GIS-based approach for assessing the energy potential and the financial feasibility of run-off-river hydro-power in Alpine valleys

In the last decade, European attractive policies are favoring the construction of new run-off hydro-power plants. The realization cost of these plants is quite low in mountain areas thanks to small water discharges and high gross heads. For this reason, small rivers have been strongly exploited without considering an optimal use of the resource. Nowadays, available sites are often in areas with low accessibility and a greater specific cost of civil engineering works. However, during the planning of new small hydro-power plants, the dependency of physical, technical, legal and financial variable on space is often not assessed. The tool presented in this paper addresses this gap to support the planning of run-off-river plants. The method improves on previous approaches by (1) integrating all the legal, technical and financial analysis in a GIS tool, and (2) trying to validate the site-specific model with local knowledge. The tool is applied to the Gesso and Vermenagna valleys in the Alps. Information and data were collected and discussed with local stakeholders in order to improve the model results

A method to assess the economic impacts of forest biomass use on ecosystem services in a National Park

The aim of the paper is to develop a method to assess the effect of forest biomass use for energy on ecosystem services (ES). Such method has been in the GRASS GIS environment, by creating an Decision Support System (DSS) called r.green.biomassfor. The method has been tested in the Triglav National Park in Slovenia. The potential forest biomass was estimated with r.green.biomassfor DSS taking into account the effects of forest biomass harvesting on ES in terms of economic value. The economic value of each ecosystem service to society has been estimated using different economic evaluation methods and were spatially located with a Geographical Information System (GIS) application. Then, a semi-structured questionnaire was administered face-to-face to the experts in order to understand the effects of forest biomass harvesting on the ES at local level. Finally, the results of the questionnaire survey were elaborated to obtain indicators useful to assess the economic gain or loss on the benefits provided by ES based on the results of r.green.biomassfor DSS. © 2017 Elsevier Ltd. All rights reserve

Experts’ Perceptions of the Effects of Forest Biomass Harvesting on Sustainability in the Alpine Region

Background and Purpose: In the EU political agenda, the use of forest biomass for energy has grown rapidly and significantly, in order to mitigate carbon dioxide emissions and reduce the energy dependence on fossil fuels of European member countries. The target of the EU climate and energy package is to raise the share of renewable energy consumption produced from renewable resources to 20% in 2020 (Directive 2009/28/EC). With regards to biomass energy, the supply of forest wood biomass is expected to rise by 45% (reference period: 2006-2020), in response to increasing demand for renewable sources. The increase of forest biomass supply could have both positive and negative effects on several forest ecosystem services (ESs) and local development. These effects should be assessed in a proper manner and taken into account when formulating management strategies. The aim of the paper is to assess the environmental, economic and social sustainability of forest biomass harvesting for energy, using the Figure of Merit (FoM) approach. Materials and Methods: Sustainability was assessed through a set of four indicators: two focused on experts’ opinions regarding the effects of forest biomass harvesting and the other two focused on the cost-benefit analysis (potential energy obtained and costs for wood chips). The research was developed through four case studies located in the Alpine Region. A semi-structured questionnaire was administered face-to-face to 32 selected experts. The perceived effects of forest biomass harvesting for energy on ESs and local development were evaluated by experts using a 5-point Likert scale (from “quite negative effect” to “quite positive effect”). Results: All experts agree that forest biomass harvesting has a positive effect on forest products provision and local economic development (employment of local workforce, local entrepreneurship and market diversification), while the effects on other ESs are controversial (e.g. carbon sequestration, habitat quality, natural hazards protection and recreational values). Conclusions: Therefore, it can be asserted that the effects of forest biomass harvesting on sustainability vary according to the local context. The results of FoM can support decision makers in order to analyze the environmental, social and economic sustainability of forest biomass harvesting for energy

LA TRANSIZIONE ENERGETICA NELLA MACROREGIONE ALPINA: DEFINIZIONE DELLA SITUAZIONE DI PARTENZA

Nowadays energy transition is a recurring topic, which describes the process of an energy system moving from fossil-based sources towards renewables. The transition can unfold at different levels, from the single initiative of a local com-munity to a complex cross-border agreement. The latter type is well represented by EUSALP, the European macro-regional strategy for the Alpine region. One of its aims is to transform its territory into a model region for energy efficiency and renewable energy. To support a well-informed decision making process, this study provides the first insight about the status quo of energy balances in EUSALP, at local as well as aggregated level. Moreover, it offers an overview on the various energy targets defined by the territorial units that constitute the EUSALP region. Data has been retrieved via a bottom-up quality-oriented process consisting of (i) a survey targeted at responsible person in local energy departments; and (ii) data control and harmonization. We found that the EUSALP region is actually a model region only in clean power production, whereas starting point as well as energy targets of territories are highly heterogeneous. We al-so identified the need of more harmonized data collection methodologies. We conclude that this bottom-up process can support and legitimate policy makers in cross-border cooperation activities under a smart macro-regional energy strategy, which pursues an increment in energy savings, renewable energy production and a broad engagement of relevant stakeholders. DOI: http://dx.medra.org/10.19254/LaborEst.16.1

