scholarly journals Two-Stage, Integrated, Geothermal-CO2 Storage Reservoirs: An Approach for Sustainable Energy Production, CO2-Sequestration Security, and Reduced Environmental Risk

2012 ◽  
Author(s):  
T Buscheck ◽  
M Chen ◽  
Y Sun ◽  
Y Hao ◽  
T Elliot
Keyword(s):  
Environmental Risk ◽  
Co2 Sequestration ◽  
Energy Production ◽  
Sustainable Energy ◽  
Co2 Storage ◽  
Two Stage ◽  
Storage Reservoirs

scholarly journals CO2 sequestration-EOR in Yanchang oilfield, China: Estimation of CO2 storage capacity using a two-stage well test

2018 ◽  
Vol 154 ◽  
pp. 9-14 ◽  
Author(s):  
Vahab Honari ◽  
Jim Underschultz ◽  
Xingjin Wang ◽  
Andrew Garnett ◽  
Xiangzeng Wang ◽  
...  
Keyword(s):  
Co2 Sequestration ◽  
Storage Capacity ◽  
Co2 Storage ◽  
Well Test ◽  
Two Stage

CO2 Sequestration-EOR in a Tight Oil Reservoir: Estimation of Dynamic CO2 Storage Capacity Using a Two-Stage Well Test

2019 ◽  
Author(s):  
Vahab Honari ◽  
Jim Underschultz ◽  
Andrew Garnett ◽  
Xingjin Wang ◽  
Xiangzeng Wang ◽  
...  
Keyword(s):  
Co2 Sequestration ◽  
Storage Capacity ◽  
Co2 Storage ◽  
Tight Oil ◽  
Oil Reservoir ◽  
Well Test ◽  
Two Stage ◽  
Tight Oil Reservoir

scholarly journals Integrated Geothermal-CO2 Reservoir Systems: Reducing Carbon Intensity through Sustainable Energy Production and Secure CO2 Storage

2013 ◽  
Vol 37 ◽  
pp. 6587-6594 ◽  
Author(s):  
Thomas A. Buscheck ◽  
Thomas R. Elliot ◽  
Michael A. Celia ◽  
Mingjie Chen ◽  
Yunwei Sun ◽  
...  
Keyword(s):  
Energy Production ◽  
Sustainable Energy ◽  
Co2 Storage ◽  
Carbon Intensity ◽  
Reservoir Systems

Constraining Leakage Pathways Through the Overburden Above Sub-Seafloor Co2 Storage Reservoirs

2019 ◽  
Author(s):  
Jonathan Bull ◽  
Christian Berndt ◽  
Timothy Minshull ◽  
Timothy Henstock ◽  
Gaye Bayrakci ◽  
...  
Keyword(s):  
Co2 Storage ◽  
Storage Reservoirs

scholarly journals Optimization of Two-Stage IPD-(1+I) Controllers for Frequency Regulation of Sustainable Energy Based Hybrid Microgrid Network

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 919
Author(s):  
Abdul Latif ◽  
S. M. Suhail Hussain ◽  
Dulal Chandra Das ◽  
Taha Selim Ustun
Keyword(s):  
Sustainable Energy ◽  
Research Field ◽  
Optimization Techniques ◽  
Frequency Regulation ◽  
Water Heater ◽  
Two Stage ◽  
Domain Specific ◽  
Hybrid Microgrid ◽  
Main Challenge ◽  
Algorithmic Technique

