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Journal articles on the topic 'Urban-scale energy model'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Mutani, Guglielmina, Valeria Todeschi, and Simone Beltramino. "Energy Consumption Models at Urban Scale to Measure Energy Resilience." Sustainability 12, no. 14 (2020): 5678. http://dx.doi.org/10.3390/su12145678.

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Energy resilience can be reached with a secure, sustainable, competitive, and affordable system. In order to achieve energy resilience in the urban environment, urban-scale energy models play a key role in supporting the promotion and identification of effective energy-efficient and low-carbon policies pertaining to buildings. In this work, a dynamic urban-scale energy model, based on an energy balance, has been designed to take into account the local climate conditions and morphological urban-scale parameters. The aim is to present an engineering methodology, applied to clusters of buildings,

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Mutani, G., V. Todeschi, and S. Santantonio. "Urban-Scale Energy Models: the relationship between cooling energy demand and urban form." Journal of Physics: Conference Series 2177, no. 1 (2022): 012016. http://dx.doi.org/10.1088/1742-6596/2177/1/012016.

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Abstract To enhance the quality of life in cities, it is necessary to improve the energy performance of buildings together with a sustainable urban planning especially in high-density contexts. Previous works investigated the building shape, the urban morphology, and the local climate conditions to optimize the energy performance for space heating of buildings. The aim of this study is to validate a GIS-based engineering model to simulate the hourly energy demand for space cooling in residential buildings at neighborhood scale and to assess the relationship between the urban form and the energ

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Mutani, Guglielmina, and Valeria Todeschi. "Building energy modeling at neighborhood scale." Energy Efficiency 13, no. 7 (2020): 1353–86. http://dx.doi.org/10.1007/s12053-020-09882-4.

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Abstract The urban climate and outdoor air quality of cities that have a positive thermal balance depending on the thermal consumptions of buildings cause an increase of the urban heat island and global warming effects. The aim of this work has been to develop an energy balance using the energy consumption data of the district heating network. The here presented engineering energy model is at a neighborhood scale, and the energy-use results have been obtained from a heat balance of residential buildings, by means of a quasi-steady state method, on a monthly basis. The modeling approach also co

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KAWAI, Toru, Masahiko KANEGA, and Manabu KANDA. "A SIMPLE 3-DIMENSIONAL URBAN ENERGY BALANCE MODEL AND OUTDOOR SCALE MODEL EXPERIMENTS." PROCEEDINGS OF HYDRAULIC ENGINEERING 49 (2005): 349–54. http://dx.doi.org/10.2208/prohe.49.349.

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García-López, Javier, Juan José Sendra, and Samuel Domínguez-Amarillo. "Validating ‘GIS-UBEM’—A Residential Open Data-Driven Urban Building Energy Model." Sustainability 16, no. 6 (2024): 2599. http://dx.doi.org/10.3390/su16062599.

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The study of energy consumption in buildings, particularly residential ones, brings with it significant socio-economic and environmental implications, as it accounts for approximately 40% of CO2 emissions, 18% in the case of residential buildings, in Europe. On a number of levels, energy consumption serves as a key parameter in urban sustainability indicators and energy plans. Access to data on energy consumption is crucial for energy planning, management, knowledge generation, and awareness. Urban Building Energy Models (UBEMs), which are emerging tools for simulating energy consumption at ne

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Zheng, Zhuang, Jiayu Chen, and Xiaowei Luo. "Parallel computational building-chain model for rapid urban-scale energy simulation." Energy and Buildings 201 (October 2019): 37–52. http://dx.doi.org/10.1016/j.enbuild.2019.07.034.

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7

Flagg, D. D., and P. A. Taylor. "Sensitivity of mesoscale model urban boundary layer meteorology to urban morphology." Atmospheric Chemistry and Physics Discussions 10, no. 11 (2010): 25909–58. http://dx.doi.org/10.5194/acpd-10-25909-2010.

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Abstract. Mesoscale modeling of the urban boundary layer requires careful parameterization of the surface due to its heterogeneous morphology. Model estimated meteorological quantities, including the surface energy budget and canopy layer variables, will respond accordingly to the scale of representation. This study examines the sensitivity of the surface energy balance, canopy layer and boundary layer meteorology to the scale of urban surface representation in a real urban area (Detroit-Windsor (USA-Canada)) during several dry, cloud-free summer periods. The model used is the Weather Research

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Flagg, D. D., and P. A. Taylor. "Sensitivity of mesoscale model urban boundary layer meteorology to the scale of urban representation." Atmospheric Chemistry and Physics 11, no. 6 (2011): 2951–72. http://dx.doi.org/10.5194/acp-11-2951-2011.

