Thematische Bibliographien / Electricity network peak demands

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Auswahl der wissenschaftlichen Literatur zum Thema „Electricity network peak demands“

Autor: Grafiati

Veröffentlicht am 20. Dezember 2024

Zuletzt aktualisiert am 31. Juli 2025

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Zeitschriftenartikel zum Thema "Electricity network peak demands"

Marwan, Marwan, and Pirman Pirman. "Mitigating Electricity a Price Spike under Pre-Cooling Method." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (2016): 1281. http://dx.doi.org/10.11591/ijece.v6i3.9597.

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The growing demand for air-conditioning is one of the largest contributors to Australia overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop a consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The proposed model allows consumers to independently and proactively manage air conditioning peak electricity demand. The main contribution of this research is how to show consumers can mitigate peak demands by opti

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Rokamwar, Kaustubh. "Feed- Forward Neural Network based Day Ahead Nodal Pricing." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1029–33. http://dx.doi.org/10.22214/ijraset.2021.36352.

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An electricity locational marginal pricing prediction normally recognized by 24-hour day-ahead nodal price forecast. In this paper first collected all physical and technical data i.e. availability of generation and their cost characteristics, real and reactive demands at various buses, transmission capacity availability at various conditions like peak and off-peak conditions. All these input data are used as input for computation of optimal power flow. The nodal prices are calculated with AC-DC optimal power flow methodology for IEEE 30 bus system. The resulted optimal real electricity bus vol

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Kim, Hyunsoo, Jiseok Jeong, and Changwan Kim. "Daily Peak-Electricity-Demand Forecasting Based on Residual Long Short-Term Network." Mathematics 10, no. 23 (2022): 4486. http://dx.doi.org/10.3390/math10234486.

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Forecasting the electricity demand of buildings is a key step in preventing a high concentration of electricity demand and optimizing the operation of national power systems. Recently, the overall performance of electricity-demand forecasting has been improved through the application of long short-term memory (LSTM) networks, which are well-suited to processing time-series data. However, previous studies have focused on improving the accuracy in forecasting only overall electricity demand, but not peak demand. Therefore, this study proposes adding residual learning to the LSTM approach to impr

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Ifaei, P., J. K. Park, T. Y. Woo, C. H. Jeong, and C. K. Yoo. "Leveraging media for demand control in an optimal network of renewable microgrids with hydrogen facilities in South Korea." IOP Conference Series: Earth and Environmental Science 1372, no. 1 (2024): 012005. http://dx.doi.org/10.1088/1755-1315/1372/1/012005.

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Abstract In pursuit of a sustainable 2030 strategy in the Republic of Korea, this study addresses the oversight in recent optimal renewable energy microgrid designs, which, despite encompassing all feasible renewable sources, neglected the pivotal role of hydrogen as an energy carrier. This research explores the feasibility of reprogramming media platforms to dynamically shape energy consumption during peak intervals. It further proposes the retrofitting of microgrids with industrial hydrogen production and storage facilities, aligning with controlled electricity demand. A comprehensive social

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Gupta, Rajat, and Sahar Zahiri. "Examining daily electricity demand and indoor temperature profiles in UK social housing flats retrofitted with heat pumps." IOP Conference Series: Earth and Environmental Science 1363, no. 1 (2024): 012093. http://dx.doi.org/10.1088/1755-1315/1363/1/012093.

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Abstract The UK Government has announced decarbonisation of domestic heating thorough low carbon heat pumps. This will result in the deployment of 5 million heat pumps by 2030, and over 25 million by 2050, thereby increasing seasonal and daily peak electricity demand and putting a strain on local electricity networks. Despite this, there is limited evidence on the impact of heat pump operation on daily electricity demand profiles. This paper empirically examines the impact of retrofitted ground source heat pump (GSHP) on daily electricity demand of six social housing flats co-located in a soci

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Nafkha, Rafik, Tomasz Ząbkowski, and Krzysztof Gajowniczek. "Deep Learning-Based Approaches to Optimize the Electricity Contract Capacity Problem for Commercial Customers." Energies 14, no. 8 (2021): 2181. http://dx.doi.org/10.3390/en14082181.

