Journal articles: 'Power-plants – Location'

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Barda, O. Haluk, Joseph Dupuis, and Pierre Lencioni. "Multicriteria location of thermal power plants." European Journal of Operational Research 45, no. 2-3 (April 1990): 332–46. http://dx.doi.org/10.1016/0377-2217(90)90197-j.

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OKAZAWA, Yuki, Kimihiro HINO, and Yasushi ASAMI. "LOCATION FACTORS OF PHOTOVOLTAIC POWER PLANTS IN THE KYUSHU ELECTRIC POWER JURISDICTION." Journal of Architecture and Planning (Transactions of AIJ) 85, no. 774 (2020): 1751–59. http://dx.doi.org/10.3130/aija.85.1751.

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Wang, Chia-Nan, Tsang-Ta Tsai, and Ying-Fang Huang. "A Model for Optimizing Location Selection for Biomass Energy Power Plants." Processes 7, no. 6 (June 8, 2019): 353. http://dx.doi.org/10.3390/pr7060353.

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In addition to its potential for wave power, wind power, hydropower, and solar power, it can be said that Vietnam is a country with great potential for biomass energy derived from agricultural waste, garbage, and urban wastewater, which are resources widely available across the country. This huge amount of biomass, however, if left untreated, could become a major source of pollution and cause serious impacts on ecosystems (soil, water, and air), as well as on human health. In this research, the authors present a fuzzy multicriteria decision-making model (FMCDM) for optimizing the site selection process for biomass power plants. All of the criteria affecting location selection are identified by experts and literature reviews; in addition, the fuzzy analytic hierarchy process (FAHP) method was utilized so as to identify the weight of all of the criteria in the second stage. Furthermore, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is applied for ranking potential locations in the final stage of this research. As a result, Long An (DMU/005) was found to be the best location for building biomass energy in Vietnam. The main contributions of this work include modeling the site selection decision process under fuzzy environment conditions. The proposed approaches also can address the complex problems in site selection; it is also a flexible design model for considering the evaluation criteria, and is applicable to location selection for other industries.

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ALDRICH, DANIEL P. "LOCATION, LOCATION, LOCATION: SELECTING SITES FOR CONTROVERSIAL FACILITIES." Singapore Economic Review 53, no. 01 (April 2008): 145–72. http://dx.doi.org/10.1142/s0217590808002884.

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While a large literature exists on the siting of controversial facilities, few theories about spatial location have been tested on large samples. Using a new dataset from Japan, this paper demonstrates that state agencies choose localities judged weakest in local civil society as host communities for controversial projects. In some cases, powerful politicians deliberately seek to have facilities such as nuclear power plants, dams and airports placed in their home constituency. This paper then explores new territory: how demographic, political and civil society factors impact the outcomes of siting attempts. It finds that the strength of local civil society impacts the probability that a proposed project will come to fruition; the greater the concentration of local civil society, the less likely state-planned projects will be completed.

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Azevedo, Verônica Wilma Bezerra, and Chigueru Tiba. "Location of Large-Scale Concentrating Solar Power Plants in Northeast Brazil." Journal of Geographic Information System 05, no. 05 (2013): 452–70. http://dx.doi.org/10.4236/jgis.2013.55043.

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Bojić, Sanja, Đorđe Đatkov, Dejan Brcanov, Milosav Georgijević, and Milan Martinov. "Location allocation of solid biomass power plants: Case study of Vojvodina." Renewable and Sustainable Energy Reviews 26 (October 2013): 769–75. http://dx.doi.org/10.1016/j.rser.2013.06.039.

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Hofierka, Jaroslav, Ján Kaňuk, and Michal Gallay. "The Spatial Distribution of Photovoltaic Power Plants in Relation to Solar Resource Potential: The Case of the Czech Republic and Slovakia." Moravian Geographical Reports 22, no. 2 (July 29, 2014): 26–33. http://dx.doi.org/10.2478/mgr-2014-0009.

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Abstract Over the last few years, many European countries experienced a rapid growth of photovoltaic (PV) power plants. For example, more than 20, 000 new PV power plants were built in the Czech Republic. The high spatial and temporal variability of the solar resource and subsequent PV power plant production, poses new challenges for the reliability and predictability of the power grid system. In this paper, we analyse the most recent data on PV power plants built in the Czech Republic and Slovakia, with a focus on the spatial distribution of these installations. We have found that these power plants scarcely follow the solar resource potential and, apparently, other factors affect decisions for their location. Recent changes in the support schemes for solar applications also influence these patterns, with new installations mostly confined to built-up areas. These changes will require new tools to assess the appropriate locations of PV systems.

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Dorahaki, Sobhan. "Optimal DG Placement with the Aim of Profits Maximization." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 2 (February 1, 2016): 249. http://dx.doi.org/10.11591/ijeecs.v1.i2.pp249-254.

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Using distributed generation power plants is common due to advantages such as system capacity release, voltage support and reduced energy losses in power networks. Prior to the creation of distributed generation plants (DG), economic calculation is needed in order to find the optimum location. In this study, IEEE 57 bus test system is evaluated using two index of LMP and CP. Then, the optimal location of distributed generation plants is studied in experimental network. Finally, the effects of DG correct location on buses LMP after DG installation is studied.

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Daneshvar Rouyendegh, Babak, Abdullah Yildizbasi, and Ümmühan Z. B. Arikan. "Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey." Advances in Fuzzy Systems 2018 (August 16, 2018): 1–14. http://dx.doi.org/10.1155/2018/6703798.

