Feasibility study of cogeneration for a gas power plant

Taheri, None Mohammad Javad; Taheri, Pooya

doi:10.1109/epec.2017.8286154

Cited by 2 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The concept of NPV has widespread applications in economic feasibility analysis and optimal design of energy units [69]. A project with higher NPV is more profitable.…”

Section: Economic Analysismentioning

confidence: 99%

Techno-Economic Assessment for Installation of INVELOX Wind Turbines in Northern Iran

Taheri¹,

Taheri²

2021

Applied Engineering Letters

Self Cite

View full text Add to dashboard Cite

This paper aims to provide a comprehensive feasibility study for the installation of a 100 MW wind power plant using the INVELOX system in Manjil, Gilan, in Northern Iran. In the first part of the paper, we provide a review of the status of wind energy installation in Iran. We then review the mathematical equations involved in wind power calculations. Afterwards, with the environmental data gathered from the corresponding authorities and open-access sources, we analyzed the INVELOX system with its benefits and drawbacks. Then, based on the derived mathematical formulations, and using simulation software packages, the average wind power density is calculated, and the turbine system is designed accordingly. Finally, the economic profitability of this project was examined using a mathematical economic analysis and the COMFAR software package. In addition to the detailed feasibility study of this specific project, this article aims to provide a comprehensive literature review of the INVELOX system.

show abstract

“…The concept of NPV has widespread applications in economic feasibility analysis and optimal design of energy units [69]. A project with higher NPV is more profitable.…”

Section: Economic Analysismentioning

confidence: 99%

Techno-Economic Assessment for Installation of INVELOX Wind Turbines in Northern Iran

Taheri¹,

Taheri²

2021

Applied Engineering Letters

Self Cite

View full text Add to dashboard Cite

show abstract

A Time-Series Data Generation Method to Predict Remaining Useful Life

et al. 2021

View full text Add to dashboard Cite

Accurate predictions of remaining useful life (RUL) of equipment using machine learning (ML) or deep learning (DL) models that collect data until the equipment fails are crucial for maintenance scheduling. Because the data are unavailable until the equipment fails, collecting sufficient data to train a model without overfitting can be challenging. Here, we propose a method of generating time-series data for RUL models to resolve the problems posed by insufficient data. The proposed method converts every training time series into a sequence of alphabetical strings by symbolic aggregate approximation and identifies occurrence patterns in the converted sequences. The method then generates a new sequence and inversely transforms it to a new time series. Experiments with various RUL prediction datasets and ML/DL models verified that the proposed data-generation model can help avoid overfitting in RUL prediction model.

show abstract

Feasibility study of cogeneration for a gas power plant

Cited by 2 publications

References 20 publications

Techno-Economic Assessment for Installation of INVELOX Wind Turbines in Northern Iran

Techno-Economic Assessment for Installation of INVELOX Wind Turbines in Northern Iran

A Time-Series Data Generation Method to Predict Remaining Useful Life

Contact Info

Product

Resources

About