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The electricity tariffs available to customers in Poland depend on the connection voltage level and contracted capacity, which reflect the customer demand profile. Therefore, before connecting to the power grid, each consumer declares the demand for maximum power. This amount, referred to as the contracted capacity, is used by the electricity provider to assign the proper connection type to the power grid, including the size of the security breaker. Maximum power is also the basis for calculating fixed charges for electricity consumption, which is controlled and metered through peak meters. If

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Dejvises, Jackravut. "Energy Storage System Sizing for Peak Shaving in Thailand." ECTI Transactions on Electrical Engineering, Electronics, and Communications 14, no. 1 (2015): 49–55. http://dx.doi.org/10.37936/ecti-eec.2016141.171094.

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This paper presents a mathematical model of energy storage systems (ESSs) to minimise daily electrical peak power demand in Thailand. A daily electrical load curve on a peak day obtained from Electricity Generating Authority of Thailand (EGAT) is used to analyse the capability of energy storage system for electrical peak power demand reduction with different ESS sizes. It is found that with power rate of 50 percent of the difference between the minimum and the maximum demands of the daily load curve and with energy capacity of 50 percent of the sum of each time step absolute energy difference

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Sasi Bhushan, M. A., M. Sudhakaran, Sattianadan Dasarathan, and Mariappane E. "Integration of a Heterogeneous Battery Energy Storage System into the Puducherry Smart Grid with Time-Varying Loads." Energies 18, no. 2 (2025): 428. https://doi.org/10.3390/en18020428.

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A peak shaving approach in selected industrial loads helps minimize power usage during high demand hours, decreasing total energy expenses while improving grid stability. A battery energy storage system (BESS) can reduce peak electricity demand in distribution networks. Quasi-dynamic load flow analysis (QLFA) accurately assesses the maximum loading conditions in distribution networks by considering factors such as load profiles, system topology, and network constraints. Achieving maximum peak shaving requires optimizing battery charging and discharging cycles based on real-time energy generati

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Kauko, Hanne, Daniel Rohde, and Armin Hafner. "Local Heating Networks with Waste Heat Utilization: Low or Medium Temperature Supply?" Energies 13, no. 4 (2020): 954. http://dx.doi.org/10.3390/en13040954.

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District heating enables an economical use of energy sources that would otherwise be wasted to cover the heating demands of buildings in urban areas. For efficient utilization of local waste heat and renewable heat sources, low distribution temperatures are of crucial importance. This study evaluates a local heating network being planned for a new building area in Trondheim, Norway, with waste heat available from a nearby ice skating rink. Two alternative supply temperature levels have been evaluated with dynamic simulations: low temperature (40 °C), with direct utilization of waste heat and d

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Dissertationen zum Thema "Electricity network peak demands"

Mullen, Christopher. "Interactions between demand side response, demand recovery, peak pricing and electricity distribution network capacity margins." Thesis, University of Newcastle upon Tyne, 2018. http://hdl.handle.net/10443/4170.

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The operation of the electricity system is subject to: charges comprised of energy, capacity, use of system, peak demand and balancing components; payments for services that influence the timing and magnitude of demand; and regulatory and physical network constraints. This work explores the interactions of these characteristics in the GB system. The revenue flows associated with energy demand, balancing and use of system charges are mapped for generators, transmission and distribution network operators (TNO and DNOs), system operator (SO), electricity retailers and electricity users. Triads ar

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Morris, Peter J. "Improved residential electricity demand management through analysis of the customer perspective." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/83943/12/83943%28thesis%29.pdf.

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Peak electricity demand requires substantial investment to update transmission, distribution and generation infrastructure. A successful community peak demand reduction project was examined to identify residential consumer motivational and contextual factors involved in their decision to adopt/not adopt interventions. Energy professionals actively worked to achieve community 'peer' membership and by becoming a trusted information source, facilitated voluntary home energy assessment requests from over 80% of the residential community. By combining and tailoring interventions to the specific nee

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CARON, MATHIEU. "Long-term forecasting model for future electricity consumption in French non-interconnected territories." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299457.

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In the context of decarbonizing the electricity generation of French non-interconnected territories, the knowledge of future electricity demand, in particular annual and peak demand in the long-term, is crucial to design new renewable energy infrastructures. So far, these territories, mainly islands located in the Pacific and Indian ocean, relies mainly on fossil fuels powered facilities. Energy policies envision to widely develop renewable energies to move towards a low-carbon electricity mix by 2028. This thesis focuses on the long-term forecasting of hourly electricity demand. A methodolog

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Hadjipaschalis, Constantinos. "An investigation of artificial neural networks applied to monthly electricity peak demand and energy forecasting." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286627.