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The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plant site selection. For this purpose 4 alternative wind power plant locations have been identified. To evaluate the alternatives, 10 criteria in four dimensions including wind potential, location, cost, and social benefits are selected. Since the Multicriterion Decision Making (MCDM) methods are often used in problem of location selection from past to present, TOPSIS method combined with intuitionistic fuzzy set (IFS) has been used to achieve this goal. The main purpose of the TOPSIS method is to rank the alternatives in the worst way. The IFS are used to reflect approval, rejection, and hesitation of decision makers by dealing with real life uncertainty, imprecision, vagueness, and linguistic human decisions. Finally, a numerical example is applied for wind power plant site selection. In order to demonstrate the effectiveness of IFS, the problem is solved by the Fuzzy TOPSIS method using the same data. Then, the obtained results are compared with the IFS method to show the effectiveness of the proposed method.

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Adrovic, F. "Measurements of environmental background radiation at location of coal-fired power plants." Radiation Protection Dosimetry 112, no. 3 (November 16, 2004): 439–42. http://dx.doi.org/10.1093/rpd/nch401.

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Mohammedsaeed, Elshiekh K., Mohamed A. Abdelwahid, and Ke Jia. "Distance protection and fault location of the PV power plants distribution lines." Journal of Engineering 2019, no. 16 (March 1, 2019): 2710–16. http://dx.doi.org/10.1049/joe.2018.8795.

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Banshwar, Anuj, Naveen Kumar Sharma, Yog Raj Sood, and Rajnish Shrivastava. "Optimal location and rating of wind power plants in competitive electricity market." Journal of Renewable and Sustainable Energy 9, no. 4 (July 2017): 043306. http://dx.doi.org/10.1063/1.4999960.

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Mostafaeipour, Ali, Sajjad Sadeghi, Mehdi Jahangiri, Omid Nematollahi, and Ali Rezaeian Sabbagh. "Investigation of accurate location planning for wind farm establishment: a case study." Journal of Engineering, Design and Technology 18, no. 4 (December 4, 2019): 821–45. http://dx.doi.org/10.1108/jedt-08-2019-0208.

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Purpose Wind as a major source of renewable energy has received tremendous attentions due to its unique features to reduce carbon emission and also to keep the environment safe. Nevertheless, to use wind energy properly, the environmental circumstances and geographical location related to wind intensity should be considered as a priority. Different factors may affect the selection of a suitable location for developments of wind power plants; thus, these factors should be considered concurrently to identify the optimum location of wind plants. Design/methodology/approach In this study, first, basic data envelopment analysis (DEA) was used, then dual DEA was used and, finally, Anderson Petersen (AP) model of dual DEA was selected to prioritize cities or decision-making units (DMUs). Numerical Taxonomy (NT) method was also used to assess the validity of AP dual model in DEA. The prescribed approach was applied for five cities in East Azerbaijan province of Iran. Findings The results indicate that wind power as a renewable energy can be harnessed in few cities, and the ranking by DEA illustrated that the city of Tabriz is the first priority. Practical implications Low environmental degradation effects in comparison to other methods and the ability to utilization at a widespread level include the benefits of using wind energy in the generation of electricity. In this regard, the study of relevant potentials and finding suitable locations for the deployment of wind energy utilization equipment are essential. Using DEA method helps us to choose optimal locations according to different criteria. Social implications Wind energy is justifiable in reducing social costs in comparison with fossil fuel plants, which includes negative effects, and its electricity can be used as a sustainable energy in the country's economic, social and cultural development. Originality/value For identifying the most proper location for development of wind power plants in Iran, DEA is applied for the first time to prioritize the suitable locations for installations of wind turbines among five different cities in the East Azerbaijan region. A number of crucial factors including land price, distance to power, rate of natural hazards, wind speed and topography are considered for location optimization of wind turbines for the first time. Also, to validate the results of DEA method, NT method is used to assess the validity of AP dual model in DEA.

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Telegin, Valeri, Nikolai Titov, and Anatoli Stepanov. "Mathematical Modeling of Power Supply of an Autonomic Enterprise Based on Wind Power Plants." International Journal of Engineering & Technology 7, no. 3.5 (July 7, 2018): 4. http://dx.doi.org/10.14419/ijet.v7i3.5.15188.

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Power supply systems for small businesses based on renewable energy sources are most often based on converting wind energy, solar energy and water energy. Calculating its effectiveness is a time-consuming task, requiring the processing of a large amount of data specific for the geographical location of power generating units. In the article the technique of computer modeling of work of a park of wind power plants (WPP) with the purpose of definition of an optimum parity of their parameters is considered.

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Telegin, Valeri, and Anatoli Stepanov. "Mathematical Modeling of Power Supply of an Autonomic Enterprise Based on Wind Power Plants." International Journal of Engineering & Technology 7, no. 3.5 (July 7, 2018): 48. http://dx.doi.org/10.14419/ijet.v7i3.5.15200.

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Power supply systems for small businesses based on renewable energy sources are most often based on converting wind energy, solar energy and water energy. Calculating its effectiveness is a time-consuming task, requiring the processing of a large amount of data specific for the geographical location of power generating units. In the article the technique of computer modeling of work of a park of wind power plants (WPP) with the purpose of definition of an optimum parity of their parameters is considered.

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Chakraborty, Suprava, and Pradip Sadhu. "Mathematical Methodology to Predict Energy Generation of Grid Connected PV Power Plants in India." Current World Environment 11, no. 1 (April 25, 2016): 156–66. http://dx.doi.org/10.12944/cwe.11.1.20.

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This paper presents a reliable mathematical methodology to predict the energy generation from grid connected Photovoltaic plant of different technologies in India. Energy generation of different commercially used PV technologies in different locations of India is predicted using proposed mathematical method. This results show a decisive study to choose the best PV technology for particular location of India. Predicted energy generation is validated with the monthly generation for the whole year of 2014 from operational PV power plants of different technologies. Predicted generation is in good co-relation with the actual real time generation and Capacity Utilization Factor (CUF) of the PV plants.

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Huy, Phung Dang, and V. K. Ramachandaramurthy. "Determination of Optimal Location, Sizing and Power Factor of Grid-Connected Solar PV Plant." Applied Mechanics and Materials 785 (August 2015): 566–70. http://dx.doi.org/10.4028/www.scientific.net/amm.785.566.

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The increasing number of grid-connected solar PV plants today has brought great benefits to the power system. However, it has also created several technical issues that need to be addressed by planning engineers. Due to this reason, the optimization for interconnection of solar PV plants has attracted their attentions, in order to operate these plants safely and economically. In this paper, three key parameters which are the location, size and operating power factor of the solar PV plant are optimized. The proposed method considers the technical constraints of the network such as voltage limits, together with the intermittency of PV generation and system loads. Two case studies are simulated on a typical 11kV distribution system with 54 buses. Results show a reduction in system energy losses for the optimized values, without violating any power system requirements.

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Tavakolnia, Esmail, and Seyed Vali Mostafavi Makrani. "Location, Industry Competition and Profitability." Asian Journal of Finance & Accounting 8, no. 2 (August 13, 2016): 31. http://dx.doi.org/10.5296/ajfa.v8i2.9632.

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The construction of one or more plants in optimum sites and in the best possible situation, not only improves materials circulation and customer services, but also puts the company in a desirable situation. Decisions associated with the selection and acquisition of features of a center’s site selection can have a great impact on the ability to gain and maintain competitive advantages. This study tests the impact of distance from population centers on the profitability for the first time. The sample which has been used in the food products industry, includes 21 firms listed in Tehran Stock Exchange during 2009 to 2014, and panel data regression methods were used to process and test the hypotheses. The results showed that product market competition enhances the negative impact of corporate distance from Tehran and big cities on the basic earnings power (earnings before tax). However, the relative power of the firm in a competitive environment weakens the negative impact of corporate distance from Tehran and big cities on the basic earnings power (earnings before tax).

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Maksimova, S. G., M. M. Akulich, V. V. Pit, O. E. Noyanzina, and D. A. Omelchenko. "Социальная приемлемость экологического риска населением в регионах деятельности атомных электростанций." Ukrainian Journal of Ecology 8, no. 1 (March 8, 2018): 409–19. http://dx.doi.org/10.15421/2018_229.

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The use of nuclear technology increases the ecological risk for the society and people’s moods, inevitably. The article presents results of monitoring, realized in 2013–2015 in nine subjects of the Russian Federation – territories of disposition of the Concern RosEnergoAtom branches – the Voronezhskaya oblast, the Kurskaya oblast, the Leningrad oblast, the Saratovskaya oblast, the Sverdlovskaya oblast, the Murmanskaya oblast, the Rostovskaya oblast, the Tverskaya oblast, and the Smolenskaya oblast. Authors considered social moods of population in regions of location of nuclear power plants, people’s trust to the nuclear industry, opinions about its reliability and safety, and perspectives for the further development. The article contains the results of comparative analysis of integral indexes, characterizing social admissibility of nuclear industry and evaluation of social role of the nuclear power plants in regional economic development. We suggested, that indexes of general and ecological security of the nuclear power plant, revealing the estimations of reliability, stability, general and ecological security, implication of new technologies of protection, implementation of new technologies of environment protection, realized by administrative bodies of the nuclear power plants could could vary in different regions. We proved, that the social admissibility of the risk in regions of nuclear power plants location is a necessary condition for the development of the nuclear industry, elimination of social tension, and formation of positive social moods in regions and cities of location of nuclear power plants.

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Goh, Hui Hwang, Sy yi Sim, Dahir Khere Diblawe, Mortar Mohamed Ali, Chin Wan Ling, Qing Shi Chua, and Kai Chen Goh. "Energy Power Plant in Electric Power Distribution Systems Equipping With Distance Protection." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 1 (October 1, 2017): 192. http://dx.doi.org/10.11591/ijeecs.v8.i1.pp192-198.

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This paper suggests the theory of distance protection criteria in power distribution systems for power plant generation. Multi-developed countries have energy power plants that placed in remote areas which are far from the grid line. Hence, they should be coupled to the low power transportation systems necessarily. While higher-rating relays are adopted to preserve feeders at power substations, fuses are merely obtainable outside on feeder channel. The safe system process, space protection is dispatched to save feeders. In this review, feeders with distance relays are equipped, together with over-current protection relays and fuses. Energy power plant having distance protection system is designed the implemented system was a 6-MW unit of compressed power energy reproduction. The sample feeder was shortened to be equal four-bus experiment feeder for transmitting resolution. The fault currents have chances adopted to form protecting regions of distance relays. Protection of the power line through the designed power plants for distance relaying can decrease problem in relay location because of the impedance-based location of the distance relay.

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Jia, Ke, Chenjie Gu, Lun Li, Zhengwen Xuan, Tianshu Bi, and David Thomas. "Sparse voltage amplitude measurement based fault location in large-scale photovoltaic power plants." Applied Energy 211 (February 2018): 568–81. http://dx.doi.org/10.1016/j.apenergy.2017.11.075.

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Zhao, Xin-gang, and Ang Li. "A multi-objective sustainable location model for biomass power plants: Case of China." Energy 112 (October 2016): 1184–93. http://dx.doi.org/10.1016/j.energy.2016.07.011.

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Demikova, Nataliya S., Elena K. Khandogina, Ludmila M. Vorobyeva, Nataliya A. Fedotova, and Boris A. Kobrinsky. "The comparative analysis of birth defects rates in regions of nuclear power-plants location." Ecological genetics 8, no. 2 (June 15, 2010): 29–34. http://dx.doi.org/10.17816/ecogen8229-34.

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The analysis of birth defects (BD) rates in regions of nuclear power-plants locations in comparison with control regions have been performed using BD monitoring database for 2000–2007 years. It has been shown that the BD rates in these regions don’t differ from BD rates in control regions, Russia Federation on the whole and some other countries. Receiving results indicate that the working of nuclear power-plants doesn’t lead to increasing of BD frequencies in these regions.

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Milovanović, Zdravko, Snježana Milovanović, Valentina Janičić Milovanović, Svetlana Dumonjić-Milovanović, and Dejan Branković. "Modeling of the Optimization Procedure for Selecting the Location of New Thermal Power Plants (TPP)." International Journal of Mathematical, Engineering and Management Sciences 6, no. 1 (October 29, 2020): 118–65. http://dx.doi.org/10.33889/ijmems.2021.6.1.009.

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At the level of design of thermal power plants (TPP), when making decisions related to the choice of its macro location and micro location, disposition solution and equipment structure, the choice of the right decision method is of particular importance. Multi criteria analysis involves solving inadequately structured problems, while in practical terms it is a necessary tool in solving the day-to-day tasks of decision-making, management actions, both at the design level and the exploitation of complex energy and process systems. The development of new methods and the improvement of existing multi criteria analysis methods have influenced their increasing application in the field of energy, from both theoretical and practical aspects. A particular segment of the application of multi criteria analysis methods is to make strategic or operational decisions when solving multidisciplinary problems with predominantly technical or predominantly economic content, whether looking at a part or the energy system as a whole. The application of these methods in choosing the right solutions in the decision-making tasks of management in the design, maintenance and operation of thermal power plants is based on the development of information technology and computer technology. There are several methods in use today, of which the following should be emphasized: PROMETHEE (Preference Ranking Organization METHod of Enrichment Evaluation), AHP (Analytic Hierarchy Process), IKOR, ELECTRE (ELimination Et Choice Translating REality), MAX-MIN, MAX-MAX, Hurwicz (combination of max-max and max-min methods), SAW (Simple Additive Weighting Method), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), conjunctive method, disjunctive method, etc. Depending on the method used, the ranking of alternatives or criteria, the best alternative or criterion or set of alternatives or criteria that meet certain conditions is obtained as a solution. Problems that can be considered using multi-criteria decision-making have certain common characteristics: a large number of criteria that must be created by the decision maker, a high likelihood of conflict between the criteria, inseparable (different) units of measure (as a rule, each criterion has different units of measure), as well as design or the choice of optimal concepts in a predetermined space. Solutions are either designing the best alternative or choosing the best action from a set of predefined final actions. This paper provides a brief description of the more important methods, along with an analysis of their advantages and disadvantages, as well as the possibility of applying them to solve the specific problem of choosing a micro location for TPP. Starting from the application of the modified multi criteria method for determining the priorities between individual alternatives for ranking and selecting the optimal micro location within a certain macro location within a predetermined framework, in a decision situation involving a number of decision makers of different specialty, examples of micro location selection for new thermal power facilities of TPP Stanari are given, TPP Gacko 2 and TPP Ugljevik 3, with preliminary definition of elimination criteria and criteria for comparison of locations of given TPPs.

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R. P., Praveen. "Performance Analysis and Optimization of Central Receiver Solar Thermal Power Plants for Utility Scale Power Generation." Sustainability 12, no. 1 (December 23, 2019): 127. http://dx.doi.org/10.3390/su12010127.

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The paper puts forth the design, performance analysis, and optimization of a 100 MWe central receiver solar thermal power plant with thermal energy storage capability, which can be utilized effectively to meet the renewable energy targets of the Kingdom of Saudi Arabia (KSA). In this paper, three representative sites in KSA are selected for analysis as these sites experience an annual average direct normal irradiance (DNI) of more than 5.5 kWh/m2/day. The optimization approach presented in this work aims to arrive at the best possible design parameters that suit a particular location in accordance with its DNI profile. From the analysis, an annual energy of 559.61 GWh can be generated in Yanbu with eight hours of thermal energy storage, 18.19% plant efficiency, and a capacity factor of 61.1%. The central receiver plant in Abha would be able to offer an annual energy of 536.31 GWh with the highest plant efficiency of 18.97% and a capacity factor of 60.7%. The performance of the proposed design in the two locations of Yanbu and Abha fares better when compared to the operational plant data of central receiver plant in Crescent Dunes. Based on the findings, the proposed 100 MWe central receiver Solar thermal power plants can be effectively implemented in KSA to meet the energy demands of the region.

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Xie, Lunyu, Ying Huang, and Ping Qin. "Spatial distribution of coal-fired power plants in China." Environment and Development Economics 23, no. 4 (May 25, 2018): 495–515. http://dx.doi.org/10.1017/s1355770x18000098.

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AbstractCoal has fueled China's rapid growth in recent decades, but it also severely pollutes the air and causes many health issues. The magnitude of the health damage caused by air pollution depends on the location of emission sources. In this paper, we look into the spatial distribution of coal-fired power plants, which are the major emission sources in China, and investigate the determining factors behind the distribution. We find that the driving factors are economic development and expansion of electricity grid coverage; the latter factor plays a key role in provinces that are less developed but have abundant coal resources. This suggests a way to reduce health damages caused by air pollution without harming the economy: attracting coal-fired plants to less populated areas by developing trans-province electricity trade and grid coverage.

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Liu, Zhibin, Xin Wang, and Aisheng Ren. "Using improved iterative gravity method to optimize the investment location of agricultural biomass power generation projects: a case study." Indian Journal of Power and River Valley Development 70, no. 9&10 (June 10, 2021): 145. http://dx.doi.org/10.18311/ijprvd/2020/27945.

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Biomass power generation has characteristics of good quality of power generation, high reliability and mature technology. It plays significant aspects in maintaining the safety of energy, optimizing energy structure, alleviating environmental pollution and promoting the economic development in the rural areas. Analyzing the investment of biomass power generation in China systematically cannot only improve the scientificity of the investment process, but also guide the industry to develop rapidly and healthily. At present, the investment areas of agricultural biomass power generation projects are too concentrated and the fuel supply is difficult, which affect the normal operation of biomass power plants and lead to loss or on the verge of profit and loss of biomass power generation plants. This paper constructed the optimal model of investment location of agricultural biomass power generation projects using the iterative gravity algorithm based on the key factors analysis to affect the operation costs of agricultural biomass power plants. The model optimized the transportation lines and transportation distance, and gained the smallest transport costs of power generation materials after a few iterative calculations. This paper took Huantai County as an example, and determined the optimal investment location of agricultural biomass power project using the Region props toolbox of Matlab 7.4. The simulating calculation of Huantai County showed that the results given by this model are reliable, and this method to select the investment location of agricultural biomass power projects is feasible and effective.

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Sen, Pallabi, Kinnar Sen, and Urmila M. Diwekar. "A multi-objective optimization approach to optimal sensor location problem in IGCC power plants." Applied Energy 181 (November 2016): 527–39. http://dx.doi.org/10.1016/j.apenergy.2016.08.006.

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Kapoulea, Stavroula, Costas Psychalinos, Ahmed S. Elwakil, and Mohammad Saleh Tavazoei. "Power-Law Compensator Design for Plants with Uncertainties: Experimental Verification." Electronics 10, no. 11 (May 30, 2021): 1305. http://dx.doi.org/10.3390/electronics10111305.

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A power-law compensator scheme for achieving robust frequency compensation in control systems including plants with an uncertain pole, is introduced in this work. This is achieved through an appropriate selection of the compensator parameters, which guarantee that the Nyquist diagram of the open-loop system compensator-plant crosses a fixed point independent of the plant pole variations. The implementation of the fractional-order compensator is performed through the utilization of a curve-fitting-based technique and the derived rational integer-order transfer function is realized on a Field-Programmable Analog Array device. The experimental results confirm that the the phase margin is well preserved, even for ±40% variation in the pole location of the plant.

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Bamisile, Olusola, Foyin Olubiyo, Mustafa Dagbasi, Humphrey Adun, and Ifeoluwa Wole-Osho. "Economic Analysis and Performance of PV Plants: An Application in Kurdistan Region of Iraq." International Journal of Renewable Energy Development 8, no. 3 (October 2, 2019): 293–301. http://dx.doi.org/10.14710/ijred.8.3.293-301.

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In this study, photovoltaic (PV) technology development over the years is reviewed. The use of PV power plants to solve inadequate power supply in Kurdistan is also analysed. PV power application is one of the most developed renewable energy applications but still not commercialized in somw countries. In this paper, three different locations will be evaluated in Kurdistan for PV plant installation. The research will investigate the best location for PV plant installation in Kurdistan, check the viability of the proposed plants and compare the performance of a fixed and a double axis tracking system. A 10 MW PV plant is developed and simulated based on economic terms. The results from the analysis shows that the simple payback period for a 10 MW PV plant in all the locations considered is between 6.8 and 7.2 years. Also, the installation with two-axis tracking system gave the lowest simple payback period (6.8 years). The PV plant is viable considering other economic indicators like; IRR, NPV, annual life cycle savings and BCR. The yearly savings of the system for one of the locations considered is US$1,573,327 with a dual axis tracking system. ©2019. CBIORE-IJRED. All rights reserved

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Álvarez-de Prado, Laura, Miguel de Simón-Martín, Ana-María Diez-Suárez, Jorge Blanes-Peiró, and Alberto González-Martínez. "Optimal Sizing and Location of Co-Digestion Power Plants in Spain through a GIS-Based Approach." Environments 5, no. 12 (December 13, 2018): 137. http://dx.doi.org/10.3390/environments5120137.

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The promotion of the development of co-digestion power plants will be intensified in many European Union member states as the main target of the Union concerning energy generation is complete decarbonisation by 2050. This potential expansion prompts the need for optimal resources allocation according to several techno-economical parameters, highlighting energy costs, power infrastructures access, and social and environmental aspects and restrictions. In Spain, agricultural and livestock biogas production trough co-digestion power plants is still poorly deployed, although the EU Directive 2009/28/EU stipulates that energy from bio-fuels and bio-liquids should contribute to a reduction of at least 35% of greenhouse gas emissions in order to be taken into account, and many authors agree that biogas produced from energy crops and livestock waste fulfils this criterion. Moreover, biogas can be used to upgrade gas pipelines and may have other efficient thermal uses. In this paper, through a Geographical Information System approach, eight different co-digestion mixtures have been evaluated and the most profitable ones have been optimized for the Spanish Iberian Peninsula according to the geographical distribution of the resources. Furthermore, the best locations for co-digestion power plants siting have been calculated, minimizing transport costs and considering technical, environmental and social restrictions. In contrast with other studies, this proposed approach is focused on a holistic optimization. Results show that in Spain the most feasible co-digestion mixtures are based on slurry, glycerine and animal meals, and four areas arise with an outstanding energetic potential up to 208 MW exploitable in large electrical power plants, while 347 MW can be reserved for distributed generation based on this technology.

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Gusarov, Valentin, Dmitriy Pisarev, and Elena Gusarova. "The Concept of Building Petrothermal Thermal Power Plants." Elektrotekhnologii i elektrooborudovanie v APK 1, no. 42 (January 2021): 44–49. http://dx.doi.org/10.22314/2658-4859-2021-68-1-44-49.

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The article describes he prospect of using petrothermal energy for the needs of public utilities and electricity generation. (Research purpose) The research purpose is in justifying a new method for developing deep high-temperature layers of the earth’s crust in order to obtain a hot coolant for petrothermal thermal power plants that provide heat and electricity supply systems for rural settlements and agro-industrial facilities. (Materials and methods) In rural areas where there are small cities, the population uses traditional hydrocarbon fuels for heat and electricity supply to the residential sector and public infrastructure: natural gas, fuel oil, diesel fuel, coal, which have a high cost and logistical losses. (Results and discussion) K.E. Tsiolkovsky described a method for obtaining thermal energy from the earth’s interior by drilling wells, heating the coolant and feeding it to the surface for further use. The hot layers of the earth’s crust are present throughout the land and sea areas of the world, but the temperature gradient in various places ranges from 2.5 to 4 degrees Celsius per 100 meters of depth. Petrothermal thermal power plants are cogeneration power plants, the efficiency of which can reach 80-85 percent and their location is possible in all climatic zones. (Conclusions) Petrothermal energy is an affordable source of thermal energy that can replace hydrocarbon fuels, nuclear energy, and low-efficiency solar and wind energy in Russia. In any small town or village that is cut off from centralized energy networks, it is possible to build a local thermal power plant that does not require the purchase of hydrocarbon fuel.

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Albadi, M. "SOLAR PV POWER INTERMITTENCY AND ITS IMPACTS ON POWER SYSTEMS – AN OVERVIEW." Journal of Engineering Research [TJER] 16, no. 2 (December 23, 2019): 142. http://dx.doi.org/10.24200/tjer.vol16iss2pp142-150.

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Although solar photovoltaic (PV) systems are environmentally friendly, policy makers and power system operators have concerns regarding the high penetration of these systems due to potential impacts of solar power intermittency on power systems. Understanding the nature of this intermittency is important to make informed decisions regarding solar power plants, size and location, transmission and distribution systems planning, as well as thermal generation units and electricity markets operations. This article presents a review of solar PV power characteristics and its impacts on power system operation.

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Hu, Yong Sheng, Qin Yan, and Yong Ping Yang. "Economic Analysis of Solar Trough, Tower and Dish Power Plants." Advanced Materials Research 805-806 (September 2013): 12–16. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.12.

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Solar thermal power system can be classified to three typical kinds, parabolic trough, tower and dish system. Trough and tower systems have been commercial operated in last few years. Solar dish power plant is also in demonstrational phase. But how to choose a fit technology road is also a different challenge. In the paper, three solar thermal power plants are analyzed, located in same location in Gansu province. Three power plants electricity loads and total investments in same capacity and collector area are calculated to analyze the economic characters by Levelised Electricity Cost (LEC) method. Finally, three power plants LEC distributions are also analyzed in the conditions of different loan interests and life span. The results indicate that the minimum LEC is tower in current market conditions. The research results can be used to support technology choice, and design optimization in specific climate condition.

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Wang, Chia-Nan, Ying-Fang Huang, Yu-Chien Chai, and Van Nguyen. "A Multi-Criteria Decision Making (MCDM) for Renewable Energy Plants Location Selection in Vietnam under a Fuzzy Environment." Applied Sciences 8, no. 11 (October 26, 2018): 2069. http://dx.doi.org/10.3390/app8112069.

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In the context of increasing energy demands in Vietnam, and as a result of the limited supply of domestic energy (oil/gas/coal reserves are exhausted), the potential for renewable energy sources in Vietnam is significant. Thus, building wind power plants in Vietnam is necessary. Access to this type of renewable energy not only contributes to society’s energy supply but also helps to save energy and reduce environmental pollution. Although some works have reviewed applications of the Multi-Criteria Decision Making (MCDM) model in wind power plant site selection, little research has focused on this problem in a fuzzy environment. This is the reason why a hybrid Fuzzy Analytic Hierarchy Process (FAHP) and The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are developed for wind power plant site selection in Vietnam. In the first stages of this research, an FAHP model is proposed for determining the weight of each potential location for building a wind power plant, based on qualitative and quantitative factors. A TOPSIS is applied for ranking all potential alternatives in the final stage. The authors collected data from seven locations, which have good conditions for investment in a wind power plant. The results indicate that Binh Thuan (Binh Thuan Province is located on coast of South Central Vietnam) is the best place for building a wind power plant in Vietnam. The contributions of this work proposed an MCDM approach under fuzzy environments for wind power plant location selection in Vietnam. This paper also resides in the evolution of a new approach that is flexible and practical for a decision-maker. This work also provides a useful guideline for wind power plant location selection in others countries.

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Levine, L., O. Olvera, R. F. Rockwell, M. E. de La Rosa, and J. Guzmán. "Nuclear power plants and natural populations of Mexican Drosophila." Genome 31, no. 1 (January 1, 1989): 256–64. http://dx.doi.org/10.1139/g89-043.

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With the worldwide proliferation of nuclear power plants has come the need to study the biological effects of the operation of the reactors on surrounding populations. We have begun a long-term study of the sibling species Drosophila melanogaster and D. simulans in the area of Laguna Verde in the state of Veracruz in Mexico. Laguna Verde, on the Gulf of Mexico about 75 km north of the city of Veracruz, is the location of the country's first nuclear power plant. This plant has not yet gone "on-line." The species have been collected from two sites, one of which is south of the reactor and is in the path of the prevailing north to south wind flow. The other collecting site is west of the plant. The species are being studied for the following: species frequency, desiccation resistance, vagility, proportion of larvae pupating, pupation height, and egg to adult survival after irradiation. To date we have noted both spatial and seasonal differences in a number of these characteristics. The information being gathered will serve as base-line data for monitoring the future operation of the nuclear power plant.Key words: Drosophila melanogaster, Drosophila simulans, species frequencies, desiccation resistance, vagility, pupation, egg to adult survival.

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Salamanca, Jacobo M., Oscar Álvarez-Silva, Aldemar Higgins, and Fernando Tadeo. "Analysis of the Intake Locations of Salinity Gradient Plants Using Hydrodynamic and Membrane Models." Water 13, no. 9 (April 21, 2021): 1133. http://dx.doi.org/10.3390/w13091133.

