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Distributed Energy Resources Management

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ISBN: 9783038977186 Year: Pages: 236 DOI: 10.3390/books978-3-03897-719-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Science (General)
Added to DOAB on : 2019-03-21 15:50:41
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At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use.

Keywords

ac/dc hybrid microgrid --- adaptive droop control --- autonomous operation --- distributed generation --- energy management system --- aggregator --- optimal bidding --- electricity markets --- probabilistic programming --- microgrid --- uncertainty --- hierarchical game --- non-cooperative game (NCG) --- energy trading --- pricing strategy --- demand response --- distributed generation --- microgrid --- real-time simulation --- consensus algorithm --- diffusion strategy --- distributed system --- energy management system --- microgrid operation --- optimal operation --- microgrids --- renewable energy --- storage --- scheduling --- co-generation --- decision-making under uncertainty --- domestic energy management system --- energy flexibility --- interval optimization --- stochastic programming --- Unit Commitment (UC) --- Demand Response (DR) --- Demand Response Unit Commitment (DRUC) --- Cat Swarm Optimization (CSO) --- average consensus algorithm (ACA) --- black start --- local controller --- microgrid (MG) --- multi-agent system (MAS) --- power system restoration (PSR) --- demand-side energy management --- multiplier method --- Powell direction acceleration method --- advance and retreat method --- thermal comfort --- transmission line --- fault localization --- time series --- ARIMA --- discrete wavelet transformer --- demand response --- virtual power plant --- energy flexibility potential --- aggregators --- business model --- building energy flexibility --- aggregator --- clustering --- demand response --- distributed generation

Energy and Technical Building Systems - Scientific and Technological Advances

Authors: ---
ISBN: 9783039281787 9783039281794 Year: Pages: 220 DOI: 10.3390/books978-3-03928-179-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2020-04-07 23:07:09
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Future buildings require not only energy efficiency but also proper building automation and control system functionalities in order to respond to the needs of occupants and energy grids. These development paths require a focus on occupant needs such as good indoor climate, easy operability, and monitoring. Another area to be tackled is energy flexibility, which is needed to make buildings responsive to the price signals of electricity grids with increasing amounts of fluctuating renewable energy generation installed both in central grids and at building sites. This Special Issue is dedicated to HVAC systems, load shifting, indoor climate, and energy and ventilation performance analyses in buildings. All these topics are important for improving the energy performance of new and renovated buildings within the roadmap of low energy and nearly zero energy buildings. To improve energy performance and, at the same time, occupant comfort and wellbeing, new technical solutions are required. Occupancy patterns and recognition, intelligent building management, demand response and performance of heating, cooling and ventilation systems are some common keywords in the articles of this Special Issue contributing to future highly performing buildings with reliable operation.

Keywords

ice rinks --- air distribution solutions --- indoor air temperature gradient --- air handling unit configuration --- building energy efficiency --- building performance simulation --- energy and HVAC-systems in buildings --- energy piles --- validation --- floor slab heat loss --- energy --- computer simulations --- predictive rule-based control --- hourly CO2eq. intensity --- demand response --- energy flexibility --- n/a --- indoor environment quality --- thermal comfort --- personalized ventilation --- fuzzy logic --- environmental impact --- device efficiency --- air pollutant --- multi-households --- solid oxide fuel cell cogeneration system --- end-use energy consumption --- heating --- ventilation and air conditioning (HVAC) --- intelligent system management --- lighting electrical energy --- national electricity grid --- office building --- Photovoltaic system --- simulation --- Simulink® --- deep renovation --- energy retrofit --- detached house --- multi-objective optimization --- greenhouse gas emissions --- heat pump --- genetic algorithm --- occupancy density --- moisture conditions --- energy use --- indoor air quality --- ventilation rate --- KNX --- Neural Network (NN) --- Multilayer Perceptron (MLP) --- Random Tree (RT) --- Linear Regression (LR) --- Cloud Computing (CC) --- Internet of Things (IoT) --- LMS (Least Mean Squares) Adaptive filter (AF) --- gateway --- monitoring --- occupancy --- prediction --- IBM SPSS --- Intelligent Buildings (IB) --- energy savings

Energy Performance and Indoor Climate Analysis in Buildings

Authors: --- ---
ISBN: 9783039213795 9783039213801 Year: Pages: 374 DOI: 10.3390/books978-3-03921-380-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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HVAC systems, load shifting, indoor climate, and energy and ventilation performance analyses are the key topics when improving energy performance in new and renovated buildings. This development has been boosted by the recently established nearly zero energy building requirements that will soon be in use in all EU Member States, as well as similar long-term zero energy building targets in Japan, the US, and other countries. The research covered in this Special Issue provides evidence of how new technical solutions have worked, in practice, in new or renovated buildings, and also discusses problems and how solutions should be further developed. Another focus is on the more detailed calculation methods needed for the correct design and sizing of dedicated systems, and for accurate quantification of energy savings. Occupant behavior and building operation is also examined, in order to avoid common performance gaps between calculated and measured performance. These topics demonstrate the challenge of high performance buildings as, in the end, comfortable buildings with good indoor climate which are easy and cheap to operate and maintain are expected by end customers. Ventilation performance, heating and cooling, sizing, energy predictions and optimization, load shifting, and field studies are some of the key topics in this Special Issue, contributing to the future of high performance buildings with reliable operation.

