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Journal articles on the topic 'Energy resources'

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1

Kohli, Anil Kumar. "Study of Management of Energy Resources Towards Energy Sustainability." Paripex - Indian Journal Of Research 2, no. 2 (January 15, 2012): 177–78. http://dx.doi.org/10.15373/22501991/feb2013/63.

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2

Prajapati, Dhaval M. "Converting Plastic to Useful Energy Resources." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 433–38. http://dx.doi.org/10.31142/ijtsrd15861.

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3

Savitha C, Savitha C., and Dr S. Mahendrakumar Dr. S. Mahendrakumar. "Management of Renewable Energy Resources in India." International Journal of Scientific Research 2, no. 11 (June 1, 2012): 121–24. http://dx.doi.org/10.15373/22778179/nov2013/40.

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4

Clerici, A., and G. Alimonti. "World energy resources." EPJ Web of Conferences 98 (2015): 01001. http://dx.doi.org/10.1051/epjconf/20159801001.

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5

Dorian, James P., and Allen L. Clark. "China's energy resources." Energy Policy 15, no. 1 (February 1987): 73–90. http://dx.doi.org/10.1016/0301-4215(87)90046-2.

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6

Ptasinski, Krzysztof J. "Renewable Energy Resources." Energy 89 (September 2015): 1101–2. http://dx.doi.org/10.1016/j.energy.2015.06.091.

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7

Wilson, M. R. "Renewable energy resources." Journal of Mechanical Working Technology 16, no. 1 (February 1988): 96–97. http://dx.doi.org/10.1016/0378-3804(88)90145-3.

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8

Katutsi, Vincent, Milly Kaddu, Adella Grace Migisha, Muhumuza Ezra Rubanda, and Muyiwa S. Adaramola. "Overview of hydropower resources and development in Uganda." AIMS Energy 9, no. 6 (2021): 1299–320. http://dx.doi.org/10.3934/energy.2021060.

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<abstract> <p>Even though hydropower plants are currently the most dominant source of electricity in Uganda, the rate of development of these resources for power generation remains low. Using a semi-systematic review approach, this paper seeks to understand why there is a slow rate of hydropower development in Uganda (challenges) and thereby provide potential solutions to these challenges. With current total capacity of about 1011 MW, findings indicate that there is a higher future prospect for hydropower generation in Uganda, with an estimated potential of over 4500 MW. In terms of number of projects, small-scale hydropower plants dominate power plants in Uganda, currently accounting for 19 out of 35 grid-connected power plants. However, with 855 MW installation capacity, large hydropower plants dominate the power generation plants landscape in Uganda. This study found that the challenges to hydropower development in this country are multi-dimensional including technical, economic, environmental, and social factors, and shows that the cross-cutting challenge is lack of human capacity that possess adequate skills to handle hydropower projects in the country. Furthermore, this study discussed practical solutions to address the identified problems facing hydro power in Uganda.</p> </abstract>
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9

Alqurashi, Amru. "Economic and Environmental Impacts of Distributed Energy Resources." Journal of Clean Energy Technologies 9, no. 2 (April 2021): 28–32. http://dx.doi.org/10.18178/jocet.2021.9.2.527.

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The current power system suffers from inherent inefficiencies and transmission line congestion due to the spatial split between power generation and end usage. This potentially introduces shortcomings in meeting load demands, grid liability, renewable portfolio standards, and environmental considerations such as carbon emission reduction targets. The economic and technical viability of distributed energy resource (DER) technologies may accelerate the transition to more sustainable energy production. This paper investigates the economic and environmental benefits of DERs compared to utility prices and emissions for residential dwellings using the Distributed Energy Resources Customer Adoption Model (DER-CAM). The results show a tradeoff between the CO2 emissions and electricity costs, but improvements over purchasing the electricity.
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10

Heshmati, Almas, Shahrouz Abolhosseini, and Masoomeh Rashidghalam. "Energy security and competition over energy resources in Iran and Caucasus region." AIMS Energy 5, no. 2 (2017): 224–38. http://dx.doi.org/10.3934/energy.2017.2.224.

