Literature DB >> 29511715

Data supporting the assessment of biomass based electricity and reduced GHG emissions in Cuba.

Alexis Sagastume Gutiérrez1, Juan J Cabello Eras1,2, Carlo Vandecasteele3, Luc Hens4.   

Abstract

Assessing the biomass based electricity potential of developing nations like Cuba can help to reduce the fossil fuels dependency and the greenhouse gas emissions. The data included in this study present the evolution of electricity production and greenhouse gas emissions in Cuba. Additionally, the potentialities to produce biomass based electricity by using the most significant biomass sources in Cuba are estimated. Furthermore, estimations of the potential reductions of greenhouse gas emissions, resulting from implementing the biomass based electricity potential of the different sources discussed in the study, are included. Results point to the most promising biomass sources for electricity generation and their potential to reduce GHG emissions.

Entities:  

Year:  2018        PMID: 29511715      PMCID: PMC5832642          DOI: 10.1016/j.dib.2018.01.071

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table

Value of the data

This data contains key information for the biomass production and the GHG emissions in Cuba. This data can be used to estimate the biomass based electricity potential of Cuba. This data can be used to estimate the reduction of GHG emissions that could result from implementing the different biomass based electricity potentialities existing in Cuba. This data permits to focus on the largest biomass sources for energy production in Cuba.

Data

The data presented in the article is related to the research article: The current potential of low-carbon economy and biomass-based electricity in Cuba. The case of sugarcane, energy cane and marabu (dichrostachys cinerea) as biomass sources [1]. The data corresponds to the evolution of the electricity production and of the GHG emissions in Cuba, and includes the biomass potential of the largest sources and the estimation of the associated biomass based electricity generation and greenhouse gas (GHG) emissions potential. The data of the evolution of the electricity production and of the GHG emissions was collected from the National Statistics Office of Cuba, when needed complemented with information from literature and databases. The estimations of the potentialities of biomass based electricity production and GHG emissions reduction in Cuba are calculated to highlight the main features.

Materials and methods

Based on the available biomass sources (between 2011 and 2016) estimations of the biomass based electricity potential and the possibilities to reduce GHG are developed. The biomass based electricity potential was calculated as:where: E – Electricity potential (kWh/t) – Electricity efficiency of the generation technology (understand as the % of the LHVW.B. transformed into electricity) An electricity production efficiency of 28% was considered for biomass incineration [1,3]. Moreover, to assess the potentialities of pig manure, where the use of the biogas resulting from manure rather than directly incinerating manure (because of its high moisture content) is considered, an electricity production efficiency of 35% was used [2]. The factors used to estimate the biomass resulting from the production of different crops and livestock in Cuba are included in Table 1. For the estimations of dichrostachys cinerea (kwon as marabu, is a non-indigenous bush tree that is widely available and considered a fast spreading plague, occupying between 1.5 and 2 million ha) it is considered that between 2011 and 2016 its area increased from 1.5 to 2 million ha (at a rate of 100,000 ha/year). Marabu yields 37 t/ha with a re-grow period of three years [3]. Based on re-grow period, the yearly marabu based electricity potential is estimated as 33.3% of the overall potential of the marabu stock.
Table 1

Biomass production factors.

BiomassSugarcane (t)Paddy rice (t)Poultry (head)Pig (head)Pig manure (t)Ref.
Filter cake (kg)33[5]
Rice husk (t)0.22[6]
Drying wastes (t)0.04[6]
Poultry manure kg)0.12[7]
Pig manure (kg)794.7[8]
Biogas (m3)14[9]
Biomass production factors. To assess the potential reductions of the GHG emissions, it is considered that the GHG emissions of producing the different crops and livestock are allocated to the production of the product (e.g. rice, maize grain, meat, eggs, sugar, etc.). This is not entirely true since biomass is not carbon neutral. However, it serves as a first approximation. Thus, it is considered that biomass based electricity can save 100% of the GHG emissions resulting from generating the same amount of fossil based electricity. In Cuba, the greenhouse gas emission factor for electricity generation is 0.879 tCO2eq./MWh [4] (Figs. 1 and 2, Table 2, Table 3, Table 4, Table 5, Table 6, Table 7, Table 8, Table 9).
Fig. 1

Biomass based electricity potential of the biomass sources vs electricity generation in Cuba (2016).

