Relevant bibliographies by topics / Smart city, Energy management, Energy simulation

Academic literature on the topic 'Smart city, Energy management, Energy simulation'

Author: Grafiati
Published: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Smart city, Energy management, Energy simulation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Smart city, Energy management, Energy simulation"

1

Reis, Fernando B., Reinaldo Tonkoski, and Timothy M. Hansen. "Synthetic residential load models for smart city energy management simulations." IET Smart Grid 3, no. 3 (May 19, 2020): 342–54. http://dx.doi.org/10.1049/iet-stg.2019.0296.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gururani, Hemlata, Aman Kumar, Dinesh Waghamode, Ekanki Jain, and Anshika Garg. "Smart City using IOT simulation design in Cisco Packet Tracer." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 2544–51. http://dx.doi.org/10.22214/ijraset.2022.42904.

Full text
Abstract:
Abstract: IoT is a system of interconnected devices which can collect and transfer data without human interference. Now-days IoT is used in various sectors including industries, agriculture, medical, smart city etc. This article review about smart city including – smart home which measures temperature according environment, smart garden which is sprinkling water according to water lever, smart grid which taking energy from solar panel and transfers it to power meter which charge the battery and helps in glowing the bulb. Smart city are the modern urban concepts that are essential for people to have quality of life. In view of the fact that high-tech, reasonable and control obstacle, the smart city opinion is still not extensive through the world. As a consequence, the major purpose of this paper is to carry the personification of smart city. We explain many challenges and opportunities in smart city. The enormity and diversity of devices and their and configuration provide inventive services and frameworks that need a new stimulating sight in integration, reliability and management of data. In this paper the simulation of related work is done by CISCO PACKET TRACER (7.3.1). Keywords: IOT, Smart City, Smart home, Smart grid, Smart garden. RFID, CISCO PACKET TRACER
APA, Harvard, Vancouver, ISO, and other styles
3

Garlík, Bohumír. "Energy Sustainability of a Cluster of Buildings with the Application of Smart Grids and the Decentralization of Renewable Energy Sources." Energies 15, no. 5 (February 23, 2022): 1649. http://dx.doi.org/10.3390/en15051649.

Full text
Abstract:
The optimal design of a building and city, including the balance of their energy performance, must include requirements from a wide range of areas, especially electrical engineering, informatics, technical equipment of buildings, construction and architecture, psychology and many other fields. It is the optimal design, simulation and modelling that are most reflected in the energy requirements of buildings while meeting the requirements of energy sustainability. The impact of buildings and cities on the environment is crucial and unmistakable. It should be emphasized that an inappropriately (architecturally or technologically) designed building with state-of-the-art control technology will still have worse properties than an optimally designed building without a control system. This inspired us to design a building energy model (BEM) with the implementation of a Smart Grid in a decentralized sustainable energy system, which is a microgrid from renewable energy sources (RES). This inspired us to conduct an analysis of simulation models (simultaneous simulations) to show the possibility of their application in the process of fully satisfying energy needs in a given urban region. The main goal is to design an original methodology for the design of smart “Nearly Zero Energy Buildings” (NZEB) and subsequent energy sustainability solutions. This led us to use Hybrid Optimization of Multiple Energy Resources (HOMER), PV*SOL (2D solar software design tool for the photovoltaic system performance), Monte Carlo and DesignBuilder. The EMB was designed based on the Six Sigma design quality management methodology. In the process of integrating Smart Grids with energy efficiency solutions for buildings, an original optimization basis was designed for smart buildings and smart urban areas. The proposed EMB was verified in an experiment.
APA, Harvard, Vancouver, ISO, and other styles
4

Maatoug, Abdelfettah, Ghalem Belalem, and Kadda Mostefaoui. "Modeling and Simulation of Energy Management System for Smart City with the Formalism DEVS: Towards Reducing the Energy Consumption." International Journal of Computer Applications 90, no. 18 (March 26, 2014): 38–43. http://dx.doi.org/10.5120/15824-4710.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Marques, Daniel, Carlos Senna, and Miguel Luís. "Forwarding in Energy-Constrained Wireless Information Centric Networks." Sensors 22, no. 4 (February 13, 2022): 1438. http://dx.doi.org/10.3390/s22041438.

Full text
Abstract:
Information Centric Networks (ICNs) have been considered one of the most promising candidates to overcome the disadvantages of host-centric architectures when applied to IoT networks, having the potential to address the challenges of a smart city. One of the foundations of a smart city is its sensory capacity, which is obtained through devices associated with the IoT concept. The more sensors spread out, the greater the ability to sense the city. However, such a scale demands high energy requirements and an effective improvement in the energy management is unavoidable. To improve the energy management, we are proposing an efficient forwarding scheme in energy-constrained wireless ICNs. To achieve this goal, we consider the type of devices, their internal energy and the network context, among other parameters. The proposed forwarding strategy extends and adapts concepts of ICNs, by means of packet domain analysis, neighbourhood evaluation and node sleeping and waking strategies. The proposed solution takes advantage of the neighbourhood to be aware of the moments to listen and forward packets in order to consistently address mobility, improving the quality of content delivery. The evaluation is performed by simulation with real datasets of urban mobility, one from the lagoon of “Ria de Aveiro” and the other from a vehicular network in the city of Porto. The results show that the proposed forwarding scheme resulted in significant improvements in network content availability, in the overall energy saving and, consequently, in the network lifetime.
APA, Harvard, Vancouver, ISO, and other styles
6

Loose, Nils, Christian Thommessen, Jan Mehlich, Christian Derksen, and Stefan Eicker. "Unified Energy Agents for Combined District Heating and Electrical Network Simulation." Sustainability 12, no. 21 (November 9, 2020): 9301. http://dx.doi.org/10.3390/su12219301.

