- Conference Paper
A methodology is presented for the systematic identification of demand-side management (DSM) potential using mathematical programming techniques. For optimization of energy supply system (ESS), energy demands are usually considered as fixed constraints. However, assuming fixed demands leads to economically suboptimal solutions for the overall system. Thus, DSM measures should be integrated into the design of energy supply systems. DSM measures are-by definition-demand- And thus case-specific. Therefore, problem-specific models and tools are required to achieve the integrated design of energy demand and supply. In this work, we present a methodology simultaneously considering supply and demand side, without requiring an integrated model. This methodology provides guidance for process engineers by identifing time steps with large potential for cost reduction through DSM. The proposed method consists of two steps motivated by the two dimensions of a demand profile: 1. At what time is it most valuable to reduce the demand? 2. How much energy demand reduction is most valuable? To identify the most promising time steps for DSM measures, the derivative of the objective function is evaluated. Subsequently, the identified time steps are analysed to determine the optimal amount of the demand reduction by maximizing the improvements of the objective function. The improvement in the objective function quantifies the DSM potential. The presented approach allows to employ a detailed mathematical model of the ESS accounting for time-varying load profiles, continuous equipment sizing, and part-load dependent operating efficiencies. In contrast, the process model is represented in a very simplified way by variations of the demand time series. Thus, the presented approach is applicable to various process domains without the need for detailed process knowledge. The benefits of the novel methodology are illustrated for an industrial real-world example. In particular, counterintuitive results are obtained such as time steps where demand reductions lead to increased cost. In summary, the presented methodology guides the process engineer towards cost savings through process modifications based on well-founded optimization results. Show more
Book title28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2015)
Pages / Article No.
SubjectDemand-side management; Energy supply systems; Optimization; Process systems
Organisational unit09696 - Bardow, André / Bardow, André
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