Incentive policies for coal plants in Turkey

Turkey need for electricity increases constantly because of its developing economy. So it applies to incentives to find solution to the problem of scarcity of electricity. Building plants using coal gets the greatest support from the state in Turkey. Electricity production with coal in Turkey increases faster than the other sources due to the incentive policies at place. On the other hand, coal compared with other fossil fuel is also the most abundant and most widely used fossil fuel in the world. According to the International Energy Agency data, building plants using coal is in the lead. In addition, it is foreseen that building plants using coal will be the major way of producing electricity although many other materials started to be used in the production of electricity. The aim of this study is to evaluate the incentive policies Turkey has in regards to coal plants and to offer policies

Exergy analysis of a vacuum tube solar collector system having indirect working principle

In this study, the energy and exergy analysis of a hot water preparation system, which is a boiler assisted vacuum tube solar collector, has been conducted. The obtained data were compared with reported results in the literature related to direct operating principle system. Average energy and exergy efficiencies of the experimental system were founded 12% and 0.3%, respectively. The average energy and exergy efficiencies of the vacuum tube solar collectors were founded 13.6% and 1.3%. Energy and exergy efficiencies of the vacuum tube solar collectors, which have indirect operating principle, are lower than direct system working with solar collectors. Maximum exergy loss has occurred in the vacuum tube solar collectors and followed it boiler and pump, respectively

EXERGY ANALYSIS OF A VACUUM TUBE SOLAR COLLECTOR SYSTEM HAVING INDIRECT WORKING PRINCIPLE

In this study, the energy and exergy analysis of a hot water preparation system, which is a boiler assisted vacuum tube solar collector, has been conducted. The obtained data were compared with reported results in the literature related to direct operating principle system. Average energy and exergy efficiencies of the experimental system were founded 12\% and 0.3\%, respectively. The average energy and exergy efficiencies of the vacuum tube solar collectors were founded 13.6\% and 1.3\%. Energy and exergy efficiencies of the vacuum tube solar collectors, which have indirect operating principle, are lower than direct system working with solar collectors. Maximum exergy loss has occurred in the vacuum tube solar collectors and followed it boiler and pump, respectively

Evaluation of microhardness and water absorption properties of propolis cream added resin based dental composite

European Biotechnology Congress -- APR 26-28, 2018 -- Athens, GREECEWOS: 000454825900095

How May New Energy Investments Change the Sustainability of the Turkish Industrial Sector?

Utilization of renewable energy in the Turkish industrial sector is becoming more important nowadays. The tendency toward renewable energy can be clearly seen with newly planned energy investments. The energy appearance of the Turkish industrial sector for past two decades and ongoing energy projects are discussed in this study with the help of sustainability indicators. The sustainability index is based on advanced exergy analysis and shows the environmental impact of production processes and measures the transformation of energy resources in the Turkish industrial sector. This index was approximately 2.03 in 2000 and it improved to 2.25 in 2008, and then remained constant with minor fluctuations until 2019. Depending on the fulfillment of the continuing fossil, nuclear, and recommended renewable energy investment scenarios, the sustainability index may change to between 1.96 and 2.17 by 2023. None of the ongoing investments will make a major improvement in the sustainability of the industrial sector; therefore, a major shift toward the use of more renewable energy is urgently needed. Establishing solar or wind energy microgrids plants may improve the sustainability indicators drastically, therefore, encouragement of their investments is very important

Multivariable Air-Quality Prediction and Modelling via Hybrid Machine Learning: A Case Study for Craiova, Romania