Full text
Abstract:
A sustainable and climate-friendly energy supply needs flexible and efficient distribution systems. Key factors to implement this kind of systems are intelligent coordination (smart grid approaches) and the integration of different energy sectors. This article introduces the unified energy agent as an agent-based approach for a comprehensive modelling and control of energy conversion systems. This approach enables both the simulation and optimization of coupled energy networks, and then in a next step, the development of corresponding smart grid solutions to be applied in the field. Its applicability for the simulation of coupled networks is presented by a real-world use-case of an innovative combined heat and electrical network, which was implemented for the city of Lemgo, Germany. Preliminary results from the project are discussed and an outlook on future work is given.
APA, Harvard, Vancouver, ISO, and other styles
7

Wu, Fengzhi, Gaofeng Xu, Ziyi Qi, Zhi Qi, Meng Zhang, and Rong He. "Research on Multi-level Distribution Strategy Based on Energy Internet." E3S Web of Conferences 252 (2021): 03031. http://dx.doi.org/10.1051/e3sconf/202125203031.

Full text
Abstract:
Smart city energy Internet is to comply with the trend of sustainable energy development, urban power energy as the center, comprehensive utilization of all kinds of energy, especially renewable energy, to achieve interconnection and common optimization. Based on the background of distribution network in Disney Park, this paper studies the regulation, operation and management strategy of distribution network of smart city energy Internet. This paper describes the characteristics of the energy Internet, and then analyzes the key technologies that affect power grid regulation, operation and management. The paper investigated the distribution network construction in Shanghai Disney Park under the background of urban energy Internet pilot region to understand the allocation of distributed energy in the park grid. Through simulation calculation and analysis, this paper puts forward a distribution network regulation and management scheme suitable for the characteristics of energy Internet. In this paper, the study found that with the rapid development of power grid, especially all kinds of distributed energy access, the new lines are becoming more. In a wide range of power grid structure is becoming more and more complex, in order to ensure the reliability of power supply and power supply quality, scientific regulation under the background of urban energy Internet development mode, enhancing the management level of power grid is the inevitable developing trend of power grid.
APA, Harvard, Vancouver, ISO, and other styles
8

Mousavi Rad, Eisa, Zahra Mousavi, and Mehro Razmjou. "A review of zero energy residential complex in the smart city environment." Repa Proceeding Series 3, no. 1 (June 30, 2022): 6–11. http://dx.doi.org/10.37357/1068/crgs2022.3.1.02.

Full text
Abstract:
According to the studies conducted by the Energy Consumption Management and Optimization Organization, in the common constructions of the country, energy loss in buildings is often 22% through windows, 22% from floors, and 30% from walls. Applying the principles of energy consumption optimization in coordination with climatic conditions and design uses, as well as the use of active and passive methods, can play an effective role in reducing energy consumption in conventional urban buildings. This research aims to provide solutions that address how to reduce energy consumption while creating quality in the architectural space. These solutions are obtained by recognizing the indicators of sustainable and comparative study with the climate of the desired design context. In the present study, the role of technology and digital tools in the field, which is the first and most important step in locating roles and functions, as well as small-scale designs such as building facades. Then, the architectural recommendations of the climate and international standards were examined, and a total of solutions were presented to reach the zero energy building (ZEB). Finally, the simulation method in Design Builder software analyzed the amount of energy consumption in the residential complex and using the analysis of the researchers' efforts and finding the best answer to the problems of architecture and urban planning; results show a significant reduction in energy consumption to be able to manage available resources in the best way.
APA, Harvard, Vancouver, ISO, and other styles
9

Canizes, Bruno, João Soares, Angelo Costa, Tiago Pinto, Fernando Lezama, Paulo Novais, and Zita Vale. "Electric Vehicles’ User Charging Behaviour Simulator for a Smart City." Energies 12, no. 8 (April 18, 2019): 1470. http://dx.doi.org/10.3390/en12081470.