Keywords

Jaya algorithm --- smart grid --- optimal energy management --- demand response --- demand side management --- indoor temperature after renovation --- electricity use --- DHW energy use --- user behavior --- standard use --- energy performance modeling --- gray box --- satellite-based solar radiation data --- meteorological reanalysis data --- ISO 52016-1 --- energy efficiency --- HVAC systems --- chiller plants --- chiller performance --- COP --- data-driven analysis --- energy --- building --- ventilation --- cooling --- outdoor air --- air jet --- personalized ventilation --- skin temperature --- CFD --- thermal analysis --- corner impinging jet --- mixing ventilation --- displacement ventilation --- tracer gas --- air exchange effectiveness --- local air change effectiveness --- draught rate --- Monte Carlo method --- ISO 7730 --- TRNSYS --- greenhouse --- indoor temperature uniformity --- multiple sensor nodes --- qualitative control --- corner impinging jet --- corner mixing ventilation --- hybrid displacement device --- heating mode --- thermal comfort --- air exchange effectiveness --- local air change effectiveness --- draught rate, --- downdraught --- smart buildings --- smart readiness indicator --- energy efficiency --- energy performance of buildings directive --- energy flexibility --- load shifting --- demand response --- building energy simulation --- occupant behavior --- energy performance --- indoor climate --- retirement home --- user input data --- condenser evaporative precooling --- rooftop air conditioners --- building energy modelling --- control strategy --- ground source heat pump --- heating power --- sizing --- DHW heating --- space heating --- alternate operation --- daylight --- existing buildings --- daylight factor --- daylight simulations --- daylight survey --- energy efficiency --- student dormitories --- Indoor Environmental Quality (IEQ), Pro-GET-onE H2020 --- in situ measurements --- monitoring measurements --- energy signature --- indoor air quality --- stratification --- basketball hall --- CFD --- field measurement --- single room ventilation unit --- building pressure condition --- stack effect --- wind pressure --- ventilation renovation --- decentralized ventilation unit

New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

Authors: ---
ISBN: 9783039282906 9783039282913 Year: Pages: 428 DOI: 10.3390/books978-3-03928-291-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Industrial Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

Keywords

cutting insert selection --- cutting parameter optimization --- artificial neural networks --- genetic algorithm --- connected enterprise --- smart manufacturing --- big data --- machine learning --- data reduction --- predictive analytics --- in-line dimensional inspection --- warm forming --- 3D mesh reconstruction --- optical system --- revolution workpiece --- defect detection --- polymer lithium-ion battery --- convolutional neural network --- deep learning --- blister defect --- flower pollination algorithm --- Industry 4.0 --- anomaly detection --- scheduling --- neural network --- skyline queries --- Cyber-Physical Systems (CPS) --- scalability test --- Internet of Things (IoT) --- INDUSTRY 4.0 --- economic recession --- research and development indicators --- maintenance expert --- competence --- decision support --- micro-armature --- defect detection --- convolutional neural networks --- computer vision --- capacity control --- job shop systems --- RMTs --- operator theory --- 4th industrial revolution --- industry 4.0 --- AHP --- QFD --- matching --- fibre of preserved Szechuan pickle --- contour detection --- dilated convolutions --- HED --- social network --- industry 4.0 --- industrial knowledge graph --- deep learning --- industrial big data --- intellectualization of industrial information --- digital manufacturing --- smart factory --- Industry 4.0 --- digital platforms --- automated surface inspection --- D-VGG16 --- bilinear model --- Grad-CAM --- classification --- localization --- elliptical paraboloid array --- self-calibration method --- vertex distance --- optical slope sensor --- geometric relationship --- relative angle --- fabric defect detection --- LGM --- FCM --- image smoothing --- Industry 4.0 --- marketing innovations --- innovative marketing tools --- impacts marketing innovations --- Industry 4.0 --- configure-to-order --- BIM --- construction equipment --- digital information flow --- lean assembly --- digital twins --- cyber-physical production systems --- depthwise separable convolution --- YOLOv3 --- feature pyramid --- aircraft structure crack detection --- industrial load management --- demand-side management --- demand-side response --- energy flexibility --- IT concept --- platform-based ecosystem --- control service --- smart service --- control as a service --- cloud-based control system --- automation system --- chatter --- train wheel --- smart system --- turning --- edge computing --- n/a

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