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Article

A Comparison of Various Technological Options for Improving Energy and Water Use Efficiency in a Traditional Sugar Mill

1
Department of Energy Technology, KTH Royal Institute of Technology, School of Industrial Technology and Management (ITM), 10044 Stockholm, Sweden
2
Center for Energy and Environmental Technologies Assessment (CEETA), Faculty of Mechanical and Industrial Engineering Central, University “Marta Abreu” of Las Villas (UCLV), 54830 Santa Clara, Cuba
3
KTH Royal Institute of Technology, School of Industrial Technology and Management (ITM), 10044 Stockholm, Sweden
*
Author to whom correspondence should be addressed.
Sustainability 2016, 8(12), 1227; https://doi.org/10.3390/su8121227
Submission received: 31 August 2016 / Revised: 4 November 2016 / Accepted: 4 November 2016 / Published: 25 November 2016

Abstract

:
This study is a comparison of four technological improvements proposed in previous works for the Cuban sugar mill Carlos Baliño. These technological options are: (1) utilization of excess wastewater for enhanced imbibition; (2) utilization of waste heat for thermally driven cooling; (3) utilization of excess bagasse for pellets; and (4) modification of the cogeneration unit for maximum electric power generation. The method used for the evaluation of the technological options involves using criteria such as energy saving, financial gains, and CO2 emission saving potential. The results of the analysis show that the first three technological improvement options are attractive only during the crushing season. On the other hand, the last technological improvement option can be attractive if a year round generation of surplus power is sought. The first technological improvement option leads to only minor changes in energy utilization, but the increase in sugar yield of 8.7% leads to attractive profitability with an extremely low payback period. The CO2 emissions saved due to the fourth technological improvement option are the highest (22,000 tonnes/year) and the cost of CO2 emissions saved for the third technological improvement option (lowest) amount to 41 USD/tonne of CO2 emissions saved. The cycle efficiencies of the third and fourth technological improvement options are 37.9% and 36.8%, respectively, with payback periods of 2.3 and 1.6 years. The second technological improvement option is the least attractive alternative of the group.

1. Introduction

Global economic expansion and population growth have resulted in an increased demand of two valuable resources: energy and water. These two resources are interdependent in that water is a vital input for production of energy services, and energy is crucial for the provision of water [1]. Concern about the limited supply of these resources and climate change has led to measures such as energy efficiency improvements, use of renewable energy based technologies and water use optimization. Currently, such measures are being widely investigated and implemented in various industries worldwide. The sugar cane industry is one example where energy and water are both intensively used, and also wasted. Efficient utilization of these resources is crucial for maximizing the energy efficiency of sugar mills and for reducing emissions. Several studies have considered energy efficiency improvement measures by mainly focusing on maximization of electric power generation [2,3,4,5]. On the other hand, efficient utilization of water in sugar cane mills is not widely addressed compared to energy efficiency.
Efficient utilization of energy and water in the sugar cane industry is a key measure for tackling the problem of limited access to these resources in developing countries, where such industries are widely found. Cuba is one of these developing countries with sugar cane industries and struggling with limited access to renewable resource-based energy and water. The main source of energy in the Cuban energy supply is based on fossil fuels, and since 2005 there have been several energy efficiency improvement projects initiated by the government, which resulted in a decreased number of blackouts [6]. The sugar cane industry in Cuba can be one potential sector to implement energy efficiency measures with the aim of contributing to green electricity supply, reusing wastewater and utilizing the bagasse potential. The sugar mill Carlos Baliño has recently been upgraded, with electric drives replacing the old mechanical turbines and a new boiler. However, there was no upgrading of the turbines with subsequent efficiency improvement, so plenty of excess bagasse is currently being produced. Part of this bagasse is used as maintenance fuel as well as a sellable fuel for nearby sugar mills, yet a significant portion piles up as waste. Moreover, this mill retains an outdated approach to water treatment, as excess process water is simply led to ponds for evaporation.
In an attempt to address the above mentioned issues with the Carlos Baliño sugar mill, previous work had been done [7,8,9,10] where specific technological improvements were analyzed. These technological improvements, which were considered as part of field studies conducted during 2014 and 2015 [7,8,9,10], include the following: utilization of excess wastewater for enhanced imbibition; utilization of waste heat for thermally driven cooling; bagasse pelletization; and bagasse drying for surplus power generation. Parameters for analysis and comparison include energy performance, economic considerations, and CO2 emissions. The main objective of this study is to make a comparison of these technological improvements in water and energy utilization for the Carlos Baliño sugar mill, with the ultimate goal of assessing the most viable technologies among the alternatives.

