Suchergebnisse

Predictive Energy Management for Fuel Cell Hybrid Electric Vehicles (Zhou) -- Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level based on Battery Aging (López-Ibarra) -- Stochastic Optimization Methods for the Stochastic Storage Processes Control (Knopov) -- Challenges for a Massive Integration of Flexible Resources in LV Networks (Arboleya) -- Electrical railway power supply systems for high-speed lines: from traditional grids to smart grids (Castano-Solisr) -- Energy-efficient scheduling of intra-terminal container transport (Homayouni) -- Learning-based Control for Hybrid Battery Management Systems (Castro) -- Robust, Resilient, and Energy Efficient Satellite Formation Control (Phillips) -- A Methodology for the Assessment of Efficiency in Systems under Transient Conditions: Case Study for Hybrid Storage Systems in Elevators (García) -- A holistic approach to the energy-efficient smoothing of traffic via autonomous vehicles (Hayat) -- Optimal energy management of electric vehicles supplied by battery and supercapacitors: A multi-objective approach (Nguyen) -- Transient Stability and Protection Evaluation of Distribution Systems with Distributed Energy Resources (Morais) -- Fuzzy Logic Control for Motor Drive Performance Improvement in EV Applications (C. Ta).

This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented

This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.

Health impacts and a decrease in the quality of life caused by air pollution is a major problem worldwide. Krakow is one of the most affected cities in the EU by air pollution mostly caused by burning solid fuels in households&rsquo ; furnaces. It is considered that the most effective remedies would be adequate spatial planning solutions and application of low-emission sources including renewable energy sources (RES). This article draws from the analysis of the use of RES as a means for reducing harmful emissions in Krakow Functional Area (KrOF). The inventories of renewable energy sources and systems were compiled by the authors as a part of the EU project &ldquo ; Smart Edge &ndash ; Sustainable Metropolitan Areas and the Role of The Edge City&rdquo ; . Using the data from the inventories, a SWOT analysis has been carried out to identify factors that determine the smart management of the RES potential, particularly the decisions of households on the transition towards RES. The results of the analysis have shown that many actions have been taken at the national, regional, and local levels but the greatest influence bear the solutions initiated and implemented at the communal level. The conclusion is that legislative regulations should be combined with locally tailor-made instruments. The proposed method of analysis can be applied in other metropolitan areas as a diagnostic procedure supporting action planning to solve air-quality problems caused by distributed emission sources.

Solar energy is widely considered as one of the most attractive renewable energy source to curb CO2 emissions at residential level where micro-cogeneration has a very interesting potential. One promising application of solar energy is in combination with Organic Rankine Cycle (ORC) plants due to the ability to utilize low-medium temperature heat sources. However, because of the intermittent availability of solar energy, thermal energy storage (TES) systems are required to improve the performance of such systems and assure their prolonged operation. At medium temperatures, latent heat thermal energy storage (LHTES) systems allow to effectively store and release the collected thermal energy from the solar field. However, room for improvements exists to increase their efficiency when in operation. For this reason, in this work the authors have numerically investigated the performance of a 2 kWe micro-solar ORC plant coupled with an innovative LHTES system that is going to be built and tested under the EU funded project Innova MicroSolar. The novel LHTES, developed and designed by some partners of the Consortium, is subdivided into six modules and consists of 3.8 tons of high-temperature phase change material. In this study the effect of the storage volume partialization on the performance of the integrated plant is evaluated using a fuzzy logic approach. Main aim of the storage management is to achieve a reduction of the thermal losses and improve the plant overall efficiency. Annual dynamic simulations are performed in order to determine the optimal storage volume needed in different operating conditions. Results clearly show a remarkable annual increase in electric and thermal energy production of 8 % and 6 % respectively, in comparison with the configuration without fuzzy logic control: this achievement was obtained decreasing the working LHTES modules in winter and conversely increasing them in summer. ; This study is a part of the Innova MicroSolar Project, funded in the framework of the European Union's Horizon 2020 Research and Innovation Programme (grant agreement No 723596).

