Using inventory models for sizing energy storage systems: An interdisciplinary approach. (November 2016)

• Record Type: Journal Article
• Authors: Schneider, Maximilian; Biel, Konstantin; Pfaller, Stephan; Schaede, Hendrik; Rinderknecht, Stephan; Glock, Christoph H.
• Is Part Of: Journal of energy storage. Volume 8(2016)
• Page Start: 339
• Page End: 348
• Publication Date: 2016-11
• Subjects: Energy storage -- PV home storage -- Sizing -- Newsvendor model -- Inventory model; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2016.02.009
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: Adoption of a single-period newsvendor model with supply uncertainties to be used for optimally sizing an electrical energy storage system (EESS). Typical inventory cost components and supply chain characteristics are translated to the EESS application. Verification of model using a numerical example for an apartment house with a photovoltaic system. Results show that inventory management and energy storage can be aligned. The optimal size of the EESS takes into account the total cost of the storage system including energetic losses as well as the costs for energy supply from the own energy systems and from the energy supplier. Abstract: This paper adopts a single-period newsvendor model with supply uncertainties to be used for optimally sizing an electrical energy storage system (EESS) for an apartment house with a photovoltaic system. Hence, typical inventory cost components and supply chain characteristics are translated into the EESS application. The results show that existing research approaches for inventory management can be adapted to determine the optimal size of an EESS. The proposed EESS-sizing procedure takes into account the total cost of the storage system including energetic losses as well as the costs for energy supply from the own energy systems and from the energy supplier.