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Model-centered approach to early planning and design of an eco-industrial park around an oil refinery. | LitMetric

Model-centered approach to early planning and design of an eco-industrial park around an oil refinery.

Environ Sci Technol

Industrial Ecology Program and Department of Energy and Process Engineering, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.

Published: July 2008

Industrial symbiosis promises environmental and economic gains through a utilization of the waste of some processes as a resource for other processes. Because of the costs and difficulties of transporting some wastes, the largest theoretical potential for industrial symbiosis is given when facilities are colocated in an eco-industrial park (EIP). This study proposes a model-centered approach with an eight-step procedure for the early planning and design of an eco-industrial park considering technical and environmental factors. Chemical process simulation software was used to model the energy and material flows among the prospective members and to quantify the benefits of integration among different firms in terms of energy and resources saved as compared to a reference situation. Process simulation was based on a combination of physical models of industrial processes and empirical models. The modeling allows for the development and evaluation of different collaboration opportunities and configurations. It also enables testing chosen configurations under hypothetical situations or external conditions. We present a case study around an existing oil and gas refinery in Mongstad, Norway. We used the approach to propose the colocation of a number of industrial facilities around the refinery, focused on integrating energy use among the facilities. An EIP with six main members was designed and simulated, matching new hypothetical members in size to the existing operations, modeling material and energy flows in the EIP, and assessing these in terms of carbon and hydrogen flows.

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Source
http://dx.doi.org/10.1021/es071138lDOI Listing

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