5.12 Energy Management in Smart Cities

Abstract

The Degree Certificates are giving reference to the joint programme. The doctoral candidates are jointly supervised, and must pass a joint examination procedure set up by the three institutions issuing the degrees. This Thesis is a part of the examination for the doctoral degree. The invested degrees are official in Spain, the Netherlands and Sweden, respectively. SETS Joint Doctorate was awarded the Erasmus Mundus excellence label by the European Commission in year 2010, and the European Commission's Education, Audiovisual and Culture Executive Agency, EACEA, has supported the funding of this programme. The EACEA is not to be held responsible for contents of the Thesis. vi Energy Management of Smart Cities Christian F. Calvillo Muñoz Energy Management of Smart Cities 1 Christian F. Calvillo Muñoz Chapter 7 Complete smart city energy model: aggregated DER and transport systems with active market participation Chapter 8 Conclusions, contributions and future work Chapter 1 Energy Management of Smart Cities 9 Christian F. Calvillo Muñoz 2 2 LITERATURE REVIEW This chapter presents the identification of energy systems task, corresponding to the smart city energy model methodology described in section 1.3. This includes the evaluation of energy systems available in a smart city, assessing their importance and possible synergies, in addition to the review of the existing models and tools, to select which ones could be used. The first part of the chapter introduces an overview of energy related work on planning and operation models within the smart city by classifying their scope into five main intervention areas. These areas are generation, storage, infrastructure, facilities, and transport. Then, more complex urban energy models integrating more than one intervention area are reviewed, outlining their advantages and limitations, existing trends and challenges, as well as some relevant smart cities applications. With this revision, important elements and possible synergies in the smart city are identified, and a framework for developing a comprehensive smart city energy model is proposed, along with some additional recommendations. Therefore, the main contributions of this chapter are, first, a comprehensive literature review of smart city energy systems and related modelling tools, classifying them in five intervention areas, and second, a framework with guidelines and recommendations for developing a comprehensive smart city energy model.

Smart Building Integration into a Smart City (SBISC): Development of a New Evaluation Framework

“…Thus, the terms "smart building" and "smart city" are widely discussed by researchers, industry professionals, the community, and representatives at the city and higher governance levels. The EU policy focuses on developing ISO standards of certain smart city areas [4], the funding of smart cities lighthouse projects [5], and on financial incentives for smart buildings and smart city elements [6].…”

Impact of Remote Working on Human Resource Management: The Role of IT in the COVID-19 ERA

“…Remote working in banking industry includes integrated planning, policy and regulations, sustainable infrastructure, real time communication and processes which were prompted by the advancements in ICT. The technological aspects of home office working are cyber physical systems (CPS), Internet of Things (IOT), and advanced connectivity [30]. These systems collect real time data, which are stored in the web and transmuted through internet networks like constant flow of information among different devices, components, and systems [31].…”

The role of Remote Working in smart cities: lessons learnt from COVID-19 pandemic

“…The concept of smart cities has been prompted by the advancements in ICT. Their technological basis is smart automation of Cyber-Physical Systems (CPS) with decentralized control and advanced connectivity enabled by Internet-of-Things (IoT) functionalities (Fokaides, Apanaviciene, and Klumbyte 2018). Such systems have both physical and virtual identities, where smart sensors measure and collect real-time data, which are stored in data clouds and transferred through internet networks such as a continuous flow of information between a number of devices, components, and systems is enabled (Apanaviciene, Vanagas, and Fokaides 2020).…”