Fig. 2

Potential of GHG emission reductions of the biomass sources vs GHG emissions in Cuba (2012).

Table 2

Evolution of power generation and GHG emissions in Cuba.

YearPower (MW)Electricity (GWh)FBE (GWh)SBE (GWh)HP (GWh)GHG.W (ktCO2eq.)YearPower (MW)Electricity (GWh)FBE (GWh)SBE (GWh)HP (GWh)ESPE (GWh)GHG.C (ktCO2eq.)GHG.W (ktCO2eq.)
1959475.62348.41956.4392.05.919883841.314,542.313,225.01317.372.80.035,636
1960472.62492.72105.7387.013.013,70019893998.915,239.813,959.71280.182.00.035,739
1961509.12521.92086.9435.08.512,18219904077.915,024.713,575.61449.190.90.015,02533,344
1962534.12552.52257.5295.08.614,16919914033.313,247.211,982.81264.4104.70.029,710
1963532.12597.02345.0252.049.813,04019924032.211,538.010,200.81337.280.50.022,93431,294
1964566.12811.42494.6316.8100.514,29419934031.711,004.210,117.0887.282.40.029,380
1965564.12954.52954.556.714,60919944059.611,964.011,067.1896.948.50.023,19232,248
1966658.63157.43157.4131.415,18519953991.112,459.011,769.3689.774.40.025,709
1967758.63453.63453.6109.215,75019964311.913,236.512,314.4922.195.20.027,28426,996
1968861.53615.43615.480.716,03619974223.914,145.613,275.9869.7130.00.024,650
1969913.53782.33782.3102.917,26119984348.314,148.613,369.5779.196.70.028,88624,499
1970908.04888.54008.0880.590.718,67219994284.314,492.213,611.3880.9103.30.025,332
1971985.05020.54203.5817.0110.219,60720004286.515,032.214,088.0944.289.00.027,55826,083
19721466.25269.04624.0645.074.020,79920014410.915,299.814,369.5930.375.00.025,453
19731531.85707.94989.0718.962.022,39820023959.615,698.814,760.3938.5106.40.325,78626,091
19741644.66019.65283.4736.289.422,91120033965.015,810.515,090.4720.1127.70.425,486
19751677.36588.95831.8756.262.527,06620043763.515,633.714,845.1788.687.60.425,26625,005
19761704.67195.96422.6773.353.227,22420054275.115,341.114,921.6419.567.70.126,006
19771858.07705.06868.9836.172.829,40220065176.016,468.516,062.4406.193.50.328,82927,407
19782288.38482.77527.0955.783.230,68920075429.417,622.517,209.7412.8121.40.226,795
19792560.79403.18445.0958.1104.331,71220085396.417,661.817,127.6553.7138.38.232,21630,443
19802731.49989.69035.4954.297.131,40120095550.017,727.117,037.9534.8150.83.629,897
19812751.810,575.59600.1975.459.832,75020105852.617,395.516,832.3446.296.611.730,37838,375
19822974.511,071.410,025.91045.542.734,55420115913.917,754.117,186.6453.899.219.835,988
19832999.911,551.410,466.61084.862.730,84320125699.118,427.917,744.3551.0110.921.730,17336,157
19843111.212,292.011,167.31124.770.432,60320136054.819,139.618,306.9696.6127.325.634,800
19853249.012,199.411,068.01131.454.332,57820146168.619,366.118,588.3636.5104.137.234,837
19863419.213,176.411,991.71184.759.333,56820156280.020,288.019,585.3702.748.350.1
19873532.013,594.012,388.81204.743.933,95320166453.920,458.619,648.0686.364.2

* FBE – Fossil based electricity, SBE – Sugarcane based electricity, HE – Hydroelectricity, ESPE – Eolic + Solar photovoltaic, GHG.C – Net GHG emissions reported by the Cuban government, GHG.W – Net GHG emissions reported by the World Bank.