Inadequate air quality has adverse impacts on human well-being and contributes to the progression of climate change, leading to fluctuations in temperature. Therefore, gaining a localized comprehension of the interplay between climate variations and air pollution holds great significance in alleviating the health repercussions of air pollution. This study uses a holistic approach to make air quality predictions and multivariate modelling. It investigates the associations between meteorological factors, encompassing temperature, relative humidity, air pressure, and three particulate matter concentrations (PM10, PM2.5, and PM1), and the correlation between PM concentrations and noise levels, volatile organic compounds, and carbon dioxide emissions. Five hybrid machine learning models were employed to predict PM concentrations and then the Air Quality Index (AQI). Twelve PM sensors evenly distributed in Craiova City, Romania, provided the dataset for five months (22 September 2021–17 February 2022). The sensors transmitted data each minute. The prediction accuracy of the models was evaluated and the results revealed that, in general, the coefficient of determination (R2) values exceeded 0.96 (interval of confidence is 0.95) and, in most instances, approached 0.99. Relative humidity emerged as the least influential variable on PM concentrations, while the most accurate predictions were achieved by combining pressure with temperature. PM10 (less than 10 µm in diameter) concentrations exhibited a notable correlation with PM2.5 (less than 2.5 µm in diameter) concentrations and a moderate correlation with PM1 (less than 1 µm in diameter). Nevertheless, other findings indicated that PM concentrations were not strongly related to NOISE, CO2, and VOC, and these last variables should be combined with another meteorological variable to enhance the prediction accuracy. Ultimately, this study established novel relationships for predicting PM concentrations and AQI based on the most effective combinations of predictor variables identified

Cotton/Epoxy Bio-Composite usage as an impact attenuator material for formula student race cars

European Biotechnology Congress -- APR 26-28, 2018 -- Athens, GREECEWOS: 000454825900297

Assessment of Whole Milk Powder Production by a Cumulative Exergy Consumption Approach

The production of food is a sector that consumes a significant amount of energy and encompasses both agricultural and industrial processes. In this study, the energy consumption of whole milk powder production, which is known to be particularly energy-intensive, was examined. The study used a cumulative exergy consumption approach to evaluate the overall production process of whole milk powder, including the dairy farm (raw milk production) and dairy factory (powder production) stages. The results showed that raw milk production dominated energy and exergy consumption and carbon dioxide emissions. An amount of 68.3% of the total net cumulative exergy consumption in the system was calculated for raw milk production. In the dairy factory process, the highest energy/exergy consumption occurred during spray drying, followed by evaporation and pasteurization. In these three processes, 98.3% of the total energy consumption, 94.6% of the total exergy consumption, and 95.7% of the total carbon dioxide emissions in powder production were realized. To investigate the improvement potentials in the system, replacing fossil fuels with renewable energy sources and using pasture feeding in animal husbandry were evaluated. While using alternative energy sources highly influenced powder production, pasture feeding had a high impact on consumption in raw milk production. By using renewable energy and pasture feeding, the exergy efficiency, cumulative degree of perfection, renewability index, and exergetic sustainability index values for the overall process increased from 40.5%, 0.282, −0.22, and 0.68 to 68.9%, 0.433, 0.65, and 2.21, respectively

Assessment of Whole Milk Powder Production by a Cumulative Exergy Consumption Approach

The production of food is a sector that consumes a significant amount of energy and encompasses both agricultural and industrial processes. In this study, the energy consumption of whole milk powder production, which is known to be particularly energy-intensive, was examined. The study used a cumulative exergy consumption approach to evaluate the overall production process of whole milk powder, including the dairy farm (raw milk production) and dairy factory (powder production) stages. The results showed that raw milk production dominated energy and exergy consumption and carbon dioxide emissions. An amount of 68.3% of the total net cumulative exergy consumption in the system was calculated for raw milk production. In the dairy factory process, the highest energy/exergy consumption occurred during spray drying, followed by evaporation and pasteurization. In these three processes, 98.3% of the total energy consumption, 94.6% of the total exergy consumption, and 95.7% of the total carbon dioxide emissions in powder production were realized. To investigate the improvement potentials in the system, replacing fossil fuels with renewable energy sources and using pasture feeding in animal husbandry were evaluated. While using alternative energy sources highly influenced powder production, pasture feeding had a high impact on consumption in raw milk production. By using renewable energy and pasture feeding, the exergy efficiency, cumulative degree of perfection, renewability index, and exergetic sustainability index values for the overall process increased from 40.5%, 0.282, −0.22, and 0.68 to 68.9%, 0.433, 0.65, and 2.21, respectively