Distributed energy generation in smart cities

Calvillo, Christian; Sánchez, Álvaro; Villar, José

doi:10.1109/icrera.2013.6749744

Cited by 19 publications

(17 citation statements)

References 15 publications

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“…However, as these systems and grids are on a small scale, they do not yet show a considerable impact economically or environmentally. Economic feasibility of the systems is still under studies and show the prospects of hybrid systems more suitable to the citizens [10] and often not very profitable [11]. Thereby the idea of smart cities and communities emerge independence on monopolist but urge the society to think systematically and act with solidarity.…”

Section: Small Scale Wind Turbine (Sswt) Challengesmentioning

confidence: 98%

Synergies of Wind Turbine control techniques

Bertašienė

Azzopardi

2015

Renewable and Sustainable Energy Reviews

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Section: Small Scale Wind Turbine (Sswt) Challengesmentioning

confidence: 98%

Synergies of Wind Turbine control techniques

Bertašienė

Azzopardi

2015

Renewable and Sustainable Energy Reviews

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“…Reference [37] presents a feasibility analysis of GHP, PV, and other co-generation technologies for buildings, but the level of detail in the system models, demand profiles, and energy-production calculation might be insufficient for an accurate economic analysis (only one scenario is analysed, and many of the input parameters seem to be arbitrary). Unlike previous examples that consider only one or two sources, other works, such as [38] and [39], model several DG technologies and analyse their economic and technical feasibility. The former proposes an analytical method for the sizing of DG systems, while the latter proposes a linear programming problem to find the optimal DG capacity.…”

Section: Christian F Calvillo Muñozmentioning

confidence: 99%

5.12 Energy Management in Smart Cities

Fokaides

Apanavičienė

Klumbytė

2018

Comprehensive Energy Systems

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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.

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“…Many available technologies can be successfully implemented in a smart city. A comprehensive revision of such technologies is presented in [9], remarking their advantages and disadvantages, typical applications and costs.…”

Section: Generation Modelsmentioning

confidence: 99%

“…If relevant location aspects are not considered, and/or if the system is not optimally scaled given the application; then, accurate economic feasibility analyses cannot be performed, and might compromise the success of such DG projects. This paper address the aforementioned problem, and follows the work presented in [9], by proposing several linear programing problems to find the optimal scaling and operation of different generation technologies and storage systems under 9 different electricity pricing scenarios. The resulting economic analysis defines the best technology mix for every scenario, assisting investors in finding the most profitable system for the selected application while improving the reliability and sustainability of the energy supply.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and optimal scaling of distributed generation systems in a smart city

Calvillo

Sánchez

Villar

2013

WIT Transactions on Ecology and the Environment

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Distributed generation (DG) represents an important resource to address relevant energy issues, such as reliability and sustainability, in the current and future smart cities. It is expected that distributed generation will gain considerable presence in the following years; however, the selection and sizing of the generation and storage systems is commonly done without an adequate level of detail. This simplified or approximated approach usually results in a suboptimal technology mix with an inadequate type of system and/or scale, which could compromise the economic feasibility of the DG project. To tackle this problem, stakeholders should consider many factors, including geographical characteristics (sun, wind …), energy costs, local regulation, and energetic demand patterns, apart from analysing different technologies. Considering as an example location the city of Madrid, Spain, this paper proposes a linear programming model to evaluate the most common distributed generation technologies, with and without storage systems and under different electricity pricing scenarios. As a result, not only the optimal sizing, but also the optimal operation scheduling of the aforementioned systems are found. Then, an economic feasibility analysis is developed, comparing the different technologies and defining the best option for a given scenario. Furthermore, this study helps to find important milestones, such as battery prices, that could make distributed generation more attractive.

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Distributed energy generation in smart cities

Cited by 19 publications

References 15 publications

Synergies of Wind Turbine control techniques

Synergies of Wind Turbine control techniques

5.12 Energy Management in Smart Cities

Evaluation and optimal scaling of distributed generation systems in a smart city

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