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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Journal of Renewable Energy and Environment
- نوع مقاله: Journal Article
- کلمات کلیدی: Prediction Model,Greenhouse gases,Renewable energy,Electricity consumption,Carbon tax
- چکیده:
- چکیده انگلیسی: Climate change refers to any significant and long-term alterations in global or regional weather conditions. The impact of climate change on the industrial plans is enormous, while the water supply sector has been challenged to examine how it could continuously operate in the current situation. Optimization of energy consumption and reduction of Greenhouse Gases (GHG) emissions are some of the priorities of water companies. The objective of the study is to propose a novel evaluation approach to the feasibility of using renewable energies (solar, wind, and biomass) in the water and wastewater industry. Tehran Water and Wastewater Company consists of six regional districts and forecasting of its energy consumption, power costs, and carbon tax rates for the next ten years was done by using the regression model. The results indicated that increase in water supply and electricity consumption was evidenced by the increase in Tehran's annual population. GHG emissions were calculated in two scenarios, the first of which is based on the total supply of required electricity from conventional power plants and the second is on the generation of approximately one-third by renewable energies. In addition to the higher emissions of carbon dioxide (CO2) from diesel and oil power plants than the natural gas-fueled plants, by increasing the carbon tax to more than 30 USD per tonne of CO2, it is expected that the emissions will be reduced by 30 % in all fossil-fueled power plant types. Results showed that a small amount of tax was not effective in reducing GHG emissions.
- انتشار مقاله: 24-01-1399
- نویسندگان: Ensieh Ozgoli,Younes Noorollahi,Reza Arjmandi,Ali Mohammadi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Renewable Energy and Environment
- نوع مقاله: Journal Article
- کلمات کلیدی: Iran,Environmental impact assessment,Baseline data,Geographic Information System,Baseline Geodatabase
- چکیده:
- چکیده انگلیسی: Baseline data represent one of the important stages of Environmental Impact Assessment (EIA) procedure that describes the existing environment of the study area and surrounding areas in enough detail to allow the environmental impacts of the proposed area to be accurately and adequately assessed, and future changes and effects can be measured. Baseline data may be inaccurate, difficult to obtain or non-existent in Iran as a developing country, and it involves huge and diverse environmental data of a spatial nature in the EIA process. Therefore, a useful and effective geographic information system (GIS) approach is developed to integrate geodatabase by acquiring and handling environmental data from different sources related to the proposed project area for the EIA procedure. Based on this approach, a comprehensive geodatabase for baseline data of EIA procedure, called Baseline Geodatabase (BGDB), is designed. The BGDB includes feature datasets (projects, climatology and air quality, hydrology, pedology, general location map of the study area, geology, noise, biology, and socio-economic-cultural data) and tables (fauna). For example, the BGDB for Sabalan geothermal project area, Iran as a case study is developed. This paper provides a practical tool to facilitate the EIA process, environmentally sustainable management, and to support decision-making for environmental specialists and managers in the present and future of the proposed project area.
- انتشار مقاله: 23-10-1397
- نویسندگان: Younes Noorollahi,Fatemeh Pourghasem,Hossein Yousefi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Renewable Energy and Environment
- نوع مقاله: Journal Article
- کلمات کلیدی: Wind Energy,Renewable energy,Wind Turbine,GAMS,Hydroelectric Power,TWO stage optimization
- چکیده:
- چکیده انگلیسی: In recent years, energy predicament and environmental problems in the world caused by fossil fuels combustion make us to pay serious attention to optimizing energy consumption and using renewable energies. One of the potential renewable energies which can be helpful in electricity generation is harness wind and water energy or using these two kinds of energy simultaneously. In this study, to provide a part of electricity in Azadi complex, 2 wind turbines with 12 different scenarios are used. In addition to provide some parts of the consumed electricity, they provide consumed electricity for water pumps which pump the sport complex lake water to a reservoir with 30000 cubic meters capacity and 20 meters height which provides remainder the consumed electricity. In this model, with regard to the uncertain amount of electricity consumption, 3consumption scenarios with three probabilities are pumped every day into a pool and a few of it is used for electricity consumption and the surplus is sold to the agricultural sector and irrigation of green spaces. The GAMS software and two stage optimization methods in two states, with and without considering the risk for optimization are used and in both states, profit and net profit in each scenario are computed.
