Spatial comparison of renewable energy supply and energy demand for low-carbon settlements

Vettorato, Daniele; Geneletti, Davide; Zambelli, Pietro

doi:10.1016/j.cities.2011.07.004

Cited by 31 publications

(15 citation statements)

References 7 publications

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“… Exclude protected forest areas, natural preservation areas, national parks (special preservation areas), and wildlife conservation areas assigned by relative laws in Japan.  Slope < 20% [5,10].…”

Section: Biomassmentioning

confidence: 99%

“…Factors such as subsurface temperature at a depth of 500-3000 m, soil and bedrock layers, and ground water conditions should be considered [5]. We obtained geothermal density raster map (resolution 100 m) from Basic Zoning Information (2012) of RE by Japanese Ministry of Environment [74].…”

Section: Geothermalmentioning

confidence: 99%

“…It also plays a vital role in the overall sustainable development strategy [3,4]. The spatial distribution of Renewable Energy Sources (RES) is strongly affected by geographic and topographic factors such as altitude, climate, and terrain conditions [5]. Thus, exploration and supply of RE take place at the local or regional levels [6,7].…”

Section: Introductionmentioning

confidence: 99%

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A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan

2014

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This paper presents an approach in support of spatial planning for renewable energy at the regional level. It aims to establish an elaborate and informative procedure, as well as integrated quantification and visualization, to support decision making. The proposed approach is composed of a set of sequential steps that include primary energy consumption estimation, renewable energy potential estimation, energy self-sufficiency analysis, and composite map preparation using Geographic Information System (GIS). GIS is used to analyze solar, wind, biomass, geothermal, and hydro-power potential within Fukushima Prefecture, Japan. Potential sites are determined based on geographic, topographic, and land use constraints. Evacuees' population and forest radiation levels are specifically considered in the context of consequent issues emanating from Fukushima Daiichi nuclear crisis. Energy self-sufficiency analysis has been conducted for years 2020 and 2030. A composite map showing potential sites and their interrelation to the above renewable energy resources has also been presented. These results may support decision making in regional renewable energy planning, by providing information on regional potentials and restrictions to different energy stakeholders. This can help to build an energy developmental vision, which can drive regional energy development towards sustainability. The proposed approach can also be applied to other Japanese municipalities or regions. It provides an example on how to establish local GIS databases through the utilization of various online open GIS resources in Japan.

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Section: Biomassmentioning

confidence: 99%

Section: Geothermalmentioning

confidence: 99%

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A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan

2014

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“…The building sector in particular is one of the main end users of energy [2,3]. Energy consumption for the buildings sector worldwide is expected to grow by 45% in the 2002-2025 period [4]. In rapidly developing Middle Eastern countries such as UAE and Qatar, air-conditioning (AC) is a key contributor to greenhouse gas (GHG) emissions [5].…”

Section: Introductionmentioning

confidence: 99%

Climatic analysis of a passive cooling technology for the built environment in hot countries

2017

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The aim of this work was to determine the ventilation and cooling potential of a passive cooling windcatcher operating under hot climatic conditions by replicating the monthly wind velocity, wind direction, temperature and relative humidity (RH) observed in a hot-desert city. The city of Ras-Al-Khaimah (RAK), UAE was used as the location of the case-study and available climatic data was used as inlet boundary conditions for the numerical analysis. The study employed the CFD code FLUENT 14.5 with the standard k-model to conduct the steady-state RANS simulation. The windcatcher model was incorporated to a 3 x 3 x 3 m 3 test room model, which was identical to the one used in the field test. Unlike most numerical simulation of windcatchers, the work will simulate wind flows found in sub-urban environment. The numerical model provided detailed analysis of the pressure, airflow and temperature distributions inside the windcatcher and test room model. Temperature and velocity profiles indicated an induced, cooler airflow inside the room; outside air was cooled from 38˚C to 26-28˚C, while the average induced airflow speed was 0.59 m/s (15% lower compared to a windcatcher w/out heat pipes). Field testing measurements were carried out in the Jazira Hamra area of RAK during the month of September. The test demonstrated the positive effect of the integration of heat pipes on the cooling performance but also highlighted several issues. The comparison between the measured and predicted supply temperatures were in good agreement, with an average error of 3.15%.

