A methodology for designing flexible multi-generation systems

Abstract

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Optimization of a flexible multi-generation system based on wood chip gasification and methanol production

“…Responding to this, the concept of flexible multi-generation systems (FMG) was recently introduced by Lythcke-Jørgensen et al [6]. Here, FMGs were defined as integrated systems that generate multiple energy services and are able to adjust operation in response to fluctuating demand patterns and varying price schemes in the overarching energy system.…”

“…Variable long-term operation conditions, responding to developments in the energy system 5. Uncertainty analysis Numerous approaches for designing multi-generation systems have been presented in literature [7,8], but as discussed in Lythcke-Jørgensen et al [6], none of these are able to consider all five listed aspects coherently. For instance, Liu et al [9] developed a stochastic, multi-objective mixed integer-nonlinear programming model for designing polygeneration 1 systems based on several previous works, but did not consider short-term operation or process integration.…”

“…In addition, uncertainties were not addressed in the combined methodology. In consequence, a novel methodology for designing FMGs was introduced in Lythcke-Jørgensen et al [6] which included all the listed aspects as well as others, including biomass supply chains.…”

“…In two recent studies, Lythcke-Jørgensen et al [6,25] studied an FMG concept combining heat and power generation with the production of cellulosic ethanol and biogas-based synthetic natural gas. It was demonstrated how operation flexibility is a central aspect when assessing the performance of FMGs [25], and that systematic process integration ought to be considered when optimizing the design of FMGs [6]. The outcomes illustrate the importance of systematically considering the five previously listed design aspects when developing FMGs.…”

stUPscales: An R-Package for Spatio-Temporal Uncertainty Propagation across Multiple Scales with Examples in Urban Water Modelling

“…In addition, upper and lower limits to all model parameters were defined by expert knowledge and establishing uniform distributions. In the design of flexible multi-generation systems, Lythcke-Jorgensen et al [47] assume variations of ±25% and uniform distributions for parameters of investment and operating cost.…”