An urban building database (UBD) supporting a smart city information system

Monteiro, Cláudia; Costa, Carlos; Pina, André; Santos, Maribel Yasmina; Ferrão, Paulo

doi:10.1016/j.enbuild.2017.10.009

Cited by 75 publications

(47 citation statements)

References 19 publications

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“…Aligned with the stakeholders' interest, potential applications of UBEM are reviewed in three domains as summarized in Table 3. Qomi et al, 2016;Hong, Chen, Piette, et al, 2016) Demand energy auditing and forecasting Demand flexibility (Pezzulli et al, 2006;Fu et al, 2009;Delmastro et al, 2017;Wang et al, 2018) Urban resiliency (Gros, Bozonnet and Inard, 2014;Link, Pillich and Klein, 2014;Caro-Martínez and Sendra, 2018;Frayssinet et al, 2018;Oregi et al, 2018) Existing urban buildings retrofiting Energy savings; GHG emissions reduction; Cost effectiveness (Ward and Choudhary, 2014;Lee et al, 2015;McArthur and Jofeh, 2016;Monteiro et al, 2018;Nagpal and Reinhart, 2018) Urban energy planning Energy efficiency (Chow, Chan and Song, 2004;Fu et al, 2009;Lin et al, 2010;Koch, 2016;Delmastro et al, 2017) Urban resiliency under climate (Pisello et al, 2015;Martin et al, 2017; change effects Ciancio et al, 2018;Katal, Mortezazadeh and Wang, 2019) First of all, the formulation of energy policies for urban building stock frequently requires the evaluation of the overall building energy performance of the urban districts (Tardioli et al, 2018)…”

Section: Question 9: What Are the Example Applications Of Ubem?mentioning

confidence: 99%

Ten questions on urban building energy modeling

Hong

Chen

Luo

et al. 2020

Building and Environment

289

121

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Buildings in cities consume up to 70% of all primary energy. To achieve cities' energy and climate goals, it is necessary to reduce energy use and associated greenhouse gas emissions in buildings through energy conservation and efficiency improvements. Computational tools empowered with rich urban datasets can model performance of buildings at the urban scale to provide quantitative insights for stakeholders and inform their decision making on urban energy planning, as well as building energy retrofits at scale, to achieve efficiency, sustainability, and resilience of urban buildings. Designing and operating urban buildings as a group (from a city block to a district to an entire city) rather than as single individuals requires simulation and optimization to account for interactions among buildings and between buildings and their surrounding urban environment, and for district energy systems serving multiple buildings with diverse thermal loads across space and time. When hundreds or more buildings are involved in typical urban building energy modeling (UBEM) to estimate annual energy demand, evaluate design or retrofit options, and quantify impacts of extreme weather events or climate change, it is crucial to integrate urban datasets and UBEM tools in a seamless automatic workflow with cloud or high-performance computing for users including urban planners, designers and researchers. This paper presents ten questions that highlight significant UBEM research and applications. The proposed answers aim to stimulate discussion and provide insights into the current and future research on UBEM, and more importantly, to inspire new and important questions from young researchers in the field.

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Section: Question 9: What Are the Example Applications Of Ubem?mentioning

confidence: 99%

Ten questions on urban building energy modeling

Hong

Chen

Luo

et al. 2020

Building and Environment

289

121

View full text Add to dashboard Cite

show abstract

“…During the last years, several studies have explored how digital visualization platforms and ICT can contribute to the decision-making, implementation, and monitoring processes involved in the planning for more energy efficient cities [14]. What follows in this section is a literature review on web-based platforms, highlighting objectives, spatial scale, methods, barriers/gaps, and insights.…”

