Configuration of Green Spaces for Urban Heat Island Mitigation and Future Building Energy Conservation in  Hanoi Master Plan 2030

Trihamdani, Andhang Rakhmat; Lee, Han Soo; Kubota, Tetsu; Phương, Trần Thị Thu

doi:10.3390/buildings5030933

Cited by 20 publications

(8 citation statements)

References 16 publications

(16 reference statements)

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“…Under the HCCMP, about 28% of the natural land in 2011 will be converted to built-up land to accommodate the rising urban population of Hanoi, projected to increase to~9.2 million by 2030 [21]. As a result of the higher demands for housing and infrastructure, the amount of land that is built upon in the Province is projected to rise sharply, by almost three times, from 463.4 km 2 in 2011 to more than 1295 km 2 by 2030 [22]. Consequently, there is an urgent need for urban planners and local authorities to monitor and regulate the upcoming urbanization and its environmental impact.…”

Section: Hanoi Provincementioning

confidence: 99%

Using Satellite Data to Analyse Raw Material Consumption in Hanoi, Vietnam

et al. 2021

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In this work, we provide an innovative route for analysing urban expansion and population growth and their link to the consumption of construction materials by combining satellite data with material consumption analysis within the Hanoi Province (Vietnam). Urban expansion is investigated with the use of landcover maps for the period 1975–2020 derived from satellite. During this period, artificial surfaces and agricultural areas have increased by 11.6% and 15.5%, respectively, while forests have decreased by 26.7%. We have used publicly available datasets to calculate and forecast the construction materials consumption and measure its statistical correlation with urban expansion between 2007 and 2018. Our results show that official figures for sand consumption are currently underestimated, and that by 2030, steel and sand and gravel consumption will increase even further by three and two times, respectively. Our analysis uses a new method to assess urban development and associated impacts by combining socio-economic and Earth Observation datasets. The analysis can provide evidence, underpin decision-making by authorities, policymakers, urban planners and sustainability experts, as well as support the development of informed strategies for resource consumption. It can also provide important information for identifying areas of land conservation and ecological greenways during urban planning.

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Section: Hanoi Provincementioning

confidence: 99%

Using Satellite Data to Analyse Raw Material Consumption in Hanoi, Vietnam

et al. 2021

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“…At the first step, based on the method introduced by Nik [50], the weather data were developed based on the typical and extreme weather conditions of Stockholm. Then, the urban models were generated in Rhinoceros/Grasshopper based on building modular cells or 'BMC' [42]. The models were transferred to Autodesk CFD using Autodesk Inventor to define computational domains and boundary conditions.…”

Section: Cfd and Epsmentioning

confidence: 99%

“…The main factors in the urban microclimate that have been investigated include air temperature [35], surface temperature [36], solar radiation [37], wind flow variations [38], and air humidity [39]. Many works have studied the UHI effect on the energy performance of buildings [40,41] and its impacts on higher cooling demand in cold regions and lower heating demand in hot-arid regions [42,43] in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Microclimate Conditions on the Energy Performance of Buildings in Urban Areas

Javanroodi

Nik

2019

Buildings

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Urbanization trends have changed the morphology of cities in the past decades. Complex urban areas with wide variations in built density, layout typology, and architectural form have resulted in more complicated microclimate conditions. Microclimate conditions affect the energy performance of buildings and bioclimatic design strategies as well as a high number of engineering applications. However, commercial energy simulation engines that utilize widely-available mesoscale weather data tend to underestimate these impacts. These weather files, which represent typical weather conditions at a location, are mostly based on long-term metrological observations and fail to consider extreme conditions in their calculation. This paper aims to evaluate the impacts of hourly microclimate data in typical and extreme climate conditions on the energy performance of an office building in two different urban areas. Results showed that the urban morphology can reduce the wind speed by 27% and amplify air temperature by more than 14%. Using microclimate data, the calculated outside surface temperature, operating temperature and total energy demand of buildings were notably different to those obtained using typical regional climate model (RCM)–climate data or available weather files (Typical Meteorological Year or TMY), i.e., by 61%, 7%, and 21%, respectively. The difference in the hourly peak demand during extreme weather conditions was around 13%. The impact of urban density and the final height of buildings on the results are discussed at the end of the paper.

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“…It was also observed that although sensible cooling loads increased with the increase in outdoor temperature, the latent cooling loads decreased due to the decrease in absolute humidity and the increase in air temperature. Trihamdani et al [31] assessed the UHI effects in the city under the present land use conditions, as well as those conditions proposed by the Hanoi Master Plan 2030 through numerical simulation, using Weather Research and Forecasting (WRF). They found that the peak air temperature in the built-up areas (approximately 1 • C higher at the maximum) was not significantly modified, but high temperature areas, with temperatures of 40-41 • C, would expand widely over the new built-up areas.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the literature survey, state-of-the-art of correlations between UHI or SUHI and land-use composition are being widely analyzed in the recent years. In contrast, the study of UHI or SUHI with respect to Hanoi City Master Plan 2030 is rather limited; for example, about spatial energy consumption [30], assessment of UHI effects based on WRF simulations [31]. Then, what would be the most updated status of land use change with respect to the city Master Plan?…”

Section: Introductionmentioning

confidence: 99%

Assessing the Effects of Land-Use Types in Surface Urban Heat Islands for Developing Comfortable Living in Hanoi City

et al. 2018

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Hanoi City of Vietnam changes quickly, especially after its state implemented its Master Plan 2030 for the city’s sustainable development in 2011. Then, a number of environmental issues are brought up in response to the master plan’s implementation. Among the issues, the Urban Heat Island (UHI) effect that tends to cause negative impacts on people’s heath becomes one major problem for exploitation to seek for mitigation solutions. In this paper, we investigate the land surface thermal signatures among different land-use types in Hanoi. The surface UHI (SUHI) that characterizes the consequences of the UHI effect is also studied and quantified. Note that our SUHI is defined as the magnitude of temperature differentials between any two land-use types (a more general way than that typically proposed in the literature), including urban and suburban. Relationships between main land-use types in terms of composition, percentage coverage, surface temperature, and SUHI in inner Hanoi in the recent two years 2016 and 2017, were proposed and examined. High correlations were found between the percentage coverage of the land-use types and the land surface temperature (LST). Then, a regression model for estimating the intensity of SUHI from the Landsat 8 imagery was derived, through analyzing the correlation between land-use composition and LST for the year 2017. The model was validated successfully for the prediction of the SUHI for another hot day in 2016. For example, the transformation of a chosen area of 161 ha (1.61 km2) from vegetation to built-up between two years, 2016 and 2017, can result in enhanced thermal contrast by 3.3 °C. The function of the vegetation to lower the LST in a hot environment is evident. The results of this study suggest that the newly developed model provides an opportunity for urban planners and designers to develop measures for adjusting the LST, and for mitigating the consequent effects of UHIs by managing the land use composition and percentage coverage of the individual land-use type.

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Configuration of Green Spaces for Urban Heat Island Mitigation and Future Building Energy Conservation in Hanoi Master Plan 2030

Cited by 20 publications

References 16 publications

Using Satellite Data to Analyse Raw Material Consumption in Hanoi, Vietnam

Using Satellite Data to Analyse Raw Material Consumption in Hanoi, Vietnam

Impacts of Microclimate Conditions on the Energy Performance of Buildings in Urban Areas

Assessing the Effects of Land-Use Types in Surface Urban Heat Islands for Developing Comfortable Living in Hanoi City

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