The City Energy Analyst aims to supply planners and researchers with tools for the analysis and optimization of building energy systems in urban districts.


At CEA we are committed to empower practitioners and researchers to plan future low carbon cities. Check out a summary of our latest executive course held during July in Singapore

Applied Research

The City Energy Analyst (CEA) is being actively developed through case studies in Europe and South-East Asia.

Zurich - University Campus

The main campus of ETH Zurich will be transformed into a medical and educational hub in the centre of the city. Together with local authorities and designers, the CEA tool is used to explore synergies between buildings and transportation systems.

Singapore - Tanjong Pagar

The most important Singaporean ship terminal will be transformed into a mixed-use, high-density city district by 2030. Together with urban designers and engineers, the CEA tool is used to explore the optimal combination of resources, building programs and building typologies for the area.

Singapore - Ecocampus

The campus of the Nanyang Technical University of Singapore has the goal of reducing its energy footprint by 35% until 2020. Together with our industry partners, the CEA tool is used to evaluate current demand patterns and future retrofit strategies.


Developed in Python, an open-source programming language, CEA is completely open source and free to use. CEA offers extensive documentation in order to facilitate further expansion. 



Process engineers, building systems engineers, architects and urban designers have integrated data, algorithms, and procedures needed to better assess and determine the future energy performance of our cities and communities.


Urban Planning and Design


Building Systems Engineering

Process Engineering


The CEA tool puts an emphasis on detail, accuracy and speed. Comprehensive multi-physics mathematical models are integrated according to the latest ISO and SIA standards and the state-of-the-art in research. CEA features the detailed and rapid simulation of energy exchange between buildings, users and the environment at the district scale.

Features at a Glance

The CEA aims to cover a wide number of applications for dynamic demand prediction, energy systems optimization, analysis and visualization. The features being researched and developed for the CEA are listed below.