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Demand-Response in Smart Buildings

This book represents the Special Issue of Energies, entitled "Demand-Response in Smart Buildings", that was published in the section "Energy and Buildings". This Special Issue is a collection of original scientific contributions and review papers that deal with smart buildings an...

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Bibliographic Details
Main Author: Kolokotsa, Denia
Other Authors: Pignatta, Gloria, Gobakis, Kostas
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Resource Allocation
Energy Flexibility
Microgrid
Processing Time
Retrofitting Interventions
Genetic Algorithm
Requests Time
Energy Sources
Energy Efficiency
Slovakia
History Of Engineering And Technology / Bicssc
Residential Consumption
Smart Cities
Artificial Neural Network
Optimisation
Fog Computing
Demand Response
Water-energy Nexus
Energy Management
Smart Grid
Smart Energy Management
Energy Resource
Electrification In The Built Environment
Low-carbon Mobility
Response Time
Power Predictions
Energy Security
India
Cloud Computing
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This book represents the Special Issue of Energies, entitled "Demand-Response in Smart Buildings", that was published in the section "Energy and Buildings". This Special Issue is a collection of original scientific contributions and review papers that deal with smart buildings and communities. Demand response (DR) offers the capability to apply changes in the energy usage of consumers-from their normal consumption patterns-in response to changes in energy pricing over time. This leads to a lower energy demand during peak hours or during periods when an electricity grid's reliability is put at risk. Therefore, demand response is a reduction in demand designed to reduce peak load or avoid system emergencies. Hence, demand response can be more cost-effective than adding generation capabilities to meet the peak and/or occasional demand spikes. The underlying objective of DR is to actively engage customers in modifying their consumption in response to pricing signals. Demand response is expected to increase energy market efficiency and the security of supply, which will ultimately benefit customers by way of options for managing their electricity costs leading to reduced environmental impact.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (112 p.)
ISBN:9783039282678
books978-3-03928-267-8
9783039282661

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