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11

Bernecker, Thomas, Barry Bradshaw, Jeremy Iwanec, Keith Bradey, Ryan Owens, Andrew Feitz, Aleksandra Kalinowski, and Lidena Carr. "Australia’s Future Energy Resources project: the untapped potential of onshore low carbon energy resources." Australian Energy Producers Journal 64, no. 2 (May 16, 2024): S325—S331. http://dx.doi.org/10.1071/ep23059.

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The ‘Australia’s Future Energy Resources’ (AFER) project, funded under the Government’s ‘Exploring for the Future’ (EFTF) program has been completed. The project’s four modules have evaluated a mixture of energy resource commodities, including natural gas, hydrogen, subsurface storage opportunities for carbon dioxide and hydrogen. They are complemented by several targeted basin inventories which outline the current geological knowledge of energy resources in underexplored, data-poor regions. Several publicly available data sets have been generated and published under the AFER project, including 3750 line-km of reprocessed 2D seismic data, acquired in the Pedirka and western Eromanga basins, of which key lines have been interpreted and integrated with geological and petrophysical well log data. Relative prospectivity maps have been produced for five energy resource commodities from 14 play intervals to show the qualitative variability in prospectivity of these resources, including quantitative resource assessments where warranted. Results from the AFER project have helped to identify and geologically characterise the required energy resource commodities to accelerate Australia’s path to net zero emissions.
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12

Narváez, Félix Antonio Solórzano, and Edgar Iván Moreno Castro. "Energy planning with renewable energy sources." International journal of physical sciences and engineering 5, no. 3 (December 31, 2021): 44–51. http://dx.doi.org/10.53730/ijpse.v5n3.2941.

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The urban energy model is based on imports from external sources. The continuous increase in energy demand due to population growth and development implies increasing resource requirements. The alternative is to use renewable energies that take advantage of urban resources. The diversity of typologies of cities in terms of resources, demands, architectural conditions, infrastructure, or density, makes a specific analysis necessary. This work identifies fourteen factors concerning the planning process that would allow choosing the most appropriate technology for a given city. Through consultation of experts, the existence of the resource is defined as the most prevalent factor, followed by economic conditions; On the other hand, it is detected that environmental aspects such as global warming, eutrophication, or acidification, are the least incidents when selecting technologies.
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13

Gill, Amandeep, Pushpendra Singh, Jalpa H. Jobanputra, and Mohan Lal Kolhe. "Placement analysis of combined renewable and conventional distributed energy resources within a radial distribution network." AIMS Energy 10, no. 6 (2022): 1216–29. http://dx.doi.org/10.3934/energy.2022057.

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<abstract> <p>System islanding, relay tripping, and reverse power flow-like issues in the distribution network are all caused by randomly placed distributed energy resources. To minimize such problems, distributed energy resource (DER) optimal placement in the radial distribution network (RDN) is essential to reduce power loss and enhance the voltage profile. When placing DERs, consideration of constraints like size, location, number, type, and power factor (PF) should be considered. For optimal placement, renewable and nonrenewable DERs are considered. The effects of different types and PFs of DER placements have been tested on the IEEE 33 bus RDN to satisfy all limitations. Using various intelligent techniques, distributed energy resource units of optimal type, PF, size, quantity, and position were placed in the IEEE 33 bus RDN. These intelligent strategies for minimizing power loss, enhancing the voltage profile, and increasing the convergence rate are based on an adaptive neuro-fuzzy inference system, a genetic algorithm, and enhanced particle swarm optimization.</p> </abstract>
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14

Ezugwu, C. N. "Renewable Energy Resources in Nigeria: Sources, Problems and Prospects." Journal of Clean Energy Technologies 3, no. 1 (2015): 68–71. http://dx.doi.org/10.7763/jocet.2015.v3.171.

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15

Bansal, Manoj. "Optimization Modelling for Renewable Energy Resources based Distribution Generation." Revista Gestão Inovação e Tecnologias 11, no. 3 (June 30, 2021): 1510–19. http://dx.doi.org/10.47059/revistageintec.v11i3.2027.

