Energy integration and interaction between buildings and vehicles: A state-of-the-art review

Zhou, Yuekuan; Cao, Sunliang; Hensen, Jan; Lund, Peter

doi:10.1016/j.rser.2019.109337

Cited by 99 publications

(43 citation statements)

References 119 publications

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“…Other aspects, such as building mass and energy storage, have to be included in future energy systems [29]. Energy storage can provide needed flexibility and resilience to buildings [30]. All the above-mentioned issues and challenges call for large changes and renovation of the grids and energy systems so that all the issues can be addressed in an integrated and holistic way.…”

Section: Reasons For Positive Energy District (Ped) Solutions Instead Of Building Level and Zeb Soultionsmentioning

confidence: 99%

IEA EBC Annex83 Positive Energy Districts

et al. 2021

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At a global level, the need for energy efficiency and an increased share of renewable energy sources is evident, as is the crucial role of cities due to the rapid urbanization rate. As a consequence of this, the research work related to Positive Energy Districts (PED) has accelerated in recent years. A common shared definition, as well as technological approaches or methodological issues related to PEDs are still unclear in this development and a global scientific discussion is needed. The International Energy Agency’s Energy in Buildings and Communities Programme (IEA EBC) Annex 83 is the main platform for this international scientific debate and research. This paper describes the challenges of PEDs and the issues that are open for discussions and how the Annex 83 is planned and organized to facilitate this and to actively steer the development of PEDs major leaps forward. The main topics of discussion in the PED context are the role and importance of definitions of PEDs, virtual and geographical boundaries in PEDs, the role of different stakeholders, evaluation approaches, and the learnings of realized PED projects.

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Section: Reasons For Positive Energy District (Ped) Solutions Instead Of Building Level and Zeb Soultionsmentioning

confidence: 99%

IEA EBC Annex83 Positive Energy Districts

et al. 2021

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“…The authors in [43] have conducted a review on the interaction and integration of energy between the different types of buildings and electrical vehicles by considering various forms of energy, advanced conversion of energy, different energy storage system, and interactions of the hybrid grid.…”

Section: Literature Surveymentioning

confidence: 99%

Active Building as an Energy System: Concept, Challenges, and Outlook

et al. 2021

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Over the last decades, environmental concerns and the global tendency to reduce the use of fossil fuels and replacing them with renewable energy sources (RESs) to face the increasing rate of greenhouse gas (GHG) emissions have increased. Buildings consume a significant amount of energy and therefore, they are responsible for a noticeable part of the total GHG emission. Thus, when we talk about decarbonization of the energy systems, buildings are an important sector of the energy system that needs to be considered. Using RESs, smart technologies, and information and communication technologies along with the improvement in energy efficiency, are a number of endeavors to increase the role of building on the way toward decarbonization. In the new environment, the buildings are not passive players of the energy systems and they are able to take an active role and participate in the energy-efficient operation. While they are able to manage their resources and serve the local energy requirements of the residents in the best possible manner, they can participate in the energy and balancing markets and support the network operators as a service provider. In this paper, we present a comprehensive review of active buildings' concept, challenges and outlook to pave the way for the researchers from academia and industry who want to start working in this area.

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“…However, as trading decisions are typically made in advance, finer-grained predictions of available capacity become necessary, and support participation in larger and more numerous market events as a smaller buffer of vehicles is required to account for uncertainty. Such predictions also enable the use of the technology for scenarios with an inherently smaller vehicle population, such as individual communities or local vehicle-to-building applications [11].…”

Section: Introductionmentioning

confidence: 99%

Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid

et al. 2020

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Vehicle-to-grid services draw power or curtail demand from electric vehicles when they are connected to a compatible charging station. In this paper, we investigated automated machine learning for predicting when vehicles are likely to make such a connection. Using historical data collected from a vehicle tracking service, we assessed the technique's ability to learn and predict when a fleet of 48 vehicles was parked close to charging stations and compared this with two moving average techniques. We found the ability of all three approaches to predict when individual vehicles could potentially connect to charging stations to be comparable, resulting in the same set of 30 vehicles identified as good candidates to participate in a vehicle-to-grid service. We concluded that this was due to the relatively small feature set and that machine learning techniques were likely to outperform averaging techniques for more complex feature sets. We also explored the ability of the approaches to predict total vehicle availability and found that automated machine learning achieved the best performance with an accuracy of 91.4%. Such technology would be of value to vehicle-to-grid aggregation services.

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Energy integration and interaction between buildings and vehicles: A state-of-the-art review

Cited by 99 publications

References 119 publications

IEA EBC Annex83 Positive Energy Districts

IEA EBC Annex83 Positive Energy Districts

Active Building as an Energy System: Concept, Challenges, and Outlook

Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid

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