Prospect of Enhanced Geothermal system in baseload power generation

Given the strength of commodity prices in recent years, concerns over energy security and widening adoption of carbon emission pricing, renewables are well positioned to play growing role in global energy mix. Geothermal energy is on the face of it. By harnessing the heat of the earth, geothermal power plants tap into a virtually inexhaustible and continuous source of energy, using a small footprint facility to provide baseload electricity that is virtually CO2 and waste free. Geothermal projects today center on the exploitation of hydrothermal resources- reservoirs of naturally occurring water. This could change with Enhanced Geothermal System (EGS), a new form of geothermal exploitation being tested in areas that are not hydrothermal. This paper discusses the prospect of Enhanced (or Engineered) Geothermal System as a means to the baseload power generation. It also focuses on the technology behind creating engineered reservoirs, drilling costs and also the economics involved. It also reviews the environmental impacts as well as the areas for possible developments

Feature extraction of human sleep EEG signals using Wavelet Transform and Fourier Transform

Electroencephalogram (EEG) is a complex signal resulting from postsynaptic potentials of cortical pyramidal cells and an important brain state indicator with specific state dependent features. Modern brain research is intimately linked to the feasibility to record the EEG and to its quantitative analysis. EEG spectral analysis is an important method to investigate the hidden properties and hence the brain activities. Spectral analysis of sleep EEG signal provides acute insight into the features of different stages of sleep which can be utilized to differentiate between normal and pathological conditions. This paper describes the process of extracting features of human sleep EEG signals through the use of multi resolution Discrete Wavelet Transform and Fast Fourier Transform. Discrete Wavelet Transform offers representations of the signals in the time-frequency plane giving information regarding the time localization of the spectral components at different stages of sleep in human beings and Fast Fourier Transform provides the spectral information. This paper also discusses the clinical correlation associated with sleep EEG signals in brief

A human neural crest model reveals the developmental impact of neuroblastoma-associated chromosomal aberrations

Early childhood tumours arise from transformed embryonic cells, which often carry large copy number alterations (CNA). However, it remains unclear how CNAs contribute to embryonic tumourigenesis due to a lack of suitable models. Here we employ female human embryonic stem cell (hESC) differentiation and single-cell transcriptome and epigenome analysis to assess the effects of chromosome 17q/1q gains, which are prevalent in the embryonal tumour neuroblastoma (NB). We show that CNAs impair the specification of trunk neural crest (NC) cells and their sympathoadrenal derivatives, the putative cells-of-origin of NB. This effect is exacerbated upon overexpression of MYCN, whose amplification co-occurs with CNAs in NB. Moreover, CNAs potentiate the pro-tumourigenic effects of MYCN and mutant NC cells resemble NB cells in tumours. These changes correlate with a stepwise aberration of developmental transcription factor networks. Together, our results sketch a mechanistic framework for the CNA-driven initiation of embryonal tumours

Designing of an optimized building integrated hybrid energy generation system

This paper deals with designing a biomass and solar based hybrid power plant for residential building. The main focus of this work is to propose a hybrid energy system consists of biomass and solar PV. The system will produce enough electricity to power up an entire building just by collecting MSW and solar energy. As a part of this work, various research were done regarding different processes and techniques of biomass power plant which will be suitable for electricity production for a building. This work mainly includes designing of the hybrid power plant, estimating its cost and calculating different loads using Homer Pro software. Schematic diagram of the plant along with waste management are also within the scope of this paper. This proposed hybrid plant has a peak load of 115 KW. Average energy consumption of the building is estimated approximately 1399kwh/day and it will consume almost 1584 kg of biomass per day. The proposed system is designed to provide approximately 70-80% of energy from the biomass, 20% from PV and the rest will be dependent on main grid line

Designing of biomass based power plant for residential building energy system

This paper deals with designing a biomass based power plant for residential building. The main focus of this work is to propose a biomass plant to be built under a residential building which will produce enough electricity to power up an entire building just by collecting garbage and human waste. As a part of this work, various research were done regarding different processes and techniques of biomass power plant which will be suitable for electricity production for a building. This work mainly includes designing the biomass power plant, estimating its cost and calculating different loads using Homer software. Schematic diagram of the biomass plant along with waste management are also within the scope of this paper. This proposed biomass power plant has a peak load of 115 KW. Average energy consumption of the building is estimated approximately 1399 kwh/day and it will consume almost 2200 kg of biomass per day. The proposed system is designed to provide approximately 90% of energy from the biomass and the rest will be dependent on main grid line