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Paisios, Andreas. "Profiling and disaggregation of electricity demands measured in MV distribution networks." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28777.

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Despite the extensive deployment of smart-meters (SMs) at the low-voltage (LV) level, which are either fully operational or will be in the near future, distribution network operators (DNOs) are still relying on a limited number of permanently installed monitoring devices at primary and secondary medium-voltage (MV) substations, for purposes of network operation and control, as well as to inform and facilitate trading interactions between generators, distributors and suppliers. Accordingly, improved and sufficiently developed models for the analysis of aggregate demands at the MV-level are requ

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(11392001), Anam Shourobh. "Active optimisation of water treatment and pumping scheduling to maximise solar energy use and minimise electricity network peak demands." Thesis, 2024. https://figshare.com/articles/thesis/Active_optimisation_of_water_treatment_and_pumping_scheduling_to_maximise_solar_energy_use_and_minimise_electricity_network_peak_demands/28059806.

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The process of drawing water from the Proserpine River, treating and finally pumping clean drinking water to the people of Bowen requires a great amount of electrical energy for which the Whitsunday Regional Council must foot the bill. Solar panels have helped to reduce electrical usage during the day; however, the plant and process have not been optimised yet to maximise the usage of solar power. This is the goal of this project, and more specifically to better fit the plant’s electricity usage schedule to the daily and hourly solar irradiance. A proposition of an ‘autopilot’ process was deve

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Yen, Ta-Pin, and 顏大濱. "The Optimal Capacity Investigate to Suppress the Peak Loading of Micro-Grid Network with both of Wind Power and Solar Energy Electricity Generation." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/54712163890968264113.

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碩士<br>和春技術學院<br>電機工程研究所<br>97<br>The load characteristics of micro-grids in various areas are comprised by the typical industrial, commercial, agricultural and residential customers. By summation the power consumption of each typical customer to form the micro-grid network such as the industry-oriented, commerce-oriented, agriculture-oriented, resident-oriented and mixed type micro-grids. To suppress peak demand the distributed power supply has proven to be the best practice for micro-grid. Whereas main system is consist of many sub-systems and the loadings of main systems can be further categ

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Buchteile zum Thema "Electricity network peak demands"

Gorges, Tobias, Claudia Weißmann, and Sebastian Bothor. "Small Electric Vehicles (SEV)—Impacts of an Increasing SEV Fleet on the Electric Load and Grid." In Small Electric Vehicles. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65843-4_9.

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AbstractHeading towards climate neutrality, the electrification of the transport sector has significant impact on the electric grid infrastructure. Among other vehicles, the increasing number of new technologies, mobility offers, and services has an impact on the grid infrastructure. The purpose of this case study therefore is to examine and highlight the small electric vehicle (SEV) impact on the electric load and grid. A data-based analysis model with high charging demand in an energy network is developed that includes renewable energy production and a charging process of a whole SEV fleet d

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Palmer, Graham. "Electricity Networks: Managing Peak Demand." In SpringerBriefs in Energy. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02940-5_4.

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Balwant, Manoj Kumar, Sai Rohan Basa, and Rajiv Misra. "Reducing Peak Electricity Demands of a Cluster of Buildings with Multi-Agent Reinforcement Learning." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15175-0_25.

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Morgan, Roger. "Displacement of Conventional Domestic Energy Demands by Electricity: Implications for the Distribution Network." In Sustainability in Energy and Buildings. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17387-5_16.

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Trenz, André, Christoph Hoffmann, Christopher Lange, and Richard Öchsner. "Increasing Energy Efficiency and Flexibility by Forecasting Production Energy Demand Based on Machine Learning." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_50.

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AbstractThe ability of manufacturing companies to compete depends strongly on the efficient use of production resources and the flexibility to adapt to changing production conditions. Essential requirements for the energetic infrastructure (EGI) result from the production itself, e.g., security of supply, efficiency and peak shaving. Since production always takes priority and must not be disturbed, the flexibility potential in terms of energy efficiency lies primarily in the EGI. Based on this, strategies will be developed that support companies in increasing their efficiency and flexibility b

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Arora, Rishabh, Sriram Yadav, and Sindhu T N. "A SMART GRID ENHANCED WITH ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY FOR IMPROVED ENERGY MANAGEMENT." In 9th National Conference & Exhibition on Emerging and Innovative Trends in Engineering Technology (NCEEITET). IARS' Press Australia, 2023. https://doi.org/10.62431/ws6e9694.