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16

Jatautas, Jaunius, and Andrius Stasiukynas. "Analysis of the Lithuanian renewable energy resources legal framework." Problems and Perspectives in Management 14, no. 3 (July 29, 2016): 31–45. http://dx.doi.org/10.21511/ppm.14(3).2016.03.

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Effective development of the legal framework promotes the production of energy from renewable energy sources (RES) that provide an alternative to fossil fuel energy and environmental protection. According to these provisions, the article performs content analysis of the Lithuanian RES legal framework and discloses regulatory grounds and barriers to RES development
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17

Nerubatskyi, V. P., and D. A. Hordiienko. "CONCEPTUAL MODEL OF A MICRONЕTWОRK WITH DISTRIBUTED ENERGY RESOURCES." Praci Institutu elektrodinamiki Nacionalanoi akademii nauk Ukraini 2023, no. 66 (December 4, 2023): 16–20. http://dx.doi.org/10.15407/publishing2023.66.016.

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Mіcrоnеtwоrk configurations are considered regarding the form of electricity transmission and distribution. The structures of connected units of dіstrіbutеd еnеrgy rеsоurcеs under different operating modes are described, in which special attention is paid to the primary control elements of dіstrіbutеd еnеrgy rеsоurcеs units for the instantaneous balance of active and reactive power, as well as to dispatch control architectures for long-term energy management. The characteristics of static and dynamic load are studied, the simulation of which is carried out by building physical models of typical loads. The parameters of the system of instantaneous balances of active and reactive power in mіcrоnеtwоrks determined by instantaneous load tracking and load distribution between blocks of distributed energy resources are obtained. The circuit of resistive active filtering of blocks of distributed energy resources for active compensation of distorted loads is given. The presented method effectively suppresses harmonic voltage distortions at the output of blocks of dіstrіbutеd еnеrgy rеsоurcеs. Ref. 10, fig. 2. Keywords: mіcrоnеtwоrk, еlеctrіcіty cоnvеrtеr, dіstrіbutеd еnеrgy rеsоurcе, lоаd dіstrіbutіоn, cоntrоl systеm.
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18

TAKATSUJI, Masamoto. "Sustainability of Energy Resources." Shokubutsu Kojo Gakkaishi 6, no. 1 (1994): 27–37. http://dx.doi.org/10.2525/jshita.6.27.

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19

Stahl, James F., Bob Hill, Alan W. Manning, and Mario Iacoboni. "EFFECTIVELY MANAGING ENERGY RESOURCES." Proceedings of the Water Environment Federation 2001, no. 13 (January 1, 2001): 206–25. http://dx.doi.org/10.2175/193864701790864061.

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20

Alahmed, Ahmed S., and Lang Tong. "Integrating distributed energy resources." ACM SIGEnergy Energy Informatics Review 2, no. 2 (June 2022): 13–31. http://dx.doi.org/10.1145/3555006.3555008.

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The rapid growth of the behind-the-meter (BTM) distributed generation has led to initiatives to reform the net energy metering (NEM) policies to address pressing concerns of rising electricity bills, fairness of cost allocation, and the long-term growth of distributed energy resources. This article presents an analytical framework for the optimal prosumer consumption decision using an inclusive NEM X tariff model that covers existing and proposed NEM tariff designs. The structure of the optimal consumption policy lends itself to near closed-form optimal solutions suitable for practical energy management systems that are responsive to stochastic BTM generation and dynamic pricing. The short and long-run performance of NEM and feed-in tariffs (FiT) are considered under a sequential rate-setting decision process. Also presented are numerical results that characterize social welfare distributions, cross-subsidies, and long-run solar adoption performance for selected NEM and FiT policy designs.
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21

Faria, Pedro. "Distributed Energy Resources Management." Energies 12, no. 3 (February 11, 2019): 550. http://dx.doi.org/10.3390/en12030550.

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22

Albinsson, Bo, and Axel Olesund. "Untapping solar energy resources." Nature Photonics 14, no. 9 (August 25, 2020): 528–30. http://dx.doi.org/10.1038/s41566-020-0681-2.

