In Qatar, the energy and basic materials industries together with the utility sector account for significant carbon, energy and water footprints. Individual plants responsible for footprints are clustered in industrial parks, resulting in spatially concentrated, stationary footprints. Individual companies operating plants and the industrial cities at large are challenged to respond to ambitious, emerging footprint reduction targets as part of the nation's transition towards QNV 2030 for sustainable development and the world's quest to avoid dangerous climate change.
This presentation will provide an overview over novel, systematic optimization-based approaches to support resource integration in industrial clusters. The focus of the presentation will be on approaches to the sustainable management of carbon dioxide and energy resources around industrial clusters. We will explain how the approaches have extended the state of the art in the field or process integration to enable industrial cluster resource integration to be systematically addressed in planning. The presented approaches have been developed into optimization-based computer aided tools that can help planners identify low footprint options by screening and identifying the most cost efficient solutions for managing resources under footprint and other relevant constraints. Case studies will be presented to illustrate applications and the potential benefits from applying the different approaches. We will conclude by explaining current and future extensions to enable resource planning across the broader nexus beyond GHG and Energy.