Sustainable energy based hybrid microgrids are advantageous in meeting constantly increasing energy demands. Conversely, the intermittent nature of renewable sources represents the main challenge to achieving a reliable supply. Hence, load frequency regulation by adjusting the amount of power shared between subsystems is considered as a promising research field. Therefore, this paper presents a new stratagem for frequency regulation by developing a novel two stage integral-proportional-derivative with one plus integral (IPD-(1+I)) controller for multi sources islanded microgrid system (MS-IμGS). The proposed stratagem has been tested in an MS-IμGS comprising of a wind turbine, parabolic trough, biodiesel generators, solid-oxide fuel cell, and electric water heater. The proposed model under different scenarios is simulated in MATLAB environment considering the real-time recorded wind data. A recently developed sine-cosine algorithmic technique (SCA) has been leveraged for optimal regulation of frequency in the considered microgrid. To identify the supremacy of the proposed technique, comparative studies with other classical controllers with different optimization techniques have been performed. From the comparison, it is clearly evident that, SCA-(IPD-(1+I)) controller gives better performance over other considered stratagems in terms of various time domain specific parameters, such as peak deviations (overshoot, undershoot) and settling time. Finally, the robustness of the proposed stratagem is evaluated by conducting sensitivity analysis under ±30% parametric variations and +30% load demand. The lab tests results validate the operation of the proposed system and show that it can be used to regulate the frequency in stand-alone microgrids with a high penetration of renewable energy.

scholarly journals Numerical Simulation and Optimization of CO2 Sequestration in Saline Aquifers

2012 ◽  
Author(s):  
Zheming Zhang ◽  
Ramesh Agarwal
Keyword(s):  
Numerical Simulation ◽  
Co2 Sequestration ◽  
Storage Capacity ◽  
Co2 Storage ◽  
Injection Well ◽  
Co2 Injection ◽  
Great Promise ◽  
Saline Aquifer ◽  
Simulation And Optimization ◽  
Co2 Plume

With recent concerns on CO2 emissions from coal fired electricity generation plants; there has been major emphasis on the development of safe and economical Carbon Dioxide Capture and Sequestration (CCS) technology worldwide. Saline reservoirs are attractive geological sites for CO2 sequestration because of their huge capacity for sequestration. Over the last decade, numerical simulation codes have been developed in U.S, Europe and Japan to determine a priori the CO2 storage capacity of a saline aquifer and provide risk assessment with reasonable confidence before the actual deployment of CO2 sequestration can proceed with enormous investment. In U.S, TOUGH2 numerical simulator has been widely used for this purpose. However at present it does not have the capability to determine optimal parameters such as injection rate, injection pressure, injection depth for vertical and horizontal wells etc. for optimization of the CO2 storage capacity and for minimizing the leakage potential by confining the plume migration. This paper describes the development of a “Genetic Algorithm (GA)” based optimizer for TOUGH2 that can be used by the industry with good confidence to optimize the CO2 storage capacity in a saline aquifer of interest. This new code including the TOUGH2 and the GA optimizer is designated as “GATOUGH2”. It has been validated by conducting simulations of three widely used benchmark problems by the CCS researchers worldwide: (a) Study of CO2 plume evolution and leakage through an abandoned well, (b) Study of enhanced CH4 recovery in combination with CO2 storage in depleted gas reservoirs, and (c) Study of CO2 injection into a heterogeneous geological formation. Our results of these simulations are in excellent agreement with those of other researchers obtained with different codes. The validated code has been employed to optimize the proposed water-alternating-gas (WAG) injection scheme for (a) a vertical CO2 injection well and (b) a horizontal CO2 injection well, for optimizing the CO2 sequestration capacity of an aquifer. These optimized calculations are compared with the brute force nearly optimized results obtained by performing a large number of calculations. These comparisons demonstrate the significant efficiency and accuracy of GATOUGH2 as an optimizer for TOUGH2. This capability holds a great promise in studying a host of other problems in CO2 sequestration such as how to optimally accelerate the capillary trapping, accelerate the dissolution of CO2 in water or brine, and immobilize the CO2 plume.

Catalytic steam reforming of simulated bio-oil for green hydrogen production using highly active LaNixCo1-xO3 perovskite catalyst

2022 ◽  
Author(s):  
Piyush Pratap Singh ◽  
Neelkanth Nirmalkar ◽  
Tarak Mondal
Keyword(s):  
Hydrogen Production ◽  
Waste Management ◽  
Steam Reforming ◽  
Energy Production ◽  
Sustainable Energy ◽  
Agricultural Waste ◽  
Perovskite Catalyst ◽  
Highly Active ◽  
Bio Oil ◽  
Catalytic Steam Reforming

Catalytic steam reforming (SR) of agricultural waste derived bio-oil for hydrogen production is a unique technology, offering twin benefits of waste management as well as sustainable energy production. In the...

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