectors impe ...

Academic Press2019

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 ...

Academic Press2019

A planning support system using interactive optimization

Nils Christian Schüler, Sébastien Cajot

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 provid ...

Academic Press2019

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Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice ...

2019

The optimum is not the goal: Capturing the decision space for the planning of new neighborhoods

François Maréchal, Jessen Page, Nils Christian Schüler, Sébastien Cajot

This article presents the development and application of a methodology that employs optimization not to seek the single or few optimal plan(s) but to provide planners with a systematic overview of their decision space. As urban development projects are not ...

2018

Interactive optimization for supporting multicriteria decisions in urban and energy system planning

Sébastien Cajot

Climate change and growing urban populations are increasingly putting pressure on cities to reduce their carbon emissions and transition towards efficient and renewable energy systems. This challenges in particular urban planners, who are expected to integ ...

EPFL2018

Linking interactive optimization for urban planning with a semantic 3D city model

François Maréchal, Nils Christian Schüler, Sébastien Cajot

The cities in which we live are constantly evolving. The active management of this evolution is referred to as urban planning. The according development process could go in many directions resulting in a large number of potential future scenarios of a city ...

Copernicus GmbH2018

Urban energy system planning (UESP) is a topic of growing concern for cities in deregulated energy markets, which plan to decrease energy demand, reduce their dependency on fossil fuels, and increase the share of renewable energy sources. UESP being a high ...

2017

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This paper introduces urb.io, an interactive optimization framework for early-stage urban planning. It allows urban planners to generate and explore many alternative urban configurations, while focusing their attention on the most promising ones. First, ad ...

Elsevier2017