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Abstract. Mesoscale modeling of the urban boundary layer requires careful parameterization of the surface due to its heterogeneous morphology. Model estimated meteorological quantities, including the surface energy budget and canopy layer variables, will respond accordingly to the scale of representation. This study examines the sensitivity of the surface energy balance, canopy layer and boundary layer meteorology to the scale of urban surface representation in a real urban area (Detroit-Windsor (USA-Canada)) during several dry, cloud-free summer periods. The model used is the Weather Research

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Kawai, Toru, Manabu Kanda, Kenichi Narita, and Aya Hagishima. "Validation of a numerical model for urban energy-exchange using outdoor scale-model measurements." International Journal of Climatology 27, no. 14 (2007): 1931–42. http://dx.doi.org/10.1002/joc.1624.

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Kubilay, Aytaç, Jonas Allegrini, Dominik Strebel, Yongling Zhao, Dominique Derome, and Jan Carmeliet. "Advancement in Urban Climate Modelling at Local Scale: Urban Heat Island Mitigation and Building Cooling Demand." Atmosphere 11, no. 12 (2020): 1313. http://dx.doi.org/10.3390/atmos11121313.

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As cities and their population are subjected to climate change and urban heat islands, it is paramount to have the means to understand the local urban climate and propose mitigation measures, especially at neighbourhood, local and building scales. A framework is presented, where the urban climate is studied by coupling a meteorological model to a building-resolved local urban climate model, and where an urban climate model is coupled to a building energy simulation model. The urban climate model allows for studies at local scale, combining modelling of wind and buoyancy with computational flui

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Pearlmutter, D., P. Berliner, and E. Shaviv. "Evaluation of Urban Surface Energy Fluxes Using an Open-Air Scale Model." Journal of Applied Meteorology 44, no. 4 (2005): 532–45. http://dx.doi.org/10.1175/jam2220.1.

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Abstract The thermal behavior of an urban surface is crucial to understand, but it is difficult to predict using conventional measurement or modeling approaches. In this study, an integrated method is proposed for evaluating urban energy exchanges with an open-air scale model of a building–street canyon surface array. The technique, which potentially combines the flexibility of modeling with the reliability of empirical observation under natural turbulence and radiative loading, is tested in hot, arid summer conditions to gauge its ability for reproducing surface–atmosphere energy fluxes that

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Sola, Alaia, Cristina Corchero, Jaume Salom, and Manel Sanmarti. "Simulation Tools to Build Urban-Scale Energy Models: A Review." Energies 11, no. 12 (2018): 3269. http://dx.doi.org/10.3390/en11123269.

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The development of Urban-Scale Energy Modelling (USEM) at the district or city level is currently the goal of many research groups due to the increased interest in evaluating the impact of energy efficiency measures in city environments. Because USEM comprises a great variety of analysis areas, the simulation programs that are able to model urban-scale energy systems actually consist of an assemblage of different particular sub-models. In order to simulate each of the sub-models in USEM, one can choose to use either existing specific simulation engines or tailor-made models. Engines or tools f

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Lee, Doo-Il, and Sang-Hyun Lee. "The Microscale Urban Surface Energy (MUSE) Model for Real Urban Application." Atmosphere 11, no. 12 (2020): 1347. http://dx.doi.org/10.3390/atmos11121347.

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Urban atmospheric environmental issues are commonly associated with the physical processes of urban surfaces. Much progress has been made on the building-resolving microscale atmospheric models, but a realistic representation of the physical processes of urban surfaces on those models is still lacking. This study presents a new microscale urban surface energy (MUSE) model for real urban meteorological and environmental applications that is capable of representing the urban radiative, convective, and conductive energy transfer processes along with their interactions, and that is directly compat

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Park, Jihyun, and Tsung-Hsien Wang. "An Integrated Urban Building Energy Benchmarking Workflow to Support Urban Energy Evaluation: A Case Study of Sheffield UK." Buildings 14, no. 11 (2024): 3398. http://dx.doi.org/10.3390/buildings14113398.