Full text
Abstract:
The increase of variable renewable energy generation has brought several new challenges to power and energy systems. Solutions based on storage systems and consumption flexibility are being proposed to balance the variability from generation sources that depend directly on environmental conditions. The widespread use of electric vehicles is seen as a resource that includes both distributed storage capabilities and the potential for consumption (charging) flexibility. However, to take advantage of the full potential of electric vehicles’ flexibility, it is essential that proper incentives are provided and that the management is performed with the variation of generation. This paper presents a research study on the impact of the variation of the electricity prices on the behavior of electric vehicle’s users. This study compared the benefits when using the variable and fixed charging prices. The variable prices are determined based on the calculation of distribution locational marginal pricing, which are recalculated and adapted continuously accordingly to the users’ trips and behavior. A travel simulation tool was developed for simulating real environments taking into account the behavior of real users. Results show that variable-rate of electricity prices demonstrate to be more advantageous to the users, enabling them to reduce charging costs while contributing to the required flexibility for the system.
APA, Harvard, Vancouver, ISO, and other styles
10

Singh, Parminder, Anand Nayyar, Avinash Kaur, and Uttam Ghosh. "Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities." Future Internet 12, no. 4 (March 26, 2020): 61. http://dx.doi.org/10.3390/fi12040061.

Full text
Abstract:
Fog computing (FC) is used to reduce the energy consumption and latency for the heterogeneous communication approaches in the smart cities’ applications of the Internet of Everything (IoE). Fog computing nodes are connected through wired or wireless medium. The goal of smart city applications is to develop the transaction relationship of real-time response applications. There are various frameworks in real-world to support the IoE in smart-cities but they face the issues like security, platform Independence, multi-application assistance, and resource management. This article is motivated from the Blockchain and Fog computing technologies and presents a secured architecture Blockchain and Fog-based Architecture Network (BFAN) for IoE applications in the smart cities. The proposed architecture secures sensitive data with encryption, authentication, and Blockchain. It assists the System-developers and Architects to deploy the applications in smart city paradigm. The goal of the proposed architecture is to reduce the latency and energy, and ensure improved security features through Blockchain technology. The simulation results demonstrate that the proposed architecture performs better than the existing frameworks for smart-cities.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Smart city, Energy management, Energy simulation"

1

Roe, Curtis Aaron. "Impacts of automated residential energy management technology on primary energy source utilization." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45865.

Full text
Abstract:
The objective of the proposed research is to analyze automated residential energy management technology using primary energy source utilization. A residential energy management system (REMS) is an amalgamation of hardware and software that performs residential energy usage monitoring, planning, and control. Primary energy source utilization quantifies power system levels impacts on power generation cost, fuel utilization, and environmental air pollution; based on power system generating constraints and electric load. Automated residential energy management technology performance is quantified through a physically-based REMS simulation. This simulation includes individual appliance operation and accounts for consumer behavior by stochastically varying appliance usage and repeating multiple simulation iterations for each simulated scenario. The effect of the automated REMS under varying levels of control will be considered. Aggregate REMS power system impacts are quantified using primary energy source utilization. This analysis uses a probabilistic economic dispatch algorithm. The economic dispatch algorithm quantifies: fuel usage and subsequent environmental air pollution (EAP) generated; based on power system generating constraints and electric load (no transmission constraints are considered). The analysis will comprehensively explore multiple residential energy management options to achieve demand response. The physically-based REMS simulation will consider the following control options: programmable thermostat, direct load control, smart appliance scheduling, and smart appliance scheduling with a stationary battery. The ability to compare multiple automated residential energy management technology options on an equal basis will guide utility technology investment strategies.
APA, Harvard, Vancouver, ISO, and other styles
2

Weingarten, Leopold. "Physical Hybrid Model : Measurement - Experiment - Simulation." Thesis, Uppsala universitet, Fasta tillståndets fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176412.

Full text
Abstract:
A method has been developed, Physical Hybrid Model, to investigate the physical large scale electrical effects of a Battery Energy Storage System (BESS) on a distribution grid by scaling the response from a small size Research Development and Demonstration (RD&D) platform. In order to realize the model the control system of an existing RD&D platform was refurbished and stability of components ensured. The Physical Hybrid Model proceeds as follows: Data from a distribution grid are collected. A BESS cycle curve is produced based on analyzed measurements. Required BESS power and capacity in investigated grid is scaled down by factor k to that of the physical test installation of the RD&D platform. The scaled BESS cycle is sent as input to control of the battery cycling of the RD&D platform. The response from the RD&D platform is scaled – up, and used in simulation of the distribution grid to find the impact of a BESS. The model was successfully implemented on a regional distribution grid in southern Sweden.
APA, Harvard, Vancouver, ISO, and other styles
3

Ng, Kwok-kei Simon, and 吳國基. "Optimal planning and management of stochastic demand and renewable energy in smart power grid." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B50434299.

