Methods and tools to evaluate the availability of renewable energy sources

https://doi.org/10.1016/j.rser.2010.09.049Get rights and content

Abstract

The recent statements of both the European Union and the US Presidency pushed in the direction of using renewable forms of energy, in order to act against climate changes induced by the growing concentration of carbon dioxide in the atmosphere. In this paper, a survey regarding methods and tools presently available to determine potential and exploitable energy in the most important renewable sectors (i.e., solar, wind, wave, biomass and geothermal energy) is presented. Moreover, challenges for each renewable resource are highlighted as well as the available tools that can help in evaluating the use of a mix of different sources.

Introduction

As we all know, there is basically only one source of energy for us, living on the Earth: the sun. The power it irradiates on our planet is estimated to be about 175,000 TW, four orders of magnitude more than the power we use even in our energy intensive times.

The energy we have received and continue to receive from the sun is converted in many different ways by the dynamics of our planet and of its atmosphere: the high temperatures below the crust are due to its original activity; the presence of hydrocarbons in the soil, to ancient photosynthesis; winds and waves to the present thermal differences.

Thinking to a horizon of few tens of years, the current solar activity and the primordial heat left inside the planet may be assumed as constant and thus represent the unique renewable sources of energy for mankind.

We have however several different ways for transforming this energy into forms that are more suitable for our everyday use. The mechanical energy of winds, water and waves can be converted into electricity so that it can be easily shipped far from the source (and we are not forced any more to bring our grain to the windmills as centuries ago). Biomass resources, which are the product of biological processes induced by solar light, can be burned to produce heat (to be used either as such or again to produce electricity) or chemically or biologically processed to generate usable fuels. The sunlight can be used directly to produce heat in a more usable form or can drive electron movements in silicon cells to produce electricity. A renewable energy source, freshwater, has been indeed the first way of producing electricity and has been extensively studied and exploited all over the world since more than one century. This is why it will not be further analysed in this paper.

All the options we have to extract energy from solar activity enjoy the advantage of being sustainable (they can be replicated in time, at least over a horizon of several years) and to alter only marginally the carbon balance of the planet's atmosphere, because the production, use, and decommissioning of conversion plants involve some emission that is normally small in comparison to those involved in the production of the same energy by fossil fuels. The use of fossil fuels on the contrary is both unsustainable (they are present in the Earth in finite quantities) and increases the amount of CO2 in the atmosphere by releasing the carbon absorbed by vegetation millions of years ago and presently stored into the soil.

On the other hand, all the renewable forms in which we exploit the sun energy are characterized by being spatially distributed and lacking the huge reservoirs of fossil fuels or freshwater, that can easily compensate for the time differences between offer and demand of energy. So the exploitation of these sources of energy is somehow more complex, and they are sometimes referred as “intermittent sources”.

Their spatial distribution also means that their exploitation is closely linked to the peculiar characteristics of the local environment and, in turn, it may have environmental impacts distributed on a wider area.

A characteristic they share with fossil energy sources is the impossibility of converting and exploiting all the energy which is potentially available. We can thus distinguish three different values:

  • potential energy, that is the gross energy of the source (e.g. that of wind at a given location);

  • theoretical energy, that is the fraction that can be harvested by the energy conversion system (e.g. the solar radiation collected by a certain surface of solar panels);

  • exploitable energy, the fraction that can be used taking into account criteria of sustainability related to logistic, environmental and economic issues (e.g. the heat produced by a biomass fueled plant).

These definitions may be interpreted in a slightly different way for different applications. In many cases, for instance, the electric output of a plant can be considered as representing the exploitable energy. However, if we are talking of an offshore wind farm, 20 km from the rest of the grid, perhaps we want to compute the electric energy net from the (non-irrelevant) losses on the underwater connecting cable.

Despite the technological and logistic difficulties, the attention toward these renewable forms of energy is steadily increasing all over the world, due to the urgency to act against climate changes induced by the growing concentration of carbon dioxide in the atmosphere. The recent statements of both the European Union and the US Presidency pushed in this direction.

As an example, the European Union set an overall binding target of a 20% share of renewable energy sources in energy consumption and a 10% binding minimum target for biofuels in transport to be achieved by each Member State by 2020. Reaching this target will need a consistent proactive attitude of all governments, since in 2006 renewable energies were estimated at 6.92% of the primary energy consumption of the EU countries, and at 14.6%, mainly hydropower, of the electricity production.

This is why it is worth to revise methods and tools presently available to determine potential and exploitable energy in the most important renewable sectors, as done in this paper.

