Experimental Determination of the Roundtrip Efficiency of Home Storage Systems in Multi-Family Buildings

Institute

Energy Efficient and Smart Cities (MSE)

Type

Master's Thesis /

Content

 

Description

Motivation and Background

As part of the ReLLFloW research project, the startup FlexHome.Energy is providing the CoSES Laboratory at TUM with home battery storage systems with approximately 2 kWh of usable capacity. These systems are to be managed in the future by intelligent algorithms. The goal is to actively involve tenants in multi-family buildings in the flexibility mechanisms of the energy transition, such as grid-supportive use of dynamic electricity tariffs, through the use of these storage systems.

A key performance indicator for the efficiency and economic viability of battery systems is the Roundtrip Efficiency (RTE), i.e., the ratio of energy discharged to energy charged over a full charge/discharge cycle.

Despite its importance, RTE has rarely been studied systematically, comparably, and under realistic conditions in practice. This thesis aims to fill that gap and pave the way for a standardized test setup that enables technology- and manufacturer-independent comparisons.

Objectives and Tasks

The aim of this thesis is to design, conduct, and evaluate a systematic experimental setup to measure the RTE of home storage systems:

1. Study of the scientific fundamentals of RTE and analysis of influencing factors (e.g., temperature, inverter technology, battery chemistry).
2. Conceptualizationof a standardized, manufacturer-independent test setup, including the definition of relevant environmental conditions (e.g., temperature, state of charge, aging).
3. Development of a repeatable measurement protocol for cross-manufacturer application, also by third parties (e.g., manufacturers, testers).
4. Experimental measurement of FlexHome.Energy storage systems in the CoSES laboratory, for structured RTE analysis; optionally also other systems (E3DC, EcoFlow).
5. (Optional) Development of a simulation model or database concept for estimating RTE based on device characteristics.

Requirements

• Interest in energy and battery technologies.
• Solid knowledge in electrical engineering / measurement technology.
• Experience in data analysis (e.g., Python, MATLAB) is desirable.
• Excellent problem-solving abilities and a willingness to learn new things and face new challenges.

Possible start

sofort

Contact

Ulrich Ludolfinger
ge86dizmytum.de

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