Keywords

Introduction

The adaptation and mitigation of climate change and energy security requires alternative energy sources that reduce emission of greenhouse gasses (GHG) in the place of fossil fuel dominant economy of the world (Krajnc et al. 2014). Liquid biofuel production from biomass pyrolysis is new form of the old technology that reduces waste and improves the low bulk density, high moisture content, hydrophilic nature, and low calorific value of firewood (Arias et al. 2008). Pyrolysis is a thermochemical process of converting biomass in to solid bio-char, liquid bio-oil (also called pyrolysis oil), and syngas in the absence of oxygen at 300–1000 °C, heating rate 0.1–1000 °C s–1, and vapor residence time 0.5–1800 s (Granada et al. 2013). Pyrolysis of dry biomass (C6H10O5) produces combustible gases (H2, CH4, CO) and noncombustible gases (CO2 and H2O) resulting in condensable gases forming bio-oil (C6H8O with H2O) (Cordeiro 2011). High heating rates above 500 °C and short vapor residence time gives more pyrolysis oil; and low temperature below 400 °C produces more bio-char (Xiu and Shahbazi 2012).

Feedstocks for pyrolysis can be a variety of woody and non-woody biomasses, forest products, solid organic wastes, forest/agricultural residues, paper and cardboard except toxic biomasses that have heavy metals, polyaromatic hydrocarbons, and dioxins (Garcia-Perez 2008).

The calorific value of bio-oil can be chemically upgraded to 44 MJ kg–1 (Elliot 2012). Firewood combustion pollutes indoor air and affects health but bio-oil has no significant health, environment, or safety risks and its GHG emission is lower than petro diesel and gasoline (Shimelis 2011).

Bio-char and charcoal are similar products of pyrolysis technology that are used for different purpose. Bio-char is charcoal like, fine porous structured, positively charged, high carbon and low moisture containing co-product of bio-oil but charcoal is coarse structure as a sole product. Bio-char could be used for energy supply, soil carbon storage, and fertility amendment but charcoal is usually used for energy.

The pyrolysis of organic matter alters the chemical structure of carbon to aromatic carbon rings called recalcitrant carbon that resist microbial decomposition. Wood bio-char stores 25–50% of its carbon for millennia, 100–1000 years but organic residue compost stores 10–20% of its carbon from weeks to 5–10 years (Kannan et al. 2013).

Capturing the volatiles during pyrolysis to get bio-oil, in addition to bio-char and syngas instead of mere charcoal, is an increment of conversion efficiency of carbonization in traditional charcoal making (Brown 2009). Charcoal making emits primary GHG of the energy system, carbon monoxide, ethane, pyroacids, tars, heavy oils, and water (Bird et al. 2011). Firewood and charcoal have CO2 emission factors of 112,000 kg TJ–1 on net calorific value basis (IPCC 2006). About 1788±337 g CO2 and 32±5 g CH4 per kilogram of charcoal are produced, which varies with different vegetation parts and burning conditions (Chidumayo and Gumbo 2013). In charcoal making the three steps include wood sourcing, carbonization, and end use, and the emission is 29–61%, 28–61%, and 9–18%, respectively (FAO 2017).

Climate change adaptation to energy is the adjustment in natural or human systems in response to actual or expected energy deficit of climatic stimuli or their effects, which moderates harm or exploits beneficial energy production opportunities. Ethiopia in particular and Africa in general have low adaptation capability to climate change (IPCC 2006). The conversion of firewood and charcoal in to multiple products of bio-char, bio-oil, and syngas reduces consumption of biomass that reduces deforestation and increases income sources in order to adapt to climate change. In Ethiopia and elsewhere in Africa, adapting technology for alternative sources of bioenergy is one of the strategies of climate change adaptation (FAO 2017). Environmental sustainability could be achieved by local management of firewood saving and macro policy adjustment in order to promote the sustainability of land resources and climate change adaptation (Eze et al. 2020). Therefore, developing biomass saving technologies like pyrolysis is important for climate change adaptation and mitigation.