In the next sections, we will thus survey the state of the art of evaluation approaches for solar, wind, wave, biomass and geothermal energy, with attention to the site specific environmental characteristics, but without dealing with the final conversion step. Though this must be kept in mind because it sometimes influences the amount of exploitable energy, a review of possible conversion devices and processes would go far beyond the scope of this paper.

Section snippets

Solar resource potentials

Today, the most common technologies for utilising solar energy are photovoltaic and solar thermal systems. One of the main influencing factors for an economically feasible performance of solar energy systems (besides of installation costs, operation costs and lifetime of system components) is the availability of solar energy on ground surface that can be converted into heat or electricity [1]. Therefore precise solar irradiation data are of utmost importance for successful planning and

Wind resource potential

Wind was one of the first energy sources to be harnessed by early civilizations. Wind power has been used to propel sailboats and sail ships, to provide mechanical power for grinding grain in windmills and for pumping water. The world's first automatically operated wind turbine, which was built in Cleveland in 1888 by C.F. Brush, was 18 m tall and had a 12 kW turbine [22]. Nowadays the use of wind energy in electricity generation is widely spread and new units with nominal capacity of thousands

Wave energy potential

The worldwide wave energy potential is estimated of the same order of magnitude as the world electrical energy consumption, however power generation is not currently a widely employed commercial technology. Some of the earliest recorded attempts to convert wave energy into more usable forms date back to several centuries, and today, thanks to the offshore oil industry and offshore wind energy development, much of the infrastructure and knowledge necessary to efficiently generate energy from the

Dry biomass and energy crops potential

Biomass resources have been largely used as traditional fuels and are now being promoted as a strategy to achieve sustainable development. Biomass is mainly available locally, allows the widespread production of energy at reasonable costs and can help to mitigate climate change, develop rural economies and increase energy security. Consequently, several methods and tools have been developed to assess the availability of biomass resources. We focus in this section on methods and tools for

Wet biomasses and biogas potential

In this section of the paper, we will analyse biogas production via anaerobic digestion (AD). Biogas produced via AD is a mixture of methane (CH4) and carbon dioxide (CO2), in a ratio of about 60/40 to 70/30. Biogas can then be burned in stationary engines to produce electrical and/or thermal energy or to fuel vehicles.

In recent years, AD has been developing as one of the most attractive renewable energy resources especially in Northern Europe. European production of primary energy from biogas

Geothermal energy resource potential

Geothermal energy is the heat that can, or could, be extracted from the interior of the Earth. This heat has two primary sources: the decay of the long live radioactive isotopes and the stored energy from planetary accretion. Geothermal heat has the advantage of being available all day and in all seasons.

Geothermal energy, as natural steam and hot water, has been exploited for decades to generate electricity, in domestic heating and industrial processes. In year 2000, geothermal resources have

Conclusion

A survey of methods and tools to evaluate the availability of renewable resources (i.e., solar, wind, wave, biomass and geothermal energy) has been presented. In particular, potential, theoretical and exploitable energy have been differentiated and investigated for each kind of resource. All these energy sources share the feature of being distributed over the territory and of being measurable only at specific sites. This means that they all need tools to determine their spatial dimension and

References (184)

  • Z. Sen et al.

    Regional assessment of wind power in western Turkey by the cumulative semivariogram method

    Renewable Energy

    (1997)
  • A.L. Rogers et al.

    Comparison of the performance of four measure–correlate–predict algorithms

    Journal of Wind Engineering and Industrial Aerodynamics

    (2005)
  • D.A. Bechrakis et al.

    Wind resource assessment of an area using short term data correlated to a long term data set

    Solar Energy

    (2004)
  • K. Ayotte

    Computational modelling for wind energy assessment

    Journal of Wind Engineering and Industrial Aerodynamics

    (2008)
  • J.M.L.M. Palma et al.

    Linear and nonlinear models in wind resource assessment and wind turbine micro-siting in complex terrain

    Journal of Wind Engineering and Industrial Aerodynamics

    (2008)
  • T.J. Lyons et al.

    Mesoscale variations in available wind power potential

    Solar Energy

    (1990)
  • B.D. Katsoulis et al.

    The wind energy potential of western Greece

    Solar Energy

    (1992)
  • D.W. Pepper et al.

    Application of an h-adaptive finite element model for wind energy assessment in Nevada

    Renewable Energy

    (2007)
  • H. Kondo et al.

