Search for: renewable-energies
Total 310 records
Article Entrepreneurship and Sustainability Issues ; Volume 7, Issue 3 , March , 2020 , Pages 2526-2541 ; Kashan, M. K ; Maleki, A ; Jafari, N ; Hashemi, H ; Sharif University of Technology
Entrepreneurship and Sustainability Center 2020
Typically, the lack of effective stakeholder participation in a project—especially in the initial planning and implementation stages—has a negative impact on the expected performance of the project. These negative consequences require attempts to encourage their effective participation. Nevertheless, there are some challenges ahead, such as conflict of interest among the stakeholders. For more accurate identification of the interests, objectives, and performance of the stakeholders, this paper proposes an accurate and organized model for the analysis of results from the stakeholder impact index. We implemented the proposed model to determine the existing barriers to renewable energy...
Article Sustainability (Switzerland) ; Volume 12, Issue 24 , 2020 , Pages 1-28 ; Mahdavi, O ; Sharif University of Technology
MDPI AG 2020
Nowadays, fossil fuels are well known as a predominant source of energy in the planet. Located in the Middle East region, Iran holds one of the largest fossil fuel reservoirs in the world. The country has abundant oil and natural gas fields in various regions; some of them are shared between other countries and have not reached their operational capacity yet. Meanwhile, during recent years and due to global warming followed by environmental global contracts such as Kyoto protocol, using fossil fuels is being criticized to a large extent around the world. Therefore, the global interest has been focused toward clean energy resources. Furthermore, endowed with sundry geographical pattern...
Article Environment, Development and Sustainability ; 2022 ; 1387585X (ISSN) ; Kargar, B ; Gharehbaghi, A ; Afshar, M ; Rajabi, M. S ; Mardani, N ; Sharif University of Technology
Springer Science and Business Media B.V 2022
Using Renewable Energy (RE) is growing day by day. We need to locate RE in the best place to maximize energy production and supplier profit. As a result, we propose a novel method for RE location (REL). This model suggests a Data-Driven Robust Optimization (DDRO) for multi-objective REL by considering Risk (DDROMORELR). We consider risk by adding min function in energy and profit objectives (government and supplier objectives). A DDRO approach is added to the model to tackle uncertainty and be close to the real world. We utilize an improved Augmented ε-constraint (AUGEPS2) to solve objectives and produce a Pareto front. We compare problems with DDRO and without considering DDRO, and the...
Article Environmental Science and Pollution Research ; 2022 ; 09441344 (ISSN) ; Hosseini Dehshiri, S. J ; Hosseini Dehshiri, S. S ; Hoa, A. X ; Arockia Dhanraj, J ; Mostafaeipour, A ; Issakhov, A ; Techato, K ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH 2022
With the advent of new technologies and globalization of business, supply chains have turned into indispensable tools for gaining competitive advantage. The application of new technologies like blockchain can benefit sustainable energy supply chains by improving chain and logistics operations in the areas of trust, transparency and accountability, cooperation, information sharing, financial exchanges, and supply chain integration. However, the efforts to adopt such technologies in supply chains tend to face many challenges and challenges, which can seriously threaten their success. Therefore, it is crucial to carefully examine the challenges to blockchain technology application. This...
Article Renewable Energy ; Volume 189 , 2022 , Pages 618-629 ; 09601481 (ISSN) ; Kazemi, M ; Amjady, N ; Zareipour, H ; Hosseini, S. H ; Sharif University of Technology
Elsevier Ltd 2022
This paper presents a new model to maximize the utilization of existing transmission system infrastructure by optimally sizing and siting the future developments of variable renewable energy sources (VRES). The model tries to maximize the integration of VRES in power systems with minimum expected energy curtailment without relying on new investments in the transmission systems. The proposed model is formulated as a linear stochastic programming optimization problem where VRES output scenarios are generated such that their spatio-temporal correlations are maintained. The Progressive Hedging Algorithm (PHA) with bundled scenarios is utilized to solve the proposed model for large-scale cases....