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Understanding energy demand and supply flow at a large urban scale is an essential step for urban designers, planners and policymakers in investigating how buildings within an existing urban context could be designed as a whole to support the future sustainable built environment. The contemporary approach is to model energy use activities at various building and urban scales. This, albeit a practical approach, poses significant challenges in acquiring good quality data concerning buildings and their interactions at an urban scale at an affordable price. This paper presents a streamlined benchm

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Usta, Yasemin, Lisa Ng, Silvia Santantonio, and Guglielmina Mutani. "Lumped-Parameter Models Comparison for Natural Ventilation Analyses in Buildings at Urban Scale." Energies 18, no. 9 (2025): 2352. https://doi.org/10.3390/en18092352.

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This study validates a three-zone lumped-parameter airflow model for Urban Building Energy Modeling, focusing on its accuracy in estimating air change rates caused by natural ventilation, referred to here as air change rate. The model incorporates urban-scale variables like canyon geometry and roughness elements for the accurate prediction of building infiltration, which is an important variable in building energy consumption. Air change rate predictions from the three-zone lumped-parameter model are compared against results from a three-zone CONTAM model across a range of weather scenarios. T

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Shamovich, Maxim, Simon Raming, Avichal Malhotra, Christoph van Treeck, and Jérôme Frisch. "CityDPC: A Python library for handling 3D city model datasets." Bauphysik 46, no. 6 (2024): 340–47. https://doi.org/10.1002/bapi.202400038.

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AbstractThis study presents CityDPC, a Python library for geometric computations on CityGML and CityJSON datasets, merging features from tools such as CityATB. It supports loading, analyzing, validating, and manipulating 3D city model datasets, aiming to enhance Python applications for urban building stock analyses. It introduces a shared building class to expedite new data formats integration and improve software development and interoperability among urban‐scope applications. A novel feature is the calculation of party or shared walls, showcased in a UBEM (Urban Building Energy Modeling) con

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Martin, Thomas A. "Traditional commercial model or distributed generation? Finding the proper scale for wind energy." Climate Law 3, no. 3-4 (2012): 231–46. http://dx.doi.org/10.1163/cl-120065.

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In this paper, I attempt to compare costs and benefits of the traditional model with distributed generation within the scope of wind-energy generation. In part II, I examine the following economic aspects of both models: in Section II.1, economies of scale; II.2, economics of permanence; II.3, allocation of costs and benefits among stakeholders. Traditional notions of economies of scale favour a larger model of production, though economist E.F. Schumacher presents an alternative view of production that would favour smaller-scale development. In part III, I discuss logistical and technological

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Yang, Guang, Zhengwei Li, and Godfried Augenbroe. "Development of prototypical buildings for urban scale building energy modeling: A reduced order energy model approach." Science and Technology for the Built Environment 24, no. 1 (2017): 33–42. http://dx.doi.org/10.1080/23744731.2017.1328943.

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Mutani, G., and V. Todeschi. "Urban Building Energy Modeling: an hourly energy balance model of residential buildings at a district scale." Journal of Physics: Conference Series 1599 (August 2020): 012035. http://dx.doi.org/10.1088/1742-6596/1599/1/012035.

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Bueno, B., G. Pigeon, L. K. Norford, and K. Zibouche. "Development and evaluation of a building energy model integrated in the TEB scheme." Geoscientific Model Development Discussions 4, no. 4 (2011): 2973–3011. http://dx.doi.org/10.5194/gmdd-4-2973-2011.

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Abstract. The use of air-conditioning systems is expected to increase as a consequence of global-scale and urban-scale climate warming. In order to represent future scenarios of urban climate and building energy consumption, the Town Energy Budget (TEB) scheme must be improved. This paper presents a new building energy model (BEM) that has been integrated in the TEB scheme. BEM-TEB makes it possible to represent the energy effects of buildings and building systems on the urban climate and to estimate the building energy consumption at city scale (~10 km) with a resolution of a neighbourhood (~

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21

Egusquiza, Aitziber, Furundarena Iñaki Prieto, Jose Luis Izkara, and Hernández Rubén Béjar. "Multi-scale urban data models for early-stage suitability assessment of energy conservation measures in historic urban areas." Energy & Buildings 164 (January 12, 2018): 87–96. https://doi.org/10.1016/j.enbuild.2017.12.061.