Table 3

Evolution of sugarcane production and its use of agricultural land in Cuba.

YearHarvested surface (ha)Yield (t)Production (t)Bagasse (t)YearHarvested surface (ha)Yield (t)Production (t)Bagasse (t)
19591,070,00041.944,800,00012,960,00019881,297,30056.876,714,08021,819,600
19601,160,00040.947,500,00012,203,30019891,350,60060.085,218,00023,022,700
19611,260,00043.154,300,00014,002,70019901,420,30057.683,646,72023,261,900
19621,130,00032.536,700,0009,724,60019911,452,20054.979,698,33019,473,800
19631,070,00029.331,400,0008,386,10019921,451,70045.655,253,52010,093,300
19641,000,00037.237,200,0009,880,20019931,211,70036.044,960,40012,921,200
19651,060,00047.850,700,00013,344,10019941,248,90034.640,738,04012,902,700
1966980,00037.036,800,0009,874,90019951,177,40028.535,468,25010,208,100
19671,040,00035.050,500,00013,950,30019961,244,50033.241,377,16012,423,200
19681,010,00042.442,800,00011,869,00019971,246,30031.232,713,20011,859,500
1969940,00044.441,700,00011,551,40019981,048,50031.331,168,54010,070,300
19701,460,00055.881,500,00023,274,1001999995,80034.135,494,69010,673,300
19711,250,00041.752,200,00015,836,70020001,040,90035.635,852,76011,038,700
19721,180,00037.544,300,00013,369,10020011,007,10031.432,693,68011,599,000
19731,070,00045.048,200,00014,254,00020021,041,20033.321,438,5408,952,000
19741,100,00045.850,400,00014,779,2002003643,80034.322,672,3007,100,700
19751,180,00044.452,400,00015,153,3002004661,00036.018,619,2006,950,500
19761,220,00044.153,800,00015,275,8002005517,20022.48,895,0404,787,300
19771,140,00053.060,400,00016,073,2002006397,10028.09,226,0003,605,800
19781,240,00056.169,600,00018,678,8002007329,50036.113,728,8303,415,100
19791,310,00059.077,300,00019,585,1002008380,30041.317,953,1103,863,300
19801,390,00046.064,000,00017,108,0002009434,70034.314,797,0203,719,000
19811,210,00055.066,600,00019,147,0002010431,40026.713,512,8703,027,300
19821,330,00055.073,100,00019,075,0002011506,10031.211,272,5603,949,600
19831,200,00058.167,400,00019,149,0002012361,30039.915,971,9703,959,900
19841,350,00057.377,400,00019,635,0002013400,30040.316,329,5603,637,100
19851,347,80050.067,400,00018,315,0002014405,20044.1019,300,0004,604,200
19861,328,60051.670,088,28019,584,0002015435,60044.3019,297,0804,942,000
19871,358,30052.167,589,33019,969,000201615,806,6673,793,600
Table 4

Biomass properties and electric potential.

BiomassMoisture (%)HHVd(MJ/kg)LHVw(MJ/kg)Electricity potential (kWh/t)Ref.
Bagasse50.0%17.307.43577.6[3]
Filter cake40.0%14.507.72600.5[3]
Marabu19.0%20.7016.301267.9[3]
Rice husk9.0%16.5014.791150.7[14]
Maize6.1%15.681219.6[15]
Poultry manure39.7%8.54664.2[15]
Pig manure92.1%− 1.240[15]
Biogas from pig manure1851.7[9]
Municipal solid waste44.0%7.15556[16]
Table 5

Production of the main crops, livestock and municipal solid wastes in Cuba: 2011–2016.

YearSugarcane (t)Maize (t)Paddy rice (t)Poultry (heads)Pig (heads)Municipal solid waste (m3)
201111,272,560304,8003,256,10033,663,3003,256,10023,390,400
201215,971,970324,4633,036,10030,182,0003,036,10027,817,400
201316,329,560354,0003,366,70032,415,5003,366,70026,521,000
201419,300,000360,4003,379,60032,285,8003,379,60027,221,300
201519,297,080426,2003,492,80031,963,9003,492,80028,007,800
201615,806,667427,2953,600,80031,336,2003,600,80028,796,400
Table 6

Estimation of the biomass production from the more significant sources in Cuba: 2011–2016.