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Renewable energy and other clean distributed generation are expanding, reducing carbon and other air pollution. Decentralized energy sources and rising electricity demand exacerbate grid instability. Peak electricity demand, grid demand and generation balance, and cost reduction depend on electrical load forecasting. These methods also control peak electrical consumption. This thesis uses short-term electrical demand forecasting to improve grid resiliency, power quality, and volatility. Yet, electrical data forecasting is problematic since the data are neither steady or linear. It's complicate

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Molla, Tesfahun. "Smart Home Energy Management System." In Research Anthology on Smart Grid and Microgrid Development. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3666-0.ch051.

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With the development of smart grid technology, residents can schedule their power consumption pattern in their home to minimize electricity expense, reducing peak-to-average ratio (PAR) and peak load demand. The two-way flow of information between electric utilities and consumers in smart grid opened new areas of applications. In this chapter, the general architectures of the home energy management systems (HEMS) are introduced in a home area network (HAN) based on the smart grid scenario. Efficient scheduling methods for home power usage are discussed. The energy management controller (EMC) r

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Molla, Tesfahun. "Smart Home Energy Management System." In Handbook of Research on New Solutions and Technologies in Electrical Distribution Networks. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1230-2.ch011.

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Wang, Qing, Xiaohu Zhu, and Xiaozhuang Zhou. "Two-Layer Optimal Dispatching Strategy of Distribution Network Considering Demand Side Load." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia231208.

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The traditional optimal dispatching of distribution network usually takes the demand load measurement as the rigid load. However, as the demand for electricity continues to rise, a large amount of distributed renewable energy generation is incorporated into the power grid. It is difficult to ensure the safe and reliable operation of the electrical system if only the optimal dispatching of the generating side is carried out. This paper proposes a two-layer optimal distribution network scheduling strategy that considers the demand side load. The upper layer model chooses controllable load output

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M., Maheswari, and Gunasekharan S. "Operation and Control of Microgrid." In Handbook of Research on Smart Power System Operation and Control. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8030-0.ch018.

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The demand for electricity is increasing day by day due to technological advancements. According to the demand, the size of the grid is also increasing rapidly in the past decade. However, the traditional centralized power grid has many drawbacks such as high operating cost, customer satisfaction, less reliability, and security. Distribution generation has less pollution, high energy efficiency, and flexible installation than traditional generation. It also improves the performance of the grid in peak load and reliability of supply. The concept of micro-grid has been raised due to the advent o

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Konferenzberichte zum Thema "Electricity network peak demands"

Zhang, Lingwei, and Yufei Wang. "Optimization of steam power systems in industrial parks considering the distributed heat supply and auxiliary steam turbines." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.181550.

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In the steam power system for the centralized heat supply in an industrial park, heat demands of all consumers are satisfied by the energy station, leading to the high steam delivery costs caused by the several distant enterprises. Additionally, the number of steam levels is limited due to the trade-off between distance-related costs and heat cascaded utilization, thus some consumers are supplied with heat at higher temperature than that of required, resulting in the low energy efficiency. To deal with the above problems, this work proposes an optimization model for steam power systems (SPSs)

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Li, Qing, Alexandre C. Dimian, and Anton A. Kiss. "Energy Efficient Process Designs for Acrylonitrile Production by Propylene Ammoxidation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.107589.

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Acrylonitrile is a critical commodity chemical used to produce a variety of industrial polymers, such as carbon fibers, plastics, etc. Currently 90% of the global acrylonitrile production is based on propylene ammoxidation. However, there is no literature reporting the whole process holistically in detail, and which also looks into the energy utilization of the whole process including the reaction heat as well as the energy demands of the downstream separation. This original study provides a rigorous process design of the full process from a holistic viewpoint, covering 7 sections of acrylonit

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Heidar Esfehani, Hamidreza, and Martin Kriegel. "Modeling and Analysis of Energy Load Management Using Advanced Off-Peak Controlled Heat Pump System With Thermal Storage Under Different Time and Weather Conditions." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52957.

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In this present paper, an advanced model of a ground source heat pump (GSH) system coupled with thermal energy storage (TES) is simulated and performed under a developed load management control strategy in order to supply a residential complex by taking the advantage of cheap excess electricity of the grid network during off-peak hours, where demand is in its lowest rate. Analyzing the performance of the system under different time and weather conditions leads to recognizing the effective parameters on thermal performance of the system which leads to achieve the optimal system efficiency and o

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Bello, Olumide, and Landon Onyebueke. "Optimization of Smart Grid Solar Energy Application." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36791.

