Smart energy systems for sustainable smart cities: Current developments, trends and future directions

O’Dwyer, Edward; Pan, Indranil; Acha, Salvador; Shah, Nilay

doi:10.1016/j.apenergy.2019.01.024

Cited by 264 publications

(92 citation statements)

References 189 publications

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“…Based on advanced algorithm and control techniques, Computational Intelligence and machine learning will enable to think about new optimization levels for the energy systems in a smart city. The new communication technologies and the related communication networks and connectivity have to be followed by a new cyber-security design for energy systems in a smart city (O'Dwyer et al, 2019). Supervisory Control and Data Acquisitions (SCADA) Systems will be confronted with new high-level processes for the supervisory management.…”

Section: Resultsmentioning

confidence: 99%

New Energy Policies for Smart Cities - a Comparison among Smart Cities in the European Union

D’Ascenzo

Tanțǎu

Savastano

et al. 2019

Proceedings of the International Conference on Business Excellence

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Given the current challenges of climate change our society is dealing with at a global level, the European Union develops a new energy policy based on clean energy. The package “Clean Energy for All Europeans”, which has been adopted by the European Commission in 2016, contains measures for a new energy policy at the level of the European Union, based on promoting an Energy Union by following a harmonized framework and common objectives. Considering this European policy debate an interesting topic, the present paper deals with the research question what will be the reaction of the business environment to the energy policy measures proposed by the European Commission in terms of innovation. Indeed, it focuses on innovative solutions based on clean energy, that will arise for achieving the three dimensions of social, economic and environmental sustainability, such as smart cities. The initiative of helping the development of smart cities is currently supported by the European Commission in the project “European Innovation Partnership on Smart Cities and Communities”. Innovative measures are related to new financing schemes for the new projects, as new investments are needed for implementing innovative solutions. Case studies from different Member States of the European Union, e.g. Italy, Austria and Romania, will illustrate the concept of smart cities and their development in the European Union allowing for an in depth analysis and comparison among the different business models implemented. The present work presents a mixed method approach based on the combination of both qualitative research methods, such as multiple-case studies and quantitative methods, represented by the analysis and triangulation of data and indicators provided by European institutions. Furthermore, this study presents a multidisciplinary perspective, considering aspects of European policy, European law, business and economics.

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Section: Resultsmentioning

confidence: 99%

New Energy Policies for Smart Cities - a Comparison among Smart Cities in the European Union

D’Ascenzo

Tanțǎu

Savastano

et al. 2019

Proceedings of the International Conference on Business Excellence

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“…By collecting data through placed sensors, today it is possible to significantly reduce the consumption of energy while improving the quality of life in indoor work and living spaces by automating systems for heating, cooling, lighting, etc. [75][76][77].…”

Section: Identification Of Factors Affecting the Smart Cities Conceptmentioning

confidence: 99%

Smart City: Modeling Key Indicators in Serbia Using IT2FS

Milošević

Stević³

et al. 2019

Sustainability

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Previous initiatives developed for the purpose of designing and the realization of a smart, sustainable city have shown that there is no single approach to make a city “smarter” and more sustainable. Each city represents a unique system where different stakeholders, local authorities, utility companies, and citizens undertake numerous activities, creating a matrix of interactions and interdependencies. In order to understand the ecological and social contexts of the city, as well as its priority activities, history, and specific features, the establishment of an appropriate methodology to support the establishment of a sustainable and smart city has become extremely important. Our research aims to explore key indicators in the development of the concept of the smart city in Serbia, and to assess the prioritization of activities. An integral approach based on a mathematical method a hybrid fuzzy Multi-criteria decision making (MCDM) model based on Interval type-2 fuzzy sets classifies the whole system through different criteria and sub-criteria while respecting the experts’ opinions. The aim is to offer modelled solutions for our country integrated with the EU by smart cities.

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“…Conversely, this multi-vector demand problem also presents opportunities for cross-cutting synergies to be exploited [4]. The proliferation of wireless sensing and communication networks and the more widespread adoption of Internet of Things (IoT) concepts provide the opportunity to reduce the environmental impacts of the energy sector while improving system resilience [5]. Key to achieving this is the suitable deployment of computational intelligence and advanced control strategies that can provide optimal operational energy management decisions in real time [6].…”

Section: Introductionmentioning

confidence: 99%

Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems

O’Dwyer

Pan

Charlesworth

et al. 2020

Sustainable Cities and Society

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As Internet of Things (IoT) technologies enable greater communication between energy assets in smart cities, the operational coordination of various energy networks in a city or district becomes more viable. Suitable tools are needed that can harness advanced control and machine learning techniques to achieve environmental, economic and resilience objectives. In this paper, an energy management tool is presented that can offer optimal control, scheduling, forecasting and coordination services to energy assets across a district, enabling optimal decisions under user-defined objectives. The tool presented here can coordinate different subsystems in a district to avoid the violation of high-level system constraints and is designed in a generic fashion to enable transferable use across different energy sectors. The work demonstrates the potential for a single open-source optimisation framework to be applied across multiple energy vectors, providing local government the opportunity to manage different assets in a coordinated fashion. This is shown through case studies that integrate low-carbon communal heating for social housing with electric vehicle charge-point management to achieve high-level system constraints and local government objectives in the borough of Greenwich, London. The paper illustrates the theoretical methodology, the software architecture and the digital twin-based testing environment underpinning the proposed approach.

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Smart energy systems for sustainable smart cities: Current developments, trends and future directions

Cited by 264 publications

References 189 publications

New Energy Policies for Smart Cities - a Comparison among Smart Cities in the European Union

New Energy Policies for Smart Cities - a Comparison among Smart Cities in the European Union

Smart City: Modeling Key Indicators in Serbia Using IT2FS

Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems

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