@article { author = {payam, fereshteh and Taheri, Abolghasem}, title = {The Role Of Energy Policy On Sustainable Development In Iran}, journal = {Journal of Energy Management and Technology}, volume = {1}, number = {2}, pages = {1-5}, year = {2017}, publisher = {Iran Energy Association (IEA)}, issn = {2588-3372}, eissn = {2588-3372}, doi = {10.22109/jemt.2017.95099.1033}, abstract = {The Role Of Energy Policy On Sustainable Development In Iran Abstract:At the current age, energy plays vital role in moving toward sustainable development and prosperity of the society. To achieve sustainable development, increase in efficiency of sustainable energy resources plays key role. Moreover, role of renewable energies is considerable for sustainable development and improvement of economic stagnation. That is why there is an intimate connection between renewable energy and sustainable development. A comprehensive planning for sustainable development can provide new opportunity to overcome challenges and barriers of new era. Understanding these barriers and challenges can lead us to find suitable analysis and better decision making to move towards sustainable development. Therefore, this study has tried to precisely evaluate the challenges and barriers to development renewable energies in Iran. Moreover, the status of renewable energies in Iran is discussed and finally, some suggestions are presented to move toward a sustainable future.}, keywords = {Renewable Energy,Policy making,sustainable development,Energy}, url = {https://www.jemat.org/article_50840.html}, eprint = {https://www.jemat.org/article_50840_bea6e7c3425d9488103c7345d4144d41.pdf} } @article { author = {Keramati, Misagh and Beiki, Hossein}, title = {The effect of pH adjustment together with different substrate to inoculum ratios on biogas production from sugar beet wastes in an anaerobic digester}, journal = {Journal of Energy Management and Technology}, volume = {1}, number = {2}, pages = {6-11}, year = {2017}, publisher = {Iran Energy Association (IEA)}, issn = {2588-3372}, eissn = {2588-3372}, doi = {10.22109/jemt.2017.87623.1016}, abstract = {The effect of pH adjustment together with substrate to inoculum ratio on biogas production from sugar beet wastes, which are chopped parts of the sugar beet that do not go through the sugar extraction process, was investigated in a lab-scale batch reactor. The pH was set on 7, 8, and 9 for the first 4 days and 0.5:1, 1.5:1, and 2.5:1 substrate to inoculum ratios were used at the same time. There was one sample without pH adjustment for each substrate to inoculum ratio. The results showed that sugar beet wastes have good potential for biogas production. Whilst there was no biogas production in 2.5:1 substrate to inoculum ratio, pH adjustment made it possible to generate biogas. pH adjustment on 7 lead to approximately 1.87 and 10.48 times higher specific biogas production in 0.5:1 and 1.5:1 substrate to inoculum ratios, respectively. Methane content from anaerobic digestion of sugar beet wastes slightly increased with substrate to inoculum ratio increasing. The highest specific biogas production was recorded at a 0.5:1 substrate to inoculum ratio and pH adjustment on 7.}, keywords = {Biogas,anaerobic digestion,sugar beet wastes,pH adjustment}, url = {https://www.jemat.org/article_50841.html}, eprint = {https://www.jemat.org/article_50841_d011c2e430db8aa8c7d131f152963372.pdf} } @article { author = {Shahbazitabar, Maryam and Abdi, Hamdi}, title = {A Solution to the Unit Commitment Problem Applying a Hierarchical Combination Algorithm}, journal = {Journal of Energy Management and Technology}, volume = {1}, number = {2}, pages = {12-19}, year = {2017}, publisher = {Iran Energy Association (IEA)}, issn = {2588-3372}, eissn = {2588-3372}, doi = {10.22109/jemt.2017.92981.1027}, abstract = {Unit commitment problem (UCP) is an essential concept in electricity generation due to various economical and environmental concerns. This paper presents a hierarchical combination algorithm for solving the UCP which is able to minimize the simulation time as well as the operational cost. Furthermore, the binary decision variables, determining the state of unit (on/off), are produced in each hour considering the demand and spinning reserve requirements (SRRs). Minimum up and down time constraints are applied in order to reduce the solution space. Finally, the economic dispatch (ED) is carried out for the feasible commitments obtained in each interval respect to the power generation limitations. In addition, the Priority List (PL) and Exhaustive Enumeration (EE) methods are implemented during the load increases and decreases, respectively. The proposed method has been implemented and applied to the standard power systems and the obtained results verify the relevant acceptable computational time with the optimal cost compared to the other well-known methods in the literature.