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This paper presents an approach to modeling of renewable energy integration into Smart Grid for Electric Vehicle charging applications. Integration of renewable energy sources to smart grid is not only the key to smart Electric Vehicle charging but also the most efficient way to manage the distributed energy resources. It enables the ability to control, ease the peak load impacts, and protect distribution network components from being overloaded by Electric Vehicles. Thus, the electricity generation and consumption is managed in more cost effective way. The developed model is a grid connected

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Liang, Yongtu, Jing Gong, Zhengling Kang, and Fafu Yang. "Research on Operation Optimization of Multi-Product Pipeline." In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0597.

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It is a difficult task for pipeline operators to operate a long-distance complicated multi-product pipeline optimally, safely and efficiently. The off-line optimization simulation software for multi-product pipeline can assist to solve the problem rapidly and efficiently. Considering the operating characteristics of a complex multi-product pipeline with a variety of equipment configurations and demands for products along the pipeline, etc, the mathematical model for optimizing operations of multi-product pipeline was established, following the optimization theory, which is solved via the Dynam

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Manoharan, Yogesh, Alexander Headley, Keith Olson, Laurence Sombardier, and Benjamin Schenkman. "Energy Storage Versus Demand Side Management for Peak-Demand Reduction at the Hawaii Ocean Science and Technology Park." In ASME 2021 15th International Conference on Energy Sustainability collocated with the ASME 2021 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/es2021-63799.

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Abstract There is a growing interest in utilizing energy storage for behind-the-meter customers. Energy storage systems have many functions for behind-the-meter use such as energy time shifting, peak demand shaving, and backup power. However, demand side management of energy consuming systems can also provide similar energy shifting functionality often with a significantly lower upfront cost. Though energy storage systems and demand side management can both be applied, each option has strengths and weaknesses that can make the optimal selection of measures difficult in many cases. In this stud

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Gajowniczek, Krzysztof, Rafik Nafkha, and Tomasz Ząbkowski. "Electricity peak demand classification with artificial neural networks." In 2017 Federated Conference on Computer Science and Information Systems. IEEE, 2017. http://dx.doi.org/10.15439/2017f168.

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Nagah, Mostafa, and Mohamed Shaaban. "A Transactive Energy Microgrid Model using Blockchains." In International Technical Postgraduate Conference 2022. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.141.31.

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The price of technology used in the production of renewable energy (RE) has come down significantly, and end users' roles have shifted from that of simple energy consumers to that of active participants in the creation of their energy. This new function is known as a prosumer, and it has led to the change in electricity markets by enabling prosumers to resell energy excess to electricity suppliers and other prosumers. As a result, there is a need for a peer-to-peer (P2P) energy trading network that makes use of the Ethereum blockchain and a smart contract mechanism to operate as an interface b

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Tong, Zheng, Xiaoqi Wang, Dingwei Weng, et al. "Unconventional Fields Recovery Enabled By Large-Scale Green Power Supply Based on Multi Micro-Grids and Energy Storage Sharing with National Data Centers." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215407-ms.

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Abstract Unconventional oil and gas reserves have drawn considerable attention for petroleum companies over the last two decades. Eco-friendly electric-powered drilling rigs and fracturing fleets have been commercially available instead of diesel-powered equipment. However, Operators were often confronted with challenges of the great demand on electrical power especially fracturing operation. Fossil-energy-powered electricity and existing expensive high-voltage power grids have negative effect on Environmental-Social-Governance (ESG) initiatives and CAPEX of shale-oil developing projects. Addi

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Khoir, Khoir Lazuardi, Ade Rafsanjani Ade, and Widi Hernowo Widi. "Technical and Economic Analysis of Mini LNG from the Utilization of Gas Flare by Optimization of Liquefaction Process." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210883-ms.

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Abstract Nowadays, the world is facing global warming as one of its main issues. This problem can be caused by a rise in CO2, CH4, and other GHG emissions in the atmosphere. On the other hand, flared gas is very similar in composition to natural gas and is a cleaner source of energy than other commercial fossil fuels where is 142 bcm of natural gas was flared in 2020 globally. Around 265 Mt CO2, almost 8 Mt of methane (240 Mt CO2-eq), black soot, and other GHGs were being directly emitted into the atmosphere as the result. Currently, Mini-LNG facilities could have been eliminated from gas flar

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