Optimal planning of hybrid renewable energy infrastructure for urban sustainability: Green Vancouver, Article Renewable and Sustainable Energy Reviews ; Volume 95 , 2018 , Pages 254-264 ; 13640321 (ISSN) ; Shirzadi, N ; Bazdar, E ; Kennedy, C. A ; Sharif University of Technology
Elsevier Ltd 2018
Despite the great promise of hybrid solar-wind-biomass energy systems to power future sustainable cities, complexities associated with their optimal planning and design limit their wide-scale implementation. This study provides a novel systematic framework to identify optimal hybrid renewable solutions for urban areas at neighborhood scales. In particular, we examine the role of economies of scale in the techno-economic feasibility and environmental performance of hybrid renewable systems. For demonstration, we assess the impact of the economics of scale (at the neighborhood scales of 1/500, 1/250, and 1/100 of the city's electrical load) on the life-cycle costs of optimal hybrid renewable...
Article 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019, 29 September 2019 through 2 October 2019 ; 2019 ; 9781538682180 (ISBN) ; Tavakkoli, M ; Abbaspour, A ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2019
Increasing rate of renewable energy sources (RESs) integration in the distribution system and development of multi-microgrids (MMG) structures have changed the operational condition of power grids. In this context, the stochastic and intermittent nature of the RESs has increased the need for ramp up power to balance the supply and demand when electricity generation of these resources drops. Moreover, bulk power generation units, which conventionally have the possibility to provide flexibility ramp, would face lack of financial justification for expansion and operation in a system with high rate penetration of RESs. Therefore, distribution system operators (DSOs) should rely on local...
Article IEEE Systems Journal ; Vol. 6, issue. 1 , 2012 , p. 35-45 ; ISSN: 19328184 ; Fotuhi-Firuzabad, M ; Sharif University of Technology
Renewable energy resources, notably wind power, are expected to provide considerable portion of the world energy requirements in the near future. Many system operators around the world are challenged by the problems associated with integrating these intermittent resources into the grid. As one of the potential solutions, demand response (DR) is expected to play a major role for mitigating integration issues of intermittent renewable energy resources. In this context, this paper proposes a DR program which helps to integrate wind power by reshaping the load of the system. The DR program provides a framework to procure load reduction from DR resources in the wholesale energy market. The...
Article Mathematical Problems in Engineering ; Volume 2017 , 2017 ; 1024123X (ISSN) ; Ehsan, M ; Sharif University of Technology
Hindawi Publishing Corporation 2017
Owners of electric vehicles (EVs) can offer the storage capacity of their batteries to the operator of a microgrid as a service called vehicle-to-grid (V2G) to hold the balance between supply and demand of electricity, particularly when the microgrid has intermittent renewable energy sources. Literature review implies that V2G has economic benefits for both microgrid operator and EV owners, but it is unclear how these benefits are divided between them. The challenge grows when the policy makers rely on the V2G revenue as an incentive for expanding the penetration of EVs in the automotive market. This paper models the interaction between microgrid operator and EV owners as a bargaining game...
Article IEEE Transactions on Power Systems ; Volume 34, Issue 5 , 2019 , Pages 3954-3956 ; 08858950 (ISSN) ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2019
Efficient operation of electricity markets necessitates a penalty mechanism to penalize market participants who do not fulfill their market obligations. However, the traditional penalty mechanisms that have been successfully implemented in wholesale electricity markets may result in unintended consequences in transactive markets where the participants have uncertain supply or demand. In this regard, this letter investigates main challenges of applying traditional penalty mechanisms in transactive energy markets. Some efficient strategies are also proposed to operate the transactive markets in such a way that guarantees its security as well as liquidity. © 1969-2012 IEEE
Assessment of an optimized combination of Iranian power plants by environmental costs impact of carbon tax and fossil fuel price on longterm development of iranian electricity supply system, Article Journal of Environmental Studies ; Vol. 40, issue. 2 , 2014 , p. 415-430 ; Farmad, M ; Aryanpur, V ; Shafiei, E ; Sharif University of Technology
Despite the abundant renewable energy sources, the Iranian energy sector relies almost entirely on fossil fuel energy resources. Power sector is dominant source of CO2 emissions and responsible for about 35% of total CO2 emissions in the country. Additionally, long-term electricity demand of Iran is expected to grow quickly, which in turn requires extensive investment to meet the growing demand over the next decades. On the other hand, increasing domestic fossil fuel consumption had been a serious challenge due to high costs of oil and gas. Current study pays particular attention to the possible penetration rates of renewable electricity technologies and their implications for fossil fuel...
