INGRES
Waste Engineering and Sustainability
Date of inception 29 July 2009
Leaders: María Dolores Bovea EdoAntonio Gallardo Izquierdo
Departament: Dep. d'Enginyeria Mecànica i Construcció
Website: https://www.uji.es/serveis/ocit/base/grupsinvestigacio/detall?codi=168
The Waste Engineering and Sustainability (INGRES) research group offers advanced technological services to improve the sustainability of products, organizations and the urban environment and the waste management, in order to move towards a circular economy. The research activity of the group focuses on two areas: • Waste engineering: Modeling of urban waste management, Application of geographic information systems, Biological waste treatment technologies, Waste valorization and minimization. • Assessment and management of life cycle sustainability: Ecodesign, Life Cycle Analysis (LCA), Life Cycle Sustainability Analysis (LCSA), Sustainability and circularity indicators, Environmental/sustainability labeling and communication, Green/Sustainable/Circular Public Procurement. With a complete and modern laboratory instrumentation and an experienced human team, the INGRES group carries out applied research work and projects, offering results in the short and medium term with which to improve the environmental conditions of products, organizations and the urban environment, and making special emphasis on waste management.
Researchers
Classifications
- ODS: Sustainable cities and communities, Responsible consumption and production, Climate action
- AREA: Industrial production, Environment
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Prevailing specialties (top 10)
Obtained from publications help
Obtained from publications
The displayed thematic specialties have been obtained through the application of artificial intelligence models, derived as a result of the Hercules Project from those publications with an abstract, provided that the record does not come from commercial databases, which impose restrictions on data usage.
The displayed thematic specialties have been obtained through the application of artificial intelligence models, derived as a result of the Hercules Project from those publications with an abstract, provided that the record does not come from commercial databases, which impose restrictions on data usage.
- Civil and Structural Engineering (Engineering) Filter
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- Urban Studies (Social Sciences) Filter
- Condensed Matter Physics (Physics and Astronomy) Filter
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