Full text
Abstract:
To combat global climate change, the reduction of carbon emissions in different industries, particularly the power industry, has been gradually moving towards a low-carbon profile to alleviate any irreversible damage to the planet and our future generations. Traditional fossil-fuel-based generation is slowly replaced by more renewable energy generation while it can be harnessed. However, renewables such as solar and wind are stochastic in nature and difficult to predict accurately. With the increasing content of renewables, there is also an increasing challenge to the planning and operation of the grid. With the rapid deployment of smart meters and advanced metering infrastructure (AMI), an emerging approach is to schedule controllable end-use devices to improve energy efficiency. Real-time pricing signals combined with this approach can potentially deliver more economic and environmental advantages compared with the existing common flat tariffs. Motivated by this, the thesis presents an automatic and optimal load scheduling framework to help balance intermittent renewables via the demand side. A bi-level consumer-utility optimization model is proposed to take marginal price signals and wind power into account. The impact of wind uncertainty is formulated in three different ways, namely deterministic value, scenario analysis, and cumulative distributions function, to provide a comprehensive modeling of unpredictable wind energy. To solve the problem in off-the-shelf optimization software, the proposed non-linear bi-level model is converted into an equivalent single-level mixed integer linear programming problem using the Karush-Kuhn-Tucker optimality conditions and linearization techniques. Numerical examples show that the proposed model is able to achieve the dual goals of minimizing the consumer payment as well as improving system conditions. The ultimate goal of this work is to provide a tool for utilities to consider the demand response model into their market-clearing procedure. As high penetration of distributed renewable energy resources are most likely applied to remote or stand-alone systems, planning such systems with uncertainties in both generation and demand sides is needed. As such, a three-level probabilistic sizing methodology is developed to obtain a practical sizing result for a stand-alone photovoltaic (PV) system. The first-level consists of three modules: 1) load demand, 2) renewable resources, and 3) system components, which comprise the fundamental elements of sizing the system. The second-level consists of various models, such as a Markov chain solar radiation model and a stochastic load simulator. The third-level combines reliability indices with an annualized cost of system to form a new objective function, which can simultaneously consider both system cost and reliability based on a chronological Monte Carlo simulation and particle swamp optimization approach. The simulation results are then tested and verified in a smart grid laboratory at the University of Hong Kong to demonstrate the feasibility of the proposed model. In summary, this thesis has developed a comprehensive framework of demand response on variable end-use consumptions with stochastic generation from renewables while optimizing both reliability and cost. Smart grid technologies, such as renewables, microgrid, storage, load signature, and demand response, have been extensively studied and interactively modeled to provide more intelligent planning and management for the smart grid.
published_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
APA, Harvard, Vancouver, ISO, and other styles
4

Gudi, Nikhil. "A Simulation Platform to Demonstrate Active Demand-Side Management by Incorporating Heuristic Optimization for Home Energy Management." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279314597.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Liu, Kai, and 劉愷. "Optimal dispatch and management for smart power grid." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46336680.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Huang, Zhixing. "Cost-Effectiveness of Electricity Energy Efficiency Programs: Demand-Side Management's (DSM) Future Role in Energy Markets and Feasibility of Smart Meters in New York City." Thesis, Boston College, 2011. http://hdl.handle.net/2345/1999.

Full text
Abstract:
Thesis advisor: Scott Fulford
Can smart metering program and time-of-use (TOU) prices help reduce energy consumption in New York City? Being able to track electricity consumption levels and to modify consumer usage patterns are important for policy makers to efficiently manage the energy markets. Unfortunately, no reliable and up-to-date data have been brought to bear on this question. I study the effects of time-of-use (TOU) prices and smart metering for the residents of Shanghai and I investigate further what can policy makers do in order to adapt and transfer this successful DSM experience from Shanghai to the residential sector in New York City. The primary objective of my study is to characterize the realistic short-term and long-term potential for the smart metering program in New York City given my empirical findings that the smart metering program has had brought great benefits to the residents of Shanghai. People respond to incentives; if electricity is charged at different prices throughout a day, consumers are likely to shift their usage to when it is cheaper. My findings suggest that policy makers should think harder about designing a pricing scheme that can optimize the social plus
Thesis (BA) — Boston College, 2011
Submitted to: Boston College. College of Arts and Sciences
Discipline: College Honors Program
Discipline: Economics Honors Program
Discipline: Economics
APA, Harvard, Vancouver, ISO, and other styles
7

CAPITANELLI, ANDREA. "A User-Centred Methodology to Design and Simulate Smart Home Environments and Related Services." Doctoral thesis, Università Politecnica delle Marche, 2017. http://hdl.handle.net/11566/245273.