Pyrolysis oil during biomass carbonization can be produced over a wider range of temperature above 300 °C by screening a large number of biomass yielding trees (Xiu and Shahbazi 2012). According to Okoroigwe et al. (2015) tropical woody biomass produces up to 66% (w/w) bio-oil for energy and it contains industrially useful chemicals. Bio-oil production is an attractive venture with significant commercial application and value, and dry feed can produce up to 80% (w/w) bio-oil. However, there is dearth of information on condensing the volatile matters to bio-oil, especially at 600 °C and residence time of 2 s in Ethiopia for firewood species, except Catha edulis (Yishak 2014). In fact, it is studied that biomass residues at 600 °C has high recalcitrant character and low volatile nature (Jindo et al. 2014). One of the most important characteristics of biomass fuel is heating value which can be determined experimentally by adiabatic bomb calorimeter (Sheng and Azevedo 2005), which was not available for many of the firewood tree species in Ethiopia. The purpose of the present study was to inform tree selection in plantation development by the bio-oil and bio-char yield, and by their carbon storage potential in selected firewood utilizing rural households of Southern Ethiopia.

Material and Methods

Description of the Study Area

Biomass samples of fire wood species were collected in Southern Ethiopia, three agro-ecologies of Enemorina Ener district (county). From each agro-ecology a representative peasant association (PA) or Kebele (lowest administrative unit) was sampled. In lowland agro-ecology, 500–1600 m altitude above sea level (asl), Ener Kola PA; in midaltitude agro-ecology, 1600–2400 m altitude asl, Daemir PA; and in highland agro-ecology, 2400–3200 m asl, Awed PA were selected (Fig. 1). The local people had been practicing mixed farming, trading, and pottery work. The main fuel for cooking was firewood with or without kerosene light.

Fig. 1
figure 1

Location map of most samples collected areas. (The legend and scale refers only to the three studied peasant associations or Kebeles and nearby features)

Methods of Data Collection and Analyses

Field Sample Collection

Woody biomass samples were collected from the selected PAs after interviewing 5–10 key informants, and district energy offices about the preferred firewood tree species that ranked 1–5. The most preferred tree species were selected for pyrolysis test in each agro-ecology; seven species in lowland and midaltitude each and one species in highland. Additional samples from two species (Catha edulis and Prosopis juliflora) were obtained from other places (Table 1) because of their abundance and common firewood value for comparison purposes, making a total of 17 species. That is C. edulis is abundant throughout Ethiopia and P. juliflora is an invasive species used for charcoal making in North Eastern Ethiopia. The family, diameter at breast height (DBH), and total mean height (H) of the selected species are given in Table 1.

Table 1 Description of sampled tree species for firewood, bio-oil, and bio-char production

From the 15 tree species in the forest, three standing trees were randomly selected and cut from each. Then the wood without debarking was chipped in to 1–5 cm long pieces by excluding branches (≤5 cm diameter) and leaves. In C. edulis, leafy residues and in C. megalocarpus, fruit pod were collected. Then the 17 tree species biomass samples were air dried, separated from any impurities, ground, and sieved by 1 mm sieve size.

Experimental Analyses

Pure, composite, ground, dry biomass samples of 150 g were pyrolyzed in assembled setup of tubular furnace in three replications. The pyrolysis was done at 600 °C temperature, at a heating rate of 100 °C min–1 and 2 s vapor residence, using 1.5 atmosphere inert nitrogen gas with 20–25 mL min–1 flow rate. The setup consisted of feeder, reactor, glass liquid collecting condenser, and chiller (Fig. 2). Only bio-oil and bio-char were collected. The weight of bio-char and bio-oil was measured with balance (Adam Lab.equipment Leicester LE67FT-England, 0.001 g) and volume by graduated cylinder. The yield of bio-char and bio-oil was determined from the proportion of dried biomass feedstock pyrolyzed (Eq. 1) and loss by deduction (Eq. 2). The percentage throughout this chapter is given as (%) for percent weight to weight (%, w/w) or % (w/w) or %, unless otherwise specified as percent volume to volume as (%, v/v) or % (v/v).

