Balku, Şaziye

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Name Variants
B., Saziye
B.,Saziye
Ş.,Balku
Balku, Şaziye
Saziye, Balku
Şaziye, Balku
Balku, Saziye
B.,Şaziye
Balku,Ş.
S.,Balku
S., Balku
Balku,S.
Job Title
Doçent Doktor
Email Address
saziye.balku@atilim.edu.tr
Main Affiliation
Energy Systems Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
7
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
3
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
3
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
3
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

14

Articles

13

Views / Downloads

8/0

Supervised MSc Theses

0

Supervised PhD Theses

1

WoS Citation Count

253

Scopus Citation Count

287

Patents

0

Projects

0

WoS Citations per Publication

18.07

Scopus Citations per Publication

20.50

Open Access Source

5

Supervised Theses

1

JournalCount
Celal Bayar Üniversitesi Fen Bilimleri Dergisi1
Civil Engineering Journal1
Energy Conversion and Management1
Gazi University Journal of Science1
Hittite Journal of Science and Engineering1
Current Page: 1 / 2

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Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Article
    Citation - WoS: 31
    Citation - Scopus: 35
    Comparison Between Alternating Aerobic-Anoxic and Conventional Activated Sludge Systems
    (Pergamon-elsevier Science Ltd, 2007) Balku, Saziye
    Conventional activated sludge systems ensure removal of colloidal and dissolved carbonaceous organic matter whereas alternating aerobic-anoxic systems, in addition, satisfy a further reduction in nitrogen content of wastewater. Main difference between them is that the alternating system should also include an anoxic operation mode which satisfies denitrification. In other words conventional systems are operated under aerobic conditions whereas alternating systems require a periodical change from aerobic conditions to anoxic conditions. So the most important problem in alternating systems is to find the appropriate durations for both sequences. In this study a comparison between conventional and alternating systems is considered in terms of nitrogen removal and aeration time by simulation under the same conditions together with an optimization algorithm. The results show that an activated sludge system can be operated as an alternating aerobic-anoxic system so that nitrogen removal is also possible during treatment without any additional investment or operational cost. (C) 2007 Elsevier Ltd. All rights reserved.
  • Article
    Citation - WoS: 15
    Citation - Scopus: 18
    Control Vector Parameterization Approach in Optimization of Alternating Aerobic-Anoxic Systems
    (Wiley, 2009) Balku, Saziye; Yuceer, Mehmet; Berber, Ridvan
    Determination of the optimal aeration profile for an activated sludge system in which nitrification and denitrification take place sequentially in a single reactor (alternating aerobic-anoxic) is an attractive optimization problem because of complexities involved in, and high computational times required for solution. The rigorous dynamic modeling and start-up simulation of such a system, together with aeration profile optimization by an evolutionary algorithm (EA), were tackled in a previous study. In this paper an easy-to-implement dynamic optimization technique based on sequential quadratic programming method and control vector parameterization approach is provided. In comparison with EA, the proposed algorithm gives better results in shorter computation times. Copyright (C) 2009 John Wiley & Sons, Ltd.