Full text
Abstract:
I progressi nelle tecnologie di automazione e comunicazione all'interno degli edifici residenziali offrono molti interessanti vantaggi per lo sviluppo delle Smart Home, come l'aumento di efficienza energetica, il miglioramento il comfort per gli abitanti e la riduzione dei costi operativi per il proprietario. L'aggregazione e la condivisione dei dati all'interno delle reti possono essere garantite dal moderno approccio denominato Internet delle cose (IoT) e supportati dalle nuove tecnologie dell'informazione e della comunicazione (ICT). Tali tecnologie si stanno evolvendo e le abitazioni stanno diventando luoghi tecnologici popolati da una moltitudine di dispositivi in grado di raccogliere una grande quantità di dati e di cooperare in modo intelligente per controllare tutti i dispositivi connessi, come gli elettrodomestici, l'illuminazione, i sistemi di riscaldamento, ecc. Da un lato, l’intelligenza crescente dei dispositivi connessi produce una grande quantità di dati; dall'altro lato, la complessità di tali dati crea difficoltà di classificazione, trasmissione ed interpretazione delle informazioni utili. Entrambi gli aspetti possono ridurre drasticamente i potenziali vantaggi e limitare la diffusione dei cosiddetti dispositivi “smart”. Mentre a livello aziendale già esistono soluzioni di automazione affermate ed ampiamente utilizzate, le applicazioni per le abitazioni private sono ancora di difficile diffusione a causa della mancanza di standard di comunicazione e della presenza di dispositivi e sistemi altamente eterogenei e quindi di difficile integrazione. Inoltre, anche quando la connessione tra due dispositivi viene stabilita, renderli interoperabili è un’altra grande sfida a causa delle differenze nelle modalità di funzionamento e della difficoltà di integrazione dell'interfaccia. Infatti, le Smart Home non consentono ancora una elevata interoperabilità e gli studi fatti sono spesso fortemente orientati alla tecnologia e concentrati sulle potenzialità dei singoli sottosistemi, trascurando i benefici per gli utenti finali. A tale scopo, questo lavoro definisce un modello di gestione delle informazioni per ambienti domestici intelligenti con lo scopo di supportare la progettazione e la simulazione dei dispositivi “smart” nonché dei servizi sviluppati. Tale modello considera diverse tipologie di dispositivi, le relazioni esistenti tra loro, i flussi informativi e le modalità di interazione dell’utente per modellare correttamente l'ambiente e definirne il comportamento. Il modello sviluppato supporta la progettazione della Smart Home ed è in grado di simulare le funzionalità dei dispositivi con lo scopo finale di valutare i benefici dei servizi forniti.
The advances in home automation and communication technologies offer several attractive benefits for the modern smart home, such as increased energy efficiency, improved residential comfort and reduced operative costs for the homeowner. Data aggregation and sharing within the networks can be guaranteed by modern Internet of Things (IoT) approaches and supported by available Information and Communication Technologies (ICT) tools. Such technologies are evolving and the private houses are becoming technological places populated by a multitude of devices able to collect a huge quantity of data and to cooperate in an intelligent way to control different domains, from household appliances to lighting or heating and ventilation. On one hand, the rising intelligence of smart devices makes a large amount of data available; on the other hand, data complexity creates difficulties in classifying, transmitting and interpreting essential data. Both aspects may drastically reduce the potential advantages and limit the diffusion smart devices. While in building automation proven solutions already exist, tailored applications for private houses and integration among heterogeneous devices and systems are still challenging due to the lack of standards and the variety of adopted communication protocols and data model schemas. Furthermore, even when the device connection and consolidation are achieved, making them cooperate in an interoperable way is another big challenge due to differences in usage paradigms, operation modes and interface integration. In fact, Smart Homes still lack of high interoperability and researches are often strongly technology-oriented and focused on single sub-system potentialities neglecting the expected benefits for the final users. For this purpose, the presented research defines an information management model for the smart home environment to support design and simulation of its devices as well as the enabled services. Such a model considers different device typologies, their mutual relationships, the information flows and the user interaction modalities in order to properly model the environment and define its behavior. It supports the design of the smart home by simulating the devices’ functionalities and estimating the expected performances.
APA, Harvard, Vancouver, ISO, and other styles
8

Badreddine, Rim. "Gestion énergétique optimisée pour un bâtiment intelligent multi-sources multi-charges : différents principes de validations." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00780209.

Full text
Abstract:
Le bâtiment est un noeud énergétique important et un support idéal pour développer etanalyser les effets d'un système de gestion optimisée d'énergie (SGEB) tant son impactpotentiel sur la demande énergétique globale est important. Cependant, pour que ces objectifssoient atteints, plusieurs verrous doivent être levés. Au-delà des problématiques liées àl'architecture de distribution, aux modèles (y compris ceux relatifs au comportement desusagers), aux outils de dimensionnement, à la formalisation des paramètres, contraintes etcritères, aux systèmes de production et aux modes de connexions au réseau de distribution, lesproblèmes liés à la mise en oeuvre d'un outil de gestion décentralisée et à sa validation sontcentraux centrale. Ces travaux s'inscrivent directement dans cette optique. Ils portent enparticulier sur l'élaboration de modèles énergétiques, de stratégies de gestion d'énergie dansune configuration multi-sources et multi-charges et surtout de mise en oeuvre de méthodes etd'outils de validation au travers de bancs tests variés où certains composants peuvent êtreréels.Ce travail analyse le gestionnaire énergétique " G-homeTech " comprenant plusieursfonctionnalités de gestion testées sur des bancs d'essai virtuels et hybrides qui permettent decombiner à la fois des composants matériels et logiciels dans les simulations. Cela a permisd'insérer des actionneurs communicants pour tester leur pertinence. Les validations menéesmontrent que le gestionnaire énergétique permet l'effacement de pointes de consommation etdes économies sur la facture énergétique globale tout en respectant les contraintes techniqueset réglementaires.Les évènements prédits ne sont pas toujours ceux qui se produisent. Nous avons alorssimulé de telles situations. La radiation solaire et la consommation totale des services noncontrôlables sont différentes de celles prédites. Cette différence a conduit à des dépassementsde puissance électrique souscrite qui a activé le mécanisme de gestion réactive du gestionnaireénergétique. Des ordres de délestage sont alors dynamiquement envoyés à certainséquipements. Ces ordres alimentent directement les modèles des équipements électriques.Selon les importances relatives données au coût et au confort, nous avons montré que legestionnaire énergétique permet de faire des économies substantielles en évitant lesconsommations durant les pics de prix et évitant les dépassements de souscription pareffacement, par modulation du fonctionnement des systèmes de chauffage et par décalage defonctionnement des services temporaires dans les périodes plus intéressante énergétiquement.
APA, Harvard, Vancouver, ISO, and other styles
9