}, keywords = {Dynamic programming,Hierarchical combination,Power generation scheduling,Priority list,Unit commitment problem}, url = {https://www.jemat.org/article_51418.html}, eprint = {https://www.jemat.org/article_51418_eea40265481c4b2effc5b01a2fed027b.pdf} } @article { author = {Movahednasab, Ali and Rashidinejad, Masoud and Abdollahi, Amir}, title = {Long Run Analysis of Natural Gas and Electricity Export via System Dynamics}, journal = {Journal of Energy Management and Technology}, volume = {1}, number = {2}, pages = {20-30}, year = {2017}, publisher = {Iran Energy Association (IEA)}, issn = {2588-3372}, eissn = {2588-3372}, doi = {10.22109/jemt.2017.88394.1017}, abstract = {Analyzing different scenarios for exporting natural gas and electricity is the main subject in this paper. The place of Iran as the owner of second largest reserves of natural gas in the world and exporting it to different countries increase the notability of this study. On the other hand, in the restructured power system, the role of natural gas is growing in the electricity generation. This paper analyzes exporting natural gas and electricity via three scenarios, including 1) direct transfer of natural gas at real time and forward prices, 2) exporting the electricity, considering fuel payment and without fuel cost and 3) conversion of natural gas into electricity and transferring via the power market. Markove Chain Monte Carlo (MCMC) is applied for modelling the natural gas price during the studied time horizon. In this regard, the scenarios are analyzed via system dynamics. Published data by energy information administration (EIA) about natural gas price, the costs of generation by different technologies and plans for exporting the natural gas and electricity are used in this study. The results show that exporting the natural gas or the electricity in suitable forward price are the most profitable scenarios. Transferring the natural gas at real time price is profitable, while exporting the electricity at the real time price of power market can not meet the economic goals, even by expanding the renewable resources.}, keywords = {Natural gas,electricity,power market,system dynamics}, url = {https://www.jemat.org/article_52033.html}, eprint = {https://www.jemat.org/article_52033_5d6eb6d85adefa82c58375c7555d524a.pdf} } @article { author = {Mousaei, Ahmad and Hatefi, Mohammad ali}, title = {A Model for determining Industry Clusters portfolio of the Natural Gas Value Chain based on Industrial Clusters Structure (ICS) analysis}, journal = {Journal of Energy Management and Technology}, volume = {1}, number = {2}, pages = {31-37}, year = {2017}, publisher = {Iran Energy Association (IEA)}, issn = {2588-3372}, eissn = {2588-3372}, doi = {10.22109/jemt.2017.90023.1022}, abstract = {Following globalization and intensifying the competition in the business environment, most of the businesses are looking for competitive advantages. One way to achieve this goal is to form industrial clusters. In this paper, an screening model is introduced for determining industry clusters portfolio of the natural gas value chain. The model uses Industrial Clusters Structures (ICS), and develops a sequential filters-based technique to select the the portfolio. At the first phase, all products of natural gas value chain and their industrial clusters are identified. Next, on the basis of forming criteria of industrial cluster, high potential products to form a cluster are recognized. Then, they are evaluated and filtered based on a techno-economy and environmental feasibility study. Finally, the candidate products to form industrial cluster of natural gas are specified. In accordance with the natural gas experts opinions, a Nominal Group Technique (NGT) has been conducted to demonstrate the validity of the model. Moreover, the application of the proposed model was implemented in a a real case extracted from Iran petro-chemical industry. We believe that using the proposed model helps the relevant analysts to make decisions in most productive manner.