Increased Use Of Bioenergy Research Articles

Managing Forests for Biodiversity Conservation and Climate Change Mitigation.

We include biodiversity impacts in forest management decision making by incorporating the countryside species area relationship model into the partial equilibrium model GLOBIOM-Forest. We tested three forest management intensities (low, medium, and high) and limited biodiversity loss via an additional constraint on regional species loss. We analyzed two scenarios for climate change mitigation. RCP1.9, the higher mitigation scenario, has more biodiversity loss than the reference RCP7.0, suggesting a trade-off between climate change mitigation, with increased bioenergy use, and biodiversity conservation in forests. This trade-off can be alleviated with biodiversity-conscious forest management by (1) shifting biomass production destined to bioenergy from forests to energy crops, (2) increasing areas under unmanaged secondary forest, (3) reducing forest management intensity, and (4) reallocating biomass production between and within regions. With these mechanisms, it is possible to reduce potential global biodiversity loss by 10% with minor changes in economic outcomes. The global aggregated reduction in biodiversity impacts does not imply that biodiversity impacts are reduced in each ecoregion. We exemplify how to connect an ecologic and an economic model to identify trade-offs, challenges, and possibilities for improved decisions. We acknowledge the limitations of this approach, especially of measuring and projecting biodiversity loss.

Modelling national policy making to promote bioenergy in heat, transport and electricity to 2030 – Interactions, impacts and conflicts

Governments must increase bioenergy use to realise the Paris agreement ambition. Most countries have limited biomass resources and policy goals beyond carbon reduction. This can lead to policy incoherence. Previous studies tended to focus on one end-use sector or on optimising CO2 reduction. This study goes beyond optimisation approaches and investigates cross sector impacts of bioenergy policy proposals via simulation methods for policy proposals in Ireland. As an EU member with ambition for increased bioenergy use, Ireland is a useful case to examine trade-offs. Using the BioHEAT policy decision support tool (Durusut et al., 2018) we find policy in the heat and transport sector close the gap to Ireland's 2030 climate targets by 3%. Policy supporting co-firing of biomass with fossil-fuel to produce electricity increases emissions by 8.3 MtCO2 overall and reduces the policy impact on national climate targets by 63%. Co-firing uses more of the available biomass resources and this limits renewable uptake in the heat sector. Coal conversions and the use of advanced biofuels are found to rely on high availability of imports. Policy supporting biomass use in the power sector may make national climate targets less achievable for EU countries.

Climate extremes, land-climate feedbacks and land-use forcing at 1.5°C.

This article investigates projected changes in temperature and water cycle extremes at 1.5°C of global warming, and highlights the role of land processes and land-use changes (LUCs) for these projections. We provide new comparisons of changes in climate at 1.5°C versus 2°C based on empirical sampling analyses of transient simulations versus simulations from the ‘Half a degree Additional warming, Prognosis and Projected Impacts’ (HAPPI) multi-model experiment. The two approaches yield similar overall results regarding changes in climate extremes on land, and reveal a substantial difference in the occurrence of regional extremes at 1.5°C versus 2°C. Land processes mediated through soil moisture feedbacks and land-use forcing play a major role for projected changes in extremes at 1.5°C in most mid-latitude regions, including densely populated areas in North America, Europe and Asia. This has important implications for low-emissions scenarios derived from integrated assessment models (IAMs), which include major LUCs in ambitious mitigation pathways (e.g. associated with increased bioenergy use), but are also shown to differ in the simulated LUC patterns. Biogeophysical effects from LUCs are not considered in the development of IAM scenarios, but play an important role for projected regional changes in climate extremes, and are thus of high relevance for sustainable development pathways.This article is part of the theme issue ‘The Paris Agreement: understanding the physical and social challenges for a warming world of 1.5°C above pre-industrial levels'.

Is enhanced biodiversity protection conflicting with ambitious bioenergy targets in eastern Finland?

