scispace - formally typeset
C

Cong Nam Truong

Researcher at Technische Universität München

Publications -  18
Citations -  607

Cong Nam Truong is an academic researcher from Technische Universität München. The author has contributed to research in topics: Battery (electricity) & Photovoltaic system. The author has an hindex of 8, co-authored 18 publications receiving 487 citations.

Papers
More filters
Journal ArticleDOI

Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Tesla’s Powerwall

TL;DR: In this paper, the economic benefit of the Powerwall for end-users with respect to various influencing parameters: electricity price, aging characteristics of the batteries, topology of battery system coupling, subsidy schemes, and retrofitting of existing PV systems is analyzed.
Journal ArticleDOI

Lithium-ion Battery Cost Analysis in PV-household Application

TL;DR: In this paper, the authors use a multi-parameter economic model which allows profitability estimation for BESS with sensitivity to both technical and economical parameters, such as battery end-of-life criterion, battery ageing behavior, electricity prices and storage investment costs.
Journal ArticleDOI

Economic Optimization of Component Sizing for Residential Battery Storage Systems

TL;DR: In this paper, a general method for comprehensive PV-BESS techno-economic analysis and optimization is presented and applied to the state-of-the-art BESS to determine its optimal parameters.
Journal ArticleDOI

Evaluation of grid-level adaptability for stationary battery energy storage system applications in Europe

TL;DR: Simulation results show that grid challenges, addressed by battery storage systems in low-voltage grids, have positive multiplicative impacts on upper grid levels, reducing local grid demand and lowering power peak stress.
Journal ArticleDOI

Analysis and Optimization of Pulse Dynamics for Magnetic Stimulation

TL;DR: In this paper, a nonlinear model of a mammalian axon was used to analyze and optimize the waveform dynamics using a hybrid global-local method, and the optimization objective was to minimize the pulse energy loss.