    Calculation of wind in a Tokyo urban area with a mesoscale model including a multi-layer urban canopy model

    Journal of Wind Engineering and Industrial Aerodynamics

    (2008)
  • D. Voivontas et al.

    Evaluation of renewable energy potential using a GIS decision support system

    Renewable Energy

    (1998)
  • T.L. Acker et al.

    Wind resource assessment in the state of Arizona: inventory, capacity factor, and cost

    Renewable Energy

    (2007)
  • M. Hoogwijk et al.

    Assessment of the global and regional geographical, technical and economic potential of onshore wind energy

    Energy Economics

    (2004)
  • B. de Vries et al.

    Renewable energy sources: their global potential for the first-half of the 21st century at a global level: an integrated approach

    Energy Policy

    (2007)
  • A. Dhanju et al.

    Assessing offshore wind resources: an accessible methodology

    Renewable Energy

    (2008)
  • B. Lange et al.

    Evaluation of the wind-resource estimation program WAsP for offshore applications

    Journal of Wind Engineering and Industrial Aerodynamics

    (2001)
  • H.E. Krogstad et al.

    Satellite wave measurements for coastal engineering applications

    Coastal Engineering

    (1999)
  • E. Rusu et al.

    Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore

    Renewable Energy

    (2009)
  • M. Folley et al.

    Analysis of the nearshore wave energy resource

    Renewable Energy

    (2009)
  • D. Dunnett et al.

    Electricity generation from wave power in Canada

    Renewable Energy

    (2009)
  • U. Henfridsson et al.

    Wave energy potential in the Baltic Sea and the Danish part of the North Sea, with reflections on the Skagerrak

    Renewable Energy

    (2007)
  • A. Nobre et al.

    Geo-spatial multi-criteria analysis for wave energy conversion system deployment

    Renewable Energy

    (2009)
  • R. Prest et al.

    Using GIS to evaluate the impact of exclusion zones on the connection cost of wave energy to the electricity grid

    Energy Policy

    (2007)
  • M. Mueller et al.

    Enabling science and technology for marine renewable energy

    Energy Policy Foresight Sustainable Energy Management and the Built Environment Project

    (2008)
  • G.P. Harrison et al.

    Climate sensitivity of marine energy

    Renewable Energy

    (2005)
  • S. Brown

    Measuring carbon in forests: current status and future challenges

    Environmental Pollution

    (2002)
  • S.L. Brown et al.

    Spatial distribution of biomass in forests of the eastern USA

    Forest Ecology and Management

    (1999)
  • R. Joosten et al.

    Evaluating tree carbon predictions for beech (Fagus sylvatica L.) in Western Germany

    Forest Ecology and Management

    (2004)
  • A. Lehtonen et al.

    Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests

    Forest Ecology and Management

    (2004)
  • L. Panichelli et al.

    GIS-based approach for defining bioenergy facilities location: a case study in Northern Spain based on marginal delivery costs and resources competition between facilities

    Biomass and Bioenergy

    (2008)
  • K. Umeki et al.

    A GIS-based simulation program to predict multi-species size-structure dynamics for natural forests in Hokkaido, northern Japan

    Ecological Informatics

    (2008)
  • O.R. Masera et al.

    Modeling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach

    Ecological Modelling

    (2003)
  • I. Lewandowski et al.

    The potential biomass for energy production in the Czech Republic

    Biomass and Bioenergy

    (2006)
  • S.C. Bhattacharya et al.

    An assessment of the potential for non-plantation biomass resources in selected Asian countries for 2010

    Biomass and Bioenergy

    (2005)
  • G. Fischer et al.

    Biomass potentials of miscanthus, willow and poplar: results and policy implications for Eastern Europe, Northern and Central Asia

    Biomass and Bioenergy

    (2005)
  • C.B. Field et al.

    Biomass energy: the scale of the potential resource

    Trends in Ecology and Evolution

    (2008)
  • M. Suri et al.

    A new GIS-based solar radiation model and its application to photovoltaic assessments

    Transactions in GIS

    (2004)
  • M. Biberacher et al.

    GIS based model to optimize possible self sustaining regions in the context of a renewable energy supply

  • Greenpeace/EREC European Renewable Energy Council

    Energy [r]evolution – a sustainable global energy outlook

    (2008)
  • M. Hoogwijk

    On the global and regional potential of renewable energy sources

    (2004)
  • M. Suri

    Solar resource data and tools for an assessment of photovoltaic systems

  • Cited by (343)

    View all citing articles on Scopus
    View full text