GIS-based analysis of renewable energy potentials in urban space

2012 ◽  
Vol 3 (2) ◽  
pp. 127-132 ◽  
Author(s):  
T. David ◽  
T. Haselmayr
Keyword(s):  
Renewable Energy ◽  
Urban Space ◽  
Energy Demand ◽  
Energy Transition ◽  
Renewable Energies ◽  
Energy Planning ◽  
Energy Concept ◽  
Urban Energy ◽  
The City

Abstract GIS-based analysis of energy demand facilitates the planning and implementation of renewable energies in urban space. The process of preparing an urban energy concept concerns many actors and facilities, but increases also the acceptance of the energy transition in the proximity. A calculation of energy potentials in the city of Augsburg (Germany) illustrates an usual way of spatial energy planning.

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

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.

scholarly journals Local Energy Planning Potentialities in Reducing São Paulo’s Inequalities

2021 ◽  
Vol 24 ◽  
Author(s):  
Flávia Mendes de Almeida Collaço ◽  
Célio Bermann
Keyword(s):  
Renewable Energy ◽  
Simulation Model ◽  
Energy Demand ◽  
Ghg Emissions ◽  
Energy System ◽  
Energy Planning ◽  
Local Energy ◽  
Urban Energy ◽  
The City ◽  
Energy Strategies

Abstract This study analyzes the local energy planning (LEP), a set of urban energy strategies and potential scope, for São Paulo from 2014 to 2030. A simulation model is used to quantify the impacts of implementing LEP strategies on the city’s energy system based on three indicators: energy demand, percentage usage of renewable sources, and greenhouse gas (GHG) emissions. The performance of LEP strategies was analyzed for two scenarios: the first reproduces the city policies in force, and the second expands the population’s access to city energy services. Considering the implementation of LEP in the first scenario, the city exhibits a 65% usage of renewable energy and a 43% reduction in GHG emissions in 2030. Furthermore, implementation of the same strategies in the second scenario, also for 2030, results in a 67% usage of renewable energy with a 24% reduction in emissions compared to 2014.

scholarly journals Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning

Buildings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 322
Author(s):  
Simone Ferrari ◽  
Federica Zagarella ◽  
Paola Caputo ◽  
Giuliano Dall’O’
Keyword(s):  
Energy Demand ◽  
National Level ◽  
Energy Planning ◽  
Urban Context ◽  
Existing Building ◽  
Urban Buildings ◽  
Usage Patterns ◽  
Urban Level ◽  
The City ◽  
Insight Into

To boost energy efficiency in the building sector at urban and district scales, the use of a Geographic Information System (GIS) for data collection and energy spatial analysis is relevant. As highlighted in many studies on this topic reported in literature, the correlation among available databases is complex due to the different levels of information. As the first part of a wide research aimed at estimating the energy demand of urban buildings, we present in this article a focus on the details of the GIS-based procedure developed to assess the main energy-related features of existing building stocks. The procedure is based on the elaboration of data from the Italian Topographic Databases, under provision at the national level according to the INSPIRE European Directive and the national General Census of Population and Houses. It enables one to calculate and map the urban built volume characterized by mostly diffuse use categories in an urban context (residential and offices), to which different equipment and building usage patterns can be associated, and by construction periods, featuring different technological solutions. The method has been applied to the city of Milan (Italy). An insight into the outcomes from the overall method of the wider research is also reported.

scholarly journals Urban energy performance calculation based on EPBD standards. GIS4ENER tool

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).

China's energy transition strategy at the city level: The role of renewable energy

2018 ◽  
Vol 205 ◽  
pp. 980-986 ◽  
Author(s):  
Xiao-Chen Yuan ◽  
Yan-Jun Lyu ◽  
Bing Wang ◽  
Qiao-Hong Liu ◽  
Qing Wu
Keyword(s):  
Renewable Energy ◽  
Energy Transition ◽  
Transition Strategy ◽  
The City

scholarly journals Can the 1.5 ℃ warming target be met in a global transition to 100% renewable energy?

AIMS Energy ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1170-1191
Author(s):  
Peter Schwartzman ◽  
◽  
David Schwartzman ◽  
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Energy Transition ◽  
Climate Mitigation ◽  
Energy Poverty ◽  
Global Energy ◽  
Mitigation And Adaptation

<abstract> <p>First, we recognize the valuable previous studies which model renewable energy growth with complete termination of fossil fuels along with assumptions of the remaining carbon budgets to reach IPCC warming targets. However, these studies use very complex combined economic/physical modeling and commonly lack transparency regarding the sensitivity to assumed inputs. Moreover, it is not clear that energy poverty with its big present impact in the global South has been eliminated in their scenarios. Further, their CO<sub>2</sub>-equivalent natural gas emission factors are underestimated, which will have significant impact on the computed greenhouse gas emissions. Therefore, we address this question in a transparent modeling study: can the 1.5 ℃ warming target still be met with an aggressive phaseout of fossil fuels coupled with a 100% replacement by renewable energy? We compute the continuous generation of global wind/solar energy power along with the cumulative carbon dioxide equivalent emissions in a complete phaseout of fossil fuels over a 20 year period. We compare these computed emissions with the state-of-the-science estimates for the remaining carbon budget of carbon dioxide emissions consistent with the 1.5 ℃ warming target, concluding that it is still possible to meet this warming target if the creation of a global 100% renewable energy transition of sufficient capacity begins very soon which will likely be needed to power aggressive negative carbon emission technology. The latter is focused on direct air capture for crustal storage. More efficient renewable technologies in the near future will make this transition easier and promote the implementation of a global circular economy. Taking into account technological improvements in 2<sup>nd</sup> law (exergy) efficiencies reducing the necessary global energy demand, the renewable supply should likely be no more than 1.5 times the present level, with the capacity to eliminate global energy poverty, for climate mitigation and adaptation.</p> </abstract>

scholarly journals Legal and Policy Framework for Renewable Energy and Energy Efficiency Development in Vietnam

