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Optimisation of industrial waste-to-energy (WtE) and resource recovery systems

English title Optimisation of industrial waste-to-energy (WtE) and resource recovery systems
Applicant Hungerbühler Konrad
Number 154049
Funding scheme NRP 70 Energy Turnaround
Research institution Institut für Chemie- und Bioingenieurwissenschaften ETH Zürich
Institution of higher education ETH Zurich - ETHZ
Main discipline Chemical Engineering
Start/End 01.03.2015 - 28.02.2018
Approved amount 318'286.00
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All Disciplines (2)

Discipline
Chemical Engineering
Other disciplines of Engineering Sciences

Keywords (8)

scheduling; waste management; design; material recovery; systems analysis; energy efficiency; sustainability assessment; planning

Lay Summary (German)

Lead
Der Energiebedarf des Industriesektors entspricht in etwa 20% des schweizerischen Gesamtbedarfs. Somit liegt die Industrie an dritter Stelle nach dem Transportwesen und den Haushalten (ca. 35% resp. 30% Bedarf). Die Reduktion des Energie- und Ressourcenverbrauch in der Industrie wäre daher sehr erstrebenswert. Waste-to-Entergy(WtE)-Technologien bieten heute vielfältige Möglichkeiten, die Energieeffizienz von Unternehmen zu verbessern. So kann z.B. sowohl die Wärmerückgewinnung, wie auch die elektrische Effizienz gesteigert und zeitgleich Emissionen und der Energiebedarf aus fossilen Ressourcen reduziert werden.
Lay summary
Da in der Schweiz wenige industrielle Unternehmen für einen Großteil des Energieverbrauchs zuständig sind, lohnt es sich die schweizweiten Anlagebetriebe und Wechselwirkungen von industriellen Netzen zu optimieren, um eine höhere Gesamtenergieeffizienz durch die maximale Nutzung der im Abfall enthaltenen Energie zu erzielen. Darüber hinaus sollten die Energieeinsparungen durch die Verwendung von Sekundärmaterialien und durch die Substitution von Primärproduktion ebenfalls berücksichtigt werden.

Das Ziel dieses Forschungsprojekts ist die Bereitstellung und Anwendung praktischer Instrumente zur Erleichterung der Entscheidungsfindung im industriellen WtE Management und für Ressourcenrückgewinnungssysteme. Schlüsselkriterium ist  das Erfüllen der Anforderungen für die erzeugten Abfallströme auf Basis der relevanten Kapazitäten unter technischen, logistischen und regulatorischen Rahmenbedingungen. Die in diesem Projekt entwickelten Strategien werden von vier Industriefallstudien, die in Zusammenarbeit mit der Industrie durchgeführt werden, getestet.

Insgesamt zielt dieses Projekt darauf, den Primärenergieverbrauch in der Industrie zu reduzieren und die Effizienz der Verwendung von Abfällen als Sekundärenergie und Materialquelle zu maximieren.

Direct link to Lay Summary Last update: 29.10.2014

Responsible applicant and co-applicants

Employees

Publications

Publication
Influence of input-scrap quality on the environmental impact of secondary steel production
Haupt M., Vandebo C., Zeltner C., Hellweg S., Influence of input-scrap quality on the environmental impact of secondary steel production, in Journal of Industrial Ecology, -.
New classification of chemical hazardous liquid waste for the estimation of its energy recovery potential based on existing measurements
Bolis Vasco, Capón-García Elisabet, Weder Oliver, Hungerbühler Konrad, New classification of chemical hazardous liquid waste for the estimation of its energy recovery potential based on existing measurements, in Journal of Cleaner Production, 183, 1228-1540.
Optimal Design of Industrial Waste-to-Energy Networks
Bolis Vasco, Capón-García Elisabet, Hungerbühler Konrad, Optimal Design of Industrial Waste-to-Energy Networks, in Computer Aided Process Engineering - 38, Elsevier, London.
Optimal Design of Multi-Enterprise Industrial Waste-to-Energy Networks
Bolis Vasco, Capón-García Elisabet, Hungerbühler Konrad, Optimal Design of Multi-Enterprise Industrial Waste-to-Energy Networks, in Computer Aided Process Engineering", Elsevier, London.

