The potential of sustainable biogas production from biomass waste for power generation in Pakistan

Yaqoob, Haseeb; Teoh, Yew Heng; Din, Zia Ud; Sabah, Noor Us; Jamil, Muhammad Ahmad; Mujtaba, M.A.; Abid, Asad

doi:10.1016/j.jclepro.2021.127250

Cited by 75 publications

(31 citation statements)

References 77 publications

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“…The scope of the review focused mainly on the analysis of poultry farming and poultry manure production with special references to quantity, properties (for example, fertilizer properties), seasonality, etc., but the authors did not conduct a complete analysis of the use of poultry manure. The paper [2] critically analyzes the potential of largely underutilized biomass waste resources for biogas production as a waste-to-energy conversion technology to overcome the energy crisis in Pakistan, the author analyzes the ecological energy system but does not mention bird droppings, which is sufficient, and as is known, bird droppings are one of the main resources for biogas production. The study [3] is aimed at studying the use of poultry and household waste for the production of biogas.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Utilization of poultry droppings in terms of non-waste technology

Hajiyev

Saidov

Mammadov

et al. 2022

EEJET

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The processing of poultry droppings under anaerobic conditions, in special hermetic reactors – methane tanks is considered to be the most promising technology in terms of efficiency in agrochemical, environmental, and energy fields. Organic fertilizer in the methane tank is in the form of concentrated liquid, purified from disease causatives and weed seeds. It is easily absorbed by fermented plant mass and contains macro and micronutrients, amino acids and phytohormones that stimulate the development of the plant. The rare utilization of such facilities is explained by the lack of funds for their purchase. On the other hand, it is assumed that biogas is not a dominant factor in terms of economic efficiency, and organic fertilizer is also important. In this respect, the utilization of poultry droppings has also gained practical relevance. The paper covers the discussion of the feasibility of utilizing poultry droppings as a non-waste technology. The methodological approach is based on the evaluation of more rational technological projects. In logical modeling, the rules drawn up by highly qualified specialists are used. The rules determine how to act in a certain situation. Such rules are considered favorable for non-skilled performers. The results of the studies have allowed analyzing the dynamics of nitrogen preservation depending on the utilization technology of poultry droppings and impact factors. Based on a mathematical model, a computer methodology for research on improving the energy efficiency of a poultry farm has been developed. The number of LEDs (α=200, I0=20 kd) for a 66×12 m poultry house using a computer program N=273 pcs., the number of LEDs (α=200, I0=20 kd) for a building with dimensions of 78×18 m N=259 pcs. The design parameters of the lamps are substantiated

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Utilization of poultry droppings in terms of non-waste technology

Hajiyev

Saidov

Mammadov

et al. 2022

EEJET

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“…Biogas waste is one of the best energy sources become an essential component for sustainability transition and concerning emissions and economy lavishly available in Pakistan, including kitchen waste, sugarcane bagasse, poultry waste, and animal manure. The total biogas production potential is 226.8 M m 3 d -1 in the country, while electricity generation is 59,536 GWh y-1 which is 49.4% of the total power production estimated for 2018 (Yaqoo et al, 2021). The satisfaction of the users regarding the biogas plant is paramount, especially in Pakistan.…”

Section: User Satisfaction and Biogas Plant-qualitymentioning

confidence: 99%

Modeling biogas technology adoption in Pakistan: A way forward for sustainable research of energy

Ali¹,

Qin²,

Elavarasan³

et al. 2021

Preprint

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The extensive need for energy has become a global issue due to the enormous population growth and demand for electricity-based products. Energy crises are rapidly increasing, which have destructive impacts on the industry in Pakistan. Biogas technology adoption is a challenge in a developing country like Pakistan. The government sector has taken initial steps to eliminate the energy crisis and promoted biogas plants. The primary objective of this study is to explore the satisfied and unsatisfied ratio of farmers who have adopted biogas plants in the country. The sample size was identified through the snowball sampling method. A total of 51 biogas adopters participated in this study. The structured questionnaires were used to collect data through online interviews. The results indicate that 34% of biogas plant respondents were satisfied with their plant feedback. The partially satisfied respondents were 24%, whereas 42% showed unsatisfaction. More than half (58%) of the respondents expressed that biogas plants are in good working conditions; however, 42% of biogas users were unrestrained for several causes. The findings of this study indicate that major maintenance and day-to-day operations of biogas plants are expensive due to lack of skilled operators, untrained or partially trained owners, and unavailability of technicians. The results suggest that the government needs to plan a clear policy, technical support with skilled technicians to biogas plant owners, all through an integrated and coherent way.

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“…Modeling gas turbines has many generalized aims, which represent the core objective of our research, such as control system orientations, performance monitoring, control, prediction, reducing emissions and grid code compliance. Furthermore, the trustable modeling of gas turbines or engines can lead to significant sustainable development in these generation systems in terms of using other fuels that are formed from other materials and waste, which can be fired in the same device or by a similar principle, such as biogas, leading to promising, sustainable and flexible power generation scenarios [6][7][8][9][10]. The topic of GT power generation modeling is apparently an interdisciplinary research field that can be deeply related to many disciplines during the research phase, but their research outcomes are extremely useful, so they are therefore released beyond the boundaries of every discipline alone.…”

Section: Introduction 1aims and Motivationsmentioning

confidence: 99%

Modeling a Practical Dual-Fuel Gas Turbine Power Generation System Using Dynamic Neural Network and Deep Learning

2022

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Accurate simulations of gas turbines’ dynamic performance are essential for improvements in their practical performance and advancements in sustainable energy production. This paper presents models with extremely accurate simulations for a real dual-fuel gas turbine using two state-of-the-art techniques of neural networks: the dynamic neural network and deep neural network. The dynamic neural network has been realized via a nonlinear autoregressive network with exogenous inputs (NARX) artificial neural network (ANN), and the deep neural network has been based on a convolutional neural network (CNN). The outputs selected for simulations are: the output power, the exhausted temperature and the turbine speed or system frequency, whereas the inputs are the natural gas (NG) control valve, the pilot gas control valve and the compressor variables. The data-sets have been prepared in three essential formats for the training and validation of the networks: normalized data, standardized data and SI units’ data. Rigorous effort has been carried out for wide-range trials regarding tweaking the network structures and hyper-parameters, which leads to highly satisfactory results for both models (overall, the minimum recorded MSE in the training of the MISO NARX was 6.2626 × 10−9 and the maximum MSE that was recorded for the MISO CNN was 2.9210 × 10−4, for more than 15 h of GT operation). The results have shown a comparable satisfactory performance for both dynamic NARX ANN and the CNN with a slight superiority of NARX. It can be newly argued that the dynamic ANN is better than the deep learning ANN for the time-based performance simulation of gas turbines (GTs).

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The potential of sustainable biogas production from biomass waste for power generation in Pakistan

Cited by 75 publications

References 77 publications

Utilization of poultry droppings in terms of non-waste technology

Utilization of poultry droppings in terms of non-waste technology

Modeling biogas technology adoption in Pakistan: A way forward for sustainable research of energy

Modeling a Practical Dual-Fuel Gas Turbine Power Generation System Using Dynamic Neural Network and Deep Learning

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