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The demand for improving the energy performance of buildings located in the historic districts of cities is as high as the current demand in other city districts. The need to reduce energy consumption and improve the comfort of inhabitants is compounded by the need to preserve an environment of heritage value. The selection of rehabilitation strategies at urban scale offers significant benefits, but makes the process long and costly. Therefore, methods or tools are necessary to establish a rapid assessment that facilitates strategic decision making and a deeper analysis of a reduced number of

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Choi, Sebin, and Sungmin Yoon. "AI Agent-Based Intelligent Urban Digital Twin (I-UDT): Concept, Methodology, and Case Studies." Smart Cities 8, no. 1 (2025): 28. https://doi.org/10.3390/smartcities8010028.

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The concept of digital twins (DTs) has expanded to encompass buildings and cities, with urban building energy modeling (UBEM) playing a crucial role in predicting urban-scale energy consumption via modeling individual energy use and interactions. As a virtual model within urban digital twins (UDTs), UBEM offers the potential for managing energy in sustainable cities. However, UDTs face challenges with regard to integrating large-scale data and relying on bottom-up UBEM approaches. In this study, we propose an AI agent-based intelligent urban digital twin (I-UDT) to enhance DTs’ technical reali

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Sun, Yu, Elisabete Silva, Wei Tian, Ruchi Choudhary, and Hong Leng. "An Integrated Spatial Analysis Computer Environment for Urban-Building Energy in Cities." Sustainability 10, no. 11 (2018): 4235. http://dx.doi.org/10.3390/su10114235.

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In this paper, we developed a new integrated analysis environment in order to thoroughly analyses urban-building energy patterns, named IUBEA (integrated urban building energy analysis), which focuses on energy modeling and analysis of a city’s building stock to support district or city-scale efficiency programs. It is argued that cities and towns account for more than two-thirds of world energy consumption. Thus, this paper explores techniques to integrate a spatial analysis environment in the field of urban building energy assessment in cites to make full use of current spatial data relevant

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Tkáč, Štefan, and Zuzana Vranayová. "Advances in Small Scale Water Energy Systems and Distribution Model for Micro-Urban Development in Slovak Republic and Taiwan R.O.C." Advanced Materials Research 740 (August 2013): 809–16. http://dx.doi.org/10.4028/www.scientific.net/amr.740.809.

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Currently Taiwan and Slovakia import over 90% of energy consumables annually. High energy import rates make both countries viably engaged in research on renewable resources, also green planning policy has been proposed. Population is concentrated in the major cities which are facing energy deficiency issues. The unregulated development of micro-urban areas is underestimated in both cases so are the energy issues bound with them. Centralized energy sources require long distance wires to support remote areas. The proposed urban idea consists of energy resource decentralization by detailed focus

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Mutani, Guglielmina, Maryam Alehasin, Yasemin Usta, Francesco Fiermonte, and Angelo Mariano. "Statistical Building Energy Model from Data Collection, Place-Based Assessment to Sustainable Scenarios for the City of Milan." Sustainability 15, no. 20 (2023): 14921. http://dx.doi.org/10.3390/su152014921.

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Building energy modeling plays an important role in analyzing the energy efficiency of the existing building stock, helping in enhancing it by testing possible retrofit scenarios. This work presents an urban scale and place-based approach that utilizes energy performance certificates to develop a statistical energy model. The objective is to describe the energy modeling methodology for evaluating the energy performance of residential buildings in Milan; in addition, a comprehensive reference dataset for input data from available open databases in Italy is provided—a critical step in assessing

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Todeschi, Valeria, Roberto Boghetti, Jérôme H. Kämpf, and Guglielmina Mutani. "Evaluation of Urban-Scale Building Energy-Use Models and Tools—Application for the City of Fribourg, Switzerland." Sustainability 13, no. 4 (2021): 1595. http://dx.doi.org/10.3390/su13041595.

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Building energy-use models and tools can simulate and represent the distribution of energy consumption of buildings located in an urban area. The aim of these models is to simulate the energy performance of buildings at multiple temporal and spatial scales, taking into account both the building shape and the surrounding urban context. This paper investigates existing models by simulating the hourly space heating consumption of residential buildings in an urban environment. Existing bottom-up urban-energy models were applied to the city of Fribourg in order to evaluate the accuracy and flexibil

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Bueno, B., G. Pigeon, L. K. Norford, K. Zibouche, and C. Marchadier. "Development and evaluation of a building energy model integrated in the TEB scheme." Geoscientific Model Development 5, no. 2 (2012): 433–48. http://dx.doi.org/10.5194/gmd-5-433-2012.