- انتشار مقاله: 15-07-1393
- نویسندگان: Mojtaba Tahani,Pouria Servati,Ahmad Hajinezhad,Younes Noorollahi,Emad Ziaee
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Energy Management and Technology
- نوع مقاله: Journal Article
- کلمات کلیدی: electric vehicles,Microgrid,Renewable Energy Sources,stochastic optimization,heuristic optimization
- چکیده:
- چکیده انگلیسی: Energy crisis and global warming due to fossil fuel implementation in the energy production sector and in the transportation sector have stimulated global trends to employ the electric vehicles (EVs) in the transportation sector and renewable energy sources (RESs) in the power generation. Coordinated charging of EVs can bring some benefits by itself such as voltage and frequency regulation, spinning reserve, load leveling, peak shaving, RESs support, GHG emission saving and so on. But implementation of this scenario with uncoordinated EV charging which can impose a huge amount of excess load on the grid. In this regard, EVs coordinated energy scheduling is inevitable. This paper comprehensively reviewed the pros and cons of integrating EVs to the grid and recent investigations in EV energy scheduling especially ones that focused on stochastic energy scheduling. Moreover, with knowing this fact that, microgrid with the presence of different distributed generation (DG) such as RESs and a diverse storage system such as EVs would have an important role in the future smart grid, thus, this paper aims to illustrate further research opportunities in this particular field. Also, different types of uncertain variables in recent studies and mathematical methods for optimizing the relevant objective functions of EVs charging are reviewed inclusively. Finally, future trends and investigation occasions in this field of study are discussed.
- انتشار مقاله: 16-12-1397
- نویسندگان: Younes Noorollahi,Armin Aligholian,Aminabbas Golshanfard
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Energy Management and Technology
- نوع مقاله: Journal Article
- کلمات کلیدی: Uncertainty Modeling,Energy hub,Optimization Methods,realistic decision-making
- چکیده:
- چکیده انگلیسی: Energy Hub is an appropriate framework for modeling and optimal scheduling of multi-energy systems (MES). However, the optimal scheduling problem in the energy hub models is fed by various technical, economic, social and environmental parameters. Many of these parameters are mainly subject to uncertainties. Fluctuating nature of renewable energy sources (RES), energy prices in deregulated markets, the behavior of consumers, simplifications and approximations in modeling, linguistic terms of experts, etc. are just a few examples of uncertainty sources in the optimal scheduling problem of energy hub. Ignoring such uncertainties in the process of modeling and optimization of energy hub results in unrealistic models and inaccurate results. On the other hand addressing these uncertainties leads to increased complexity of modeling and optimization. Therefore, identifying appropriate methods to address uncertainties is essential to achieve a realistic model of MES in the framework of energy hub. This paper reviews the different uncertainty modeling methods in optimal scheduling of energy hub. In this paper, different modeling and optimization methods of energy hub are discussed and strengths and weaknesses of these methods are demonstrated. A classification and review of the various uncertainty modeling methods implemented in the most recent research on MES are done to identify efficient methods for using in energy hub models. This paper concludes that future energy hub models need to realistic scheduling and modeling of MES to be able to achieve a realistic and comprehensive model of future sustainable energy systems.
- انتشار مقاله: 07-02-1396
- نویسندگان: Mohammad Mohammadi,Younes Noorollahi,Behnam Mohammadi-ivatloo,Hossein Yousefi,Saeid Jalilinasrabady
- مشاهده
- جایگاه : پژوهشی
- مجله: Energy Equipment and Systems
- نوع مقاله: Journal Article
- کلمات کلیدی: CFD,Pump as Turbine,Geometrical Modification,Hydropower Plant
- چکیده:
- چکیده انگلیسی: Pressure Reducing Valves (PRV) are being used for decreasing the existing extra pressure in the water distribution network. however, they dissipate a considerable amount of energy. Therefore, the idea of application of Soft Pressure Reducing Systems (SPRS) is proposed, where a PRV is replaced by a hydropower station. The heart of An SPRS is the turbo-generator. One of the advantages of this type of hydropower plants is the opportunity of application of reverse pumps as the turbine. The performance of PATs is very susceptible to the flow amount and geometrical parameters. Therefore, the performance optimization of PATs is essential. In this research study, the performance of a PAT is investigated using computational fluid dynamics and four geometrical modifications are applied in order to improve its performance. The investigated geometrical parameters are volute type and diameter, beveling the impeller blade tip, deviation of the blade inlet angle. Results indicated that the utilization of radial volutes would be suitable when the flow is less than its BEP value most of the time and tangential volutes are suitable for the opposite situation. Decreasing the diameter would increase both the produced power and the efficiency but its influence is more significant for flows less than BEP. moreover, the results indicate that at a forward deviation equal to 5 degrees, the optimum performance of the turbine will be achieved.