Fig. 2
figure 2

Simplified system of pyrolysis, assembled setup of tubular furnace

Legend (not to scale):

1. N2 gas containing cylinder; 2. Valve; 3. Pressure gauge; 4. Tubular furnace; 5. Stainless steel tube (inserted into the furnace); 6. Glass condenser; 7. Condensate collector; 8. Chiller; 9. Hot water to chiller; 10. Cooling water (at 4 °C) to condenser

$$ \mathbf{Yield}\ \mathbf{of}\ \mathbf{biooil}\ \mathbf{or}\ \mathbf{biochar}\left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)=\left(\frac{\boldsymbol{W}\ \mathbf{of}\ \mathbf{biooil}\ \mathbf{or}\ \mathbf{biochar}\ \left(\boldsymbol{g}\right)\ }{\boldsymbol{W}\ \mathbf{of}\ \mathbf{pyrolysed}\ \mathbf{feedstock}\ \left(\boldsymbol{g}\right)}\right)\times \mathbf{100} $$
(1)
$$ \mathbf{Biochar}\left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)+\mathbf{Biooil}\ \left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)+\mathbf{NCG}\ \left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)=\mathbf{100}\ \left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right) $$
(2)

where W is weight; NCG is non-condensable gas by considering that all condensable gases were condensed.

The bio-oil was degummed in 3% (v/v) distilled water and centrifuged at 2000 rpm for 20 min. The moisture content was determined gravimetrically by taking 5 g bio-oil by heating at 105 °C in oven up to constant weight (Eq. 3).

$$ \mathbf{MC}\left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)=\left(\frac{\left(\boldsymbol{W}\ \mathbf{of}\ \mathbf{initial}\ \mathbf{sample}\ \left(\boldsymbol{g}\right)-\boldsymbol{W}\ \mathbf{of}\ \mathbf{sample}\ \mathbf{at}\ {\mathbf{105}}^{{}^{\circ}}\mathbf{C}\left(\boldsymbol{g}\right)\right)}{\boldsymbol{W}\ \mathbf{of}\ \mathbf{initial}\ \mathbf{sample}\ \left(\boldsymbol{g}\right)}\right)\times \mathbf{100} $$
(3)

where MC is moisture content; W is weight.

The bio-oil and parent firewood Gross Calorific Value (GCV) was determined by adiabatic oxygen bomb calorimeter (Parr® model no.1241EF adiabatic calorimeter S.no. 5172, 115 v, 50 Hz, 2.0 Amps, Parr Instrument Company). About 1 g sample and oxygen filled bomb at 30 atmospheres were used. GCV was converted to net calorific value (NCV) by multiplying with 0.95 and 0.80 for oil and dry woody biomass, respectively (Forest Products Laboratory 2004). Ash content of firewood and bio-oil was determined by burning 5 g sample in furnace at 600 °C for 4 h.

Bio-char samples were characterized using proximate analysis (ASTM 1989) to obtain fixed carbon, moisture content (D3173), ash content (D3174), and volatile matter (D3175). Moisture content of bio-char was determined by drying 1 g initial sample in oven at 105 °C to constant weight for 3 h (Eq. 3); volatile matter by heating 1 g moisture free sample at 950 °C for 6 min (Eq. 4); ash content by heating 1 g sample at 750 °C for 3 h (Eq. 5) and fixed carbon by deduction (Eq. 6).