Section: Related Workmentioning

confidence: 99%

E-City Web Platform: A Tool for Energy Efficiency at Urban Level

et al. 2018

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Cities, as main energy consumers, play a crucial role in achieving a more sustainable energy future. This means that there is an urgent need to transform the way of planning urban areas, focusing on more efficient and self-reliant energy production and consumption modes overall. In this framework, the aim of this study is to explore the Net-Zero energy balance between two spatial scales: the whole city with its diversified energy consumption patterns, and those urban blocks, neighborhoods, or industrial areas that can produce energy and supply it to other areas. This approach leads to the development of an energy zoning for the city, based on the geographical urban delimitation of solar energy exporters cells and the energy consuming ones. On the production side, cells are delimited according to their solar energy production potential. On the demand side, cells are delimited according to four specific criteria: construction timeline, population density, urban morphologies, and land-use patterns that permit the definition of a classification of urban areas, based on the different energy consumption levels. In this paper, the web platform "E-City", a tool for planning energy balance at urban level is presented, by describing its practical application in the city of Oeiras, Portugal. The platform integrates itself with the existing municipal Geographic Information System, exploring both spatial and statistical dimensions associated with zoning and the overall energy network system. Results from the use of this tool are relevant for urban planning practices, formulation of policies, and management of public investment that can be guided to more energy efficient solutions and supporting the transition towards nearly zero-energy cities. collaborative model between the customers and the distribution company. In this project, energy efficiency is promoted by increasing the use of renewable energy sources associated with the development of smart grids able to manage and store energy and optimize electric-vehicle charging [6].Different from the previous, the "Amsterdam Smart City" recognizes the need of a systematic framework of actions within the domains of energy transition and open connectivity [7]. This approach has led to the developing of 52 ongoing projects that promote the balance between sustainable energy supply and demand in neighborhoods by including the expected raise of electrical cars, integrating cooling and city heat system and investing in energy-efficient housing renovations [8].Within the Smart City planning process of Rotterdam, local authorities. The common understanding through these projects is that Information and Communications Technologies (ICT) coupled with digital visualization platforms can be used to improve cities, with special attention to their transition towards a low carbon future [9,10].Enhancing energy efficiency, increasing the share of renewable energy sources, and integrating smart grids and electric vehicles into cities are complex tasks with evident implications for urban developm...

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“…Urban building energy modelling is a relatively new field [4,5], where building thermal behaviour is modelled over a large-scale, typically in the range of "several dozens to thousands of buildings" [4]. Building models at an urban scale are used to understand the past and current demand patterns, to test future scenarios and assist decision makers with making the best choices for existing and future cities.…”

Section: Introductionmentioning

confidence: 99%

“…Building models at an urban scale are used to understand the past and current demand patterns, to test future scenarios and assist decision makers with making the best choices for existing and future cities. Thus, building energy models are useful for multiple stakeholders, from policymakers to municipalities or utilities, and they have an important role to play in the transition towards a more efficient system [5]. Urban energy modelling involves three steps: data collection, model development and validation [4].…”

Section: Introductionmentioning

confidence: 99%

Data for Urban Scale Building Energy Modelling: Assessing Impacts and Overcoming Availability Challenges

2020

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Data are essential to urban building energy models and yet, obtaining sufficient and accurate building data at a large-scale is challenging. Previous studies have highlighted that the data impact on urban case studies has not been sufficiently discussed. This paper addresses this gap by providing an analysis of the impact of input data on building energy modelling at an urban scale. The paper proposes a joint review of data impact and data accessibility to identify areas where future survey efforts should be concentrated. Moreover, a Morris sensitivity analysis is carried out on a large-scale residential case study, to rank input parameters by impact on space heating demand. This paper shows that accessible data impact the whole modelling process, from approach selection to model replicability. The sensitivity analysis shows that the setpoint and thermal characteristics were the most impactful for the case study considered. Solutions proposed to overcome availability and accessibility issues include organising annual workshops between data users and data owners, or developing online databases that could be populated on a volunteer-basis by data owners. Overall, overcoming data challenges is essential for the transition towards smarter cities, and will require an improved communication between all city stakeholders.

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An urban building database (UBD) supporting a smart city information system

Cited by 75 publications

References 19 publications

Ten questions on urban building energy modeling

Ten questions on urban building energy modeling

E-City Web Platform: A Tool for Energy Efficiency at Urban Level

Data for Urban Scale Building Energy Modelling: Assessing Impacts and Overcoming Availability Challenges

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