Optimization of Power Train Involving Gas Turbine Driven Compressors and Aerial Coolers

Author(s):  
K. K. Botros ◽  
H. Golshan ◽  
A. Hawryluk ◽  
B. Sloof

Multi-objective optimizations were conducted for a compressor station comprising two dissimilar compressor units driven by two dissimilar gas turbines, two coolers of different size, and two parallel pipeline sections to the next station. Genetic algorithms were used in this optimization along with models describing the performance characteristics of gas turbines, compressors, aerial coolers, and downstream pipeline section. Essential in these models is the heat transfer between the gas and soil as it affects the pressure drop along the pipeline, and hence relates back to the coolers and compressor flow/pressure settings. Further investigative techniques were developed to also minimize NOx and CO2e emissions along with total energy consumption, i.e. fuel (used in the driver gas turbines) and electrical energy (used in the electrical fans of the aerial coolers). Two optimization scenarios were conducted: 1) Two-objective optimization of total energy consumption and NOx emission, and 2) Two-objective optimization of total energy consumption and CO2e emission. The results showed that savings in the energy consumption in the order of 5–6% is achievable with slight adjustment to unit load sharing and coolers by-pass/fan speed selections. It appears that most of the savings (around 70–75%) are derived from optimizing the load sharing between the two parallel compressors, while the balance of the savings is realized from optimizing the aerial coolers settings. In order to optimize operation for minimum NOx emission as well, a shift towards employing more of the aerial coolers is required. Preliminary cost analysis was conducted for valuation of balancing between energy consumption vs. emission loading in terms of both NOx and CO2e.

Author(s):  
A. Hawryluk ◽  
K. K. Botros ◽  
H. Golshan ◽  
B. Huynh

Multi-objective optimizations were conducted for a compressor station comprising two dissimilar compressor units driven by two dissimilar gas turbines, two coolers of different size, and two parallel pipeline sections to the next station. Genetic Algorithms were used in this optimization along with detailed models of the performance characteristics of gas turbines, compressors, aerial coolers, and downstream pipeline section. Essential in these models is the heat transfer between the gas and soil as it affects the pressure drop along the pipeline, and hence relates back to the coolers and compressor flow/pressure settings. Further investigative techniques were developed to refine the methodology as well as to minimize the downstream gas temperature at the suction of the next station. Current operating conditions at the station were compared to the optimized settings, showing that there is room for improving the efficiency of operation (i.e. lower energy consumption) with minimum effort on the station control strategy. Two threshold throughput conditions were determined in so far as single vs. multi-unit operations due to the dissimilarity in the compressor units and associated gas turbine drivers. The results showed that savings in the energy consumption in the order of 5–6% is achievable with slight adjustment to unit load sharing and coolers by-pass/fan speed selections. It appears that most of the savings (around 70–75%) are derived from optimizing the load sharing between the two parallel compressors, while the balance of the savings is realized from optimizing the aerial coolers settings. In particular, operating the aerial coolers at 50% fan speed (if permitted) could lead to substantial savings in electric energy consumption in some cases.


2021 ◽  
Vol 65 (1) ◽  
pp. 113-118
Author(s):  
Hamdi Sunnetci ◽  
Deniz Yilmaz

In these days, people spend 87% of their time indoors. Therefore, buildings are responsible for 36% of the total energy consumption and 40% of the CO2 emissions in the world. Besides, energy expenditures can be reduced, especially through improvements in public buildings used by many people. In this study, an annual energy consumption was conducted for an Olympic ice-skating rink and sports complex in Istanbul with a capacity of 900 spectators, was analyzed. Annual energy consumption of the building was 2 915 032 kWh electrical energy and 157 944 m3 natural gas. It was foreseen that 40 000kWh energy savings can be achieved annually with the evaporative pre-cooling system.


Jurnal Teknik ◽  
2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Rahma Farah Ningrum

Electricity consumption in the household sector is 37.5% of total energy consumption. In 2017 Basic Electricity Fare (BEF) has increased 4 times. To suppress the high price that must be paid every month from the use of electrical energy and to anticipate the occurrence of energy crisis required a system that can limit the use of electrical energy. Therefore, a system that can control and limit the use of electrical energy. The system uses the arduino as the control center of the model circuit component, then connected to the current-breaker application on the user's smartphone. So with this system people can control and limit the usage of electric current with ease, therefore the savings on electrical energy can be done and also is one way to anticipate the occurrence of energy crisis in the future


2013 ◽  
Vol 689 ◽  
pp. 273-277 ◽  
Author(s):  
Saniye Karaman Öztaş ◽  
Cahide Aydın Ipekci

Building materials damage to the environment during each stage of their life cycle. An important part of these damages is due to the energy consumption during the process. Many building materials sector like cement, iron, steel, glass etc use high rates of fuel and electrical energy. Greenhouse gases resulting from the use of energy lead to global warming that cause climate change. And acid rain damages living and non- living beings on the earth. In addition, volatile organic compounds and granular particles as a result of combustion of fossil sources enter the human body through the respiratory or digestive systems which lead to serious illnesses. Therefore, responsible use of energy is important for both resource efficiency and reducing environmental impacts. An important part of life cycle energy of building materials is consumed during the production and transportation processes. In this study, it is aimed to investigate initial embodied energy of cement, marble, glass and aluminum sectors in Turkey. The current situation was stated by the method of literature review and inventory analysis of the energy flow to calculate the amount of the total energy consumption of the building materials during these processes was recommended. Thus, it will be possible to compare the amount of total energy consumption in different production plants.


2012 ◽  
Vol 7 (4) ◽  
Author(s):  
A. Lazić ◽  
V. Larsson ◽  
Å. Nordenborg

The objective of this work is to decrease energy consumption of the aeration system at a mid-size conventional wastewater treatment plant in the south of Sweden where aeration consumes 44% of the total energy consumption of the plant. By designing an energy optimised aeration system (with aeration grids, blowers, controlling valves) and then operating it with a new aeration control system (dissolved oxygen cascade control and most open valve logic) one can save energy. The concept has been tested in full scale by comparing two treatment lines: a reference line (consisting of old fine bubble tube diffusers, old lobe blowers, simple DO control) with a test line (consisting of new Sanitaire Silver Series Low Pressure fine bubble diffusers, a new screw blower and the Flygt aeration control system). Energy savings with the new aeration system measured as Aeration Efficiency was 65%. Furthermore, 13% of the total energy consumption of the whole plant, or 21 000 €/year, could be saved when the tested line was operated with the new aeration system.


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