scholarly journals Energy Efficiency in the Urban Scale: Case Study – Prague, Czech Republic

2017 ◽  
Author(s):  
Anna Yunitsyna ◽  
Ernest Shtepani
Keyword(s):  
Energy Efficiency ◽  
Urban Form ◽  
Volume Ratio ◽  
Google Earth ◽  
Morphological Properties ◽  
Earth Model ◽  
Geometrical Shape ◽  
Urban Patterns ◽  
Energy Efficiency Potential ◽  
Gains And Losses

Cities are a complex mass of morphological properties of many city fragments, which play a major role in energy consumption. Urban form, urban patterns, or city fragments can also be seen as defined by algorithms or form generators.  Cities are designed taking into account infrastructure, city standards and land use regulations. Energy efficiency of the urban form may be understood as the balance between gains and losses of energy, which may depend on a set of parameters mostly defined by the geometrical shape of the buildings and the distance between them. The study starts from the development and analysis of 60 hypothetical models in order to evaluate their energy efficiency potential. The Galapagos Evolutionary Solver is used as a tool in order to find the set of parameters, which brings to the morphological properties the optimal combination of density and surface-to-volume ratio. At the final stage morphological properties of 64 Prague’s patterns were selected.  Computer simulation and analysis is performed using the models extracted from the virtual Google Earth model of Prague. During the process of evaluation of the samples, the relationship between the urban form and such parameters as plot coverage, surface-to-volume ratio and the incident solar radiation was established and potentially higher energy efficient structures were indicated. As the result of analysis the interrelation between urban form and energy efficiency was established, which allowed to identify the urban patterns with the higher potential of energy efficiency.

Electric End-Use Energy Efficiency Potential in the U.S. Single-Family Housing Stock

2017 ◽  
Author(s):  
Eric Wilson ◽  
Craig Christensen ◽  
Scott Horowitz ◽  
Joseph Robertson ◽  
Jeff Maguire
Keyword(s):  
Energy Efficiency ◽  
Housing Stock ◽  
Single Family ◽  
Family Housing ◽  
End Use ◽  
Energy Efficiency Potential ◽  
The U.S

Energy Efficiency Potential for China’s Cement Industry: A Bottom-Up Technology-Level Analysis

2012 ◽  
pp. 91-96
Author(s):  
Ali Hasanbeigi ◽  
William Morrow ◽  
David Fridley ◽  
Eric Masanet ◽  
Tengfang Xu ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Cement Industry ◽  
Bottom Up ◽  
Energy Efficiency Potential ◽  
Technology Level ◽  
Level Analysis

scholarly journals Assessing Impacts of Urban Form on Landscape Structure of Urban Green Spaces in China Using Landsat Images Based on Google Earth Engine

2018 ◽  
Vol 10 (10) ◽  
pp. 1569 ◽  
Author(s):  
Conghong Huang ◽  
Jun Yang ◽  
Peng Jiang
Keyword(s):  
Land Cover ◽  
Landscape Structure ◽  
Urban Form ◽  
Google Earth ◽  
Green Spaces ◽  
Road Density ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Google Earth Engine ◽  
Land Cover Maps

The structure of urban green spaces (UGS) plays an important role in determining the ecosystem services that they support. Knowledge of factors shaping landscape structure of UGS is imperative for planning and management of UGS. In this study, we assessed the influence of urban form on the structure of UGS in 262 cities in China based on remote sensing data. We produced land cover maps for 262 cities in 2015 using 6673 scenes of Landsat ETM+/OLI images based on the Google Earth Engine platform. We analyzed the impact of urban form on landscape structure of UGS in these cities using boosted regression tree analysis with the landscape and urban form metrics derived from the land cover maps as response and prediction variables, respectively. The results showed that the three urban form metrics—perimeter area ratio, road density, and compound terrain complexity index—were all significantly correlated with selected landscape metrics of UGS. Cities with high road density had less UGS area and the UGS in those cities was more fragmented. Cities with complex built-up boundaries tended to have more fragmented UGS. Cities with high terrain complexity had more UGS but the UGS were more fragmented. Our results for the first time revealed the importance of urban form on shaping landscape structure of UGS in 262 cities at a national scale.

scholarly journals The Effect of Climate Conditions on the Relation between Energy Efficiency and Urban Form

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 582 ◽  
Author(s):  
Dimitra Tsirigoti ◽  
Katerina Tsikaloudaki
Keyword(s):  
Energy Efficiency ◽  
Urban Form ◽  
Climate Conditions

scholarly journals The transformations of the peripheral urban form in Brazilian listed heritage coastal cities and their morphological typologies: classification and concepts

2017 ◽  
Author(s):  
Ramon Fortunato Gomes
Keyword(s):  
Urban Form ◽  
Urban Expansion ◽  
Google Earth ◽  
Brazilian Coast ◽  
Urban Forms ◽  
Territorial Planning ◽  
Forest Law ◽  
Peripheral Areas ◽  
Object Of Study ◽  
The Impact

This paper presents the results of my PhD research in architecture and urbanism, which analyzes an urban form and its use as a territorial planning tool. The object of study was the protected historic cities listed on the Brazilian coast, which have restrictions on building construction. These cities are influenced by urban flows, the impact of the metropolitan dynamics, and contemporary transformations. The research discusses the rigidity of the building legislation in the urban perimeter of these cities, while urban transformations and informal growth take place in peripheral areas in varied forms, types and arrangements. It aims to identify, classify and conceptualize the morphological types that appear as urban occurrences and consolidate as dispersed informal nuclei. Such urban occurrences are due to the building restrictions, the lack of territorial planning, and the contemporary globalized model of life, which shapes social inequality in urban expansion. The research methodology consisted of a perimeter survey of the 27 heritage listed cities on the Brazilian coast, according to the parameters obtained by Brazilian Forest Law (12.651/2012) and Brazilian Urban Land Parceling Law (Law 6.766/1979). Also, imagery collected by Google Earth was used to identify urban formations that deviate from legislation, similarly to the object of study. As a result, 16 types of urban forms were classified, which consolidated as nuclei of dispersed formations and were linked to an informal urban structural network. Also, territorial planning guidelines were designed, using the analysis of urban forms as a tool for urban transformation.

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