Multi objective receding horizon optimization for optimal scheduling of hybrid renewable energy system, Article Energy and Buildings ; Volume 150 , 2017 , Pages 583-597 ; 03787788 (ISSN) ; Roshandel, R ; Sharif University of Technology
In this paper, a methodology for energy management system (EMS) based on the multi-objective receding horizon optimization (MO-RHO) is presented to find the optimal scheduling of hybrid renewable energy system (HRES). The proposed HRES which is experimentally installed in educational building comprising the PV panels, wind turbine, battery bank and diesel generator as the backup system. The data acquisition system provides input profiles for receding horizon optimizer. A mixed-integer convex programing technique is used to achieve the optimal operation regarding to two conflicting operation objectives including diesel fuel cost and battery wear cost. The Pareto frontiers are presented to...
Article International Journal of Renewable Energy Research ; Volume 7, Issue 3 , 2017 , Pages 1426-1435 ; 13090127 (ISSN) ; Mozafari, B ; Ranjbar, A. M ; Soleymani, S ; Sharif University of Technology
International Journal of Renewable Energy Research 2017
The complex structure of the power system and the pivotal role of electrical energy in determining the socio-economic indicators of any countries lead the policy makers of power industry to take into account the expansion planning of generation system with high priority. Considering the intense fluctuations of costs in electrical energy generation (particularly due to variation of fuel prices within the recent years in the Middle East), finding an optimal generation portfolio, regardless of the costs variations risk looks impossible. The portfolio theory, as an efficient tool for risk management, provides a proper solution to materialize the optimal generation portfolios with the following...
A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems, Article Journal of Energy Storage ; Volume 17 , 2018 , Pages 93-101 ; 2352152X (ISSN) ; Dufo Lopez, R ; Roshandel, R ; Golzar, F ; Bernal Agustin, J. L ; Sharif University of Technology
Elsevier Ltd 2018
In this paper we introduce a Simplified Single Particle Model (SSPM), which is obtained from the general mathematical formulation of Li-ion batteries. The model is validated by using different commercial graphite/LiFePO4 cells, and results show agreement with more complicated models and experimental data for low operating currents of less than 1C. A maximum relative error of less than 2% can be observed to estimate cell voltage in the plateau region of the charge/discharge curves. Therefore, the proposed model is suitable in the case of stand-alone renewable energy systems, where battery current is typically lower than C/10. By increasing the current, the SSPM deviates from more accurate...
Assessing financial and flexibility incentives for integrating wind energy in the grid via agent-based modeling, Article Energies ; Volume 12, Issue 22 , 2019 ; 19961073 (ISSN) ; Baetens, J ; Lotfi, S ; Vandevelde, L ; Van Eetvelde, G ; Sharif University of Technology
MDPI AG 2019
This article provides an agent-based model of a hypothetical standalone electricity network to identify how the feed-in tariffs and the installed capacity of wind power, calculated in percentage of total system demand, affect the electricity consumption from renewables. It includes the mechanism of electricity pricing on the Day Ahead Market (DAM) and the Imbalance Market (IM). The extra production volumes of Electricity from Renewable Energy Sources (RES-E) and the flexibility of electrical consumption of industries is provided as reserves on the IM. Five thousand simulations were run by using the agent-based model to gather data that were then fit in linear regression models. This helped...
