Implementing energy-efficient autonomous power systems with trigeneration for increasing the profitability of oil production

2019 ◽  
pp. 94-98 ◽  
Author(s):  
V.A. Naletov ◽  
◽  
M.B. Glebov ◽  
A.Yu. Naletov ◽  
V.B. Glebov ◽  
...  
Keyword(s):  
Power Systems ◽  
Energy Efficient ◽  
Oil Production ◽  
Autonomous Power Systems

Stability of autonomous power systems with reversible hydro power plants

2018 ◽  
Vol 158 ◽  
pp. 1-14 ◽  
Author(s):  
P. Beires ◽  
M.H. Vasconcelos ◽  
C.L. Moreira ◽  
J.A. Peças Lopes
Keyword(s):  
Power Systems ◽  
Power Plants ◽  
Hydro Power ◽  
Autonomous Power Systems ◽  
Hydro Power Plants

Defining connection requirements for autonomous power systems

2019 ◽  
Vol 14 (1) ◽  
pp. 3-12
Author(s):  
Pedro P. Beires ◽  
Carlos L. Moreira ◽  
João Peças Lopes ◽  
Agostinho G. Figueira
Keyword(s):  
Power Systems ◽  
Autonomous Power Systems

scholarly journals Power-Efficient Computing: Experiences from the COSA Project

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Daniele Cesini ◽  
Elena Corni ◽  
Antonio Falabella ◽  
Andrea Ferraro ◽  
Lucia Morganti ◽  
...  
Keyword(s):  
Power Systems ◽  
Energy Efficient ◽  
Nuclear Physics ◽  
Energy Performance ◽  
High Energy ◽  
High Ratio ◽  
Scientific Applications ◽  
Computing Systems ◽  
Power Efficient ◽  
Energy Efficient Computing

Energy consumption is today one of the most relevant issues in operating HPC systems for scientific applications. The use of unconventional computing systems is therefore of great interest for several scientific communities looking for a better tradeoff between time-to-solution and energy-to-solution. In this context, the performance assessment of processors with a high ratio of performance per watt is necessary to understand how to realize energy-efficient computing systems for scientific applications, using this class of processors. Computing On SOC Architecture (COSA) is a three-year project (2015–2017) funded by the Scientific Commission V of the Italian Institute for Nuclear Physics (INFN), which aims to investigate the performance and the total cost of ownership offered by computing systems based on commodity low-power Systems on Chip (SoCs) and high energy-efficient systems based on GP-GPUs. In this work, we present the results of the project analyzing the performance of several scientific applications on several GPU- and SoC-based systems. We also describe the methodology we have used to measure energy performance and the tools we have implemented to monitor the power drained by applications while running.

Proposal for a Highly Efficient Cogeneration System Using an Atmospheric Pressure Turbine Coupled With Biomass Gasification

2009 ◽  
Author(s):  
Y. Tsujikawa ◽  
K. Kaneko ◽  
N. Muraoka
Keyword(s):  
Power Systems ◽  
Atmospheric Pressure ◽  
Energy Efficient ◽  
High Efficiency ◽  
Brayton Cycle ◽  
Small Plant ◽  
Combustible Gas ◽  
Cogeneration System ◽  
Expansion Cooling ◽  
Made In

Biomass is a significant renewable energy source. The conversion of woody biomass into a combustible gas provides the opportunity to enhance the efficiency of biomass-based power systems, and allows solid fuels to be used in high-efficiency power generation processes. This paper discusses the energy efficient utilization of biomass by turbo machines under unpressurized conditions, working with the inverted Brayton cycle in which turbine expansion, cooling by heat exchanger and draft by compressor are made in an open cycle mode. We call this an “atmospheric pressure turbine (APT)”. Thermodynamic analysis has shown that an electric efficiency up to 25% (HHV) and a total energy efficiency of more than 80% (HHV) are expected for combined heat and power applications even at small plant capacities (∼40 kW).

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