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23

Hammons, T. J. "Remote Renewable Energy Resources." IEEE Power Engineering Review 12, no. 6 (June 1992): 3. http://dx.doi.org/10.1109/mper.1992.138939.

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24

Carriveau, Rupp, and David S. K. Ting. "Energy and Natural Resources." International Journal of Environmental Studies 75, no. 1 (January 2, 2018): 1–2. http://dx.doi.org/10.1080/00207233.2018.1406708.

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25

Demirbaş, Ayhan. "Global Renewable Energy Resources." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 28, no. 8 (July 2006): 779–92. http://dx.doi.org/10.1080/00908310600718742.

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26

Gilliland, Martha W., and Bing Chen. "Non-conventional energy resources." Resources and Conservation 11, no. 3-4 (March 1985): 283–85. http://dx.doi.org/10.1016/0166-3097(85)90008-2.

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27

Stefanovic, Slobodan, Vladan Vucic, Dragoslav Ilic, and Radoje Cvejic. "Management of energy resources." Journal of Process Management. New Technologies 1, no. 3 (2013): 15–23. http://dx.doi.org/10.5937/jpmnt1303015s.

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28

Kim, Jeong-Uk. "A study on the lighting control system as a demand resources." Journal of Energy Engineering 24, no. 3 (September 30, 2015): 115–21. http://dx.doi.org/10.5855/energy.2015.24.3.115.

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29

Talwariya, Akash, Pushpendra Singh, Mohan Lal Kolhe, and Jalpa H. Jobanputra. "Fuzzy logic controller and game theory based distributed energy resources allocation." AIMS Energy 8, no. 3 (2020): 474–92. http://dx.doi.org/10.3934/energy.2020.3.474.

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30

Zhan, Tung-Sheng, Chun-Lien Su, Yih-Der Lee, Jheng-Lun Jiang, and Jin-Ting Yu. "Adaptive OCR coordination in distribution system with distributed energy resources contribution." AIMS Energy 11, no. 6 (2023): 1278–305. http://dx.doi.org/10.3934/energy.2023058.

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<abstract> <p>More and more distributed energy resources (DERs) are being added to the medium-voltage (MV) or low-voltage (LV) radial distribution networks (RDNs). These distributed power sources will cause the redistribution of power flow and fault current, bringing new challenges to the coordination of power system protection. An adaptive protection coordination strategy is proposed in this paper. It will trace the connectivity of the system structure to determine the set of relay numbers as a tracking path. According to the topology of the system structure, the tracking path can be divided into two categories: the main feeder path and the branch path. The time multiplier setting (TMS) of each relay can be used to evaluate the operation time of the over-current relay (OCR), and the operation time of the relay can be used to evaluate the fitness of the TMS setting combination. Furthermore, the relay protection coordination problem can be modeled to minimize the accumulated summation of all primary and backup relay operation time (OT) subject to the coordination time interval (CTI) limitation. A modified particle swarm optimization (MPSO) algorithm with adaptive self-cognition and society operation scheme (ASSOS) was proposed and utilized to determine TMS for each relay on the tracking path. A 16-bus test MV system with distributed generators (DGs) will be applied to test the adaptive protection coordination approach proposed in this paper. The results show that the proposed MPSO algorithm reduces the overall OT and relieves the impact on protection coordination settings after DG joins the system. The paper also tests and compares the proposed MPSO with other metaheuristic intelligence-based random search algorithms to prove that MPSO possesses with increased efficiency and performance.</p> </abstract>
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31

Vinokurova, Anastasia E. "UNDERSTANDING AND CORRELATION OF THE TERMS «ENERGY RESOURCES», «NATURAL RESOURCES», «MINERAL RESOURCES» AND «MINERALS» IN NATIONAL AND FOREIGN LAW." SCIENTIFIC REVIEW. SERIES 1. ECONOMICS AND LAW, no. 1-2 (2020): 261–73. http://dx.doi.org/10.26653/2076-4650-2020-1-2-21.

