Stephane Laurent Bungener

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Herein, we present a novel morphology for solid-state dye-sensitized solar cells based on the simple and straightforward self-assembly of nanorods into a 3D fibrous network of fused single-crystalline anatase nanowires. This architecture offers a high roughness factor, significant light scattering, and up to several orders of magnitude faster electron(More)
The long term optimization of a district energy system is a computationally demanding task due to the large number of data points representing the energy demand profiles. In order to reduce the number of data points and therefore the computational load of the optimization model, this paper presents a systematic procedure to reduce a complete data set of the(More)
The current regulatory framework in Europe regarding industrial energy consumption puts emphasis on regular energy assessments and increasing energy efficiency. Among the available strategies to identify energy savings opportunities, Total Site Analysis (TSA) can be a powerful method to generate utility savings in industrial sites or clusters, targeting for(More)
Resilient decision making in steam network investments Stéphane L. Bungener*, Greet Van Eetvelde, Bernard Descales, François Maréchal a Energy Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland b Environmental and Spatial Management, Faculty of Engineering and Architecture, Ghent University, Gent, Belgium c INEOS(More)
A Methodology for Creating Sequential Multi-Period BaseCase Scenarios for Large Data Sets Stéphane L. Bungener*, Greet Van Eetvelde, François Maréchal Industrial Process and Energy System Engineering (IPESE), Institute of Mechanical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH1015 Lausanne, Switzerland Environmental and Spatial(More)
Production data in process industry are proprietary to a company since they are key to the process design and technology expertise. However, data confidentiality restrains industry from sharing results and advancing developments in and across process sectors. Using virtual profiles that simulate the typical operating modes of a given process industry offers(More)
Steam is a key energy vector for industrial sites, most commonly used for process heating and cooling, cogeneration of heat and mechanical power as a motive fluid or for stripping. Steam networks are used to carry steam from producers to consumers and between pressure levels through letdowns and steam turbines. The steam producers (boilers, heat and power(More)
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