• Energy Research

This paper highlights some of the issues which have made diagnostics of Lithiumion (Li-ion) battery energy storage systems very challenging from the both chemical and control engineering perspectives. The application of standard observers, Kalman, and particle filters in state estimation of Li-ion batteries are fully reviewed. Recent achievements in this field, pros and cons of various approaches, and future direction for research are outlined.

Turkey is primarily dependent on foreign energy sources to provide its energy supply.To reduce this dependency and create a sustainable energy economy at the point ofenergy supply and demand, it has increased renewable energy investment sconsiderably in recent years. In this context, a rapid acceleration was achieved with the renewable energy support mechanism published in 2010, and there is a great increase in solar and wind energy investments. The principal motivation of this thesis is there are very few studies on the installation of photovoltaic systems in public buildings in Turkey.This study aim is to give insight to decision-makers in case a rooftop solar photovoltaicsystem (RSPV) is installed in the main building of the Republic of Turkey Ministry of Industry and Technology (MoIT) located in the capital city of Turkey, Ankara. Under this target, two different RSPV systems, with and without battery energy storage(BES), were designed and technical and financial analyses of these systems were carried out. According to the data obtained, it was predicted that a Li-ion BES with a maximum capacity of 100 kWh and a photovoltaic system of 99,54 kWp could be designed on the roof of the building.Considering the financial analyses results; under the current feed-in tariff (FiT) scheme, it can be claimed that the RSPV system without a battery represent a more profitable investment compared to the RPSV system combined with BES. However,for investments to be made after 01 July 2021 when the new FiT scheme will comeinto force, it can be predicted that BES combined RSPV systems aiming at self consumption are much more advantageous since the FiT prices are determined inTurkish Lira and are lower than the current electricity market prices.In addition to these issues, it is recommended government should increase the amountof additional contribution to be given if domestic equipment is utilized in the PVinstallations, provide low-interest loans from state-owned banks and reduce the rate of income tax to increase the installation of RSPV systems in public buildings.

Applications and possible benefits of battery energy storage systems (BESS) have been discussed widely in scientific literature and industry. In an attempt to prepare for upcoming challenges the utility of the Canton of Zurich, EKZ, has acquired the largest BESS of Switzerland. The Zurich 1 MW BESS was designed to provide maximum versatility towards various possible BESS applications. The use cases intended to investigate within the project are outlined and first findings of a peak shaving algorithm applied to an office-building are presented.

Binder-free core-shell MnO2@NiC2O4 electrode for high performance energy storage

Community solar consisting of rooftop photovoltaic systems (RPVs) and battery energy storage systems, when designed properly, can address and solve many of the design and adoptability challenges brought by the individual RPVs and battery energy storage. Such systems can benefit many of the remote and rural communities, that are usually supplied by diesel generators, or long traditional distribution lines, which in addition to being expensive often don’t provide the reliability at desired level. These systems can also benefit most of the urban areas since the unmanaged penetration of RPVs has resulted in the undesired duck curve profile in the network. To this end, this paper proposes and verifies the appropriate design criteria for community solar projects with an aim to improve the network duck curve profile, enable peak-shaving and increase the self-sufficiency of the community.

This article presents usage of genetically tuned strategy for the upgraded and better response attributes of small sized battery energy storage system (BESS) in regard to load frequency control (LFC) applications of a single area power system with high penetration of wind. As opposed to the customary control methods this scheme proposes using genetic algorithm (GA) for the automatic updating of proportional and integral gains. Improvement in damping of frequency and power oscillations are presented. The tracking of reference power to actual power is also displayed.