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The article examines the correlation between the terms «energy resources», «natural resources», «mineral resources» and «minerals» in Russian and foreign law. The importance of distinguishing the concepts of «energy resources» and «natural resources» is emphasized. Their legal regulation in fuel and energy complex has a comprehensive nature as it shall be executed in compliance with the legal provisions of environmental, energy and other related legislation. It turns out that there is no clear answer to the objective question whether certain «energy resources» can be classified as «natural resources» in the legislation of the Russian Federation. In this regard, the issue of determining the legal status of energy resources arises. To address the problem, in legal doctrine the pattern was identified. In accordance with it, it is necessary to confirm the fact of anthropogenic impact on a natural resource aiming at considering that resource as an energy resource. This means natural resources used as energy sources for economic activities by industry entities are converted into energy resources (energy carriers or certain types of energy) as a result of their implementation. It is noted that in this process, the removal of natural resources from the natural environment can be carried out or not. The article presents the norms of the Constitution of the Russian Federation and Federal Russian legislation, which apply and, in some cases, give the meaning of the terms «energy resources», «natural resources», «mineral resources» and «minerals». With a view to improving the Russian legislation, the author proposes to eliminate the existing legal uncertainty by applying such legal techniques as concretization and definition as follows: distinguish between the concepts of «natural resources» and «energy resources», adding the words «non-energy» or «energy» to the concept of «natural resources». This approach is completely new for Russian legal science, since it is borrowed from foreign law.
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32

Zhang, Bin, and Yi Liu. "Distributed Resource Allocation for Green HetNets with Renewable Energy Resources." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 08 (March 29, 2021): 2159029. http://dx.doi.org/10.1142/s0218001421590291.

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In fifth generation (5G) systems, green heterogeneous network (HetNet) is capable of achieving energy efficiency by densely deploying renewable-powered small cells. However, the small cells may suffer performance degradation due to the limited backhaul from macro base station (BS) and renewable intermittency. In this paper, we introduce a distributed HetNet architecture in which the renewable-powered small cell BSs collaboratively exchange information and allocate the spectrum and power resources by themselves. Considering the uncertainty of the available spectrum, renewable energy supply and traffic loads, a stochastic optimization problem is formulated to maximize the energy efficiency for distributed small cell BSs. A distributed resource allocation algorithm is proposed to obtain the optimal spectrum and power allocating strategies for each small cell. Finally, the numerical results demonstrate the effectiveness of the proposed algorithm.
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33

Hussain, M. "Bangladesh energy resources and renewable energy prospects." Energy 12, no. 5 (May 1987): 369–74. http://dx.doi.org/10.1016/0360-5442(87)90106-x.

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34

O'Callaghan, Paul W. "Energy resources, CO2 production and energy conservation." Applied Energy 44, no. 2 (January 1993): 65–91. http://dx.doi.org/10.1016/0306-2619(93)90055-t.

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35

IKENAGA, Masaru. "Saving Energy and Resources on Surface Treatment. Saving Energy and Resource in Dry Plating." Journal of the Surface Finishing Society of Japan 46, no. 2 (1995): 105–11. http://dx.doi.org/10.4139/sfj.46.105.

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36

AOKI, RETSU. "Consider Global Problems Energy. Resources of Energy. Nuclear Energy." Journal of the Institute of Electrical Engineers of Japan 115, no. 10 (1995): 633–34. http://dx.doi.org/10.1541/ieejjournal.115.633.

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37

KAMIMOTO, MASAYUKI. "Consider Global Problems Energy. Resources of Energy. Renewable Energy." Journal of the Institute of Electrical Engineers of Japan 115, no. 10 (1995): 637–38. http://dx.doi.org/10.1541/ieejjournal.115.637.

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38

YAMAMOTO, TAKAHIKO. "Consider Global Problems Energy. Resources of Energy. Energy Storage." Journal of the Institute of Electrical Engineers of Japan 115, no. 10 (1995): 639–40. http://dx.doi.org/10.1541/ieejjournal.115.639.

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39

Hermanto, Agus. "Modeling of geothermal energy policy and its implications on geothermal energy outcomes in Indonesia." International Journal of Energy Sector Management 12, no. 3 (September 3, 2018): 449–67. http://dx.doi.org/10.1108/ijesm-11-2017-0011.