Mahmoud, Thair. "Optimal power generation in microgrids using agent-based technology." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/599.

Full text
Abstract:
The existing power grids that form the basis of the respective electrical power infrastructures for various states and nations around the world, are expected to undergo a period of rapid change in the near future. The key element driving this change is the emergence of the Smartgrid. The Smartgrid paradigm represents a transition towards an intelligent, digitally enhanced, two-way power delivery grid. The aim of the Smartgrid is to promote and enhance the e_cient management and operation of the power generation and delivery facilities, by incorporating advanced communications, information technology, automation, and control methodologies into the power grid proper. Smartgrid's are currently an active topic for research, where the research is strongly focused on developing new technologies such as: demand response, power generation management, pricing modelling and energy markets participation, power quality, and self-healing scenarios. In recent times, in both the United States of America and Europe, many new projects have begun which are specifically directed towards developing “Smartgrid” technologies. In Australia, the Federal Government has recently initiated funding plans to promote the commercialisation of renewable energy. In order to exploit these developments, Edith Cowan University (ECU); which is a High Voltage (HV) customer for the major utility network of Western Australia, and which owns its own transformers and Low Voltage (LV) network; is planning to integrate renewable energy suppliers within its LV network. The aim of this research is to introduce a smart decision making system, which can manage the operation of disparate power generation sources installed on a LV network (microgrid); such as that owned by ECU on its campuses. The proposed energy management system is to gather data in real-time, and it must be capable of anticipating and optimising energy needs for each operational scenario that the microgrid might be expected to experience. The system must take into account risk levels, while systematically favouring low economic and environmental costs. A management system application, based on autonomous and distributed controllers, is investigated in a virtual environment. The virtual environment being a full-scale simulation of ECU's microgrid; with solar panels, wind turbines, storage devices, gas gen-sets, and utility supply. Hence the simulation studies were conducted on the basis of realistic demand trends and weather conditions data. The major factors for reducing the cost of generation in the case study, were identified as being: 1) demand forecasting; 2) generation scheduling; 3) markets participation; and 4) autonomous strategies configuration, which is required to cope with the unpredictable operation scenarios in LV networks. Due to the high uncertainty inherent within the operational scenarios; an Artificial Intelligence (AI) deployment for managing the distributed sub-systems was identified as being an ideal mechanism for achieving the above mentioned objectives. Consequently it is proposed that Multi-Agent System (MAS) technology be deployed, to enable the system to respond dynamically to the unpredictable operational conditions by updating the method of analysis. The proposed system is to behave in a strategic manner when dealing with the expected operational scenarios, by aiming to achieve the lowest possible cost of power generation for the microgrid. The simulated system is based on realistic operational scenarios, which have been scaled to suit the size and type of load in the case study. The distributed intelligent modules have proven to be successful in achieving the potential benefits of the dynamic operational conditions, by minimising the cost of power generation. The distributed intelligent modules, which form the basis of the proposed management systems, have been designed to perform the following functions: 1. Provide accurate demand forecasts through the utilisation of an AI-based adaptive demand forecasting model. The novel demand-forecast modelling technique, which was introduced to model demand in the case study, has been utilised to supply reasonably accurate demand forecasts to other stages of processing in the management system. The forecasts are generated from this model, by monitoring and controlling the forecasting error to ensure consistent and satisfactory forecasts. 2. Make optimum decisions concerning the operation of the power generators by considering the economic and the environmental costs. In order to deal with the complexity of the operational conditions, a smart and adaptive generation scheduling method was implemented for the case study. The method was primarily applied to control the charging/ discharging process of the Storage Devices (SDs) among the other generators. The proposed method aims at controlling the resources, and extracting the benefit of having an hourly based variable generation cost. 3. Integrate the microgrid into the electricity market, in order to enable the microgrid to offer its spinning and non-spinning power generation reserve as Ancillary Services (AS) to the grid. To this end, studying the operational mechanisms of the Australian market was essential prior to building the proposed market participation rules which form an integral part of the proposed management system. As a result we used the market data, by approaching the market operators to create a semi-realistic competitive market environment for our simulations. Consequently, a smart and adaptive pricing mechanism, that adapts the AS prices to the amount of electricity on offer, and the level of demand in the market has been presented. The motivation for introducing the proposed management system, is to achieve a transition plan for current microgrids, so that they can have a commercial connection to the future Smartgrid. The results obtained in this work show that there is a signi_cant economic and environmental advantage to be gained from utilising intelligence when managing electricity generation within a power grid. As a consequence, selecting the appropriate management strategy is fundamental to the success of the proposed management system. In conclusion, modelling of the proposed strategies using MAS technology has proven to be a successful approach, and one that is able to reflect the human attitude; in making critical decisions and in reducing the cost of generation.
APA, Harvard, Vancouver, ISO, and other styles
10

Calvillo, Munoz Christian Francisco. "Energy Management in Smart Cities." Doctoral thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215508.

