(401e) Transforming the Circular Economy with the Value Web Model – a Multi-Objective Spatio-Temporal MILP Model for Planning, Design & Operation of Integrated Circular Value Chains
AIChE Annual Meeting
2018
2018 AIChE Annual Meeting
Sustainable Engineering Forum
Emerging Trends in Life Cycle Analysis
Tuesday, October 30, 2018 - 4:50pm to 5:10pm
The Value Web Model (VWM) is a multi-objective spatio-temporal optimisation model, based on mixed integer linear programming, that can simultaneously determine the design and operation of any integrated multi-vector energy networks. It has been developed to answer variants of the following questions: âWhat is the most effective way, in terms of cost, value/profit and/or emissions, of designing and operating the integrated multi-vector energy networks that utilise a variety of primary energy sources to deliver different energy services, such as heat, electricity and mobility, given the availability of primary resources and the levels of demands and their distribution across space and time? When to invest in technologies, where to locate them; what resources should be used, where, when and how to convert them to the energy services required; how to transport the resources and manage storage inventory?â
The many different possible pathways from all possible primary energy sources to all energy services via any number of energy vectors form a complex web of interactions between all of the elements of the system, including circular pathways. As value is being added at each transformation from primary resource to energy service, the whole system can be viewed as a value web. The system needs to be robust with respect to uncertainties such as the availability of primary energy sources, levels and timings of demands, costs and prices, policy changes and other technological uncertainties (e.g. appearance of a disruptive technology). The VWM can be applied to a wide variety of systems such as integrated energy systems, water networks, chemicals and pharmaceutical supply chains. In this presentation the focus will be on the application of VWM for strategic design and tactical operation of integrated energy value chains with various energy carriers such as hydrogen, electricity, syngas, methanol, biofuels/bioenergy and so on.
References:
[1] S. Samsatli, N.J. Samsatli (2018). A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies. Applied Energy. DOI: 10.1016/j.apenergy.2017.09.055.
[2] S. Samsatli, I. Staffell, N.J. Samsatli (2016). Optimal design and operation of integrated wind-hydrogen-electricity networks for decarbonising the domestic transport sector in Great Britain. Int. J. of Hydrogen Energy, 41, 447-475.
[3] S. Samsatli, N.J. Samsatli (2015). A general spatio-temporal model of energy systems with a detailed account of transport and storage. Computers and Chemical Engineering, 80, 155-176.
[4] S.M. Jarvis, S. Samsatli (2018). Technologies and infrastructures underpinning future CO2 value chains: a comprehensive review and comparative analysis. Renewable & Sustainable Energy Reviews, 85, 46-68.
[5] S. Samsatli, N.J. Samsatli, N. Shah (2015). BVCM: a comprehensive and flexible toolkit for whole-system biomass value chain analysis and optimisation - mathematical formulation. Applied Energy, 147, pp. 131-160.
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