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Purpose This study aims to improve the performance of geothermal energy. Therefore, this research requires a deep examination of the determinant factors that affect the performance of geothermal energy; the results of this study are expected to increase the outcomes that can be enjoyed by the people of Indonesia. Design/methodology/approach This research uses quantitative approach. Data are obtained via questionnaires. The population in this study is all stakeholders of the national geothermal energy policy throughout the region. The stakeholders in question are the Community Care for Energy and the Environment (MPEL), using a sample of 400 respondents. The variables used were human resource capacity (X1), political resource capacity (X2), economic resource capacity (X3), social resource capacity (X4), performance of geothermal energy policy (Y1) and geothermal energy policy outcomes (Y2). Data analysis used to solve hypothetical model built in this research is partial least square. Findings While human resource, political resource, economic resource and social resource capacities affect the performance of geothermal energy policy, those capacities directly affect the performance of geothermal energy policies. On the other hand, the results of the indirect effect test show that with the mediation of good geothermal energy policy, it will be seen that the effect of human resource capacity, political resource capacity, capacity of economic resources and the capacity of social resources to the utilization of geothermal energy. The utilization of geothermal energy cannot be directly felt by the community without the support of the formulation of geothermal energy policy or unless it is supported by high human resources, political resources, economic resource and social resource capacities. Originality/value No previous research has comprehensively examined the effect of human resource, political resource, economic resource and social resource capacities on geothermal energy policy and its implications for the outcomes of geothermal energy policy.
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Alekperov, Gourban. "Energy Resources of the Caspian Region and the Significance of Turkey for Europe’s Energy Security." Connections: The Quarterly Journal 03, no. 3 (2004): 115–23. http://dx.doi.org/10.11610/connections.03.3.11.

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41

Pan, Pan, Wan Long Gu, and Ye Yu Zhu. "Wind Energy Resource Assessment of Henan Province." Advanced Materials Research 953-954 (June 2014): 462–66. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.462.

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With the observation data of the whole year from November 2012 to October 2013 and results of numerical simulation, we do some research on the wind energy resources of Henan Province. Variation of wind energy resources is generally better in winter and spring, poor in summer and autumn. Diurnal variation of wind resources across different, but most good wind resource areas are located at higher elevations, and wind resource is generally better at daytime than night. Wind resources of Henan province is relatively limited, which can be technology developed are located in hills area and the mountain highlands of northern, central, western and southern part. Better resources are mainly located on hilltop and ridge.
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42

Kovan, S. E. "THE RESOURCE AND ENERGY MODEL OF SOCIO-ECONOMIC SYSTEMS." Strategic decisions and risk management, no. 5 (November 2, 2014): 70–77. http://dx.doi.org/10.17747/2078-8886-2011-5-70-77.

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A model of resource and energy exchange of socio-economic systems (SES) to higher-level systems, which are external environment for them, has developed in this paper. The transformation of matter-and-energy resources in these systems includes processing resources of the external environment in output products, as well as the diversion of part of the resources for the development of the system. The resource balance and the overall scheme of resource exchange of SES with the external environment have built in this paper. Preconditions for the crisis arise in case of violation of balance of resources allocated for the holding of the production process and for the development of systems. Author also defined resource causes of crises socio-economic systems and determined that ensuring the balance between the available domestic material and energy resources, external resources attracted by SES, as well as the resources, that are being diverted to development, is the basic goals of crisis management of SES of any level.
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Novico, Franto, Evi Hadrijantie Sudjono, Andi Egon, David Menier, Manoj Methew, and Munawir Bintang Pratama. "Tidal Current Energy Resources Assessment in the Patinti Strait, Indonesia." International Journal of Renewable Energy Development 10, no. 3 (February 24, 2021): 517–25. http://dx.doi.org/10.14710/ijred.2021.35003.