Full text
Abstract:
Models and simulators have been widely used in urban contexts for many decades. The drawback of most current models is that they are normally designed for specific objectives, so the elements considered are limited and they do not take into account the potential synergies between related systems. The necessity of a framework to model complex smart city systems with a comprehensive smart city model has been remarked by many authors. Therefore, this PhD thesis presents: i) a general conceptual framework for the modelling of energy related activities in smart cities, based on determining the spheres of influence and intervention areas within the city, and on identifying agents and potential synergies among systems, and ii) the development of a holistic energy model of a smart city for the assessment of different courses of action, given its geo-location, regulatory and technical constraints, and current energy markets. This involves the creation of an optimization model that permits the optimal planning and operation of energy resources within the city. In addition, several analyses were carried out to explore different hypothesis for the smart city energy model, including: a)      an assessment of the importance of including network thermal constraints in the planning and operation of DER systems at a low voltage distribution level, b)      an analysis of aggregator’s market modelling approaches and the impact on prices due to DER aggregation levels, and c)      an analysis of synergies between different systems in a smart city context. Some of the main findings are: It is sensible to not consider network thermal constraints in the planning of DER systems. Results showed that the benefit decrement of considering network constraints was approximatively equivalent to the cost of reinforcing the network when necessary after planning without considering network constraints. The level of aggregation affects the planning and overall benefits of DER systems. Also, price-maker approaches could be more appropriate for the planning and operation of energy resources for medium to large aggregation sizes, but could be unnecessary for small sizes, with low expected impact on the market price. Synergies between different energy systems exist in an interconnected smart city context. Results showed that the overall benefits of a joint management of systems were greater than those of the independently managed systems. Lastly, the smart city energy model was applied to a case study simulating a real smart city implementation, considering five real districts in the southern area of Madrid, Spain. This analysis allowed to assess the potential benefits of the implementation of a real smart city programme, and showed how the proposed smart city energy model could be used for the planning of pilot projects. To the best of our knowledge, such a smart city energy model and modelling framework had not been developed and applied yet, and no economic results in terms of the potential benefits of such a smart city initiative had been previously reported.

QC 20171010

APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Smart city, Energy management, Energy simulation"

1

Zhou, Kaile, and Lulu Wen. "Residential Electricity Pricing Based on Multi-Agent Simulation." In Smart Energy Management, 183–202. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9360-1_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Canizes, Bruno, Tiago Pinto, João Soares, Zita Vale, Pablo Chamoso, and Daniel Santos. "Smart City: A GECAD-BISITE Energy Management Case Study." In Advances in Intelligent Systems and Computing, 92–100. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61578-3_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bedi, Pradeep, S. B. Goyal, Anand Singh Rajawat, Rabindra Nath Shaw, and Ankush Ghosh. "Application of AI/IoT for Smart Renewable Energy Management in Smart Cities." In AI and IoT for Smart City Applications, 115–38. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7498-3_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Liu, Hui, Nikolaos Nikitas, Yanfei Li, and Rui Yang. "Big Data Management of Smart City Energy Conservation and Emission Reduction." In Management for Professionals, 169–95. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8965-9_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

John, A., T. Ananth Kumar, M. Adimoolam, and Angelin Blessy. "Energy Management and Monitoring Using IoT with CupCarbon Platform." In Green Computing in Smart Cities: Simulation and Techniques, 189–206. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48141-4_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kaldate, Avinash, Amarsingh Kanase-Patil, and Shashikant Lokhande. "Artificial Intelligence Based Integrated Renewable Energy Management in Smart City." In Engineering Optimization: Methods and Applications, 1–20. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4502-1_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sampathkumar, A., S. Murugan, M. Sivaram, Vishnu Sharma, K. Venkatachalam, and Manikandan Kalimuthu. "Advanced Energy Management System for Smart City Application Using the IoT." In Internet of Things in Smart Technologies for Sustainable Urban Development, 185–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34328-6_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bisoyi, Bhubaneswari, Biswajit Nayak, Biswajit Das, and Srinivas Subbarao Pasumarti. "Urban Resilience and Inclusion of Smart Cities in the Transformation Process for Sustainable Development: Critical Deflections on the Smart City of Bhubaneswar in India." In Advances in Power Systems and Energy Management, 149–60. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Amutha, W. Margaret, and V. Rajini. "Real-Time Energy Management System for Solar-Wind-Battery fed Base Transceiver Station." In Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications, 109–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24051-6_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Tete, Pranjali, Puneet Kedar, Mahendra Gupta, and Sandeep Joshi. "Numerical Simulation of a Finned-Surface Prismatic Lithium-Ion Battery Thermal Management System." In Smart Technologies for Energy, Environment and Sustainable Development, Vol 1, 811–20. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6875-3_64.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Smart city, Energy management, Energy simulation"