The study describes how qualitative stakeholder feedback can be used in quantitative scenarios to simulate forest resource use under alternative management objectives. In earlier studies in the region of eastern Finland, stakeholders did not see a possible conflict between increased bioenergy use and nature conservation; this finding is contrary to the results of other studies. The aim of this study was to test with a quantitative modelling approach whether the stakeholder expectation holds and whether forest management in eastern Finland can simultaneously increase biomass utilization and biodiversity protection. Prior to this study, three alternative scenarios on forest resource use were created in a participatory stakeholder process, involving a broad range of stakeholders, with half of them being from research and education. In the current study, a large-scale forest resource planning model (MELA) and a sustainability impact assessment tool (ToSIA) were used to simulate the different alternative scenarios and present the results back to the stakeholders in order to evaluate them. The scenarios were evaluated by stakeholders using multi-criteria analysis. In a survey, the stakeholders indicated that biodiversity, employment, recreational value and greenhouse gas emissions were the most important indicators to them, whereas growing stock, amount of harvested roundwood, energy wood and protected forest area were considered less important. Of the created scenarios, the scenario combining bioenergy and biodiversity targets was the most preferred by the stakeholders as it performed well on those indicators that were identified by stakeholders as the most important. In this scenario, the area of protected forest and bioenergy production were increased simultaneously. With this study we offer a framework for evaluating different alternatives for future land use. The framework helps to identify key issues that are important to the stakeholders so that they can be taken into consideration in future land-use planning. In addition, the results confirm the stakeholder expectation that by protecting more forests while simultaneously increasing the mobilization of potentially available wood resources, both targets can be met without compromising too much other forest functions such as timber production and recreation.

A MULTI-MODEL ANALYSIS OF THE REGIONAL AND SECTORAL ROLES OF BIOENERGY IN NEAR- AND LONG-TERM CO2 EMISSIONS REDUCTION

This paper examines the near- and the long-term contribution of regional and sectoral bioenergy use in response to both regionally diverse near-term policies and longer-term global climate change mitigation policies. The use of several models provides a source of heterogeneity in terms of incorporating uncertain assumptions about future socioeconomics and technology, as well as different paradigms for how different regions and major economies of the world may respond to climate policies. The results highlight the heterogeneity and versatility of bioenergy itself, with different types of resources and applications in several energy sectors. In large part due to this versatility, the contribution of bioenergy to climate mitigation is a robust response across all models. Regional differences in bioenergy consumption, however, highlight the importance of assumptions about trade in bioenergy feedstocks and the influence of energy and climate policies. When global trade in bioenergy is possible, regional patterns of bioenergy use follow global patterns. When trade is assumed not to be feasible, regions with high bioenergy supply potential tend to consume more bioenergy than other regions. Energy and climate policies, such as renewable energy targets, can incentivize bioenergy use, but specifics of the policies will dictate the degree to which this is true. For example, renewable final energy targets, which include electric and non-electric renewable sources, increase bioenergy use in all models, while electric-only renewable targets have a mixed effect on bioenergy use across models.

Effects and costs of policies to increase bioenergy use and reduce GHG emissions from heating in Norway

In many European countries, the use of policy measures to decrease greenhouse gas (GHG) emissions from energy consumption, including heating, is high on the political agenda. Also, increasing the absolute consumption of bioenergy seems to partly be an objective in itself. But neither the costs of replacing fossil fuels with bioenergy in heating, nor the effects on the GHG emission account are clear. This study analyses first the avoided GHG emissions from substituting one energy unit of fossil fuel with forest based bioenergy (wood fuel) in several heating technologies. Secondly, the effects on bioenergy production of two policy measures in Norway - higher tax on domestic heating oil and paraffin and investment grants to district heating installations based on wood fuels - are investigated. Thereafter, the results are combined to display how the emissions from heating are affected. Finally, the achievements are compared to the costs. The analysis is done by using a partial, spatial equilibrium model of the Norwegian forest sector, wood fuels included. Based on model runs we conclude that a tax of 60 €/CO 2eq on competing fossil fuels could increase the bioenergy use in district heating installations with almost 4000 GWh/year. The same amount of bioenergy could be used in pellet stoves and central heating systems, but a higher tax is then necessary. 50% investment grant to district heating installations may also have a large effect on the bioenergy use, but the effect of the subsidies decreases rapidly if applied together with a tax. Around 70% of the emissions from heating in Norway may potentially be avoided, but such achievements depend on very high taxes on fossil fuels. Both taxes and subsidies may greatly influence the energy market, but should be used with caution in order to obtain the preferred goals. Few similar studies are carried out in this field, and the results might be of interest for the bioenergy industry and the energy policy authorities.

