Abstract

With the increasing use of renewable energy, the energy flexibility of buildings becomes increasingly important regarding grid support. Therefore, there is a need to describe this flexibility in a concise manner. For the characterization of building energy flexibility, flexibility factors can be used. The comparison of a selection of existing flexibility factors shows that they are not easy to use or understand for designers and users. A simplification is necessary. The aim of this study is to introduce a flexibility classification that is easy to understand and shows in an easy way if a building already uses the lowest energy cost level or if further improvement is possible. The classification expresses the annual energy costs in colored classes: green (class A) for lowest up to red (class D) for highest level. Basically, the flexibility classes can be derived for any metric of interest, in this paper examples are shown for energy costs and CO2eq emissions. The results given are based on the simulation of load management scenarios with different penalty signals applied for the heat pump operation of a residential building.

Highlights

  • The performance of controls based on the proposed penalty signals analyzed for the flexibility factors is shown in Figures 5 and 6

  • The large PV system with 20 kWp results in a higher winter yield which has a large impact on Grid Support Coefficient (GSC), Relative Import Bill (RIB) and Flexibility Factor (FF) rated with HTLT

  • The results are mirrored in self-consumption rate and autarky rate (Figure 8)

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Summary

Introduction

All factors illustrate the ability to shift the energy from high to a penalty-controlled case. All factors illustrate the ability to shift the energy from high to low prices or CO2eq emissions. The rating low prices or CO2eq emissions. The rating parameters are high/low tariff, spot market price or CO2eq emission. For transparency parameters are high/low tariff, spot market price or CO2eq emission. To describe flexibility in a way that is more useful for practitioners, a flexibility classification is proposed This classification immediately shows the total annual energy costs and whether the energy is mainly purchased at high or low prices. The flexibility classification includes four classes, A–D, and is based on the daily price quartiles (Table 5).

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