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Abstract. The use of air-conditioning systems is expected to increase as a consequence of global-scale and urban-scale climate warming. In order to represent future scenarios of urban climate and building energy consumption, the Town Energy Balance (TEB) scheme must be improved. This paper presents a new building energy model (BEM) that has been integrated in the TEB scheme. BEM-TEB makes it possible to represent the energy effects of buildings and building systems on the urban climate and to estimate the building energy consumption at city scale (~10 km) with a resolution of a neighbourhood (

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Ke, Yanyan, Lu Zhou, Minglei Zhu, Yan Yang, Rui Fan, and Xianrui Ma. "Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province." Sustainability 15, no. 3 (2023): 2456. http://dx.doi.org/10.3390/su15032456.

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With the acceleration of China’s urbanization process, the importance of energy conservation and emission reduction in the building sector has become increasingly prominent. The effective control of carbon emissions in coastal provinces has a decisive impact on achieving the carbon emissions peak target nationwide. Based on the analysis of the influencing factors, this study establishes an urban residential buildings carbon emission prediction model by combining the IPAT model and the ridge regression model. In addition, the prediction model is combined with scenario analysis to simulate the e

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Xu, Xiaoyu. "Multi-System Urban Waste-Energy Self-Circulation: Design of Urban Self-Circulation System Based on Emergy Analysis." International Journal of Environmental Research and Public Health 18, no. 14 (2021): 7538. http://dx.doi.org/10.3390/ijerph18147538.

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The current worldwide state of energy scarcity and low waste utilization has led to a decrease in the supply of ecological services, something that seriously affects the development of cities. In this study, we propose an urban self-circulation design based on multiple systems within the traditional biogas, wetland, rainwater, solar power, and urban farm systems framework to achieve effective improvements in urban waste utilization and the optimization of the urban waste–energy flow cycle. Emergy conversion is used to evaluate system optimization, and the simulation results show that the novel

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Li, Xin, Konstantinos Chalvatzis, and Phedeas Stephanides. "Innovative Energy Islands: Life-Cycle Cost-Benefit Analysis for Battery Energy Storage." Sustainability 10, no. 10 (2018): 3371. http://dx.doi.org/10.3390/su10103371.

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Cities are concentrations of economic, social, and technical assets, which are fundamental to addressing climate change challenges. Renewable energy sources are growing fast in cities to mitigate greenhouse gas emissions in response to these challenges. In this transition urban decentralized energy shares technical and economic characteristics with energy islands. This is reflected in that island energy systems essentially operate off-grid which as a modus operandi can offer lessons to small-scale urban systems. With the expansion of urban areas, communities, especially small-scale ones, are s

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Tkáč, Štefan. "The Power of Micro Urban Structures, Theory of EEPGC - the Micro Urban Energy Distribution Model as a Planning Tool for Sustainable City Development." Selected Scientific Papers - Journal of Civil Engineering 10, no. 2 (2015): 29–38. http://dx.doi.org/10.2478/sspjce-2015-0015.

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Abstract To achieve the smart growth and equitable development in the region, urban planners should consider also lateral energies represented by the energy urban models like further proposed EEPGC focused on energy distribution via connections among micro-urban structures, their onsite renewable resources and the perception of micro-urban structures as decentralized energy carriers based on pre industrialized era. These structures are still variously bound when part of greater patterns. After the industrial revolution the main traded goods became energy in its various forms. The EEPGC is focu

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Yu, Kan, Qiang Wei, Chuanzi Xu, Xinyu Xiang, and Heyang Yu. "Distributed Low-Carbon Energy Management of Urban Campus for Renewable Energy Consumption." Energies 17, no. 23 (2024): 6182. https://doi.org/10.3390/en17236182.

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In order to solve the mismatch between renewable energy and load in urban building microgrids, that is, the problem of renewable energy consumption in building microgrid clusters, while preserving the privacy of each user, this paper proposes a distributed low-carbon energy management method for urban building microgrid clusters. First, a low-carbon energy management method for the urban building microgrid is proposed in order to coordinate the power sharing of various subjects to minimize the total economic cost, unleash the consumption potential of low-carbon building clusters for renewable

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Agugiaro, G. "ENABLING “ENERGY-AWARENESS” IN THE SEMANTIC 3D CITY MODEL OF VIENNA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4/W1 (August 25, 2016): 81–88. http://dx.doi.org/10.5194/isprs-annals-iii-4-w1-81-2016.

