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Younes Noorollahi

Researcher at University of Tehran

Publications -  140
Citations -  4206

Younes Noorollahi is an academic researcher from University of Tehran. The author has contributed to research in topics: Renewable energy & Geothermal gradient. The author has an hindex of 31, co-authored 114 publications receiving 2634 citations. Previous affiliations of Younes Noorollahi include Kyushu University & Aalborg University.

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Energy hub: From a model to a concept – A review

TL;DR: The potentials of energy hub concept, as a comprehensive model of sustainable energy systems in the future are discussed in this paper, by identifying these challenges and introducing new options for use in energy hub models.
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Sustainable development using renewable energy technology

TL;DR: In this article, a review of the status of research within the exploitation of renewable energy sources with a focus on technologies exploiting renewable energies sources, a status of the assessment of the availability of renewable Energy sources and the status on the research into the types of systems, that can integrate renewable energy source.
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Multi-criteria decision support system for wind farm site selection using GIS

TL;DR: In this paper, the authors analyzed a multi-criteria decision support system to define wind energy resources in western Iran and found that 28% of the study area has capacity for installing large wind farms.
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Optimal management of energy hubs and smart energy hubs – A review

TL;DR: The potential role of energy hub as an integrated energy management system to solve the main challenges in these consumption sectors is evaluated and the benefits earned by integration of the options such as demand side management, distributed energy resources, renewableenergy resources, multi-generation systems, storage systems are focused on.
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Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)

TL;DR: In this paper, a mixed integer non-linear programming (MINLP) formulation is developed for the optimisation problem of a conventional gas-fired power generation company with its operation in combination with wind power and compressed air energy storage (CAES).