scholarly journals Economic Analysis of Cow Manure Biogas as Energy Source for Electricity Power Generation in Small Scale Ranch

2015 ◽  
Vol 68 ◽  
pp. 122-131 ◽  
Author(s):  
Arini Wresta ◽  
Dian Andriani ◽  
Aep Saepudin ◽  
Henny Sudibyo
Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 494 ◽  
Author(s):  
Andrea Porcu ◽  
Stefano Sollai ◽  
Davide Marotto ◽  
Mauro Mureddu ◽  
Francesca Ferrara ◽  
...  

In order to limit global warming to around 1.5–2.0 °C by the end of the 21st century, there is the need to drastically limit the emissions of CO2. This goal can be pursued by promoting the diffusion of advanced technologies for power generation from renewable energy sources. In this field, biomass can play a very important role since, differently from solar and wind, it can be considered a programmable source. This paper reports a techno-economic analysis on the possible commercial application of gasification technologies for small-scale (2 MWe) power generation from biomass. The analysis is based on the preliminary experimental performance of a 500 kWth pilot-scale air-blown bubbling fluidized-bed (BFB) gasification plant, recently installed at the Sotacarbo Research Centre (Italy) and commissioned in December 2017. The analysis confirms that air-blown BFB biomass gasification can be profitable for the applications with low-cost biomass, such as agricultural waste, with a net present value up to about 6 M€ as long as the biomass is provided for free; on the contrary, the technology is not competitive for high-quality biomass (wood chips, as those used for the preliminary experimental tests). In parallel, an analysis of the financial risk was carried out, in order to estimate the probability of a profitable investment if a variation of the key financial parameters occurs. In particular, the analysis shows a probability of 90% of a NPV at 15 years between 1.4 and 5.1 M€ and an IRR between 11.6% and 23.7%.


2018 ◽  
Vol 10 (10) ◽  
pp. 423
Author(s):  
Rafael Gil Ferques ◽  
C. E. C. Nogueira ◽  
A. M. Meneghetti ◽  
D. M. Rocha

The objective of this work was to develop a computational application for the design of wind power generation systems in small-scale On-Grid and Off-Grid installations, using a user friendly and interactive process. Using artificial intelligence concepts in conjunction with genetic algorithms, to verify the technical and economic viability of the implementation of the wind power generation system. The application coding was done using the languages Java, C, C++ and the database in MySQL language, containing technical specifications and costs of components of a wind system (of this type of system). For the development of neural networks and genetic algorithms, the Encog library was used. The application has proven effective in designing and economic analysis of small wind systems, allowing fast and simple simulation of On-Grid systems and Off-Grid systems. In addition, it proved effective in storing and accessing the information regarding the simulations performed and in the comparison between them, in order to perform a new simulation. Also, it was reliable in the accomplishment of the economic analysis, returning in a clear form the feasibility or not of the implantation of the project.


2021 ◽  
Vol 1051 (1) ◽  
pp. 012054
Author(s):  
N A Najwa Annuar ◽  
N Kamarulzaman ◽  
Z F M Shadzalli ◽  
I H I Abdullah ◽  
P Y Liew ◽  
...  

2021 ◽  
Vol 9 (4) ◽  
pp. 1969-1969
Author(s):  
Bosong Lin ◽  
Theodore Wiesner ◽  
Mahdi Malmali

Author(s):  
Segen F. Estefen ◽  
Paulo Roberto da Costa ◽  
Eliab Ricarte ◽  
Marcelo M. Pinheiro

Wave energy is a renewable and non-polluting source and its use is being studied in different countries. The paper presents an overview on the harnessing of energy from waves and the activities associated with setting up a plant for extracting energy from waves in Port of Pecem, on the coast of Ceara State, Brazil. The technology employed is based on storing water under pressure in a hyperbaric chamber, from which a controlled jet of water drives a standard turbine. The wave resource at the proposed location is presented in terms of statistics data obtained from previous monitoring. The device components are described and small scale model tested under regular waves representatives of the installation region. Based on the experimental results values of prescribed pressures are identified in order to optimize the power generation.


Energy ◽  
2017 ◽  
Vol 132 ◽  
pp. 194-203 ◽  
Author(s):  
Yufeng Sun ◽  
Wenchao Cai ◽  
Bo Chen ◽  
Xueying Guo ◽  
Jianjun Hu ◽  
...  

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