}, keywords = {Natural gas,Value chain,Industry cluster,Industrial clusters structures}, url = {https://www.jemat.org/article_50843.html}, eprint = {https://www.jemat.org/article_50843_ef9ad45ea8f8ac5bfbd369389338f8b5.pdf} } @article { author = {Ebadollahi, Mohammad and Rostamzadeh, Hadi and Ghaebi, Hadi and Amidpour, Majid and Rostamian, Fateme and Abioghli, Hadi}, title = {Energy analysis and performance Evaluation of a novel multi evaporator Ejector Refrigeration Cycle (ERC)}, journal = {Journal of Energy Management and Technology}, volume = {1}, number = {2}, pages = {38-45}, year = {2017}, publisher = {Iran Energy Association (IEA)}, issn = {2588-3372}, eissn = {2588-3372}, doi = {10.22109/jemt.2017.82561.1006}, abstract = {This paper presents a theoretical analysis of triple-evaporator ejector refrigeration cycle (TEERC) for triple applications of cooling, freezing, and ventilation, based upon the first and second laws of thermodynamics. Nine appropriate working fluids (i.e., R717, R152a, R134a, R290, cis-2-butene, butane, isobutene, isobutane, R236fa) are presented for the proposed cycle based on the working fluid characteristics, cycle efficiency, and environmental consideration. Energetic and exergetic analyses of the proposed cycle have been performed leading to determination of the main source of the irreversibility of the whole cycle. It was found that generator has the main source of irreversibility which is followed by the ejector and condenser, respectively. The maximum and minimum coefficient of performance (COP) are obtained for R717 and R236fa by the values of 0.333 and 0.268, respectively. On the other hand, the maximum and minimum exergy efficiencies are calculated for R717 and isobutene by the values of 21.43% and 12/51 %, respectively. Also, using R717 as the best working fluid in this investigation, the ventilation, cooling and freezing capacities are obtained 11.68 kW, 3.86 kW, and 1.904 kW, respectively. At last, sensitivity analysis of some key parameters has been conducted in order to understand the characteristics of the proposed cycle, comprehensively. It has been shown that increasing of the evaporators and generator temperatures and decreasing of the condenser temperature increase both COP and exergy efficiency. Moreover, among all influential parameters, ejector mass entrainment ratio has a stronger effect on the freezing, ventilation, and cooling capacities.}, keywords = {Triple-evaporator ejector refrigeration cycle (TEERC),Energetic analysis,Working fluid selection,Low-temperature heat source}, url = {https://www.jemat.org/article_52035.html}, eprint = {https://www.jemat.org/article_52035_4e73e6bc14e498382e5351656a6fec3e.pdf} } @article { author = {Maalandish, Mohammad and Pourjafar, Saeed and Hosseini, Seyed Hossein and Taghizadegan Kalantari, Navid}, title = {Leakage Current Elimination with Improved Non-Isolated Nine-Level Inverter for Grid-Connected PV Panels}, journal = {Journal of Energy Management and Technology}, volume = {1}, number = {2}, pages = {46-55}, year = {2017}, publisher = {Iran Energy Association (IEA)}, issn = {2588-3372}, eissn = {2588-3372}, doi = {10.22109/jemt.2017.83238.1008}, abstract = {In this paper, an improved structure with model predictive control (MPC) is presented to eliminate leakage current of grid-connected PV panels. The proposed topology consists of a PV panel in the input side, a non-isolated DC/DC multilevel boost converter and a nine-level inverter at the output side. The DC-DC multilevel boost converter can provide equal voltage levels in different rated power by controlling duty-cycle. The utilized dc-dc converter can increase the output voltage of PV panel to produce desired values at the input ports of the nine-level inverter. In Non-isolated grid-connected PV converters, there are parasitic capacitors between grid and PV panel which leads to the leakage current flowing through parasitic capacitors to the system. It causes a safety problem, injection of harmonic current to the grid, increasing losses, and efficiency reduction. In order to eliminate leakage current due to using the parasitic capacitor of PV panel, MPC control method is utilized to achieve high overall efficiency. To confirm the operation of presented structure and theoretical analysis, PSCAD/EMTDC software is used.}, keywords = {Grid-connected,Non-Isolated Converter,Multi-Level Inverter,Leakage Current,Model Predictive Controller}, url = {https://www.jemat.org/article_50842.html}, eprint = {https://www.jemat.org/article_50842_4d6bc3609a93cf8f14a0d054d1bbc62c.pdf} }