1

Yoon, Guwon, Haneul Shin, Hyeyoon Jung, Keonhee Cho, Sanghoon Lee, and Sehyun Park. "Prediction Model for Energy Sharing and Carbon Emission Management based on Distributed Solar Power Simulation in Smart City." In 2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS). IEEE, 2022. http://dx.doi.org/10.1109/icps54075.2022.9773831.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Papas, Ilias, Bruno Estibals, Christelle Ecrepont, and Corinne Alonso. "Testing and evaluation of dynamic energy simulations for the development of an intelligent management of energy for the ADREAM smart building." In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2017. http://dx.doi.org/10.1109/uic-atc.2017.8397403.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Boyer, Jeffrey L., Mehdi Jalayerian, Andrew Silverstein, and Mohamad T. Araji. "Systems Integration for Cost Effective Carbon Neutral Buildings: A Masdar Headquarters Case Study." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90335.

Full text
Abstract:
Essential to the development of a low carbon economy will be the advancement of building product and process to reduce the capital and whole lifecycle cost of low, zero and net-positive energy buildings to allow these structures to be realized at a greater rate. On the whole, the built environment is responsible for one of the largest fractions of global energy consumption and thus anthropomorphic climate change, a result of the greenhouse gas emissions from power generation. When one also considers the energy required to design, fabricate, transport and construct the materials necessary to bring new building stock online, keeping pace with the rapid trend towards urbanization, the importance of the built environment in the energy sustainability equation is clearly evident. Yet, while technologically feasible, the realization of carbon neutral buildings is encumbered by the perception of increased annualized costs for operation and a greater upfront investment. This paper will review the design case of the Masdar International Headquarters, the flagship building of the net-zero carbon emission Masdar city currently being developed within the Abu Dhabi Emirates. Specifically, how an integrated approach enabled by computer simulation early within the design process allowed for improvements in economy and efficiency, setting a model for future high performance buildings. The five-story, 89,040-square-meter office building will incorporate eleven sculpted glass environmental towers to promote natural ventilation and introduce daylight to the interior of the building. These towers will also serve as the structural support for one of the world’s largest building integrated photovoltaic arrays, sized to supply 103% of the building’s total annual energy requirements while protecting the building and roof garden from intense heat and solar gains. Moreover, by integration into a separate structural trellis system, clean energy can potentially be generated to offset construction requirements while dually shading workers below during the heat of the day. This, along with other key sustainability design strategies such as a solar powered central district cooling system, thermoactive foundation piling, underfloor air distribution, desiccant dehumidification, a nanotechnology enabled building envelope and smart grid enabled facilities management infrastructure will allow the Masdar Headquarters to reach carbon neutrality within a decade, allowing for the remaining century of its operation to serve as a platform for clean energy generation.
APA, Harvard, Vancouver, ISO, and other styles
4

Cheng, K. W. E. "Energy management system for mobility and smart city." In 2016 International Symposium on Electrical Engineering (ISEE). IEEE, 2016. http://dx.doi.org/10.1109/eeng.2016.7846366.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Takanokura, Masato, Masayuki Matsui, and Hao Tang. "Energy management with battery system for smart city." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896373.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Burbano, Ary Mauricio, Antonio Martin, Carlos Leon, and Enrique Personal. "Challenges for citizens in energy management system of smart cities." In 2017 Smart City Symposium Prague (SCSP). IEEE, 2017. http://dx.doi.org/10.1109/scsp.2017.7973850.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bertoncini, Massimo. "Multi-resource Optimized Smart Management of Urban Energy Infrastructures for Improving Smart City Energy Efficiency." In 4th International Conference on Smart Cities and Green ICT Systems. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005499001070114.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kwok Shing Wong, W. Chan, Ming Lam Suen, and K. W. E. Cheng. "Intelligent Switch and Smart Energy Storage for Smart City Development." In 11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1832.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zhou, Yimin, Yanfeng Chen, Guoqing Xu, Chunhua Zheng, and Ming Chang. "Home Energy Management in Smart Grid with Renewable Energy Resources." In 2014 UKSim-AMSS 16th International Conference on Modelling and Simulation (UKSim). IEEE, 2014. http://dx.doi.org/10.1109/uksim.2014.46.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kim, Seunghwan, Myeong-in Choi, Sanghoon Lee, Hyeonghu Park, and Sehyun Park. "Intelligent Management System with Energy Data Block in Smart City." In 2020 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2020. http://dx.doi.org/10.1109/icce46568.2020.9043059.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Smart city, Energy management, Energy simulation' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography