scholarly journals Farm scale electrical power production from animal waste. Volume I. Final report, 30 June 1981-30 December 1983

1984 ◽  
Author(s):  
P.A. Carpenter
Keyword(s):  
Electrical Power ◽  
Power Production ◽  
Animal Waste ◽  
Final Report ◽  
Farm Scale

Standardization of Cross Flow Turbine Design for Typical Micro-Hydro Site Conditions in Pakistan

2014 ◽  
Author(s):  
J. A. Chattha ◽  
M. S. Khan ◽  
H. Iftekhar ◽  
S. Shahid
Keyword(s):  
Electrical Power ◽  
Cross Flow ◽  
Power Production ◽  
Radius Of Curvature ◽  
Manufacturing Cost ◽  
Site Conditions ◽  
Hydro Power ◽  
Turbine Efficiency ◽  
Turbine Design ◽  
Typical Site

Pakistan has a hydro potential of approximately 42,000MW; however only 7,000MW is being utilized for electrical power production [1, 2]. Out of 42,000 MW, micro hydro potential is about 1,300MW [1, 2]. For typical site conditions (available flow rate and head) in Pakistan, Cross Flow Turbines (CFTs) are best suited for medium head 5–150m [3] for micro-hydro power production. The design of CFT generally includes details of; the diameter of the CFT runner, number of blades, radius of curvature and diameter ratio. This paper discusses the design of various CFTs for typical Pakistan site conditions in order to standardize the design of CFTs based on efficiency that is best suited for a given site conditions. The turbine efficiency as a function of specific speed will provide a guide for cross flow turbine selection based on standardized turbine for manufacturing purposes. Standardization of CFT design will not only facilitate manufacturing of CFT based on the available site conditions with high turbine efficiency but also result in reduced manufacturing cost.

scholarly journals Pollution Problems in Koya City due to Private Electrical Generators

2019 ◽  
Vol 7 (2) ◽  
pp. 38-46
Author(s):  
Hayder H. Abbas ◽  
Fakhri H. Ibraheem ◽  
Ahmed A. Maaroof
Keyword(s):  
Environmental Problem ◽  
Electrical Power ◽  
Environmental Pollutants ◽  
Power Production ◽  
Negative Effects ◽  
Power Generators ◽  
Number Of Generators ◽  
The World ◽  
Carbon Dioxide Co2 ◽  
Annual Amount

Koya city, like any other city in the world, faces a critical environmental problem which is global warming and the increase in the rate of production of gaseous pollutants. This research is involved with the negative effects of private Electrical Power Generators (EPGs) on the environment in Koya City. The environmental pollutants resulted from EPGs were investigated by performing an actual study on land for the number of (EPGs), types, and distribution. Koya city is divided into 18 quarters. The investigation covers a period from 2009 to 2017, included. The production of power was increased due to the increase in the number of generators and supplying hours. The power production in 2009 was 23,850 megawatt (MW) whereas it was 49,635 MW in 2017. The amount of fuel consumed in 2009–2017 was relatively increased from 30,000 to 62,500 barrel/year. The total amount of pollutants was increased by about 108% during the period 2009–2017. The results showed that the most significant increase in pollutants was carbon dioxide (CO2). The annual amount of (CO2) emitted in 2009 was 6588 tons whereas it has increased in 2017–13710 tons. The conclusion of this study was that the highest pollution occurred in the center of Koya City in Nabeel quarter, which represented 22% of the whole pollutants.

scholarly journals Decentralized wastewater treatment using a bioelectrochemical system to produce methane and electricity

2016 ◽  
Vol 6 (4) ◽  
pp. 613-621
Author(s):  
Cynthia J. Castro ◽  
Varun Srinivasan ◽  
Joshua Jack ◽  
Caitlyn S. Butler
Keyword(s):  
Organic Matter ◽  
Electrical Power ◽  
Power Production ◽  
Low Flow ◽  
Bioelectrochemical System ◽  
Waste Streams ◽  
Decentralized Wastewater Treatment ◽  
Electrochemical Systems ◽  
Decentralized Treatment ◽  
Suspended Growth

Biological electrochemical systems (BESs) have the potential for decentralized treatment in developing countries. A 46 L, two-chamber, hydraulically partitioned microbial fuel cell (MFC) was designed to replicate low-flow scenarios leaving a composting toilet. The co-evolution of electricity and methane in this MFC was evaluated by testing two distinct waste streams: synthetic feces (Case F) and municipal primary effluent (Case W). Oxidation of organic matter was 76 ± 24% during Case F and 67 ± 21% during Case W. Methanogenesis was dominant in the anode, yielding potential power of 3.3 ± 0.64 W/m3 during Case F and 0.40 ± 0.07 W/m3 during Case W. Electrical power production was marginal, Case F = 4.7 ± 0.46 and Case W = 10.6 ± 0.39 μW/m3, although potentially useful in energy-limited areas. Complimentary batch cultivations with anode inocula yielded greater methane production in the presence of graphite. 74 ± 11% more methane was produced with graphite than suspended growth enrichments and 58 ± 10% more than enrichments with non-conductive plastic beads. The co-production of methane and electricity in an MFC may have utility in decentralized treatment. Further work is needed to optimize power from both electricity and methane.

scholarly journals Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 740 ◽  
Author(s):  
Jesus L. Lobo ◽  
Igor Ballesteros ◽  
Izaskun Oregi ◽  
Javier Del Ser ◽  
Sancho Salcedo-Sanz
Keyword(s):  
Power Plants ◽  
Electrical Power ◽  
Predictive Performance ◽  
Power Production ◽  
Combined Cycle ◽  
Machine Learning Techniques ◽  
Power Prediction ◽  
New Information ◽  
Power And Energy Systems ◽  
Power And Energy

The prediction of electrical power produced in combined cycle power plants is a key challenge in the electrical power and energy systems field. This power production can vary depending on environmental variables, such as temperature, pressure, and humidity. Thus, the business problem is how to predict the power production as a function of these environmental conditions, in order to maximize the profit. The research community has solved this problem by applying Machine Learning techniques, and has managed to reduce the computational and time costs in comparison with the traditional thermodynamical analysis. Until now, this challenge has been tackled from a batch learning perspective, in which data is assumed to be at rest, and where models do not continuously integrate new information into already constructed models. We present an approach closer to the Big Data and Internet of Things paradigms, in which data are continuously arriving and where models learn incrementally, achieving significant enhancements in terms of data processing (time, memory and computational costs), and obtaining competitive performances. This work compares and examines the hourly electrical power prediction of several streaming regressors, and discusses about the best technique in terms of time processing and predictive performance to be applied on this streaming scenario.

Characterization of Piezoelectric Materials for Thermoacoustic Power Transduction

2008 ◽  
Author(s):  
A. Wekin ◽  
C. Richards ◽  
K. Matveev ◽  
M. Anderson
Keyword(s):  
Experimental Study ◽  
Piezoelectric Materials ◽  
Electrical Power ◽  
Power Production ◽  
Piezoelectric Transducers ◽  
Maximum Power ◽  
Small Scale ◽  
Thermoacoustic Engine ◽  
Thermoacoustic Engines

In this work an experimental study of the performance of piezoelectric transducers for power production from a small-scale thermoacoustic engine is presented. Four piezoelectric samples are identified and characterized. These samples are tested on a variable acoustic driver and electrical power produced is measured. Finally, the samples are tested on four experimental thermoacoustic engines to verify the results from the acoustic setup. The maximum power produced is 177 μW from a closed thermoacoustic engine coupled to a 15mm PZT disk.

scholarly journals The Catholyte Effects on The Microbial Desalination Cell Performance of Desalination and Power Generation

2021 ◽  
Vol 27 (7) ◽  
pp. 53-65
Author(s):  
Suhad Shamil Jaroo ◽  
Ghufran Farooq Jumaah ◽  
Talib Rashid Abbas
Keyword(s):  
Power Density ◽  
Electrical Power ◽  
Power Production ◽  
Cod Removal ◽  
The Other ◽  
Air Cathode ◽  
New Approach ◽  
Efficient Type ◽  
Microbial Desalination Cell ◽  
Power Densities

A microbial desalination cell (MDC) is a new approach to bioelectrochemical systems. It provides a more sustainable way to electrical power production, saltwater desalination, and wastewater treatment at the same time. This study examined three operation modes of the MDC: chemical cathode, air cathode, and biocathode MDC, to give clear sight of this system's performance. The experimental work results for these three modes were recorded as power densities generation, saltwater desalination rates, and COD removal percentages. For the chemical cathode MDC, the power density was 96.8 mW/m2, the desalination rate was 84.08 ppm/hr, and the COD removal percentage was 95.94%. The air cathode MDC results were different; the power density was 24.2 mW/m2, the desalination rate was 86.11 ppm/hr, and the COD removal percentage was 91.38%. The biocathode MDC results were 19.91 mW/m2 as the power density, 88.9 ppm/hr as the desalination rate, and 96.94% as the COD removal percentage. The most efficient type of MDC in this study in power production was the chemical cathode MDC, but it is the lowest sustainable. On the other hand,  the biocathode MDC was the best in desalination process performance, and both the air cathode and biocathode MDC are more sustainable and environmentally friendly, especially the biocathode MDC.

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