$$ \mathbf{Vm}\left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)=\left(\frac{\boldsymbol{W}\ \mathbf{of}\ \mathbf{sample}\ \mathbf{at}\ {\mathbf{105}}^{{}^{\circ}}\mathbf{C}\ \left(\boldsymbol{g}\right)-\boldsymbol{W}\ \mathbf{of}\ \mathbf{sample}\ \mathbf{at}\ {\mathbf{950}}^{{}^{\circ}}\mathbf{C}\left(\boldsymbol{g}\right)}{\boldsymbol{W}\ \mathbf{of}\ \mathbf{initial}\ \mathbf{sample}\ \left(\boldsymbol{g}\right)}\right)\times \mathbf{100} $$
(4)
$$ \mathbf{Ash}\ \left(\boldsymbol{A}\right)\left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)=\left(\frac{\boldsymbol{W}\ \mathbf{of}\ \mathbf{sample}\ \mathbf{at}\ {\mathbf{750}}^{{}^{\circ}}\mathbf{C}\ \left(\boldsymbol{g}\right)}{\boldsymbol{W}\ \mathbf{of}\ \mathbf{initial}\ \mathbf{sample}\ \left(\boldsymbol{g}\right)}\right)\times \mathbf{100} $$
(5)
$$ \mathbf{Fixed}\ \mathbf{carbon}\ \mathbf{of}\ \mathbf{biochar}\left(\%,\frac{\mathbf{w}}{\mathbf{w}}\right)=\left(\mathbf{100}-\left(\mathbf{MC},\%+\mathbf{Vm},\%+\boldsymbol{A},\%\right)\right) $$
(6)

where MC is moisture content; W is weight; Vm is volatile matter; A is ash content

The common GHG (CO2, CH4, and N2O) emissions in rural wooden houses were determined based upon NCV (IPCC 2006) of bio-oil and firewood with or without kerosene. Although emission exists throughout the life cycles of these fuels, from planting, woody biomass harvesting to consumption, the present study’s concern of indoor pollution reduction dealt the emission only at the end use or consumption. The IPCC default emission factors were applied (Eqs. 7 and 8). The GHGs were converted to carbon dioxide equivalent (CO2−e) using the global warming potential (GWP) of each gas (Table 2).

Table 2 Emission factors and global warming potential of common GHGs from different fuels

The average end use emission of firewood and bio-oil combustion and bio-char soil carbon accumulation was determined. For comparison purpose, the daily consumption of firewood and kerosene at household level in each agro-ecology was obtained from Miftah et al. (2017). It was assumed that a household consumes the same amount of energy in using firewood alone, firewood with kerosene or bio-oil.

The carbon storage of bio-char was determined by its fixed carbon content (Eq. 9). Stable carbon fraction to be stored for over a century used 80% factor (Roberts et al. 2010). In the presence of modern pyrolysis reactor 75% bio-oil and 12% bio-char yield was assumed to be produced from woody biomass (Granada et al. 2013). The total energy of the fuels was determined by the dried weight of the fuel and their calorific value (ASTM 1989).

The emission from firewood combustion in conventional wood stove using IPCC (2006) was calculated as Eq. 7.

$$ \mathbf{Wd}\ \mathbf{em}=\sum \limits_{\boldsymbol{i}}^{\boldsymbol{k}}\mathbf{Wd}\ {\mathbf{cons}}_{\left(\boldsymbol{ijk}\right)}\times {\mathbf{EF}}_{\left(\boldsymbol{ijk}\right)}\ \ \times {\mathbf{GWP}}_{\left(\boldsymbol{ijk}\right)} $$
(7)

where Wd em is emission of GHG (kgCO2e−) from firewood combustion; Wd cons is firewood consumption in net calorific value (TJkg–1); EF is emission factor of firewood on net calorific value basis (kgTJ–1); and GWP is global warming potential of a given gas on 100 years; i is CO2; j is CH4, and k is N2O.

The emission from bio-oil combustion in stove using IPCC (2006) was calculated as Eq. 8.

$$ \mathbf{Bo}\ \mathbf{em}.=\sum \limits_{\boldsymbol{i}}^{\boldsymbol{k}}\mathbf{Bo}\ {\mathbf{cons}}_{\left(\boldsymbol{ijk}\right)}\times {\mathbf{EF}}_{\left(\boldsymbol{ijk}\right)}\ \ \times {\mathbf{GWP}}_{\left(\boldsymbol{ijk}\right)} $$
(8)

where Bo em is emission of GHG (kgCO2e−) from bio-oil combustion; Bo cons is bio-oil consumption in net calorific value (TJkg–1); EF is emission factor of bio-oil on net calorific value basis (kgTJ–1); and GWP is global warming potential of a given gas on 100 years basis; i is CO2; j is CH4 and k is N2O.

Carbon storage in bio-char of organic wastes was calculated as Eq. 9.

$$ \mathbf{Csb}\ \left(\boldsymbol{g}\right)=\left(\mathbf{dry}\ \mathbf{biomass}\ \left(\boldsymbol{g}\right)\right)\times \left(\mathbf{biochar}\ \mathbf{yield}\ \left(\%\right)\right)\times \left(\mathbf{fixed}\ \boldsymbol{C}\ \left(\%\right)\right) $$
(9)

where Csb is carbon storage in bio-char.

Results

Bio-oil and Bio-char Yield of Different Woody Biomasses Species

The bio-oil (Fig. 3) yield of woody biomass samples ranged from 23.03 (%, w/w) in A. schimperi to 42.9 (%, w/w) in E. globulus which was statistically different at p<0.05 (Table 3). The bio-oil yield of fruit pod of C. megalocarpus was about 21.1 (%, w/w), lower than the other woody biomasses; and the leaf of C. edulis was intermediate about 25.83 (%, w/w). Tree species like E. globulus, A. seyal, D. angustifolia, E. schimperi, and G. robusta produced greater amount of bio-oil (Table 3) and highly preferred for firewood (Table 3).

Fig. 3
figure 3

Bio-oil from pyrolysis of woody biomass

Table 3 Bio-oil and bio-char yield of different woody plant species

The bio-char (Fig. 4) yield of the biomass samples ranged from 23.2% (w/w) in E. camaldulensis to 36.4% (w/w) in C. edulis which was statistically different at p< 0.05 (Table 3). The mass losses of pyrolysis product ranged from 31.23% (w/w) in E. schimperi to 46.37% (w/w) in A. schimperi (Table 3), which could be attributed to the specific characteristics of the species.

Fig. 4
figure 4

Bio-char from pyrolysis of woody biomass

Calorific Value and Moisture Content of Bio-oil and Bio-char in Comparison with the Parent Firewood

The calorific value of firewood used for the pyrolysis process ranged from 16.31 MJkg–1 (in E. schimperi) to 19.66 MJkg–1 (in P. julifolra) at moisture content of 7.92–10.22 (%, w/w) (Fig. 5). Firewood from D. angustifolia, E. camaldulensis, G. robusta, A. decurrens, and E. globulus had calorific value above 18 MJ kg–1. C. edulis leafy residues had comparable calorific value with the other firewood species (Fig. 5), but not used as firewood (Table 3) because of its smoke. The calorific value of bio-oil ranged from 21.43 MJkg–1 (in A. albida) to 33.37 MJkg–1 (in E. globulus) (Fig. 5).

Fig. 5
figure 5

The mean calorific value of parent firewood, bio-char, and bio-oil of a given plant species

Fixed Carbon, Volatile Matter, and Moisture Content of Different Tree Species Bio-chars

The fixed carbon content of bio-chars of the different tree species ranged from 53.48 (%, w/w) (in A. schimperi) to 78.85 (%, w/w) (in C. lusitanica); and volatile matter from 14.52 (%, w/w) (in D. angustifolia) to 25.31 (%, w/w) (C. collinum) (Fig. 6).

Fig. 6
figure 6

Mean fixed carbon, volatile, and moisture content of bio-char

Ash Content of Firewood Feedstock, and Bio-oil and Bio-char

The percentage of the ash content of the different tree species firewood and bio-oil was not consistently increasing or decreasing (Table 4). The ash in bio-char ranged from 2.27(%, w/w) in C. lusitanica to 20.65 (%, w/w) in A. schimperi. In firewood the ash content ranged from 0.434 (%, w/w) in E. camaldulensis to 8.418 (%, w/w) in E. schimperi. The lowest proportion of ash was obtained in bio-oil, ranging from 0.135% in G. robusta to 0.892% in C. equisetifolia. As the ash content of the firewood increases the ash content of the bio-char also increased (Table 4).

Table 4 The mean ash content of firewood, bio-oil, and bio-char of different tree species

The Potential of Pyrolysis Oil and Bio-char in Reducing Firewood End Use Emission

Rural households were using firewood and kerosene as energy sources. In the presence of kerosene, the amount of firewood biomass used was reduced, but both biomass and kerosene together during consumption emitted annually about 2.323–4.509 t CO2e in each household. The end use emission from fire wood combustion was 2.335–4.527 t CO2e year–1 (Fig. 7), which could be reduced to 1.88–3.645 t CO2e year–1 in bio-oil heating in each household of the studied PAs. Moreover, bio-oil production has corresponding bio-char that can store carbon 1.214–4.363 t CO2e year–1 (Fig. 7) that makes the net emission of 0.67 to net storage of 0.72 t CO2e year–1. The pyrolysis in the present study that produced bio-oil yield of 21–42.87(%, w/w) as alternative energy for a household cooking and bio-char for carbon storage reduced end use emission by 71.48–118.06% in each household of the PAs when compared with the emission by firewood (Fig. 7). In using bio-char that produced 23.23–36.4%, w/w (Table 3) from a household firewood for soil amelioration can store 0.27–0.95 t C year–1 for over a century (Fig. 8).

Fig. 7
figure 7

Emission and carbon storage of fuels at household level with similar gross heating value. (Note: Negative x-axis indicates the CO2e stored in bio-char; positive X-axis indicates the CO2e emission)

Fig. 8
figure 8

Stable carbon storage in bio-char in converting firewood to bio-oil

Discussion

The use of pyrolysis technology to reduce the wastage of biomass and diversify products like biochar, bio-oil, and syngas increases adaptation and mitigation to climate change (Shackley et al. 2012). Greater bio-oil yield was obtained from locally preferred firewood species that also had less bio-char and less parent material ash (Tables 3 and 4). E. globulus was the highest bio-oil yielder (43%, w/w) and locally preferred for firewood (Table 3). This was confirmed by other studies, as the amount of bio-oil yield of pyrolysis of E. globulus and pine wood was 75 (%, w/w) at 500 °C, at a rate of 1000 °C s–1 and 1 s vapor residence time (Granada et al. 2013). Maximum bio-oil yield of about 70–80% on dry basis of woody biomass pyrolysis was obtained at 480–530 °C from previous other studies. The temperature limit of 600 °C used in the present study was in line with other studies for lignocellulosic biomass (Amutio et al. 2012). The overall yield of bio-oil was similar with other studies of different species; however, different tree species could require different levels of temperature, rate of heat, and vapor residence time (Okoroigwe et al. 2015), which require further study for each species.

Bio-oil and bio-char production of woody biomass depends on the structural components, cellulose, hemicellulose, and lignin. According to Akhtar and Amin (2011), higher content of cellulose and hemicelluloses favors formation of bio-oil; and higher lignin content favors formation of bio-char. E. globulus that produced the highest bio-oil (Table 3) contained 50% (w/w) cellulose (Dmitry and Neto 2007), than G. robusta, 46.38% (w/w) (Madan and Roymoulik 1990). However, the cellulose content of C. edulis in Yishak (2014) was 59% but had low bio-oil amount (25.83%, w/w) in the present study and requires further study. The ash content of bio-oil of the woody biomasses was lower than other studies (Table 4), which could be because of the lower ash content of the parent firewood (Table 4). The highest bio-char obtained from leaf residue of C. edulis (Table 3) could be attributed to the highest extractive and lignin content, about 31.5% (Yishak 2014). G. robusta was a recently introduced species when compared with a century old E. globulus and E. camaldulensis in the study area. Most of the fuel characteristics of G. robusta bio-oil were comparable to E. globulus, and therefore, it can be used as firewood plantation tree species in the area.