2020 ◽  
Vol 1 (1) ◽  
pp. 33-47
Author(s):  
Tran Viet Dung
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Demand ◽  
Large Scale ◽  
Negative Impact ◽  
High Energy ◽  
Renewable Energies ◽  
Policy Framework ◽  
Renewable Energy Resources ◽  
Economic Sectors

AbstractVietnam has experienced an economic growth accompanied by increasing energy demand and inadequate supplies. Like most developing countries, the increased inefficient use of energy in Vietnam leads to increased greenhouse gas emissions and high energy costs for consumers. Also, the traditional sources of energy are not sufficient to satisfy the demand of the economic sectors.With the negative impact of climate change on water resources and the depletion of coal, oil and gas reserves, Vietnam must diversify and integrate other forms of renewable energies into its energy mix. The efficient use of renewable energy resources can boost economic development. Thus, the policies for endorsing renewable energies and energy efficiency are playing a vital role in ensuring the sustainable development for Vietnam’s future. This paper examines the legal and policy framework influencing the deployment of renewable energies and energy efficiency in Vietnam. The paper also attempts to identify major barriers to a large scale deployment of renewable energies and energy efficiency technologies and offers some possible solutions.

Integration of Hydro and Renewable Energy Resources in Energy Planning

2020 ◽  
Author(s):  
Lucero Cynthia Luciano De La Cruz ◽  
Cesar Celis
Keyword(s):  
Renewable Energy ◽  
Energy Transition ◽  
Forecast Model ◽  
Energy Resources ◽  
Energy Planning ◽  
Renewable Energy Resources ◽  
Short Term ◽  
Hydropower Plants ◽  
Forecast Models ◽  
Definition Of

Abstract Renewable energy is the energy obtained from resources inexhaustible in the long term. Furthermore, in some countries, non-conventional renewable energy includes solar, wind, biomass, geothermal and mini-hydropower. The definition of mini-hydropower plants varies depending on the country. As an example, in Peru and Canada, mini-hydropower plants have different installing capacities, below 20MW and 50MW, respectively. Accordingly, this work (i) discusses the Energy Balance and challenges that renewable energies have to face on their way to the energy transition, (ii) highlights the forecast models to generate renewable energy in short-term energy planning. The historical data about the renewable energy resources and the energy produced have been obtained by COES. The R studio software was used for statistical analysis of renewable resources and electricity generation. Also, a forecast model was developed using a neural network to forecast renewable energy generation. The results show a strong correlation between hydro resources and non-conventional renewable energy resources. Finally, the data obtained from the renewable generation forecast model were used as input to carry out a short-term dispatch model using GAMS software to determine the forecast of daily marginal cost in SEIN.

Energy Model Applied to Renewable Energy in Housing Systems

2016 ◽  
Vol 369 ◽  
pp. 135-141
Author(s):  
L.J.C. Vasconcelos ◽  
V.S. da Silva
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Energy Planning ◽  
Energy Matrix ◽  
Renewable Sources ◽  
Housing Systems ◽  
World Energy ◽  
Global Events ◽  
Method Model

In recent decades, global events and extreme changes make sustainable development and renewable energy a frequent subject of discussion in numerous global meetings. To analyze the energy matrix of a region in order to optimize it sustainably, is a way to reduce the impacts of these changes. Currently, the world energy matrix is made up of 81.0 % of non-renewable sources (78.4% oil and oil products, natural gas and coal, and 2.6 % uranium) and 19.0 % from renewable sources, (traditional biomass 9.0 %, bio-heat 2.6 %, 3.8% hydropower and 3.6% others renewable energies such as solar, wind, geothermal, biodiesel, ethanol, ocean power, etc.). In this sense, the aim of this work is to establish a sustainable model of energy planning in a region taking into account local characteristics and the efficiency in the power generation for residential systems. Energy demand data was collected from different Brazilian companies. From the data obtained, it was found that the method/model used is very efficient for the case study related to the energy efficiency of housing systems using renewable energy.

scholarly journals The Energy Transition from Plant Operators’ Perspective—A Behaviorist Approach

2019 ◽  
Vol 11 (6) ◽  
pp. 1621 ◽  
Author(s):  
Stephan Bosch ◽  
Lucas Schwarz
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Energy Transition ◽  
Postal Survey ◽  
Renewable Energies ◽  
Social Consequences ◽  
Large Power ◽  
Regional Energy ◽  
Power Stations ◽  
Site Planning

The implementation of many small power stations compensates the closing of powerful large power plants as part of the German Energy Transition is compensated. It is unclear how site decisions are made, which actors are involved, and which economic, ecological, and social consequences occur. The quantitative study consists of a written postal survey of renewable energy plant operators, concerning central aspects of project development. The study found strong regional disparities concerning the entrepreneurial behavior of plant operators of renewable energies, a low importance of socio-institutional and socio-cultural parameters, a great relevance of micro-social environment during site planning of renewable energy plants, and that plant operators are highly influenced by economic and individual desires. It may be concluded that the perspectives operators have on the Energy Transitions must be more systematically included into the discourse regarding the sustainable deployment of renewable energies, as they reveal significant disparities with topics that are emphasized by the public (e.g., landscape aesthetic, citizens’ participation). It was shown that the challenges and problems that arise in the context of regional energy transformation cannot be generalized beyond regional circumstances; rather, they must be regarded as specific regional phenomena that have to be overcome by means of regionally adapted energy concepts.

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