YearBagasse (t)Filter cake (t)Rice husk (t)aStover (t)Poultry manure (t)Pig manure (t)Municipal solid waste (t)bTotal (t)
20113,949,600371,994147,264304,8004,039,5962,587,6233,508,56014,909,437
20123,959,900527,075166,816324,4633,621,8402,412,7894,172,61015,185,493
20133,637,100538,875174,876354,0003,889,8602,675,5163,978,15015,248,378
20144,604,200636,900152,048360,4003,874,2962,685,7684,083,19516,396,807
20154,942,000636,804108,690426,2003,835,6682,775,7284,201,17016,926,259
20163,793,600521,620133,652427,2953,760,3442,861,5564,319,46015,817,526

Includes rice husk and drying wastes.

A density of 150 kg/m3 is considered for Municipal Solid Waste.

Table 7

Estimation of the marabu (dichrostachys cinerea) biomass stock in Cuba: 2011–2016.

YearSurface (ha)Biomass (t)
20111,500,00055,500,000
20121,600,00059,200,000
20131,700,00062,900,000
20141,800,00066,600,000
20151,900,00070,300,000
20162,000,00074,000,000
Table 8

Calculation of biomass based electricity potential in Cuba: 2011–2016.

YearSugarcane (GWh)Rice husk (GWh)Stover (GWh)Poultry manure (GWh)Pig manure (GWh)Municipal solid waste (GWh)Marabu (GWh)Total (GWh)
201115781693722683134195170,37177,336
201222361923962406125232075,06282,848
201322862014322584138221279,75387,720
201427021754402573139227184,44592,878
201527021255202548144233689,13697,644
201622131545212498148240293,827101,873
Table 9

Calculation of the biomass based GHG reduction potential in Cuba: 2011–2016.

YearSugarcane (ktCO2.eq)Rice husk (ktCO2.eq)Stover (ktCO2.eq)Poultry manure (ktCO2.eq)Pig manure (ktCO2.eq)Municipal solid waste (ktCO2.eq)Marabu (ktCO2.eq)Total (ktCO2.eq)
201113871122452359118171561,85667,860
201219661262612115110204065,97972,694
201320101332852271122194570,10376,967
201423751152902262122199674,22781,505
20152375823432239126205478,35185,687
201619451013432195130211182,47489,398
Biomass based electricity potential of the biomass sources vs electricity generation in Cuba (2016). Potential of GHG emission reductions of the biomass sources vs GHG emissions in Cuba (2012). Evolution of power generation and GHG emissions in Cuba. * FBE – Fossil based electricity, SBE – Sugarcane based electricity, HE – Hydroelectricity, ESPE – Eolic + Solar photovoltaic, GHG.C – Net GHG emissions reported by the Cuban government, GHG.W – Net GHG emissions reported by the World Bank. Evolution of sugarcane production and its use of agricultural land in Cuba. Biomass properties and electric potential. Production of the main crops, livestock and municipal solid wastes in Cuba: 2011–2016. Estimation of the biomass production from the more significant sources in Cuba: 2011–2016. Includes rice husk and drying wastes. A density of 150 kg/m3 is considered for Municipal Solid Waste. Estimation of the marabu (dichrostachys cinerea) biomass stock in Cuba: 2011–2016. Calculation of biomass based electricity potential in Cuba: 2011–2016. Calculation of the biomass based GHG reduction potential in Cuba: 2011–2016.
Subject areaRenewable energy, environment
More specific subject areaCarbon dioxide emissions.
Type of dataTable
How data was acquiredFrom documents and own calculations.
Data formatRaw, filtered, analyzed, etc.
Data source locationCuba
Data accessibilityData is available atwww.one.cu
Complementary data is available in literature (see reference list)
Related research articleThe current potential of low-carbon economy and biomass-based electricity in Cuba. The case of sugarcane, energy cane and marabu (dichrostachys cinerea) as biomass sources “in press”.
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