This paper discusses Smart Energy Manager (SEM) mobile application for energy management in smart buildings which is developed as a result of the ongoing H2020 projects InBetween and Sofia. SEM app belongs to the visualization layer of the InBetween platform serving as an interface from the system towards the end users with the aim to help them to identify their energy wastes, teach them how to conserve energy and steer their behavior to be more energy efficient. The application is based on Android OS, and it relies on a backend built with CakePHP framework which is used to integrate the application with the rest of the InBetween platform, its main data storage and advanced energy analytic services. Finally, we present the main functionalities of the app along with the data scheme which is used to store users and deployed equipment related data. This work was partly financed by the European Union (H2020 InBetween project, Pr. No: 768776), H2020 LAMBDA project, Pr. No: 809965) and by the Ministry of Science and Technological Development of Republic of Serbia (Pr. No: TR-32010).

This paper presents the demonstration of an energy resources management approach using a physical smart city model environment. Several factors from the industry, governments and society are creating the demand for smart cities. In this scope, smart grids focus on the intelligent management of energy resources in a way that the use of energy from renewable sources can be maximized, and that the final consumers can feel the positive effects of less expensive (and pollutant) energy sources, namely in their energy bills. A large amount of work is being developed in the energy resources management domain, but an effective and realistic experimentation are still missing. This work thus presents an innovative means to enable a realistic, physical, experimentation of the impacts of novel energy resource management models, without affecting consumers. This is done by using a physical smart city model, which includes several consumers, generation units, and electric vehicles. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 641794 (Project DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the Project UID/EEA/00760/2013. Bruno Canizes is supported by FCT Funds through the SFRH/BD/110678/2015 Ph.D. scholarship.

This paper presents the demonstration of an energy resources management approach using a physical smart city model environment. Several factors from the industry, governments and society are creating the demand for smart cities. In this scope, smart grids focus on the intelligent management of energy resources in a way that the use of energy from renewable sources can be maximized, and that the final consumers can feel the positive effects of less expensive (and pollutant) energy sources, namely in their energy bills. A large amount of work is being developed in the energy resources management domain, but an effective and realistic experimentation are still missing. This work thus presents an innovative means to enable a realistic, physical, experimentation of the impacts of novel energy resource management models, without affecting consumers. This is done by using a physical smart city model, which includes several consumers, generation units, and electric vehicles. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 641794 (Project DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the Project UID/EEA/00760/2013. Bruno Canizes is supported by FCT Funds through the SFRH/BD/110678/2015 Ph.D. scholarship. ; info:eu-repo/semantics/publishedVersion

Malta, or more specifically the Maltese Archipelago, comprises the inhabited islands of Malta, Gozo and Comino, together with a few uninhabited islands, collectively termed as Malta. As an entity, Malta, after its independence from the United Kingdom in 1964, and after becoming a democratic republic in 1974, joined the European Union in 2004. It is concurrently part of the Commonwealth of Nations and the United Nations. It is an independent Island State and has had its own self government since 1964. As a hierarchical system of governance, Malta has a President, as head of state, the Prime Minister, Parliament, and finally Local Councils (equivalent to Municipalities — albeit on a town- scale). ; peer-reviewed

A brilliant city misuses feasible data and correspondence innovations to improve the quality and the presentation of urban administrations for natives and government, while decreasing assets utilization. Wise vitality control in structures is a significant viewpoint in this. The Internet of Things can give an answer. It means to associate various heterogeneous gadgets through the web, for which it needs an adaptable layered design where the things, the general population and the cloud administrations are consolidated to encourage an application task. Such adaptable IoT various leveled engineering model will be presented in this paper with a review of each key segment for astute vitality control in structures for keen urban communities. Manisha Kumari Singh | Prof. Avinash Sharma "Analysis of Energy Management Scheme in Smart City: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29446.pdf

A physical smart city model environment is used to presents the demonstration of an energy resources management approach. The demand for smart cities has been created by several factors from the governments, society and industry. Thus, smart grids focus on the intelligent management of energy resources in order to maximize the usage of the energy from renewable sources in order to the final consumers feel the positive effects of less expensive (and pollutant) energy sources, namely in their energy bills. A large amount of work is being developed in the energy resources management domain, but an effective and realistic experimentation are still missing. This paper presents a realistic and physical experimentation of the energy resource management. This is done by using a physical smart city model, which includes several consumers, generation units, and electric vehicles. ; This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013. Bruno Canizes is supported by FCT Funds through the SFRH/BD/110678/2015 PhD scholarship.