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The gain in net power produced by Salinity Gradient plants in river mouths due to the optimal location of water intakes is analysed in this paper. More precisely, this work focuses on stratified river mouths and the membrane-based technology of Pressure-Retarded Osmosis. A methodology for this analysis is proposed and then applied to a case study in Colombia. Temperature, salinity and water discharge data were gathered at the Magdalena river mouth to develop a hydrodynamic model that represents the salinity profile along the river channel. The net power production of a pressure-retarded osmosis plant is then estimated based on the power produced at membrane level, considering different locations for the saltwater and freshwater intakes. The most adequate locations for the intakes are then deduced by balancing higher power production (due to higher salinity differences between the water intakes) with lower pumping costs (due to shorter pumping distances from the intakes). For the case study analysed, a gain of 14% can be achieved by carefully selecting the water intakes.

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Abdulmunem, Abdulmunem R., Mohammed H. Jabal, and Muhannad Z. Khlefia. "MODELING STUDY OF PV POWER PLANTS IN DIFFERENT IRAQ’S GOVERNORATES." IRAQI JOURNAL FOR MECHANICAL AND MATERIALS ENGINEERING 18, no. 4 (January 6, 2019): 628–43. http://dx.doi.org/10.32852/iqjfmme.v18i4.233.

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The available huge amount of solar radiation in Iraq all over the year can be regarded as a useful energy source. It can be utilized to generate electrical energy using PV panel’s power plants. Therefore, it is important to recognize the behavior of these PV Panels through the year with changing in amount of the solar radiation and weather temperature. The monthly average (daily and hourly) of extraterrestrial, global, diffused, and beam radiation, with PV panel’s temperature and electrical efficiency of different tilt angle is studied in three Iraqi’s cities. The results indicated that the total radiation ranges are greater in Karbala than Samarra and Basra cities; despite of the extraterrestrial radiation in Basra higher value than Samarra and Karbala cities. The higher magnitude in the monthly average solar radiation in any city is not necessarily best location for construction PV power plant, because the electrical performance of PV panels is affected by its temperature. Rising in temperature led to drop in the PV panel’s efficiency.

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Cherkaoui, Nazha, Abdelaziz Belfqih, Faissal El Mariami, Jamal Boukherouaa, and Abdelmajid Berdai. "Optimal location and reactive power injection of wind farms and SVC’s units using voltage indices and PSO." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 3407. http://dx.doi.org/10.11591/ijece.v9i5.pp3407-3414.

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Nowadays, the use of the wind energy has known an important increase because it is clean and cheap. However, many technical issues could occur due to the integration of wind power plants into power grids. As a result, many countries have published grid code requirements that new installed wind turbines have to satisfy in order to facilitate its intergration to electrical networks. Among those requirements, the wind farms must be able to participate to ancillary services for instance voltage regulation and reactive power control. Nevertheless, in case of small wind farms having not the necessary reactive power capability to contribute to reactive power support, Flexible AC Transmission Systems (FACTS) devices could also be used to participate to reactive power support. In this paper, an optimization method based on particle swarm optimization (PSO) technique is presented. This method allows getting the optimal location and reactive power injection of both wind power plants (WPP) and synchronous var compensators (SVC) with the objective to improve the voltage profile and to minimize the active power losses. The IEEE 14 bus system and a 20 MW wind farm based doubly fed induction generator (DFIG) are used to validate the proposed algorithm. The simulation results are analysed and compared.

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Gil-García, Isabel C., M. Socorro García-Cascales, Ana Fernández-Guillamón, and Angel Molina-García. "Categorization and Analysis of Relevant Factors for Optimal Locations in Onshore and Offshore Wind Power Plants: A Taxonomic Review." Journal of Marine Science and Engineering 7, no. 11 (November 3, 2019): 391. http://dx.doi.org/10.3390/jmse7110391.

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Wind power is widely considered to be a qualified renewable, clean, ecological and inexhaustible resource that is becoming a leader in the current energy transition process. It is a mature technology solution that was quickly developed and has been massively integrated into power systems in recent years. Indeed, a remarkable number of renewable integration policies have been promoted by different governments and countries. With the aim of maximizing the power given by wind resources, the locations of both onshore and offshore wind power plants must be optimized following a sort of different criteria. Under this scenario, a number of factors and decision criteria in the evaluation and selection of locations can be identified. Moreover, the relevant wind power increasing in the power generation mix is addressed, along with a standardization of factors and decision criteria in the optimization and selection of such optimal locations. In this context, this paper describes a systematic review and meta-analysis combining most of the contributions and studies proposed during the last decade. Thus, our aim is focused on reviewing and categorizing all factors to be considered for optimal location estimation, pointing out the differences among the selected factors and the decision criteria for onshore and offshore wind power plants. In addition, our review also includes an analysis of the representative key indicators for the contributions, such as the annual frequency of publications, geographical classification, analysis by category, evaluation method and determining factors.

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Lados, Mihály, Éva Szabina Somossy, and Tamás Tóth. "Financial subsidies and the location decision of solar power plants in Hungary: An empirical investigation." Regional Statistics 10, no. 2 (2020): 166–85. http://dx.doi.org/10.15196/rs100207.

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López, P. Reche, S. García Galán, N. Ruiz Reyes, and F. Jurado. "A Method for Particle Swarm Optimization and its Application in Location of Biomass Power Plants." International Journal of Green Energy 5, no. 3 (June 11, 2008): 199–211. http://dx.doi.org/10.1080/15435070802107165.

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Zhou, Ying. "The Influence of Geographic Location on Population Exposure to Emissions From Power Plants Throughout China." Epidemiology 17, Suppl (November 2006): S32—S33. http://dx.doi.org/10.1097/00001648-200611001-00043.

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Zhou, Ying, Jonathan I. Levy, John S. Evans, and James K. Hammitt. "The influence of geographic location on population exposure to emissions from power plants throughout China." Environment International 32, no. 3 (April 2006): 365–73. http://dx.doi.org/10.1016/j.envint.2005.08.028.

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Garrone, Paola, and Angelamaria Groppi. "Siting locally-unwanted facilities: What can be learnt from the location of Italian power plants." Energy Policy 45 (June 2012): 176–86. http://dx.doi.org/10.1016/j.enpol.2012.01.070.