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Indonesia is currently intensively developing its renewable energy resource and targets at least 23% by 2025. As an archipelago country, Indonesia has the potential to benefit from its abundant renewable energy resources from its offshore regions. However, the short tidal range of mixed semi-diurnal and the suitable tidal turbine capacity may hinder marine renewable energy development in Indonesian waters. This paper presents higher-order hydrodynamic numerical models to provide spatial information for tidal current resource assessment of the Patinti Strait. The present study applied the hydrographic and oceanographic method to produce input of the numerical model. Based on the selected simulation analysis, the highest current speed could be identified around Sabatang and Saleh Kecil Island with up to 2.5 m/s in P1 and 1.7 m/s in P4. Besides, the operational hours for the two observation points are 69% and 74.5%, respectively. The results indicate that this location is of prime interest for tidal turbine implementation as an energy source, for medium capacity (300 kW) and high capacity (1 MW).
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Trung, Tran Thai, Seon-Ju Ahn, and Joon-Ho Choi. "Real Time Simulation of Distribution System with Distributed Energy Resources." Journal of Clean Energy Technologies 3, no. 1 (2015): 57–61. http://dx.doi.org/10.7763/jocet.2015.v3.169.

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Kozlov, Igor, Vyacheslav Kovalchuk, Oleksandr Klymchuk, Olga Dorozh, Alexandr Sigal, Inna Aksyonova, and Yuriy Elkin. "Assessing the region's energy provision." Eastern-European Journal of Enterprise Technologies 2, no. 8 (116) (April 30, 2022): 13–20. http://dx.doi.org/10.15587/1729-4061.2022.255740.

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This paper considers the task of ensuring the energy and environmental security of regions under the conditions of shortage of traditional energy resources. The method of expert assessments has been applied to justify the choice of types of acceptable energy resources that provide an increase in the relative energy supply of the territories of the regions. A list of factors from 6 groups has been devised and compiled that includes 27 indicators characterizing the technological, environmental, and other consumer characteristics of energy resources available for use. The maximum and minimum values of the indicator scores, the permissible intervals for their change, and the weighting coefficients that assess the importance of the indicator in the list have been determined. The method of expert assessments is supplemented by a random number generator for the formation of an information field on the values of the characteristics of energy resources and statistical processing of data on acceptable energy resources under the conditions of the considered regions. A quantitative comparative analysis of available energy resources and technologies based on them was carried out. It is proposed to use the acceptability index and the environmental conservation index as a criterion for the preference of a resource. Index values equal to or greater than 1 indicate resource preference. It is shown that for the base region under consideration, such resources are nuclear, solar, wind, and hydropower. The method of expert assessments makes it possible to get an objective idea of the acceptability of using a certain energy resource to ensure energy security, taking into consideration its environmental impact in a particular region of the country. A quantitative comparative analysis of the state of the existing structure of energy resources in the region and their availability has been carried out. To conduct a comparative analysis of acceptability by indicators and types of resources, a graphical and analytical methodology was used. The reliability of the results obtained was assessed using a concordance coefficient. The results could be useful for devising projects for the development and ensuring the energy security of the regions in the context of reforms
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46

Jain, Nirupa. "Energy Crisis, Resource Scarcity, and Innovations in Biofuels." Journal of Advanced Research in Alternative Energy, Environment and Ecology 07, no. 02 (June 19, 2020): 4–7. http://dx.doi.org/10.24321/2455.3093.202007.

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Natural resources are scarce and there is a need to explore new resources to meet the rising demand for energy. There is also a need to meet sustainable development goals through proper planning and strategy. Fossil fuel has a finite supply and there will be a huge gap between demand and supply due to rising demand. There is a need to develop biofuel to replace fossil fuel. This paper gives a discussion about current issues and future directions in these sectors.
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47

AM, Penjiyev. "Impact of Renewable Energy Sources on Climate Change." Journal of Energy and Environmental Science 1, no. 1 (November 14, 2023): 1–5. http://dx.doi.org/10.23880/jeesc-16000102.