The calorific value of the bio-oil in the present study was relatively higher than other studies (Oduor and Githiomi 2013) (Fig. 5), which might be because of centrifuging the bio-oil with distilled water and subsequent dehydration. Better calorific value was obtained from the bio-oil than the parent firewood. Depending on the level of technology, the same wood from a tree species can be used in three different forms of biomass fuels including firewood, bio-oil (bio-char), or charcoal. The processing from firewood to bio-oil diversifies income source. The production processes of bio-char and charcoal have similar pyrolysis technique with similar calorific value, about 28–30 MJ kg–1 (Namaalwa et al. 2007). Therefore, in order to reduce the deforestation rate, conversion to bio-oil and bio-char increases the efficiency of biomass use and improves the adaptation to climate change.

In the bio-char, the amount of fixed carbon and volatile matter at moisture content 1.3–7.74 (%, w/w) (Fig. 6) were comparable to other studies. Volatile matter of less than 20% and bio-char fixed carbon content over 50% from all of the 17 species (Fig. 6) obtained in the present study indicated the absence of labile carbon and their potential of long time carbon storage (Awad et al. 2012).

Since GHG emissions from bio-oil and firewood are taken up by the re-growing trees, there is no net emission except end use emission as indoor pollutant smoke. The end use emission as indoor pollution of bio-oil is lower than the firewood combustion because in bio-oil non-condensable gases are removed in manufacturing areas. Therefore, the use of bio-oil is safer than the direct use of firewood because of the reduction of smoke (Demirbas 2004).

The carbon storage in bio-char is a synergy to afforestation and to reduce climate change (Lehmann et al. 2006). The bio-oil and bio-char production technology could also use cheap sources of feedstock like organic wastes to reduce pressure on forests, to dispose waste and retard emission. Moreover, the reduction in forest biomass utilization improves water resources availability, secures clean air to breathe, and generates income by selling the forest products so that climate change adaptation could be improved.

Conclusion and Recommendation

The pyrolysis of woody biomasses of different tree species produced different quantity and quality of bio-oil and bio-char yield. Since the bio-oil and bio-char yield of A. seyal, D. angustifolia, E. schimperi, E. globulus, C. equisetifolia, and G. robusta was over 62% (w/w) of the parent firewood biomass used in pyrolysis, these can be selected for plantation development and climate change adaptation. Centrifuging pyrolysis oil with distilled water and subsequent dehydration resulted in increased calorific value to 33 MJ kg–1 in E. globulus. The production and simultaneous use of bio-oil yield (21.1–42.87%, w/w) and bio-char yield (23.233–36.40%, w/w) for household cooking energy and for carbon storage, respectively, instead of firewood reduced end use emission by 71.48–118.06% in each household of lowland to highland PA of the studied area, which could increase adaptation to climate change by reducing the cost of indoor pollution. Therefore, pyrolysis of biomass generally reduces wood wastage, creates jobs, and provides organic carbon as adaptation to climate change. In order to reduce transport cost of low density and high volume biomass, and to reduce the number of transportation vehicles, it is important to establish small-scale biomass pyrolysis firm in electrified parts of Ethiopia that produce bio-oil and bio-char from woody and non-woody organic wastes to diversify income and to increase the adaptive capacity of the rural people to climate change. Moreover, carbon storage potential of bio-char can be used to improve soil fertility in rural areas as a means of climate change adaptation and mitigation. The tree/shrub species used for making charcoal in Ethiopia are mainly slow growing indigenous species existing in natural forest, and there should be a guiding policy to plant tree species like A. seyal, D. angustifolia, E. schimperi, E. globulus, C. equisetifolia, and G. robusta for charcoal making and to strengthen climate change adaptation.