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“…Territorial and technological characteristics can be highly differentiated among study areas and could introduce variation into assessments of agroenergy (Freppaz et al 2004, Vettorato et al 2011. The characteristics of the European region, particularly those of the Italian territorial area, coupled with the present forest landscape dynamics (Tattoni et al , 2011 have suggested how the exploitation of wood-energy sources can achieve a high level of importance for bioenergy production in these areas (e.g., for a widespread relationship linking the agroforestry environment with the local population -Ramachandra 2009, Notaro & Paletto 2011).…”

Section: Introductionmentioning

confidence: 99%

Biomasfor: an open-source holistic model for the assessment of sustainable forest bioenergy

Sacchelli¹,

Zambelli²,

Zatelli³

et al. 2013

iForest

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© iForest -Biogeosciences and Forestry IntroductionThe assessment of the agroenergy chain is a fundamental issue in the field of renewable energies, in particular for the substitution of alternative energy sources for fossil fuels in rural areas (Fiorese & Guariso 2010). In this framework, the relevant topics are the evaluation of the bioenergy demand/supply ratio and the quantification of the impact of biomass on ecological and socio-economic parameters (Steubing et al. 2010). Furthermore, the evaluation of the agroenergy chain must consider policy directives and the presence of fundings and regulation that can cause market distortion (Sonneborn 2004).The analysis of the biomass sector in holistic terms is quite complex given the proposed objectives and scale of results (Cornelissen et al. 2012). Territorial and technological characteristics can be highly differentiated among study areas and could introduce variation into assessments of agroenergy (Freppaz et al. 2004, Vettorato et al. 2011. The characteristics of the European region, particularly those of the Italian territorial area, coupled with the present forest landscape dynamics (Tattoni et al. , 2011 have suggested how the exploitation of wood-energy sources can achieve a high level of importance for bioenergy production in these areas (e.g., for a widespread relationship linking the agroforestry environment with the local population -Ramachandra 2009, Notaro & Paletto 2011). The variability of national forest areas in terms of geomorphology, species composition, facilities and socio-economic issues requires the use of flexible tools and Decision Support Systems (DSSs) to quantify the resources and to facilitate the communication between researchers, local stakeholders and policy makers in woodenergy planning activities as applied to the forest sector. A Geographic Information Systems (GIS) approach appears to represent an appropriate tool for attaining this goal.Several studies have analysed GIS and spatial analysis instruments as tools for biomass chain evaluation at the European, national and local levels. Angelis-Dimakis et al. (2011) classify energy availability in terms of potential availability (according to the gross energy of the source), theoretical availability (the harvestable fraction) and exploitable availability (based on ecological and economic sustainability criteria). A state-of-the-art treatment of the topic of forest biomass availability at the European level was developed by Rettenmaier et al. (2008) who analysed the methodological approaches and input datasets used for bioenergy estimation. These authors classified the analytic process according to biomass typology (ecological, technical, economical, sustainable), biomass sources (e.g., residues, stem, stumps) and spatial-temporal variables (e.g., scale of analysis, time frame). Geomatic applications for biomass resource evaluation have been implemented by different authors (Chirici et al. 2007, Lasserre et al. 2011, Kotamaa et al. 2010). For example, Gallaun et al. (2010) have com...

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Spatial comparison of renewable energy supply and energy demand for low-carbon settlements

Cited by 31 publications

References 7 publications

A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan

A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan

Climatic analysis of a passive cooling technology for the built environment in hot countries

Biomasfor: an open-source holistic model for the assessment of sustainable forest bioenergy

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