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This paper presents and discusses the first results regarding selection, analysis, preparation and eventual integration of a number of energy-related datasets, chosen in order to enrich a CityGML-based semantic 3D city model of Vienna. CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. The still-in-development Energy Application Domain Extension (ADE) is a CityGML extension conceived to specifically model, manage and store energy-related features and attributes for buildings. <br><br> Th

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Agugiaro, G. "ENABLING “ENERGY-AWARENESS” IN THE SEMANTIC 3D CITY MODEL OF VIENNA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W1 (September 5, 2016): 81–88. http://dx.doi.org/10.5194/isprs-annals-iv-4-w1-81-2016.

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This paper presents and discusses the first results regarding selection, analysis, preparation and eventual integration of a number of energy-related datasets, chosen in order to enrich a CityGML-based semantic 3D city model of Vienna. CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. The still-in-development Energy Application Domain Extension (ADE) is a CityGML extension conceived to specifically model, manage and store energy-related features and attributes for buildings. <br><br> Th

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Isaac, Shabtai, Slava Shubin, and Gad Rabinowitz. "Cost-Optimal Net Zero Energy Communities." Sustainability 12, no. 6 (2020): 2432. http://dx.doi.org/10.3390/su12062432.

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The objective of this research is to study the cost of Net Zero Energy (NZE) communities of different urban scales and densities, while taking into consideration the local climate and the type of buildings in the community. A comprehensive model was developed for this purpose, with which the cost-optimal configuration of renewable energy-related technologies for an NZE community can be identified. To validate the model, data from two case studies that differed in their climate and building types were used. The results of this study contribute to a better understanding of the implications of NZ

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Verrecht, Bart, Thomas Maere, Lorenzo Benedetti, Ingmar Nopens, and Simon Judd. "Model-based energy optimisation of a small-scale decentralised membrane bioreactor for urban reuse." Water Research 44, no. 14 (2010): 4047–56. http://dx.doi.org/10.1016/j.watres.2010.05.015.

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Adibhesami, Mohammad Anvar, Hirou Karimi, Ayyoob Sharifi, Borhan Sepehri, Hassan Bazazzadeh, and Umberto Berardi. "Optimization of Urban-Scale Sustainable Energy Strategies to Improve Citizens’ Health." Energies 16, no. 1 (2022): 119. http://dx.doi.org/10.3390/en16010119.

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Sustainable energy strategies have been a critical subject for sustainable development, especially in cities. Citizens, as an integral part of the urban environment, play a significant role in urban spaces, as does their health. An accurate understanding of citizens’ mental, social, and physical health in urban settings is required to design and plan better cities. This study aims to assess the level of alignment with health factors in Mahabad, a major medium-sized city in Iran. Previous studies indicate that the built environment can influence health dimensions. Health factors depend to a gre

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Schoetter, Robert, Valéry Masson, Alexis Bourgeois, Margot Pellegrino, and Jean-Pierre Lévy. "Parametrisation of the variety of human behaviour related to building energy consumption in the Town Energy Balance (SURFEX-TEB v. 8.2)." Geoscientific Model Development 10, no. 7 (2017): 2801–31. http://dx.doi.org/10.5194/gmd-10-2801-2017.

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Abstract. The anthropogenic heat flux can be an important part of the urban surface energy balance. Some of it is due to energy consumption inside buildings, which depends on building use and human behaviour, both of which are very heterogeneous in most urban areas. Urban canopy parametrisations (UCP), such as the Town Energy Balance (TEB), parametrise the effect of the buildings on the urban surface energy balance. They contain a simple building energy model. However, the variety of building use and human behaviour at grid point scale has not yet been represented in state of the art UCPs. In

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He, Yunzhu. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function." Sustainability 14, no. 20 (2022): 13694. http://dx.doi.org/10.3390/su142013694.

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To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and

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He, Yunzhu. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function." Sustainability 14, no. 20 (2022): 13694. http://dx.doi.org/10.3390/su142013694.

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To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and

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41

He, Yunzhu. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function." Sustainability 14, no. 20 (2022): 13694. http://dx.doi.org/10.3390/su142013694.

Full text

Abstract:

To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and

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42

He, Yunzhu. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function." Sustainability 14, no. 20 (2022): 13694. http://dx.doi.org/10.3390/su142013694.

