Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches

Purpose Disaster risk reduction is prominent in the international policy agenda, and the year 2015 brought together three international policy frameworks that contribute to disaster risk reduction (i.e. the Sendai framework for disaster risk reduction, the Sustainable Development Goals and Paris Climate Change Agreement – COP21). However, there is a dearth of effort at identifying and aligning the specific educational needs of built environment professionals with the three policy frameworks. This is needed to facilitate the incorporation of the contents of the policy frameworks into built environment professionals’ training. Therefore, this study aims to map the educational needs of built environment professionals with the core areas of the three international policy frameworks. Design/methodology/approach This study utilized CADRE (Collaborative Action towards Disaster Resilience Education) research project outcomes alongside the earlier mentioned three international policy frameworks. A comprehensive desk review was done to map the educational needs identified in the CADRE project with the core priority areas of the three policy frameworks. Findings The study revealed the educational needs that are significant towards an effective implementation of the core priority areas of the three international policy frameworks. Practical implications This study would be beneficial to the built environment professionals involved in disaster risk reduction. They will be aware of the specific knowledge areas that would aid the successful implementation of the aforementioned three international policy frameworks. Originality/value The outcomes of the study would be beneficial to higher education providers in disaster risk reduction and sustainable development. It has identified the knowledge and competency gaps needed to be bridged in the curricula to meet the demands created by the international policy frameworks.

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A method for energy efficiency assessment during urban energy planning

Smart and Sustainable Built Environment ◽

10.1108/sasbe-12-2013-0056 ◽

2014 ◽

Vol 3 (2) ◽

pp. 132-152 ◽

Cited By ~ 3

Author(s):

Karin Regina de Casas Castro Marins

Keyword(s):

Energy Efficiency ◽

Urban Areas ◽

Energy Use ◽

Energy Performance ◽

Urban Morphology ◽

Pollutant Emissions ◽

Energy Planning ◽

Bottom Up ◽

Content Type ◽

Urban Energy

Purpose – Energy use in urban areas has turned a subject of local and worldwide interest over the last few years, especially emphasized by the correlated greenhouse gases emissions. The purpose of this paper is to analyse the overall energy efficiency potential and emissions resulting from integrated solutions in urban energy planning, in the scale of districts and neighbourhoods in Brazil. Design/methodology/approach – The approach is based on the description and the application of a method to analyse energy performance of urban areas and support their planning. It is a quantitative bottom-up method and involves urban morphology, urban mobility, buildings and energy supply systems. Procedures are applied to the case study of Agua Branca urban development area, located in Sao Paulo, Brazil. Findings – In the case of Agua Branca area, energy efficiency measures in buildings have shown to be very important mostly for the buildings economies themselves. For the area as a whole, strategies in promoting public transport are more effective in terms of energy efficiency and also to decrease pollutant emissions. Originality/value – Literature review has shown there is a lack of approaches and procedures able to support urban energy planning at a community scale. The bottom-up method presented in this paper integrates a plenty of disaggregated and multisectoral parameters at the same stage in urban planning and shows that is possible to identify the most promising actions by building overall performance indexes.

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A new clustering and visualization method to evaluate urban energy planning scenarios

10.31224/osf.io/b9znk ◽

2018 ◽

Author(s):

Sara Torabi Moghadam ◽

Silvia Coccolo ◽

Guglielmina Mutani ◽

Patrizia Lombardi ◽

Jean Louis Scartezzini ◽

...

Keyword(s):

Energy Consumption ◽

Urban Areas ◽

Energy Demand ◽

Planning Process ◽

Energy Transition ◽

Climatic Conditions ◽

Energy Planning ◽

Transition Strategies ◽

Urban Energy ◽

The City

The spatial visualization is a very useful tool to help decision-makers in the urban planning process to create future energy transition strategies, implementing energy efficiency and renewable energy technologies in the context of sustainable cities. Statistical methods are often used to understand the driving parameters of energy consumption but rarely used to evaluate future urban renovation scenarios. Simulating whole cities using energy demand softwares can be very extensive in terms of computer resources and data collection. A new methodology, using city archetypes is proposed, here, to simulate the energy consumption of urban areas including urban energy planning scenarios. The objective of this paper is to present an innovative solution for the computation and visualization of energy saving at the city scale.The energy demand of cities, as well as the micro-climatic conditions, are calculated by using a simplified 3D model designed as function of the city urban geometrical and physical characteristics. Data are extracted from a GIS database that was used in a previous study. In this paper, we showed how the number of buildings to be simulated can be drastically reduced without affecting the accuracy of the results. This model is then used to evaluate the influence of two set of renovation solutions. The energy consumption are then integrated back in the GIS to identify the areas in the city where refurbishment works are needed more rapidly. The city of Settimo Torinese (Italy) is used as a demonstrator for the proposed methodology, which can be applied to all cities worldwide with limited amount of information.

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Urban energy performance calculation based on EPBD standards. GIS4ENER tool

Proceedings of the 56th ISOCARP World Planning Congress ◽

10.47472/rkym5201 ◽

2020 ◽

Author(s):

Gema Hernandez-Moral ◽

◽

Víctor Iván Serna-Gonzalez ◽

Francisco Javier Miguel Herrero ◽

César Valmaseda-Tranque

Keyword(s):

Energy Demand ◽

Planning Process ◽

Energy Performance ◽

Local Scale ◽

Decision Makers ◽

Energy Planning ◽

Strong Impact ◽

Building Stock ◽

Urban Energy ◽

Performance Calculation

Climate change will have a strong impact on urban settings, which will also represent one of the major challenges (world’s urban population is expected to double by 2050, EU buildings consume 40% final energy and generate 36% CO2 emissions). A plethora of initiatives address this challenge by stressing the underlying necessity of thinking globally but acting locally. This entails the inclusion of a varied set of decision-makers acting at different scales and needing robust, comprehensive and comparable information that can support them in their energy planning process. To this end, this paper presents the GIS4ENER tool to support energy planners at different scales by proposing a bottom-up approach towards the calculation of energy demand and consumption at local scale that can be aggregated to support other decision-making scales. It is based on three main pillars: the exploitation of publicly available data (such as Open Street Maps, Building Stock Observatory or TABULA), the implementation of standardised methods to calculate energy (in particular the ISO52000 family) and the use of Geographic Information Systems to represent and facilitate the understanding of results, and their aggregation. The paper presents the context, main differences with other approaches and results of the tool in Osimo (IT).

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Integrated Urban-Energy Planning for the Redevelopment of the Berlin-Tegel Airport

Smart and Sustainable Planning for Cities and Regions - Green Energy and Technology ◽

10.1007/978-3-319-44899-2_23 ◽

2016 ◽

pp. 407-419

Author(s):

Jean-Marie Bahu ◽

Christoph Hoja ◽

Diane Petillon ◽

Enrique Kremers ◽

Xiubei Ge ◽

...

Keyword(s):

Energy Planning ◽

Urban Energy

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