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Based on the analytical analysis of the eco-energy resource potentials of renewable energy sources and climate change, the potential for mitigation and costs, the strategy of Turkmenistan on climate change, energy demand and the greenhouse effect, options for reducing emissions, a heterogeneous class of renewable technologies (solar, wind, bioenergy, geothermal and hydropower). Research to date suggests that climate change is not expected to significantly affect the global technical potential for wind energy development, but changes in the regional distribution of wind energy resources can be expected. Climate change is not expected to have a significant impact on the amount or geographic distribution of geothermal or ocean and marine energy resources.
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Аgarkov, Sergey, Sergey Kozmenko, Аnton Saveliev, and Аnna Тeslya. "Management of energy distribution and development of Arctic energy resources." E3S Web of Conferences 110 (2019): 02050. http://dx.doi.org/10.1051/e3sconf/201911002050.

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The study is aimed at the issued of environmental planning and management of energy resource extraction in the Russian Arctic Zone. The paper presents a systematic overview of the factors currently hindering comprehensive analysis of the consequences of intensified industrial development of energy resources, and consequently, effective managerial decision-making counteracting negative environmental impacts in the Russian Arctic. The environmental safety of oil and gas facilities on the shelf greatly depends on a system for continuous environmental monitoring, which allows developing measures to reduce environmental risks. There were formulated the main provisions of environmental monitoring as an element of the environmental planning system for facilitating effective managerial decision-making in industrial development of Arctic energy resources.
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Sharma, Monica, and Sanjana Das. "Energy and Resource Security: Some Insights." Energy Economics Letters 8, no. 2 (December 7, 2021): 145–55. http://dx.doi.org/10.18488/journal.82.2021.82.145.155.

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The import-export paradox emerges when countries, despite being rich in resources, are not willing to use their resources and in turn import them from other countries thus, depleting the other countries’ resources. As a case study, the mining sector in India provides evidence of the import-export paradox as despite being rich in minerals, India imports three times its own production of the same. The growing global demand of energy only puts more stress on this issue and thus it is crucial to address this paradox in order to achieve energy and resource security. One of the ways for doing this could be by establishing a resource bank that treats resources as capital and by doing so it ensures that the resources being used are also being replenished. Steps can also be taken at G20 level to develop a cooperative framework to address the same. At the Indian level, initiatives such as the International Solar Alliance can be strengthened by increased allocation of finances in order to build greater capacities.
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50

Polyanska, Alla, Yuliya Pazynich, Khrystyna Mykhailyshyn, Dmytro Babets, and Piotr Toś. "ASPECTS OF ENERGY EFFICIENCY MANAGEMENT FOR RATIONAL ENERGY RESOURCE UTILIZATION." Rudarsko-geološko-naftni zbornik 39, no. 3 (2024): 13–26. http://dx.doi.org/10.17794/rgn.2024.3.2.

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This study delves into the multifaceted landscape of energy efficiency management with the objective of rationalizing the utilization of energy resources. The article considers a methodical approach to the study of the level of energy intensity of economic activity, covering levels of management, from the macro level to the level of an individual enterprise. In general, it is advisable to supplement the proposed approach with existing methods that extend the content to the results of energy efficiency research. Using the Life Cycle Assessment (LCA) method and other methodologies, we explore various dimensions of energy resource utilization and the scale of energy efficiency management across different stages of the lifecycle. Additionally, the study introduces levels of energy efficiency management developed by the authors, providing a structured framework for optimizing energy use. Through rigorous analysis, we evaluate the environmental impacts, energy consumption patterns, and efficiency levels associated with diverse energy management strategies. Our findings illuminate key areas for improvement and optimization in energy utilization practices, offering insight beneficial for policymakers, industry stakeholders, and environmental advocates alike. By leveraging the comprehensive framework of LCA alongside the developed levels of energy efficiency management, this research contributes to a nuanced understanding of energy efficiency management, thereby facilitating informed decision-making towards sustainable energy utilization pathways. Examining the example of building the life cycle of gas production and highlighting the main stages of its transformation from a raw resource to a finished product for consumption allows for the consideration of the entire chain of creation of the added value of this energy resource and enables control of the level of its influence on the results of the activities of economic units involved in this chain, as well as the consequences of their impact on the environment. This allows us to conclude that the approach discussed in the article can be used both for researching the energy efficiency of individual enterprises, as well as their associations, industries, and the economy in general.
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