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Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks
, Article Renewable Energy ; Volume 172 , 2021 , Pages 789-801 ; 09601481 (ISSN) ; Mazaheri, H ; Ranjbar, H ; Moeini Aghtaie, M ; Lehtonen, M ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Million miles of gravity-fed drinking water and sewage pipelines around the world, especially in rural and urban areas in mountain ranges, have introduced a new renewable energy sources (RES), i.e., in-pipe hydropower systems (IHS). Output power of this technology, similar to other types of RES, suffers from intermittency, while it is still more predictable in comparison to other technologies of RESs. Besides, energy storage systems (ESS) are introduced as a pivotal technology for dealing with the intermittent and non-dispatchable characteristics of IHS through spatio-temporal arbitrage. This paper aims to develop a stochastic mixed-integer linear programming (MILP) formulation that...
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
Abstract
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...
The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries
, Article Technological Forecasting and Social Change ; Volume 146 , 2019 , Pages 450-463 ; 00401625 (ISSN) ; Saboohi, Y ; Arasti, M ; Sharif University of Technology
Elsevier Inc
2019
Abstract
Energy innovation is a key requirement to limit global warming and tackle climate change in the years to come. A better understanding of the public R&D mechanism is likely to improve allocation of resources for energy innovation. Thus, the present paper evaluates the impacts of public R&D and knowledge spillovers on the development of renewable energy sources. To achieve this goal, knowledge flow has been modeled as a function of public R&D expenditures, cumulative knowledge stocks and knowledge spillovers. To show the application of the model, the Nordic countries as one of the pioneers in renewable technologies have been chosen. Results show the cumulative knowledge stock will increase to...
Stochastic capacity expansion planning of remote microgrids with wind farms and energy storage
, Article IEEE Transactions on Sustainable Energy ; Volume 6, Issue 2 , February , 2015 , Pages 491-498 ; 19493029 (ISSN) ; Bozorg, M ; Fotuhi Firuzabad, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
A majority of remote power systems are going to be supplied by diesel-renewable resources such as wind and photovoltaic energy in the future. However, the unpredictable nature of wind generation increases the concern about the reliable operation of these isolated microgrids. Using energy storage systems (ESSs) is recently accepted as an efficient solution to the volatility and intermittency of renewable energy sources. In this paper, a stochastic programming based on the Monte Carlo approach is introduced for optimal planning of remote systems. So far, most literatures have focused exclusively on the energy storage initial sizing. However, capacity expansion of ESS through the time span can...
Solar-hydrogen renewable supply system optimisation based on demand side management
, Article International Journal of Ambient Energy ; 2019 ; 01430750 (ISSN) ; Jafarinejad, T ; Badpar, F ; Sharif University of Technology
Taylor and Francis Ltd
2019
Abstract
Stand-alone hybrid power systems are an alternative to main electricity grids, where the grid extension is costly or the trifling local consumption would not justify its expansion. However, lack of consistency and uniformity in renewable energy sources, and the restrictions of energy storage systems make system sizing a challenging task. Optimum size of a stand-alone system depends on several factors including energy demand function. In this paper, different types of demand functions are addressed for optimising a solar-hydrogen supply system. Different parameters are defined to investigate the impact of household population on the power generation cost, and also to determine the optimum...
Solar-hydrogen renewable supply system optimisation based on demand side management
, Article International Journal of Ambient Energy ; 2019 ; 01430750 (ISSN) ; Jafarinejad, T ; Badpar, F ; Sharif University of Technology
Taylor and Francis Ltd
2019
Abstract
Stand-alone hybrid power systems are an alternative to main electricity grids, where the grid extension is costly or the trifling local consumption would not justify its expansion. However, lack of consistency and uniformity in renewable energy sources, and the restrictions of energy storage systems make system sizing a challenging task. Optimum size of a stand-alone system depends on several factors including energy demand function. In this paper, different types of demand functions are addressed for optimising a solar-hydrogen supply system. Different parameters are defined to investigate the impact of household population on the power generation cost, and also to determine the optimum...
Solar-hydrogen renewable supply system optimisation based on demand side management
, Article International Journal of Ambient Energy ; Volume 43, Issue 1 , 2022 , Pages 754-763 ; 01430750 (ISSN) ; Jafarinejad, T ; Badpar, F ; Sharif University of Technology
Taylor and Francis Ltd
2022
Abstract
Stand-alone hybrid power systems are an alternative to main electricity grids, where the grid extension is costly or the trifling local consumption would not justify its expansion. However, lack of consistency and uniformity in renewable energy sources, and the restrictions of energy storage systems make system sizing a challenging task. Optimum size of a stand-alone system depends on several factors including energy demand function. In this paper, different types of demand functions are addressed for optimising a solar-hydrogen supply system. Different parameters are defined to investigate the impact of household population on the power generation cost, and also to determine the optimum...
