Renewable Energy and Energy Storage in Smartgrid Perspective

A special issue of Smart Cities (ISSN 2624-6511).

Deadline for manuscript submissions: closed (30 August 2019) | Viewed by 4409

Special Issue Editors


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Guest Editor
Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark
Interests: power electronics; electrical drives; renewable energy; power electronics converter; modulation techniques; grid connected system
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia
Interests: energy transition; sustainable development goal 7 (SDG7); nationally determined contributions (NDCs); renewable energy and energy efficiency; sustainability in industries and building sector
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Renewable Energy Lab, Prince Sultan University, Riyadh 12435, Saudi Arabia
Interests: sliding mode; networked control systems; hybrid dynamical systems; nonlinear control; robust control

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Guest Editor
Program Manager, R&D, Renewable Energies, Schneider Electric, Bangalore, India
Interests: demand response; energy storage; energy management system

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Guest Editor
Head of Power Systems, Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, Malaysia
Interests: power systems; renewable energy; application of power electronics; smart grid; electric vehicle; energy storage

Special Issue Information

Dear Colleagues,

This Special Issue is intended as a forum for advancing research and for applying the most advanced control techniques in order to achieve accurate energy management systems, participate in demand response (D/R) events, participate in ancillary services like compensation of energy losses, F/V control and power flow control, the management of energy storage systems (ESS), the optimization of battery usage in electric vehicles (EV), maximize the self-consumption of available distributed energy resources, the trading of excess energy, the optimization of contracted energy profile, monitoring and data management, the transfer of energy consumption by tariff/load shifting, and the ability to deal with power outages. The expected outcomes will be a grid with self-resiliency, adaptive and accurate control to optimize the energy management system, and remote monitoring and prediction of battery performance.

Dr. Padmanaban Sanjeevikumar
Dr. Umashankar Subramaniam
Dr. Dhafer Almakhles
Dr. Swaminathan Ganesan
Prof. Dr. Vigna K. Ramachandaramurthy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Smart Cities is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • power electronics
  • energy management
  • energy storage
  • renewable energy
  • micro grid
  • power quality
  • artificial intelligence
  • control system
  • stability
  • renewable energy
  • optimization

Published Papers (1 paper)

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Research

25 pages, 5336 KiB  
Article
Estimation of Energy Activity and Flexibility Range in Smart Active Residential Building
by Viktor Stepaniuk, Jayakrishnan Radhakrishna Pillai, Birgitte Bak-Jensen and Sanjeevikumar Padmanaban
Smart Cities 2019, 2(4), 471-495; https://doi.org/10.3390/smartcities2040029 - 4 Nov 2019
Cited by 8 | Viewed by 3570
Abstract
The smart active residential buildings play a vital role to realize intelligent energy systems by harnessing energy flexibility from loads and storage units. This is imperative to integrate higher proportions of variable renewable energy generation and implement economically attractive demand-side participation schemes. The [...] Read more.
The smart active residential buildings play a vital role to realize intelligent energy systems by harnessing energy flexibility from loads and storage units. This is imperative to integrate higher proportions of variable renewable energy generation and implement economically attractive demand-side participation schemes. The purpose of this paper is to develop an energy management scheme for smart sustainable buildings and analyze its efficacy when subjected to variable generation, energy storage management, and flexible demand control. This work estimate the flexibility range that can be reached utilizing deferrable/controllable energy system units such as heat pump (HP) in combination with on-site renewable energy sources (RESs), namely photovoltaic (PV) panels and wind turbine (WT), and in-house thermal and electric energy storages, namely hot water storage tank (HWST) and electric battery as back up units. A detailed HP model in combination with the storage tank is developed that accounts for thermal comforts and requirements, and defrost mode. Data analytics is applied to generate demand and generation profiles, and a hybrid energy management and a HP control algorithm is developed in this work. This is to integrate all active components of a building within a single complex-set of energy management solution to be able to apply demand response (DR) signals, as well as to execute all necessary computation and evaluation. Different capacity scenarios of the HWST and battery are used to prioritize the maximum use of renewable energy and consumer comfort preferences. A flexibility range of 22.3% is achieved for the scenario with the largest HWST considered without a battery, while 10.1% in the worst-case scenario with the smallest HWST considered and the largest battery. The results show that the active management and scheduling scheme developed to combine and prioritize thermal, electrical and storage units in buildings is essential to be studied to demonstrate the adequacy of sustainable energy buildings. Full article
(This article belongs to the Special Issue Renewable Energy and Energy Storage in Smartgrid Perspective)
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