Renewable energy resources can indisputably minimize the threat of global warming and climate change. However, they are intermittent and need buffer storage to bridge the time-gap between production (off peak) and demand peaks. Based on geologic and geochemical reasons, the North German Basin has a very large capacity for compressed air/gas energy storage CAES in porous saltwater aquifers and s...

The advantages of compressed air energy storage (CAES) have been demonstrated by the trigeneration system with characteristic high penetration renewable energy. However, since irreversible loss compression heat occurs during overall operation processes CAES, development CAES efficiency has hindered conventional conversion pathway heat. Therefore, a integrated and chemical is proposed in this st...

Energy systems play a significant role in harvesting energy from several sources and converting it to the forms needed for applications numerous sectors, e.g., utility, industry, building, transportation. In coming years, storage will key an efficient renewable future; more than does today’s fossil-based economy. There are different strategies storage. Among these strategies, of mechanical via ...

Abstract The increasing penetration of stochastic renewable energy has raised interest in storage to supply electricity on demand. Batteries are currently the preferred solution but concerns about their environmental impact remain. An alternative can be Compressed Air Energy Storage (CAES), which is intrinsically more flexible since, contrary batteries, capacity and power rating decoupled. In t...

The popularity of deep convolutional autoencoders (CAEs) has engendered new and effective reduced-order models (ROMs) for the simulation large-scale dynamical systems. Despite this, it is still unknown whether CAEs provide superior performance over established linear techniques or other network-based methods in all modeling scenarios. To elucidate effect autoencoder architecture on its associat...

Latin has a large group of derivatives whose suffixes appear to attach to the stem of the verb’s passive participle. The agent noun caesor ‘cutter’ is an example: inside caesor there is a stem caesthat is identical to that of the participle caesus, -ī ‘which has been cut-masc.-sg’, from the verb caedere. The same stem caesappears in other derivatives: caesiō ‘an act of cutting’, caesūra ‘a cutt...

Abstract Compressional Alfvén eigenmodes (CAEs) driven by energetic ions have been observed in magnetic fusion experiments. In this paper, we show that the modes can also be runaway electrons formed post-disruption plasma, which may explain kinetic instabilities DIII-D disruption experiments with massive gas injection. The spatial structure is calculated, as are frequencies agreement experiment...

Energy storage makes energy continuously available, programmable, and at power levels different from the original intensity. This study investigates feasibility of compressed-air (CAES) systems on a small scale. In addition to CAES systems, there are two TES (thermal storage) for recovery calories frigories. The micro-CAES + system is designed single-family residential building equipped with ph...

Abstract As a key energy equipment of the compressed air storage (CAES) system, centrifugal compressor with shroud cavity is employed to avoid leakage flow from rotor, especially in high-pressure stages. In order clarify characteristics and its influences, taken as research object present work. First, across has been studied numerically, it’s found that there are negative effects on compressor’...

We present a novel convolutional auto-encoder (CAE) for unsupervised feature learning. A stack of CAEs forms a convolutional neural network (CNN). Each CAE is trained using conventional on-line gradient descent without additional regularization terms. A max-pooling layer is essential to learn biologically plausible features consistent with those found by previous approaches. Initializing a CNN ...