Investigating the hydropower plants production and profitability using system dynamics approach

Daneshgar, Sareh; Zahedi, Rahim

doi:10.1016/j.est.2021.103919

Cited by 42 publications

(23 citation statements)

References 29 publications

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“…The most important types of data is the data obtained from research information. VOS viewer software is one of the most important and widely used scientometrics software to summarize data and draw maps from research-related data [31] . This software, can draw coauthorship maps, co-authorship due to the dependence of countries and organizations, citation maps, and bibliographic pairs.…”

Section: Methodsmentioning

confidence: 99%

Machine Learning Theory in Building Energy Modeling and Optimization: A Bibliometric Analysis

2022

J Mod Green Energy

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In recent decades, the machine learning theory has been developed in the field of artificial intelligence (AI), as it excludes all shortcomings of manpower, performs complex calculations without rest, and provides prediction benefits for projects. Machine learning models and algorithms extract natural models from the data set, which offers increased problem insight, better decisions, and more accurate predictions. Machine learning has a variety of methods, including supervised, unsupervised, and reinforcement learning, and has been used for building energy modeling in recent years. In this review paper, machine learning in building energy modeling was examined to demonstrate the publications in this area and the relationship between these topics. This paper investigated machine learning methods for building energy modeling using bibliometric analysis and data mining. Therefore, the objective of this research was to give insight into the status of machine learning uses for energy systems in the construction industry. Scientometric software was used for analysis. Deep learning is also a cutting-edge topic of machine learning in 2018 onwards, so a brief explanation in this research was provided to explore a proper connection between machine learning, deep learning, and construction energy modeling.

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Section: Methodsmentioning

confidence: 99%

Machine Learning Theory in Building Energy Modeling and Optimization: A Bibliometric Analysis

2022

J Mod Green Energy

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“…Restrictions on fossil fuels and environmental issues have led countries around the world to use clean energy instead of polluting energy to supply energy in the future [36]. The growing trend of marine technologies has led to more attention being paid to the very valuable role of seas and oceans in producing energy.…”

Section: Hydropowermentioning

confidence: 99%

Strategic Study for Renewable Energy Policy, Optimizations and Sustainability in Iran

Zahedi

Ahmadi

2022

Sustainability

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The present article includes studies on the importance of addressing strategic issues in the field of general policies adopted and strategies for the development of renewable energy in Iran. Considering that energy is one of the determining indicators in economic development and the development and optimization of renewable energy can play an effective role in economic growth and protection of environmental conditions, this article tries to introduce the types of renewable energy and general principles. They point to the policies that ultimately determine the priority and necessity of using some of them for the country and explain why and how to use them. The general principles discussed in this article include the advantages, disadvantages, potentials, and, most importantly, comparative comparisons with two neighboring countries. The results of these studies show that despite Iran’s diverse potentials in the field of renewable energy, wind energy has a higher priority than other cases in terms of economic justification and market competition, and domestic production rates. Other renewable energy sources for power generation and grid connection are less of a priority for short- or medium-term investment. However, for non-grid use in the country, they can also be very useful in the short term. In general, Iran can be a hub for renewable energy.

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“…These elements represent the part of producing goods i th and j th, respectively, used in producing goods i th. A CES function in Equation () represents the production function y 35

{y}_{i}={\left[\sum ({\alpha }_{{ji}}{X}_{{ji}}^{\rho i}+{\alpha }_{{vi}}{V}_{i}^{\rho i})\right]}^{\frac{1}{\rho i}}{ij}\in \{\mathrm{EC},N\}.

…”

Section: Model Descriptionmentioning

confidence: 99%

Evaluation of research and development subsidies and fossil energy tax for sustainable development using computable general equilibrium model

Moosavian

Borzuei

Zahedi

et al. 2022

Energy Science & Engineering

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Policy‐making in improving the quality of the environment and social welfare and increasing the rate of economic growth to achieve sustainable development has been considered by policymakers in recent years. Punitive policies such as taxes on fossil energy consumption and incentive policies such as subsidies for investment in research and development are among the policies used to achieve sustainable development goals. In this study, using a computable general equilibrium model, two scenarios of subsidy to investment in research and development and subsidy with the taxation of fossil fuels, to double the ratio of investment in research and development GDP have been considered. First, the subsidy rate required to invest in research and development to achieve this goal is determined, and then, the economic, welfare, and environmental effects of the policies implemented are examined. This study shows that in the first scenario, the subsidy rate required to invest in research and development to achieve this goal is 10.74% and in the second scenario is 10.21%. Meanwhile, the required tax rate in the second scenario is estimated at 2.5% of fossil energy consumption. The results show that both the fossil energy tax policy and the research and development subsidy policy are able to reduce energy consumption, air pollution, and social welfare. The reduction in welfare in both scenarios is regardless of the social benefits of reducing greenhouse gas emissions.

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Investigating the hydropower plants production and profitability using system dynamics approach

Cited by 42 publications

References 29 publications

Machine Learning Theory in Building Energy Modeling and Optimization: A Bibliometric Analysis

Machine Learning Theory in Building Energy Modeling and Optimization: A Bibliometric Analysis

Strategic Study for Renewable Energy Policy, Optimizations and Sustainability in Iran

Evaluation of research and development subsidies and fossil energy tax for sustainable development using computable general equilibrium model

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