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Energy Services for Intelligent and Sustainable Buildings, Districts and Cities

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 2766

Special Issue Editors


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Guest Editor
Institute of Software Technology, Graz University of Technology, 8010 Graz, Austria
Interests: smart energy systems; modeling; optimization; cyber-physical systems; active consumer participation

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Guest Editor
Pacific Northwest National Laboratory, Richland, WA 99352, USA
Interests: modeling and control of energy systems; model predictive control; domain-aware deep learning; constrained optimization

Special Issue Information

Dear Colleagues,

The energy sector is the biggest greenhouse gas emitting sector in the world. To reduce greenhouse gas emissions from the energy sector, (i) the energy demand must decline, (ii) the efficiency of energy generation and distribution must improve, and (iii) the share of renewable energy must substantially increase. The emergence of smart systems, the omnipresent availability of data, and recent advances in modelling and optimization has led to completely new possibilities for various energy services. Energy services include a variety of activities, such as energy analysis and audits, energy management, project design and implementation, maintenance and operation, monitoring and evaluation of savings, property management, and energy and equipment supply.

This special issue aims to consolidate recent advances in the field of energy services for intelligent and sustainable buildings, districts and cities. Topics of interest for the special issue include (but are not limited to):

  • Demand response
  • Control (such as model predictive control and reinforcement learning)
  • Peak load management
  • Storage management
  • Maintenance
  • Fault detection
  • Active consumer participation in smart energy systems
  • Data-driven methods (for various energy services)
  • Domain-aware machine learning (for various energy services)
  • Modelling and simulation techniques (for various energy services)
  • Co-simulation techniques (for various energy services)
  • Results from pilot studies
  • Internet of Things platforms for smart energy systems

Dr. Gerald Schweiger
Dr. Ján Drgoňa
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. Sustainability 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 2400 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

  • smart energy systems
  • energy services
  • modelling
  • optimization
  • artificial intelligence
  • active consumer participation

Published Papers (1 paper)

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Research

24 pages, 5930 KiB  
Article
End Use Energy Services Framework Co-Creation with Multiple Stakeholders—A Living Lab-Based Case Study
by Omar Shafqat, Elena Malakhtka, Nina Chrobot and Per Lundqvist
Sustainability 2021, 13(14), 7565; https://0-doi-org.brum.beds.ac.uk/10.3390/su13147565 - 06 Jul 2021
Cited by 4 | Viewed by 1943
Abstract
End use energy services have an important role in the ongoing energy transition process by improving the value proposition to the customer through better needs fulfillment and experience and providing system value to the energy system. This study presents a framework for end [...] Read more.
End use energy services have an important role in the ongoing energy transition process by improving the value proposition to the customer through better needs fulfillment and experience and providing system value to the energy system. This study presents a framework for end use energy services, developed as a result of co-creation with multiple stakeholders for a case study in a living lab context. The framework has been co-created using the principles of systems thinking to identify and map both existing and emerging elements and interactions within the energy system and customers. The framework is organized to include aspects from energy system and human system perspectives and divides the energy services development process into three distinct stages. The development stages comprise the strategic planning stage, service design stage, and solution stage. Key considerations are provided for each stage to develop a clearer understanding of the overall end use energy service process. Full article
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