Robust energy management of residential energy hubs integrated with power-to-x technology
, Article 2021 IEEE Texas Power and Energy Conference, TPEC 2021, 2 February 2021 through 5 February 2021 ; 2021 ; 9781728186122 (ISBN) ; Khoshjahan, M ; Saravi, V. S ; Kalantar, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Growing interest in the intermittent renewable energy sources may jeopardize the flexibility of power systems. In order to improve the flexibility of modern power systems, the surplus electricity generated by renewable sources can be deployed into several carriers, such as natural gas and heating energy via power-to-gas (PtG) and power-to-heat (PtH) technologies. This paper proposes an optimal daily energy management model of residential energy hubs integrated with power-to-X technologies. The proposed energy hub is incorporated with PtG, PtH, combined heat and power (CHP) facilities, and thermal storage to meet the required electrical, gas, and heating demands. In order to capture the...
Robust coordinated distribution system planning considering transactive DSO's market
, Article IEEE Transactions on Power Systems ; 2022 , Pages 1-11 ; 08858950 (ISSN) ; Fotuhi Firuzabad, M ; Shahidehpour, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
In this paper, a robust distribution system expansion planning (DSP) approach is presented to supply the load growth locally and move toward nearly zero energy local distribution areas (LDAs). In the proposed approach, a distribution system operator (DSO) is responsible for secure and optimum operation of LDAs. Therefore, investors on distribution system upgrades use this approach to maximize the profit on investments by determining the installation year of new distribution feeders and energy resources, distributed energy resource (DER) placements and sizes considered by corresponding DSOs. The accurate AC power flow solution is used and mathematical methods are developed to model the DSP as...
Reliability Studies of Modern Distribution Systems Integrated With Renewable Generation and Parking Lots
, Article IEEE Transactions on Sustainable Energy ; Volume PP, Issue 99 , 2016 ; 19493029 (ISSN) ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
Abstract
This paper investigates the role of parking lots in improving the reliability of renewable-based distribution systems, through provision of vehicle-to-grid (V2G) programs during outage events. In this regard, municipal parking decks are viewed as distributed energy storage systems and the amount of available energy from these units in random contingency events is probabilistically modeled for reliability studies. Appropriate stochastic models are also introduced to capture the volatility and intermittency of renewable sources. Moreover, it is discussed that how the adopted outage management scheme (OMS) in contingency events can affect the reliability level of customers. In response, several...
Reliability studies of modern distribution systems integrated with renewable generation and parking lots
, Article IEEE Transactions on Sustainable Energy ; Volume 8, Issue 1 , 2017 , Pages 431-440 ; 19493029 (ISSN) ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2017
Abstract
This paper investigates the role of parking lots in improving the reliability of renewable-based distribution systems, through provision of vehicle-to-grid (V2G) programs during outage events. In this regard, municipal parking decks are viewed as distributed energy storage systems and the amount of available energy from these units in random contingency events is probabilistically modeled for reliability studies. Appropriate stochastic models are also introduced to capture the volatility and intermittency of renewable sources. Moreover, it is discussed that how the adopted outage management scheme (OMS) in contingency events can affect the reliability level of customers. In response, several...
PROWL: A Cache replacement policy for consistency aware renewable powered devices
, Article IEEE Transactions on Emerging Topics in Computing ; 2020 ; Abbasinia, M ; Ejlali, A ; Sharif University of Technology
IEEE Computer Society
2020
Abstract
Energy harvesting systems powered by renewable energy sources employ hybrid volatile-nonvolatile memory to enhance energy efficiency and forward progress. These systems have unreliable power sources and energy buffers with limited capacity, so they complete long-running applications across multiple power outages. However, a power outage might cause data inconsistency, because the data in nonvolatile memories are persistent, while the data in volatile memories are unsteady. State of the art studies proposed various memory architectures and compiler-based techniques to tackle the data inconsistency in these systems. These approaches impose too many unnecessary check-points on the system to...
PROWL: A cache replacement policy for consistency aware renewable powered devices
, Article IEEE Transactions on Emerging Topics in Computing ; Volume 10, Issue 1 , 2022 , Pages 476-487 ; 21686750 (ISSN) ; Abbasinia, M ; Ejlali, A ; Sharif University of Technology
IEEE Computer Society
2022
Abstract
Energy harvesting systems powered by renewable energy sources employ hybrid volatile-nonvolatile memory to enhance energy efficiency and forward progress. These systems have unreliable power sources and energy buffers with limited capacity, so they complete long-running applications across multiple power outages. However, a power outage might cause data inconsistency, because the data in nonvolatile memories are persistent, while the data in volatile memories are unsteady. State of the art studies proposed various memory architectures and compiler-based techniques to tackle the data inconsistency in these systems. These approaches impose too many unnecessary check-points on the system to...