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Čudić, Vladica, Dragica Kisić, Dragoslava Stojiljković, and Aleksandar Jovović. "Ash From Thermal Power Plants as Secondary Raw Material." Archives of Industrial Hygiene and Toxicology 58, no. 2 (June 1, 2007): 233–38. http://dx.doi.org/10.2478/v10004-007-0014-6.

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Ash From Thermal Power Plants as Secondary Raw MaterialThe basic characteristic of thermal power plants in the Republic of Serbia is that they use low-grade brown coal (lignite) as a fuel. Depending on the location of coal mines, lignite may have different properties such as heating value, moisture, and mineral content, resulting in different residue upon combustion. Because of several million tonnes of ash and slag generated every year, their granularmetric particle size distribution, and transport and disposal methods, these plants have a negative impact on the environment. According to the waste classification system in the Republic of Serbia, ash and slag from thermal power plants are classified as hazardous waste, but with an option of usability. The proposed revision of waste legislation in Serbia brings a number of simple and modern solutions. A procedure is introduced which allows for end-of-waste criteria to be set, clarifying the point where waste ceases to be waste, and thereby introducing regulatory relief for recycled products or materials that represent low risk for the environment. The new proposal refocuses waste legislation on the environmental impacts of the generation and management of waste, taking into account the life cycle of resources, and develops new waste prevention programmes. Stakeholders, as well as the general public, should have the opportunity to participate in the drawing up of the programmes, and should have access to them.

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Wang, Chia-Nan, Van Tran Hoang Viet, Thanh Phong Ho, Van Thanh Nguyen, and Syed Tam Husain. "Optimal Site Selection for a Solar Power Plant in the Mekong Delta Region of Vietnam." Energies 13, no. 16 (August 6, 2020): 4066. http://dx.doi.org/10.3390/en13164066.

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Following the recent development trend in the struggle for cleaning the earth’s environment, solar is the one of most promising area that can partially be used as a replaceable energy from non-renewable fuel sources. As such, it plays a significant role in protecting the environment from global warming. As solar power does not emit harmful gases into the atmosphere, its production, distribution, setup, and operation are vital should the production remain constant. Even solar energy waste emissions are small; when compared to current energy sources, the amount of harmful gases is negligible. This paper presented an integrated approach for site of solar plants by using data envelopment analysis (DEA) and Fuzzy Analytical Network Process (FANP). Furthermore, these integrated methodologies, incorporated with the most relevant parameters of requirements for solar plants, are introduced. First, the paper considers an integrated hierarchical DEA and FANP model for the optimal geographical location of solar plants in Mekong Delta Region, Vietnam. Using the proposed model for implementation would allow the renewable energy policy makers to select and control the optimal location for allocating and constructing a solar energy power plant in Vietnam. This is the preferred strategy for location optimization problems associated with solar plant units in Vietnam and around the world.

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Kargashin, Paul E., Anna I. Prasolova, Boguslav A. Novakovsky, Yulia Yu Rafikova, Roman V. Gorbunov, and Tatiana Yu Gorbunova. "Data processing as a critical part of GIS based mapping of renewable energy perspectives." MATEC Web of Conferences 178 (2018): 09004. http://dx.doi.org/10.1051/matecconf/201817809004.

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Estimation of optimal location for power plants using renewable energy sources requires big data processing and consideration lots of factors. It is suggested to use geographical information systems based approach to simplify workflow. The result of investigation is a series of maps divided into 2 groups: estimation of natural resources for renewable energy, and evaluation of limitations caused with socioeconomic policy. These maps help us to outline the most suitable as well as restricted places for perspective power plants.

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Swarnkar, Radhika, and Harikrishnan R. "Statistical Analysis Based Survey of Indian Renewable Energy Scenario." International Journal of Sustainable Development and Planning 16, no. 2 (April 23, 2021): 379–84. http://dx.doi.org/10.18280/ijsdp.160218.

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Renewable energy is a solution for electricity generation for cleaner and green energy. The aim of this paper is to find the energy potential of India in terms of sources, per-capita energy consumption and the main potential consumers. Comparing consumption of fossil fuels and Renewable energy sources (RES) of India in 2019 and 2020 and finally to find whether there is any change in energy generation of two solar power plants in different geographical location of India with the help of independent t-test statistics. In this paper two statistical analysis are proposed. One is the statistical analysis of installed capacity, generation and consumption of fossil fuels and renewable energy in India. Other one is the statistical analysis of two solar power plants located at different geographical locations in India. From the statistical analysis it is found that, installed capacity of coal, RES and hydro is increased in 2020 as compared to 2019. Total demand in January 2020 is 2,77,140.33 MW whereas total installed capacity is 3,71,126 MW, this means that installed capacity is more but are not in running condition. From the statistical analysis of two independent solar power plants it is found that solar power plant-1 generates more energy but with high conversion loss hence poor efficiency.

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Akkas, Ozge Pinar, Mustafa Yasin Erten, Ertugrul Cam, and Nihat Inanc. "Optimal Site Selection for a Solar Power Plant in the Central Anatolian Region of Turkey." International Journal of Photoenergy 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/7452715.

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Primary energy sources are running out due to the increase in electrical energy consumption. Environmental problems caused by primary energy sources are also increasing. Using more renewable energy resources (RES) can be considered as one of the most powerful solutions to address these problems. Today, required photovoltaic power systems (PVPS) and wind energy systems (WES) are widely used as RES for addressing these problems. Because of their high costs, feasibility studies are required for locating large systems associated with these resources. In this study, various suggestions are determined about location selection, which is an important stage in the PVPS’s establishment. Hence, the criteria for selecting the appropriate location are analyzed by the multicriteria decision making (MCDM) methods and the results are evaluated for 5 cities in the Central Anatolian Region of Turkey. In conclusion, it is determined which city is the most suitable place for installation of solar power plants.

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Journal articles on the topic 'Power-plants – Location'

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