- انتشار مقاله: 16-04-1397
- نویسندگان: Hossein Yousefi,Younes Noorollahi,Mojtaba Tahani,Roshanak Fahimi
- مشاهده
- جایگاه : پژوهشی
- مجله: Energy Equipment and Systems
- نوع مقاله: Journal Article
- کلمات کلیدی: Genetic Algorithm,Ground Source Heat Pump,Net Present Cost,Carbon Emission
- چکیده:
- چکیده انگلیسی: One of the most challenging issues in modern-day building energy management involves equipping the buildings with more energy efficient facilities. In this paper, a hybrid system for cooling/heating for a residential building is developed and optimized. The system consists of a ground source heat pump (GSHP) as well as an electric chiller (EC) and boiler. The model is implemented in MATLAB and optimized using NSGA-II. Two economic and environmental objective functions are considered: Net Present Cost (NPC) and Carbon Emission (CE); which are minimized simultaneously.
The results indicated that when the building load is completely met by GSHP, much less carbon is emitted to the environment, while when the majority of the load is provided by EC and boiler, NPC is lower and CE is much higher.- انتشار مقاله: 17-08-1395
- نویسندگان: Hossein Yousefi,Mohammad Hasan Ghodusinejad,Younes Noorollahi
- مشاهده
- جایگاه : پژوهشی
- مجله: Environmental Energy and Economic Research
- نوع مقاله: Journal Article
- کلمات کلیدی: Gas turbine,Greenhouse gases,environmental costs,Compressor Station,HVDC transmission
- چکیده:
- چکیده انگلیسی: Iran’s environmental condition is critical, since it is experiencing desertification, unsustainable development and overpopulation. The objective of this study is power source replacement in natural gas stations that operate with natural gas compressors, through using electrical motors, which can be fed by a 160 MW geothermal power plant, as an alternative to gas turbines. Application of such alternative power source will decrease greenhouse gas emissions, lower environmental costs and reduce natural gas consumption. Two economic scenarios are analyzed, with either the state or private sector act as investors of the proposed geothermal power plant. Since the new system requires 580 Million USD capital investment, if the government fully invests the project, it reduces government’s massive annual costs about 130% and turns it from more than $80 Million/year to an income about $24 million/year. Furthermore, if the private sector invests the project and the state’s incentive regulations be taken into account, this project will be beneficial, since its IRR is about 14%; in addition to more than 20% governmental annual cost reduction. This system can be also an economic competitor for liquid natural gas (LNG) cycles and geothermal power can also be a clean power source for LNG plants.
- انتشار مقاله: 20-02-1398
- نویسندگان: Younes Noorollahi,Salman Taghipour,Amin Sadrnejad
- مشاهده
- جایگاه : پژوهشی
- مجله: Environmental Energy and Economic Research
- نوع مقاله: Journal Article
- کلمات کلیدی: Iran,Air pollution,Renewable Energies,Heat Pump,Residential Buildings
- چکیده:
- چکیده انگلیسی: The use of renewable energies, especially in metropolises has led to a reduction in environmental pollution and greater access to clean, renewable and sustainable energy. This paper evaluates the effectiveness of a national plan adopted by the Tehran city council for reducing air pollutions. This plan is designed to increase the share of renewable energies in residential buildings. This study assumes that the extended renewable share is supplied by ground source heat pump (GSHP) systems. The number of Residential Building Permits (RBPs) issued by the city government is predicted in the next five years. Then the effects of using GSHPs on the amount of consumed electricity power and Gas are estimated by considering the policies intended for using GSHPs in Tehran. Finally, the reduction amount of air pollutants is calculated by considering the obtained results from the previous step. The reduction in gas consumption is estimated to be 4,810,848 m3. As a result of this reduction, 9429 tons of CO2, 201 kg of SOx, and 10 tons of NOx are prevented from releasing into the atmosphere. The increased amount of electricity power from running GSHPs in the residential buildings is predicted to be 11,182,543 kWh. The natural gas consumption savings is nearly 50% regarding using combined cycle power plants to generate electricity. The results demonstrated that the plan leads to decrease the emission of CO2 and SOx, and increases in NOx emissions when the excess electricity is supplied by the steam turbine, gas turbine, and combined cycle power plants.
- انتشار مقاله: 02-03-1396
- نویسندگان: Hossein Yousefi,Younes Noorollahi,Mohammad Mohammadi,Pedram Bigdelou,Mahyar Taheri Bavil Oliaei
- مشاهده