Determination of the biogas potential in cities with hazelnut production and examination of potential energy savings in Turkey

Şenol, Halil; Zenk, H

doi:10.1016/j.fuel.2020.117577

Cited by 17 publications

(2 citation statements)

References 28 publications

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“…It was also revealed that the province of Mersin has the biggest biogas potential. Senol and Zenk investigated the electrical energy potential of hazelnut shells for various provinces in Turkey 37 . The electrical energy potential calculated for each city was compared with the electricity consumption used in those cities.…”

Section: Introductionmentioning

confidence: 99%

Determination of the biogas potential of animal waste and plant location optimisation: A case study

Seyitoğlu

AVCIOĞLU

Haboğlu

2022

Intl J of Energy Research

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Summary Biomass energy sources consist of materials such as wood obtained from forests, wastes from agriculture and forestry processes, and industrial, human, and animal wastes. Biogas energy is generated as a result of the anaerobic decomposition of biomass. The analysis of biogas energy potential from animal waste plays a significant role in developing countries, which involves Turkey. Therefore, the work executed in this article presents a case study for such regions. A comprehensive analysis for the production potential of biogas from the wastes of breed animals in TR83 region in Turkey, which includes the provinces of Amasya, Çorum, Samsun and Tokat is presented in this study. The number of animals and their total waste generation were determined. Then the biogas potential, along with the electricity production and the reduction of CO2 emissions, were calculated accordingly. In addition, the amount of biogas that can be produced in the TR83 region has been determined to be 151.8 M m3 per year from cattle, 6.3 M m3 per year from small cattle, and 12.9 M m3 per year from poultry. As a result, the optimal location for biogas plants based on supply chains were determined. Accordingly, the electricity potential that can be generated for the TR83 region has been determined as 49.25 MW. In addition, it has been found that approximately 19 times more carbon emissions will occur if electricity is obtained from natural gas, and approximately 34 times more emissions will be given off if it is obtained from imported coal. Ultimately, the resulting facility placement points were found to be Suluova, Çorum, Sungurlu, Bafra, Çarşamba, Vezirköprü, Erbaa, Tokat and Zile.

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Section: Introductionmentioning

confidence: 99%

Determination of the biogas potential of animal waste and plant location optimisation: A case study

Seyitoğlu

AVCIOĞLU

Haboğlu

2022

Intl J of Energy Research

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“…Hazelnut orchards are located in the northern latitudes at 36-41°, 30 km inland from the coastal regions, and in places not exceeding 0.75 -1 km in height. While in 33 cities, there are hazelnut-growing zones, only 16 are permitted for the processing of commercial hazelnuts (Şenol and Zenk, 2020). Turkey's annual hazelnut production is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Turkey's Hazelnut Export Quantities with Facebook's Prophet Algorithm and Box-Cox Transformation

Aytaç

2021

ADCAIJ

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Time series forecasting methods are used by an evolving field of data analytics for the prediction of market trends, sales, and demands. Turkey is the major producer of hazelnut in the world. If Turkey wants to continue its domination of hazelnut and protect the price-setting role, time series forecasting methods could be key factors accordingly. There are a few studies that focused on time series forecasting of hazelnut export quantities of Turkey, and this study uses a recently developed algorithm and implements a power transformation to increase the forecast accuracy. The presented research aims to forecast Turkey’s hazelnut export quantities for the coming 36-months starting from June 2020. The forecasting process was conducted with the help of Facebook’s Prophet algorithm. To improve the forecast accuracy, a Box-Cox power transformation was also implemented to process. To find out the stationarity and periodicity of the data set, the Augmented Dickey-Fuller test and autocorrelation function was applied to the time-series data. The Prophet algorithm, with Box-Cox transformation, projected the hazelnut export quantity could be over five hundred thousand tons from 07/2020 to 06/2023. The export quantities were in an increment trend, and the slope of the trend has increased since June 2008 by 0.66 % per month. The Prophet algorithm also revealed the seasonality of the data set, and the export amounts indicate monthly oscillations. The monthly export volumes start to increase and reach their peak value in October because August is the time for the harvest of hazelnuts in Turkey.

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The rural consumer adoption of sustainable energy: a PLS-SEM-ANN approach of conceptual model development and cross-country validation of Pakistan and Malaysia

Yin

Ahmed

Yong

et al. 2022

Environ Sci Pollut Res

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Sustainable and alternative energy sources of biofuel and solar power panel have been revolutionizing the lives and economy of many countries. However, these changes mainly occur in the urban areas and the rural population section has long been ignored by policy makers and government in the provision of energy. It is only recently that solar and biofuel are nally making in road to provide cheap and clean energy sources to rural population. As a result, literature on consumer behavior of rural population towards sustainable energy sources are still very scarce. The present research aims to ful l this gap by developing a conceptual model to investigate the adoption of solar power and biofuel energy resources in the cross-cultural setting of Malaysia and Pakistan. The data was collected from the rural areas of Pakistan and Malaysia. The two-stage data analysis method of partial least square structural equation modeling (PLS-SEM) and arti cial neural network (ANN) have been applied to satisfy both linear and nonlinear regression assumption respectively. The results show that consumer in rural areas of Pakistan are willing and possess intention to adopt both biofuel and solar power for commercial and domestic use. Additionally, the results con rm that Branding, Economic and Altruistic factors are important in yielding intention to use towards biofuel and solar power panel in Pakistan which are validated by the results obtained in Malaysia. Other factors such as climate change awareness, retailer services quality and ease of use are also important. The results offer wide ranging theoretical and managerial implications.

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Determination of the biogas potential in cities with hazelnut production and examination of potential energy savings in Turkey

Cited by 17 publications

References 28 publications

Determination of the biogas potential of animal waste and plant location optimisation: A case study

Determination of the biogas potential of animal waste and plant location optimisation: A case study

Forecasting Turkey's Hazelnut Export Quantities with Facebook's Prophet Algorithm and Box-Cox Transformation

The rural consumer adoption of sustainable energy: a PLS-SEM-ANN approach of conceptual model development and cross-country validation of Pakistan and Malaysia

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