Prioritization of potential locations for harnessing wind energy to produce hydrogen in Afghanistan
, Article International Journal of Hydrogen Energy ; Volume 45, Issue 58 , November , 2020 , Pages 33169-33184 ; Hosseini Dehshiri, S. J ; Hosseini Dehshiri, S. S ; Jahangiri, M ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Due to the devastating ecological effects and constrained reserves of fossil fuels, renewable energies are now globally accepted as viable alternative sources of energy. Among renewable energy sources, wind energy has become globally popular, primarily because wind farms can be rapidly built and easily maintained at a relatively low cost. Wind-powered hydrogen production is an effective solution for storing the excess energy output of wind farms. The hydrogen produced in this way can be used not only in fuel cells but also in cooling, oil, gas, and petrochemical fields. As a country devastated by war and instability, Afghanistan has major energy generation challenges and a substantially...
Pricing of Vehicle-to-Grid Services in a Microgrid by Nash Bargaining Theory
, Article Mathematical Problems in Engineering ; Volume 2017 , 2017 ; 1024123X (ISSN) ; Ehsan, M ; Sharif University of Technology
Hindawi Publishing Corporation
2017
Abstract
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...
Optimal operation of a virtual power plant in frequency constrained electricity market
, Article IET Generation, Transmission and Distribution ; Volume 13, Issue 11 , 2019 , Pages 2015-2023 ; 17518687 (ISSN) ; Rayati, M ; Ranjbar, A. M ; Sharif University of Technology
Institution of Engineering and Technology
2019
Abstract
In this study, optimal offering strategy problem of a virtual power plant (VPP) as a price-maker player in day-ahead frequency constrained electricity market is presented. The optimal offering strategy problem is modelled as a bi-level optimisation problem. In the upper-level problem, the total profit of VPP is maximised. In the lower-level problem, the clearing conditions of frequency constrained electricity market are modelled. The proposed bi-level optimisation problem is reformulated as a mathematical programming with equilibrium constraints (MPEC) problem by using Karush-Kuhn-Tucker conditions. Then, the proposed MPEC problem, which is non-linear and hard to solve by commercial solvers,...
Optimal generalized bayesian nash equilibrium of frequency-constrained electricity market in the presence of renewable energy sources
, Article IEEE Transactions on Sustainable Energy ; Volume 11, Issue 1 , 2020 , Pages 136-144 ; Toulabi, M ; Ranjbar, A. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2020
Abstract
In this paper, the problem of frequency-constrained electricity market (FCEM) is modeled in the presence of renewable energy sources (RESs) and price-maker players by using equilibrium problem with equilibrium constraints formulation. It is worth mentioning that due to the intermittency of RESs, the FCEM problem in the presence of price-maker players becomes more imperative as stability of power system frequency is a public good and the free-rider problem arises. Moreover, as players of FCEM do not know their rivals' objective functions, the problem is modeled based on Bayesian game theory. The FCEM problem is converted into a game of complete but imperfect information under the common prior...
Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions
, Article Energy ; Volume 91 , 2015 , Pages 882-893 ; 03605442 (ISSN) ; Shafiei, E ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
In this paper, special focus is paid to the long-term adoption of renewable electricity technologies and their implications for emissions reductions in Iran. MESSAGE, as a bottom-up energy supply optimization model, is used to assess the lowest-cost technology options. The potential impacts of transitioning to a renewable electricity supply are quantified, and the investment requirement to achieve a low-carbon generation mix is estimated. Alternative scenarios are defined to evaluate the impact of fossil fuel prices, the carbon tax and government incentives on the utilization of renewable resources, national renewable targets, and emissions reductions. The prioritization of non-hydro...
Multi-objective optimization of direct coupling photovoltaic-electrolyzer systems using imperialist competitive algorithm
, Article ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) ; Vol. 6A , November , 2014 ; Sayedin, F ; Sattari, S ; Sharif University of Technology
Abstract
Photovoltaic-electrolyzer systems are one of the most promising alternatives for obtaining hydrogen from a renewable energy source. Determining size and the operational conditions are always a key issue while coupling directly renewable electricity sources to PEM electrolyzer. In this research, the multi objective optimization approach based on an imperialist competitive algorithm (ICA), which is employed to optimize the size and the operating conditions of a directly coupled photovoltaic (PV)-PEM electrolyzer. This allows the optimization of the system by considering two different objectives, including, minimization of energy transfer loss and maximization of hydrogen generation. Multi...
Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran
, Article Energy ; Volume 161 , 2018 , Pages 493-507 ; 03605442 (ISSN) ; Aryanpur, V ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
This paper aims to analyze Iran's long-term power sector development from economic, environmental, social, and sustainable perspectives. For this purpose, a linear programming model is developed, which includes three objective functions: minimization of costs, minimization of CO2 emissions, and maximization of created jobs. To provide a sustainable plan, analytical hierarchy process is employed to allocate expert-based weights to the objective functions. Moreover, to support the decision-makers, Pareto-optimal alternatives are explored by varying the weights of objectives. The multi-objective model is solved by applying a weighted method based on fuzzy membership functions. The results show...