Full text

Abstract:

To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and

APA, Harvard, Vancouver, ISO, and other styles

43

He, Yunzhu. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function." Sustainability 14, no. 20 (2022): 13694. http://dx.doi.org/10.3390/su142013694.

Full text

Abstract:

To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and

APA, Harvard, Vancouver, ISO, and other styles

44

He, Yunzhu. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function." Sustainability 14, no. 20 (2022): 13694. http://dx.doi.org/10.3390/su142013694.

Full text

Abstract:

To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and

APA, Harvard, Vancouver, ISO, and other styles

45

He, Yunzhu. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function." Sustainability 14, no. 20 (2022): 13694. http://dx.doi.org/10.3390/su142013694.

Full text

Abstract:

To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and

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46

Veisi, Omid, and Amir Shakibamanesh. "Analysis Of Solar Radiation Towards Optimization and Location Of The Urban Blocks In The Neighborhood Units." International Journal of Environmental Science & Sustainable Development 7, no. 1 (2022): 66. http://dx.doi.org/10.21625/essd.v7i1.868.

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Increasing population causes Energy consumption and environmental pollution. It is essential to consider renewable forms of energy, especially solar power, to reduce energy consumption. This requires attention to energy issues in the early stages of urban design and practical and creative solutions for more efficient use of this type of energy. This study aims at calculating the annual solar radiation at a city scale through a novel process and methodology. In this regard, artificial intelligence algorithms and satellite data can help maximize the amount of sunlight in neighborhoods and urban

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47

Kim, Dong-Jin, Doo-Il Lee, Jae-Jin Kim, Moon-Soo Park, and Sang-Hyun Lee. "Development of a Building-Scale Meteorological Prediction System Including a Realistic Surface Heating." Atmosphere 11, no. 1 (2020): 67. http://dx.doi.org/10.3390/atmos11010067.

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Microscale urban meteorological models have been widely used in interpreting atmospheric flow and thermal discomfort in urban environments, but most previous studies examined the urban flow and thermal environments for an idealized urban morphology with imposing neutral or homogeneous thermal forcing. This study has developed a new building-scale meteorological prediction system that extends the ability to predict microscale meteorological fields in real urban environments. A computational fluid dynamics (CFD) model has been developed based on the non-hydrostatic incompressible Reynolds-averag

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Chen, Boyu, and Ye Lin. "Construction of a Prediction Model for Energy Consumption in Urban Rail Transit Operations Using a Bottom–Up Approach." Energies 18, no. 4 (2025): 888. https://doi.org/10.3390/en18040888.

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Global climate change necessitates an immediate reduction in carbon emissions. This study aimed to categorize rail transit energy consumption factors into “traction energy consumption” and “non-traction comprehensive energy consumption” by employing a bottom–up approach and using a sample of urban rail transit operations in 122 Chinese cities from 2018 to 2022. The factors were grouped based on the scale of the urban rail transit network, and planned indicators were screened using stepwise regression and machine learning eigenvalue methods. Predictive models were then constructed using these p

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Brunner, Paul Hans. "Urban Metabolism: From Molecular Scale to Anthropogenic Systems." Jurnal Rekayasa Kimia & Lingkungan 20, no. 1 (2025): 171–83. https://doi.org/10.23955/rkl.v20i1.45080.

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The aim of this paper is to show how an “Urban Metabolism” approach can be used for analysing, designing, and optimizing material and energy flows and stocks in human settlements. For this purpose, material flow analysis (MFA) and substance flow analysis (SFA) is applied in a rigid way to quantitatively model metabolic processes such as supply and disposal of goods in a city. The characteristics of relevant material flows and stocks of urban areas in space and time are examined. Results of two metabolic case studies on resources, waste management, and environmental protection are presented. By

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Musango, Josephine Kaviti, and Andrea M. Bassi. "Towards a Systemic Assessment of Gendered Energy Transition in Urban Households." Energies 14, no. 21 (2021): 7251. http://dx.doi.org/10.3390/en14217251.

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Assessment of gendered energy transition at an urban scale has emerged as a challenging issue for researchers, policy makers and practitioners. With municipalities becoming players in the energy markets, their involvement raises policy issues that need to be better assessed in supporting gendered energy transition. This paper, therefore, contributes to gendered energy transition assessments at urban household level from a policy maker perspective. We developed a system dynamics model to assess the effects of urban energy policy interventions on household energy consumption and gendered measure

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