Collaboration

Group / person Country
Types of collaboration
Prof. I. Grossmann/ Carnegie Mellon University United States of America (North America)
- Research Infrastructure

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
AIChE Meeting Talk given at a conference Optimal Design of Multi-Enterprise Industrial Waste-to-Energy Networks Under Uncertain Conditions 31.10.2017 Minneapolis, United States of America Capon Elisabet; Bolis Vasco; Hungerbühler Konrad;
European Symposium on Computer Aided Process Engineering - 27 Poster Optimal Design of Multi-Enterprise Industrial Waste-to-Energy Networks 03.10.2017 Barcelona, Spain Capon Elisabet; Bolis Vasco; Hungerbühler Konrad;
SCS Seminar 2017/1 “Process Chemistry” Talk given at a conference Industrial Waste-to-Energy Networks 16.01.2017 Fribourg, Switzerland Bolis Vasco;
European Symposium on Computer Aided Process Engineering - 26 Poster Optimal Design of Industrial Waste-to-Energy Networks 15.06.2016 Portoroz, Slovenia Capon Elisabet; Bolis Vasco; Hungerbühler Konrad;
10th Swiss Energy Research Conference Poster wastEturn 14.04.2016 Lugano, Switzerland Hungerbühler Konrad; Capon Elisabet; Bolis Vasco; Haupt Melanie;
15th International Waste Management and Landfill Symposium Talk given at a conference Quality-dependent impact of steel recycling: scrap from MSWI bottom ash vs. common scrap grades 05.10.2015 S. Margherita de Pula, Italy Haupt Melanie;
LCM France. Poster Optimizing Swiss waste management to support the energy-turnaround 30.08.2015 Bordeaux, France Capon Elisabet; Haupt Melanie; Hungerbühler Konrad;
ISIE Conference 2015 Poster Influence of scrap quality on operational parameters in steel recycling 07.07.2015 Surrey, Great Britain and Northern Ireland Haupt Melanie;


Knowledge transfer events



Self-organised

Title Date Place
Advisory Board Meeting with Industrial Partners 12.04.2016 Olten, Switzerland
Advisory Board Meeting with Municipal Solid Waste and Industrial Waste Partners 20.11.2015 Zürich, ETH, Switzerland

Awards

Title Year
2016 Chemistry Travel Award by SCNAT, SCS and SSFC 2016

Associated projects

Number Title Start Funding scheme
172456 Towards A sustainable CircuLar Economy - Combining a material flow with a business and policy perspective (TACLE) 01.01.2018 NRP 73 Sustainable Economy
178991 Urban Mining for Low Noise Urban Roads and Optimized Design of Street Canyons 01.01.2019 Project funding (Div. I-III)

Abstract

The energy demand of the industrial sector represents about 20% of the total demand in Switzerland, the third in importance after transports and households (approximately 35% and 30%, respectively). This fact taken together with the comparatively limited number of actors or sites hence makes efforts devoted to increase energy efficiency and to reduce energy and resource consumption in industry a high priority. In this sense, industrial waste-to-energy (WtE) technologies can increase heat recovery and electric efficiency, reducing overall emissions and fossil energy demand. Moreover, industrial waste treatment plants or co-processing units typically have dynamic import/export portfolios due to exchanges with other industrial facilities. Therefore, there is a need to optimise the plant operation as well as the system-wide interactions of industrial networks to ensure high overall energy efficiency by making maximal use of the energy contained in waste. In addition, the energy savings that can be realised through the use of secondary materials and substitution of primary production from a life cycle perspective should also be considered.The goal of this research project is to provide and apply practical tools for facilitating the decision-making in industrial WtE management and resource recovery systems. Key criteria concern fulfilling treatment requirements for the generated waste streams based on the relevant treatment capacities under technical, logistical, and regulatory constraints, and to improve the overall flexibility to deal with operational uncertainty.Systematic modelling and optimization are the two main approaches used in this work for tackling the waste management and plant integration problems. Systematic modelling pursues the adequate representation of the elements comprised in industrial waste management and resource recovery systems, whereas optimization-based techniques aim at the application of algorithms for solving the posed problems to obtain optimal solutions under relevant constraints. The resulting strategies will be tested on four industrial case studies, which will be conducted in collaboration with the industry. Overall, this project aims to the reduction of primary energy consumption in the industrial sector by maximizing the efficiency of using waste as secondary energy and material source and, in this way, to contribute to the realisation of the energy reduction targets of the “Energy Strategy 2050”.
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