LA TRANSIZIONE ENERGETICA NELLA MACROREGIONE ALPINA: DEFINIZIONE DELLA SITUAZIONE DI PARTENZA

Nowadays energy transition is a recurring topic, which describes the process of an energy system moving from fossil-based sources towards renewables. The transition can unfold at different levels, from the single initiative of a local com-munity to a complex cross-border agreement. The latter type is well represented by EUSALP, the European macro-regional strategy for the Alpine region. One of its aims is to transform its territory into a model region for energy efficiency and renewable energy. To support a well-informed decision making process, this study provides the first insight about the status quo of energy balances in EUSALP, at local as well as aggregated level. Moreover, it offers an overview on the various energy targets defined by the territorial units that constitute the EUSALP region. Data has been retrieved via a bottom-up quality-oriented process consisting of (i) a survey targeted at responsible person in local energy departments; and (ii) data control and harmonization. We found that the EUSALP region is actually a model region only in clean power production, whereas starting point as well as energy targets of territories are highly heterogeneous. We al-so identified the need of more harmonized data collection methodologies. We conclude that this bottom-up process can support and legitimate policy makers in cross-border cooperation activities under a smart macro-regional energy strategy, which pursues an increment in energy savings, renewable energy production and a broad engagement of relevant stakeholders

Smart energy systems applied at urban level: the case of the municipality of Bressanone-Brixen

The present paper focuses on the energy system of the municipality of Bressanone-Brixen, located in the North of Italy. The aim of this paper is to investigate various possible energy scenarios for this case study in order to improve the overall efficiency of the system. The different scenarios include high penetration of photovoltaics at urban level, considering the maximum rooftop PV potential of the local area. Different solutions have been analyzed in order to study the handling of the consequent excess of electricity production. Electric storage and a solution combining heat pumps and thermal storage have been evaluated to maximize the local use of the generated electricity. A deterministic approach (without the use of an optimization algorithm) and a heuristic optimization approach have been applied to evaluate the different possible configurations. The present analysis can be of interest for other cities in a mountain environment where the production from renewables is limited by orographic constraints, energy consumption per capita is higher and stronger resiliency to climate change is needed

Multi-objective optimization algorithm coupled to EnergyPLAN software: The EPLANopt model

The planning of energy systems with high penetration of renewables is becoming more and more important due to environmental and security issues. On the other hand, high shares of renewables require proper grid integration strategies. In order to overcome these obstacles, the diversification of renewable energy technologies, programmable or not, coupled with different types of storage, daily and seasonal, is recommended. The optimization of the different energy sources is a multi-objective optimization problem because it concerns economical, technical and environmental aspects. The aim of this study is to present the model EPLANopt, developed by Eurac Research, which couples the deterministic simulation model EnergyPLAN developed by Aalborg University with a Multi-Objective Evolutionary Algorithm built on the Python library DEAP. The test case is the energy system of South Tyrol, for which results obtained through this methodology are presented. Particular attention is devoted to the analysis of energy efficiency in buildings. A curve representing the marginal costs of the different energy efficiency strategies versus the annual energy saving is applied to the model through an external Python script. This curve describes the energy efficiency costs for different types of buildings depending on construction period and location

1D Mobile-Bed Model for Uniform and Non-Uniform Sediment Transport in Free Surface Flows

In the last fifty years, new engineering problems, connected with gravel extraction, installation of dams and disposal of mine waste into rivers, have risen to the extent that sediment transport modeling is assuming a key role in realistic river hydraulic simulations. Floods, meandering, sediment load computation, river bed aggradation or degradation, channel design and navigation are some of the problems concerning the sediment transport in rivers. The description of the river dynamics and morphodynamics is then relevant and a clearer analysis of the existing models is necessary. Standard mathematical models for sediment transport in rivers employ simplified continuity equations. These equations, essentially mono-phase model, are only valid for low sediment concentrations and Froude number. A rather complete approach, quasi-two phase model, is presented and thanks to the coupling between morphodynamics and hydrodynamics it can be applied also to higher concentration regimes and Froude number. Finally, numerical simulation of river dynamics has to consider the non-uniformity of sediments. In this work, a more traditional scheme, in which the grain size distribution curve is divided into a discrete number of classes and the transport is calculated for each class, is compared with a novel formulation. This method is based on the series expansion of sediment transport formulas. In conclusion, the algorithm can be integrated with a description of grain sorting and non-uniform sediment transport in order to better describe the river dynamics and morphology

Cost-benefit Analysis with GIS: An Open Source Module for the Forest Bioenergy Sector

This paper introduces a novel methodology for the optimal use of forest biomass for energy purposes, by means of GIS procedures. The method allows the identification of the most suitable area for a power plant, starting from the energy demand and the local availability of wood resources. After the site identification, the procedure conducts a cost-benefit analysis, including financial and environmental flows. The described methodology has been automatized in GRASS GIS, which is a free and open source GIS software, and now constitutes a downloadable add-on. In this contribution, we tested such procedure in a case study in Italy, the alpine valleys of Gesso and Vermenagna in Piedmont region (North-West of Italy)