Prioritizing urban planning factors on community energy performance based on GIS-informed building energy modeling

Yu, Hang; Wang, Meng; Lin, Xiaoyu; Guo, Haijin; Li, He; Zhao, Yingru; Wang, Hongxin; Li, Chaoen; Jing, Rui

doi:10.1016/j.enbuild.2021.111191

Cited by 40 publications

(4 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As far as building energy efficiency evaluation is concerned, different approaches for determining buildings' energy demand using GIS with different approaches and different aims have been explored. These include: i) planning local energy infrastructures (Calderón et al, 2015;Lumbreras et al, 2022;Yang et al, 2020); ii) prioritising urban planning factors and priority areas for implementing energy savings measures (Yu et al, 2021;Ali et al, 2020); or iii) evaluating the potential for integrating renewable energy systems, such as geothermal (Ramos-Escudero et al, 2021) or solar (Groppi et al, 2018;Ren et al, 2022). Several references can also be found on the use of GIS applied to energy vulnerability and fuel poverty related issues.…”

Section: State-of-the-artmentioning

confidence: 99%

Multidimensional procedure for mapping and monitoring urban energy vulnerability at regional level using public data: Proposal and implementation into a case study in Spain

Terés-Zubiaga

González-Pino

Álvarez

et al. 2023

Sustainable Cities and Society

View full text Add to dashboard Cite

Section: State-of-the-artmentioning

confidence: 99%

Multidimensional procedure for mapping and monitoring urban energy vulnerability at regional level using public data: Proposal and implementation into a case study in Spain

Terés-Zubiaga

González-Pino

Álvarez

et al. 2023

Sustainable Cities and Society

View full text Add to dashboard Cite

“…Several studies have indicated and encouraged the potential application of GIS in the built environment [10,12,33,34]. The energy efficiency of buildings has been extensively discussed, for example, building performance improvement, such as window glass, wall insulation, and thermal ventilation system improvement (like Heating, Ventilation, Air Conditioning, HVAC, and Building Management System, BMS) [35].…”

Section: Gis Applied In the Building Sectormentioning

confidence: 99%

GIS for the Potential Application of Renewable Energy in Buildings towards Net Zero: A Perspective

Feng

2023

Buildings

View full text Add to dashboard Cite

Environmental, economic, and social activities involve inherent spatial dimensions. The geospatial information system (GIS), a platform containing principles, methods, and tools to link, create, visualize, analyze, and model artificial activities and environment, provides the possibility to develop sustainability in the building sector. With globally political collaborations across governments, the demands to manage and visualize sustainable data (e.g., building energy and environment with geospatial reference) and implement more rigorous building modelling are increasing. A systematic mapping at multiple scales will help urban engineers, architectural engineers, policymakers, and energy planners identify emission hotspots, locate spatial resources, restructure district energy mix, and achieve net zero energy targets. To achieve net zero energy goals, it is crucial to minimize energy consumption, improve energy efficiency, and most importantly, apply renewable energy in buildings. However, these processes imply many aspects and challenges, regarding e.g., data availability, scalability, integrability, and a lack of clear and applicable frameworks. In this conceptional perspective paper, we aim to explore the potential of applying and installing renewable energy in net zero energy buildings using the GIS. More specifically, the described virtual framework will effectively support policy- and decision-makers in optimizing the energy structure, reducing building emissions, and applying renewable energy technologies. We also present challenges, limitations, and future directions for real practice.

show abstract

“…Zhang et al introduced a method to identify archetype buildings and generate urban building energy models for city-scale buildings where public building information was unavailable [11]. Yu et al designed a model for community-level energy by combining GIS, simulation, and data-driven approaches [13]. In addition, climate models are also the focus of researchers' exploration in urban-scale building energy consumption simulation.…”

Section: Building Energy Consumption Simulation Modelsmentioning

confidence: 99%

“…The discussion on the influencing factors and modeling methods of urban-scale building energy consumption has gradually emerged [9][10][11]. Some studies have begun to discuss the energy-saving effect of urban planning elements and spatial planning methods [12,13]. However, as far as the current situation is concerned, a lack of an integrated framework considering all planning impact elements is revealed [14].…”

Section: Introductionmentioning

confidence: 99%

Multi-Agent-Based Model for the Urban Macro-Level Impact Factors of Building Energy Consumption on Different Types of Land

Song

Guo

2022

Land

View full text Add to dashboard Cite

Urban researchers pay more and more attention to building energy consumption from different perspectives to obtain the results of urban overall energy conservation. The research at the micro level has yielded abundant accomplishments, but the macro-level research that can support urban planning decision making is still in the exploration stage. In this study, a multi-agent-based model, including the main panel, building agent, resident agent, and household appliance agent, is established by using Anylogic software. The model integrates Harbin urban macro-level impact factors of building energy consumption by designing and linking three sub-models: an urban morphology sub-model, climate sub-model, and energy use behavior sub-model. In the end, this study explored the building energy-saving potential of different types of land under the impact of variable factors through urban morphology and climate simulation scenarios and discussed the related energy-saving strategies. Findings and suggestions include: (1) The impact of urban morphology on overall urban building energy consumption is mainly reflected in residential and commercial land. The land development intensity (building density, floor area ratio, and building height) control and the coordination of land type layout and configuration can help to reduce the building energy consumption. (2) The energy-saving potential of residential land is more evident under climate impact, and ecological means should be used to adjust the climate to reduce the building energy consumption on different lands. (3) From the methodology perspective, this model can well realize the integration of multiple impact factors at the macro-level of the city and the dynamic simulation of energy consumption. The research results are expected to provide quantitative support for creating a sustainable built environment for the city.

show abstract

Prioritizing urban planning factors on community energy performance based on GIS-informed building energy modeling

Cited by 40 publications

References 46 publications

Multidimensional procedure for mapping and monitoring urban energy vulnerability at regional level using public data: Proposal and implementation into a case study in Spain

Multidimensional procedure for mapping and monitoring urban energy vulnerability at regional level using public data: Proposal and implementation into a case study in Spain

GIS for the Potential Application of Renewable Energy in Buildings towards Net Zero: A Perspective

Multi-Agent-Based Model for the Urban Macro-Level Impact Factors of Building Energy Consumption on Different Types of Land

Contact Info

Product

Resources

About