Co-firing biomass with coal for electricity generation—An assessment of the potential in EU27

The European Union aims to increase bioenergy use. Co-firing biomass with coal represents an attractive near-term option for electricity generation from renewable energy sources (RES-E). This study assesses the near-term technical potential for biomass co-firing with coal in the existing coal-fired power plant infrastructure in the EU27 Member States. The total technical potential for RES-E from biomass co-firing amounts to approximately 50–90 TWh/yr, which requires a biomass supply of approximately 500–900 PJ/yr. The estimated co-firing potential in EU27 amounts to 20–35% of the estimated gap between current RES-E production and the RES-E target for 2010. However, for some member states the national co-firing potential is large enough to fill the national gap. The national biomass supply potential is considerably larger than the estimated biomass demand for co-firing for all member states. About 45% of the estimated biomass demand for co-firing comes from plants located close to the sea or near main navigable rivers and indicates the possibility for biomass import by sea transport. Thus, biomass co-firing has the potential to contribute substantially to the RES-E development in EU27.

Potential Environmental Benefits from Increased Use of Bioenergy in China

Because of its large population and rapidly growing economy, China is confronting a serious energy shortage and daunting environmental problems. An increased use of fuels derived from biomass could relieve some demand for nonrenewable sources of energy while providing environmental benefits in terms of cleaner air and reduced emissions of greenhouse gases. In 2003, China generated about 25.9 x 10(8) metric tons of industrial waste (liquid + solid), 14.7 x 10(8) metric tons/year (t/y) of manure (livestock + human), 7.1 x 10(8) t/y of crop residues and food-processing byproducts, 2 x 10(8) t/y of fuelwood and wood manufacturing residues, and 1.5 x 10(8) t/y of municipal waste. Biofuels derived from these materials could potentially displace the use of about 4.12 x 10(8) t/y of coal and 3.75 x 10(6) t/y of petroleum. An increased bioenergy use of this magnitude would help to reduce the emissions of key air pollutants: SO(2 )by 11.6 x 10(6) t/y, NO(X) by 1.48 x 10(6) t/y, CO2 by 1.07 x 10(9) t/y, and CH4 by 50 x 10(6) t/y. The reduced SO(2) emissions would be equivalent to 54% of the national emissions in 2003, whereas those for CO2 are 30%. It is important to recognize, however, that large increases in the use of biomass fuels also could result in socioeconomic and environmental problems such as less production of food and damage caused to natural habitats.

Planning for increased bioenergy use—Evaluating the impact on local air quality

The Swedish energy system is undergoing a transformation due to threats about climate change and political decisions to reduce green house gases and to phase out the nuclear power. The goal is to convert the energy system from a system based on fossil fuels and nuclear power to one based on renewable energy sources. Bioenergy is an available domestic, renewable, carbon dioxide neutral energy source and therefore an increase of the use is forecasted in the future. Studies have shown that bioenergy may cause negative impacts on human health and on the environment due to emissions to air. The aim of this study was to investigate how a future conversion to bioenergy-based heating affect the air quality in residential areas. The contribution of particulate matter (PM10) and benzene from existing heating systems as well as from conversion from electrical heating and firewood boilers to pellets and small-scale district heating systems was investigated. The investigations included monitoring of energy need for heating, identifying suitable energy systems for conversion, identifying emission factors, dispersion calculations and application of the results in a geographical information system (GIS). The results show that conversion from electrical heating to pellets in the investigated areas does not affect the air quality. The GIS maps showed the expected concentrations caused by small-scale combustion of bioenergy-based fuels clearly. The dispersion pattern of the emitted gases and particulates was visualized and the maps can be used for planning purposes when dealing with new residential areas.