Energy Storage and Conversion

Journal Abbreviation: Energ. Stor. Conv.

Article Processing Charges (APC):Click here for more details

Publishing Model: Open Access

Submission to final decision: days

Acceptance to publication: days

   About the Journal

With the increasing dependence of society on energy, from the perspective of sustainable development, energy storage and conversion technology and its application have become increasingly urgent. Energy Storage and Conversion (ESC) is an open access peer-reviewed journal, and focuses on the energy storage and conversion of various energy source. As a clean energy, thermal energy, water energy, wind energy, ammonia energy, etc., has become a key research direction of the international community, and the research of energy storage system has been extended to the field of energy conversion applications. Solar cells, for example, have made significant progress in efficiently harvesting solar energy and efficiently converting various fuels into electricity. Scopes of the Journal include, but are not limited to:

  • The theory and application of new energy;
  • The equipment and applications of energy storage;
  • Research on the utilization of renewable energy sources;
  • Conversion equipment, process, materials, and technology research;
  • Multi-energy storage and conversion combination, integration and other solutions;
  • Reliability, safety and performance analysis of energy management systems, etc.

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  Vol 2, No 1 (2024)

Table of Contents

Original Research Articles

by Youssef El Haj, Vijay Sood, Ahmed Sheir, Ruth Milman
28 Views, 0 Untitled Downloads, 20 PDF Downloads
This work proposes a systematic approach to design a novel integral sliding mode controller (ISMC) for a single-ended primary-inductor converter (SEPIC) with only one tunable parameter where the upper and the lower bounds are derived. The designed surface results in a minimal chattering behaviour at the output voltage as well as at the duty cycle and allows for operating the SEPIC at a fixed switching frequency. The proposed controller can withstand up to a 70% variation in the input voltage and 100% variation on the load side in addition to superior performance for a cold start. The proposed controller and the corresponding mathematical formulation were simulated in a Simulink environment and experimentally tested via a scaled prototype. The proposed controller performance is also compared to a Type-II and integral Linear-Quadratic Regulators (LQR).

Review Articles

by Jyoti Bhattacharjee, Subhasis Roy
66 Views, 67 PDF Downloads

The need for clean and renewable energy has grown dramatically during the past few years. As potential candidates for producing green energy in this region, photovoltaic and bio-solar energy technologies have arisen. This review presents a novel approach for designing and developing photovoltaics and bio-solar cells using eco-friendly materials and artificial intelligence (AI) techniques. An intriguing architecture is outlined for a bio-solar cell that fuses photovoltaic electronics with photosynthetic organisms. A recyclable thin-film solar cell serves as the basis of our photovoltaic system. To further maximize the effectiveness of the device, we use AI algorithms. According to statistical calculations, the proposed bio-solar cell can produce a sizable amount of electricity while being ecologically sound. This paper outlines significant advances in developing solar cells and photovoltaics using green nanomaterials and AI, which provide exciting potential for improving energy harvesting capacity. This review also presents an overview of the effects of the potential commercialization of our strategy, its social and environmental benefits, and its pitfalls.

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