UBEM's archetypes improvement via data-driven occupant-related schedules randomly distributed and their impact assessment

Ferrando, Martina; Ferroni, Sibilla; Pelle, Martina; Tatti, Anita; Erba, S.; Shi, Xing; Causone, Francesco

doi:10.1016/j.scs.2022.104164

Cited by 27 publications

(4 citation statements)

References 48 publications

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“…The use of census and cadastral data has been adopted by many scientists to study urban energy-use, integrate other energy-related variables, and then improve energy modeling and strategies to reduce consumptions and greenhouse gas emissions [35,36]. The EUI of archetypes can be modeled in UBEM with process-driven tools (e.g., Design-Builder [37], EnergyPlus [29,34,38], IDA ICE [37]), or with data-driven analyses using measured data [38][39][40] or energy performance certificate (EPC) databases [37,41]. Similarly, the EUI of archetypes can also be evaluated after energy-saving interventions and applied on an urban scale.…”

Section: Literature Reviewmentioning

confidence: 99%

Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile

Mutani,

Alehasin,

Yang

et al. 2024

Buildings

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Greenhouse gas emissions depend on natural and anthropic phenomena; however, to reduce emissions, we can only intervene in terms of anthropic causes. Human activity is very different in various countries and cities. This is mainly due to differences in the type of urban environment, climatic conditions, socioeconomic context, government stability, and other aspects. Urban building energy modeling (UBEM), with a GIS-based approach, allows the evaluation of all the specific characteristics of buildings, population, and urban context that can describe energy use and its spatial distribution within a city. In this paper, a UBEM is developed using the characteristics and consumption of eight typical buildings (archetypes) in the climate zone of Santiago de Chile. The archetype-based UBEM is then applied to the commune of Renca, a critical suburb of Santiago, with the use of QGIS to analyze the energy demand for space heating and the potential for energy saving after four retrofitting interventions. Knowing the costs of the retrofitting interventions and the energy price, the simple payback time was evaluated with the reduction in GHG emissions. Starting from the actual building stock, the results show that the most effective retrofitting intervention for the commune of Renca is the thermal insulation of walls and roofs; due to the type of dwellings, this particular intervention could be more convenient if associated with the installation of solar technologies. This methodology can be replicated with the data used by urban planners and public administrations available for many Chilean cities and in other countries.

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Section: Literature Reviewmentioning

confidence: 99%

Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile

Mutani,

Alehasin,

Yang

et al. 2024

Buildings

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“…This characterization is encapsulated in "building archetypes", prototypes representative of entire building typologies based on factors such as (i) use destination, (ii) year of construction, and (iii) geographic location. These archetypes address issues related to data scarcity, normative reference data obsolescence, and the challenges of time-consuming monitoring campaigns [21], [22], [23].…”

Section: District Modelling and Simulationmentioning

confidence: 99%

Virtual energy sharing and energy communities for the Municipality of Milan: The case of the Chiaravalle area

Ferroni,

Causone,

Minchio

et al. 2024

E3S Web Conf.

Self Cite

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The development of virtual energy sharing in complex realities such as the territory of the Municipality of Milan requires the integration of political and social strategies, technical analyses and the use of more advanced urban modelling techniques. This work aims to describe the strategy developed by the Municipality of Milan for the implementation of energy communities and virtual energy sharing, on the basis of current legislation, with reference to the case study of the Chiaravalle area. In order to carry out studies on the area, UBEM (Urban Energy Modelling) models were developed and various intervention scenarios were analysed. The results of the analysis and the technical and strategic evaluations developed are presented.

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“…Ferrando et al [46], based on a study developed in 21 buildings in Milan, created data-driven schedules for electric use and occupancy from smart meters and assessed the impact of these schedules on energy results of UBEM at different time and spatial scales. They found that fixed and predefined schedules tend to underestimate the energy results when compared to schedules with measured data.…”

Section: Urban Building Energy Modellingmentioning

confidence: 99%

Integration of PV Systems in the Urban Environment—A Review

Rodrigues,

Palmero-Marrero,

Oliveira

2024

Preprint

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Building integrated photovoltaics (BIPV) consists of PV panels that are integrated into the building as part of the construction. This technology has advantages such as the production of electricity without necessary additional land area. This paper provides a literature review about the recent developments in urban building energy modelling, including tools and methods, and the effect of PV systems on building outdoor and indoor environments. It is also intended to provide a critical analysis on how PV systems affect the urban environment, both from an energy and a comfort point of view. The urban heat island development is introduced and related with the existence of PV systems. It is concluded that data acquisition is still a weakness in urban building energy modelling, especially in what concerns non-geometric data, which leads to a major source of errors. The availability of data is a challenge because frequently they are not accessible, due to privacy, high-cost or other reasons. Also, methodologies to develop precise archetypes for creating urban building energy models are lacking.

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UBEM's archetypes improvement via data-driven occupant-related schedules randomly distributed and their impact assessment

Cited by 27 publications

References 48 publications

Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile

Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile

Virtual energy sharing and energy communities for the Municipality of Milan: The case of the Chiaravalle area

Integration of PV Systems in the Urban Environment—A Review

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