Ong, B. L. (2019). Life Cycle Assessment of Building Integrated Photovoltaic (BIPV) system in urban high-rise buildings in Singapore. Master thesis. Technical University of Berlin.
This publication creates a database for the lifecycle assessment of BIPV for CEA. The results are presented in a case study in Singapore
Riegelbauer, E. (2019). Should lake water cool the HGZZ? A feasibility study using the City Energy Analyst. Semester project. ETH Zürich.
This publication assesses the economic and environmental feasibility of a planned district cooling network in Zürich-CH for different scenarios. CEA is used both for energy demand estimation as well as thermal network modeling.
This publication creates a database for the energy demand modeling of buildings in the Netherlands. The results are presented in a case study in Almere.
Collins, F. (2019). District-scale energy demand modelling of a residential area in Almere, Netherlands. Semester project. ETH Zürich.
Motie, M. (2019). District heating and cooling network layout analysis and optimization. Semester project. ETH Zürich.
This publication applies the CEA network layout and simulation tools to compare a planned district cooling network in Zurich-CH to a network using the minimum Steiner tree.
Pignatta, G. (2018). Tools for Cooling Singapore. A GUIDE OF 20+ SIMULATION TOOLS TO ASSESS URBAN HEAT ISLAND AND OUTDOOR THERMAL COMFORT. Singapore.
Maiullari, D., Mosteiro-Romero, M., and Pijpers-van Esch, M. (2018) Urban Microclimate and Energy Performance: An Integrated Simulation Method. PLEA 2018, 10-12 December 2018, Hong Kong
This publication connects CEA to EnviMET for analysis of micro-climate. The results are presented for a case study in Zurich-CH
Rogenhofer, L., (2018). Thermal and hydraulic modelling and optimization of thermal networks in districts in the CEA framework. Master thesis. ETH Zurich.
This publication showcases a new thermal-hydraulic model in CEA. The method is exemplified in a case study in Singapore
Szcześniak, J. (2018). Optimal Integration of BIPV at the Community and Building Scale. Semester project. ETH Zurich.
In this publication CEA is used to estimate demand profiles for the optimisation of BIPV. The results are presented in a case study in Zurich-CH
Python, S., (2018). Modelling approach of a large scale district for the final objective to analyse the self-consumption of PV-produced electrical energy. Semester project. ETH Zurich.
In this publication the advantages and limitations of CEA are described in the context of integration of PV
Mehta, P. (2017). Evaluation of Community Scale PV based on Spatio-temporal Energy Demand & Supply Profiles. Semester project. ETH Zurich.
In this publication CEA is used to estimate the potential of PV. The results are presented in a case study in Zurich-CH
Happle, G., Fonseca, J. A., & Schlueter, A. (2017). Effects of air infiltration modeling approaches in urban building energy demand forecasts. Energy Procedia, 6.
In this publication CEA is used to model stochastic and deterministic models of air infiltration. The results are presented in a case study in Singapore
Mosteiro-Romero, M., Fonseca, J. A., & Schlueter, A. (2017). Seasonal effects of input parameters in urban-scale building energy simulation. Energy Procedia, 6.
This publication compares the sensitivity of input parameters in CEA and a case study in the city of Zurich - CH
This publication showcases a new time-series clustering method implemented in CEA. The method is exemplified in a case study in Singapore
Nietzel, P., Identification of Key Input Parameters in Space and Time and their Implications on Output Uncertainty. (2016). Master Thesis. ETH Zurich.
This publication showcases the integration of Daysim into CEA
Fonseca, J. A., Thomas D., Willmann A., Elesawy A., Schlueter A. (2016). The City Energy Analyst Toolbox V0.1 (pp. 584–589). Sustainable Built Environment (SBE) Regional Conference Zurich 2016, vdf Hochschulverlag AG an der ETH Zürich.
This publication showcases the first release of CEA
Fonseca J. A., Thuy-An N., Schlueter A., and Marechal F. (2016). “City Energy Analyst (CEA): Integrated Framework for Analysis and Optimization of Building Energy Systems in Neighborhoods and City Districts.” Energy and Buildings 113 (February): 202–26.
This publication presents the workflow of CEA, main equations of supply systems and a case study in the city of Zug-CH
Fonseca, J. A. (2016). Energy efficiency strategies in urban communities (Doctoral Thesis). ETH Zürich, Zürich, Switzerland.
This publication presents the theoretical framework of CEA.
Fonseca J. A., and Schlueter A. (2015). Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts. Applied Energy, 142, 247–265.
This publication presents the demand simulation model of CEA and a case study in the city of Zug -CH
Nguyen, T., (2015) Optimization of district energy system in the context of urban transformation. Master Thesis. ETH Zurich
This publication presents the optimisation algorithm (master) for CEA and a case study in the city of Zug -CH
Vollrath, T.,(2014) Microgrid modeling and optimization in the context of rural transformation. Master Thesis. ETH Zurich
This publication presents the optimisation algorithm (slave) for CEA and a case study in the village of Zernez -CH
Thoma, E., Fonseca, J. A., & Schlueter, A. (2014). Estimation of base-values for Grey Energy, Primary Energy, Global Warming Potential (GWP 100A) and Umweltbelastungspunkte (UBP 2006) for Swiss constructions from before 1920 until today. In DAKAM (Ed.), Contemporary Urban Issues ’14 (p. 17). Istambul.
This publication introduced the first databases for lifecycle analysis in CEA