Toward small scale renewable energy hub-based hybrid fuel stations: appraising structure and scheduling, Article IEEE Transactions on Transportation Electrification ; Volume 6, Issue 1 , 2020 , Pages 267-277 ; Alahyari, A ; Farrokhifar, M ; Momeni, H ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2020
In recent years, there has been a rapid change in the portfolio of road vehicles. This transformation needs to be supported by reshaping fuel stations. The existing structures can be modified to supply multiple vehicle types while utilizing renewable energies. In this article, we introduce a hybrid fuel station (HFS) to supply both electric and natural gas vehicles. We incorporate an energy hub and thoroughly explain the structure and components in detail. The configuration of the proposed HFS includes renewable energy sources (RESs), a power-to-gas unit (P2G), a natural gas distributed generator (NGDG), an energy storage device, a compressor, and a gas storage device. The optimal operation...
Optimal design of renewable integrated heat and electricity supply systems with genetic algorithm: household application in Iran, Article International Journal of Environmental Science and Technology ; Volume 17, Issue 4 , 2020 , Pages 2185-2196 ; Saboohi, Y ; Sharif University of Technology
The objective of the present study is the development of an optimization model for identifying the best configuration of renewable-based integrated energy systems. The system includes a combination of renewable energy systems such as wind, solar, hydropower and hydrogen production, storage facilities and conventional fossil-fuel generators. The developed tool consists of various modules where water heating assumes the utilization of waste energy as an option. Furthermore, the application, which is demonstrated for a case study in Tehran, has been considered. The power exchange with the distribution network and injection of hydrogen produced from excess renewable sources into gas network are...
Article IEEE Systems Journal ; Volume 16, Issue 3 , 2022 , Pages 5011-5022 ; 19328184 (ISSN) ; Abbaspour, A ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2022
The increasing integration of renewable energy resources (RERs) and the expansion of multi-microgrid systems have transformed the operational condition of power systems. Respectively, the high-amount installation of RERs could result in the volatile changes exchanged-power of local systems, when their power generation drops suddenly. Nevertheless, the available ramp-up power for compensating the supply-demand gap in the power system could be limited due to the operational constraints of power networks and generation units. As a result, in this article, a transactive flexible-ramp-up-management-mechanism is offered in order to enable system operators to exploit the scheduling of microgrid...
M.Sc. Thesis Sharif University of Technology ; Tabeshpour, Mohammad Reza
Offshore wind energy is widely recognized as a renewable energy source that has the potential as a global energy source. Although the use of coastal wind turbines has been successful, it has been challenged in terms of visual, acoustic and environmental impacts. In addition, in terms of technology, it is difficult to achieve high levels of energy from coastal wind resources due to low annual average speed; Therefore, the wind energy industry is trying to make more use of the deep-water wind resources. However, before developing these types of deep-water turbines, economic challenges and technical problems must be resolved. Mooring failure is one of the major issues in the design of offshore...
System modeling and optimization for islanded micro-grid using multi-cross learning-based chaotic differential evolution algorithm, Article International Journal of Electrical Power and Energy Systems ; Vol. 56 , 2014 , pp. 349-360 ; ISSN: 01420615 ; Amjady, N ; Ehsan, M ; Sharif University of Technology
This paper presents a comprehensive operation model for micro-grids (MG) operating in the islanded mode. Various energy sources of a MG including diesel engine generator, micro-turbine, wind turbine and photovoltaic cell as well as battery storage and AC/DC rectifier/inverter are modeled in the proposed framework. Fuel costs, emission costs, and operation and maintenance (O&M) costs of these sources as well as their operating limits and characteristics are considered in the model. Furthermore, a new multi-cross learning-based chaotic differential evolution (MLCDE) algorithm is presented to solve the optimization problem of MG operation. The numerical results obtained from the proposed...