scholarly journals Process modelling and techno-economic analysis of natural gas combined cycle integrated with calcium looping

2016 ◽  
Vol 20 (suppl. 1) ◽  
pp. 59-67 ◽  
Author(s):  
María Erans ◽  
Dawid Hanak ◽  
Jordi Mir ◽  
Edward Anthony ◽  
Vasilije Manovic
Keyword(s):  
Natural Gas ◽  
Large Scale ◽  
Combined Cycle ◽  
Process Models ◽  
Capital Costs ◽  
Calcium Looping ◽  
Industrial Sectors ◽  
Natural Gas Combined Cycle ◽  
Before And After ◽  
Economic Analyses

Calcium looping (CaL) is promising for large-scale CO2 capture in the power generation and industrial sectors due to the cheap sorbent used and the relatively low energy penalties achieved with this process. Because of the high operating temperatures the heat utilisation is a major advantage of the process, since a significant amount of power can be generated from it. However, this increases its complexity and capital costs. Therefore, not only the energy efficiency performance is important for these cycles, but also the capital costs must be taken into account, i.e. techno-economic analyses are required in order to determine which parameters and configurations are optimal to enhance technology viability in different integration scenarios. In this study the integration scenarios of CaL cycles and natural gas combined cycles (NGCC) are explored. The process models of the NGCC and CaL capture plant are developed to explore the most promising scenarios for NGCC-CaL integration with regards to efficiency penalties. Two scenarios are analysed in detail, and show that the system with heat recovery steam generator (HRSG) before and after the capture plant exhibited better performance of 49.1% efficiency compared with that of 45.7% when only one HRSG is located after the capture plant. However, the techno-economic analyses showed that the more energy efficient case, with two HRSGs, implies relatively higher cost of electricity (COE), 44.1?/MWh, when compared to that of the reference plant system (33.1?/MWh). The predicted cost of CO2 avoided for the case with two HRSGS is 29.3 ?/ton CO2.

scholarly journals Sustainable Personnel Scheduling Problem Optimization in a Natural Gas Combined-Cycle Power Plant

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 702 ◽  
Author(s):  
Özder ◽  
Özcan ◽  
Eren
Keyword(s):  
Power Plant ◽  
Natural Gas ◽  
Large Scale ◽  
Combined Cycle ◽  
Scheduling Problem ◽  
Personnel Scheduling ◽  
Work Schedules ◽  
Combined Cycle Power Plant ◽  
Proposed Model ◽  
Natural Gas Combined Cycle

This paper deals with a sustainable personnel scheduling problem of personnel working in a large-scale natural gas combined-cycle power plant in Turkey. The proposed model focuses on employee complaints due to unfair work schedules and the results of balanced assignments based on power plant interruptions. Eighty personnel work in three shifts at this natural gas combined-cycle power plant. The model is solved with respect to some of the workers’ skills, and there are 20 criteria regarding skills. The analytic network process method is used to get the weights of workers’ skills, which are calculated and included in the model. Goal programming is used in this paper. Our proposed model gives cost minimization and fair work schedules for the power plant. Compared with the literature, the number and set of criteria are unique in terms of personnel competency in the energy sector. Minimizing cost and imbalanced assignments was achieved by the proposed model for the first time without considering the sector.

scholarly journals Staff Task-Based Shift Scheduling Solution with an ANP and Goal Programming Method in a Natural Gas Combined Cycle Power Plant

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 192 ◽  
Author(s):  
Emir Özder ◽  
Evrencan Özcan ◽  
Tamer Eren
Keyword(s):  
Power Plant ◽  
Natural Gas ◽  
Goal Programming ◽  
Large Scale ◽  
Combined Cycle ◽  
Shift Scheduling ◽  
Combined Cycle Power Plant ◽  
Scheduling Model ◽  
Natural Gas Combined Cycle ◽  
Gp Model

Shift scheduling problems (SSPs) are advanced NP-hard problems which are generally evaluated with integer programming. This study presents an applicable shift schedule of workers in a large-scale natural gas combined cycle power plant (NGCCPP), which realize 35.17% of the total electricity generation in Turkey alone, as at of the end of 2018. This study included 80 workers who worked three shifts in the selected NGCCPP for 30 days. The proposed scheduling model was solved according to the skills of the workers, and there were nine criteria by which the workers were evaluated for their abilities. Analytic network process (ANP) is a method used for obtaining the weights of workers’ abilities in a particular skill. These weights are used in the proposed scheduling model as concepts in goal programming (GP). The SSP–ANP–GP model sees employees’ everyday preferences as their main feature, bringing high-performance to the highest level, and bringing an objective functionality, and lowering the lowest success of daily choice. At the same time, the model introduced large-scale and soft constraints that reflect the nature of the shift requirements of this program by specifying the most appropriate program. The required data were obtained from the selected NGCCPP and the model solutions were approved by the plant experts. The SSP–ANP–GP model was resolved at a reasonable time. Monthly acquisition time was significantly reduced, and the satisfaction of the employees was significantly increased by using the obtained program. When past studies were examined, it was determined that a shift scheduling problem of this size in the energy sector had not previously been studied.

scholarly journals Techno-Economic Analyses of the CaO/CaCO3 Post-Combustion CO2 Capture From NGCC Power Plants

2021 ◽  
Vol 2 ◽  
Author(s):  
Chao Fu ◽  
Simon Roussanaly ◽  
Kristin Jordal ◽  
Rahul Anantharaman
Keyword(s):  
Power Plants ◽  
Research Work ◽  
Combined Cycle ◽  
Flue Gases ◽  
Economic Study ◽  
Calcium Looping ◽  
Natural Gas Combined Cycle ◽  
Combustion Technology ◽  
Economic Analyses ◽  
Plant Efficiency

Calcium looping is a post-combustion technology that enables CO2 capture from the flue gases of industrial processes. While considerable studies have been performed at various levels from fundamental reaction kinetics to the overall plant efficiency, research work on techno-economic analyses of the calcium looping processes is quite limited, particularly for the Natural Gas Combined Cycle (NGCC). Earlier work has shown that theoretically, a high thermal efficiency can be obtained when integrating calcium looping in the NGCC using advanced process configurations and a synthetic CaO sorbent. This paper presents an investigation of calcium looping capture for the NGCC through a techno-economic study. One simple and one advanced calcium looping processes for CO2 capture from NGCC are evaluated. Detailed sizing of non-conventional equipment such as the carbonator/calciner and the solid-solid heat exchanger are performed for cost analyses. The study shows that the CO2 avoided cost is 86–95 €/tCO2, avoided, which is considerably more expensive than the reference amine (MEA) capture system (49 €/tCO2, avoided). The calcium looping processes considered have thus been found not to be competitive with the reference MEA process for CO2 capture from NGCC with the inputs assumed in this work. Significant improvements would be required, for example, in terms of equipment capital cost, plant efficiency and sorbent annual cost in order to be make the calcium looping technology more attractive for capturing CO2 from NGCC plants.

Current and Future Technologies for Natural Gas Combined Cycle (NGCC) Power Plants

2013 ◽  
Author(s):  
Norma J. Kuehn ◽  
Kajal Mukherjee ◽  
Paul Phiambolis ◽  
Lora L. Pinkerton ◽  
Elsy Varghese ◽  
...  
Keyword(s):  
Natural Gas ◽  
Power Plants ◽  
Combined Cycle ◽  
Natural Gas Combined Cycle ◽  
Future Technologies
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