2. Background and Methods

The case study plant, Carlos Baliño sugar mill, is located in Villa Clara, Cuba. It was built in 1903 and in 2001 it started producing ECOCERT-labeled organic sugar [11], which now accounts for 30% of its total sugar production. The sugar mill is known for its high efficiency equipment and high quality product. The cane crushing capacity is 2300 TCD (Tonne of cane per day) and the crushing season is between mid-December to April. The process steam pressure is 2.05 bar (abs.).
Figure 1 shows the process flow sheet for Carlos Baliño sugar mill. The process flow sheet indicates also the wastewater sinks and sources of the sugar mill (see [7,8] for more information). The sugar production process is described in the following sub-sections.

2.1. Sugar Production Processing Steps at Carlos Baliño Sugar Mill

In this section, the sugar production processes with some operation parameters are provided. All the information provided in this section is obtained (unless specified) from the documents collected during field visit to Carlos Baliño sugar mill.

2.1.1. Cane Preparation

The cane harvest is done beginning mid of December and lasts through out April each year [7]. The cane harvest uses mechanized harvest method. The transportation of the harvested cane to the cane cleaning unit is carried out using trucks and carts. The cane cultivation is done using organic agriculture methods. In the cleaning center, more than 50% of the foreign matter such as straw and soil is removed.
Clean cane is transported by trucks and unloaded to the cane feed conveyer where it is split and fed to the cane levelizer and subsequently rendered as cane sheets before reaching the cane knives. The cane knives are powered by two electric motors, 250 and 320 kW at 600 rpm and 440 V. The chopped cane is sent to the cane mill, comprised of a cane crusher and three roller mills driven by two electric motors (400 kW, 440 V and 600 rpm). Imbibition water at about 70 °C and a ratio of twice the fiber is added at the inlet of the third mill. Extracted juice from the second and third roller mills is recirculated to the adjacent mill. At this stage of the extraction process, besides sugar juice, bagasse is obtained and a part of the latter is sent to the boiler to generate electricity in addition to process steam. The other part of bagasse is intended for the production of compost and surplus for sale to other companies, with the remainder eventually landfilled.

2.1.2. Juice Purification

Next, the juice is heated in juice heaters to 105 °C to promote reaction between milk of lime and phosphorous present in the juice. The juice then enters the clarifier where alkalizing and heating is done. The heated clear juice enters two rotary filters and two streams are produced: sludge/filter cake and the clarified filtered juice. This juice with 15 °Bx is sent to the evaporators for juice concentration.

2.1.3. Juice Concentration

The clear juice is fed to two pre-evaporators after heating it to 106–108 °C. These pre-evaporators operate in parallel receive exhaust steam with 15 Psi and produce juice with 8 Psi. The syrup leaves the evaporators with 60–63 °Bx.
The syrup is then sent to the crystallization unit and centrifugation. Sugar coming out of the centrifuges usually has a moisture content of 0.5%–2%. The sugar is dried using hot air to 42 °C and a reduced moisture content of 0.2%–0.5% may be achieved. Drying is usually carried out in a direct contact rotary drum dryer. This reduced moisture content of sugar is critical to prevent the growth of microorganisms and hardening that could cause damage in the stored product and improves handling. The separation of ferrous particles, which might come from cane handling and conveying equipment, is done by a self-cleaning magnetic separator located at the dryer outlet, resulting in 0 ppm Fe in the packaged sugar. The sugar is then sieved and packed.

2.2. Cogeneration at Carlos Baliño Sugar Mill

Steam is generated by combusting bagasse in suspension-type boiler with a temperature of 340–360 °C and a pressure of 18 bar. The boiler brand is RETAL, manufactured in Germany at the end of the eighties, converted into a CAP60 in 2008 in the steam boiler factory of Sagua la Grande, Cuba, originally designed to generate 45 tonnes/h. The boiler was converted to generate 60 ton/h steam at the same conditions of pressure and temperature. There are two back pressure steam turbines, manufactured in Germany in 1884, VEB Bergmann-Borsig brand, SG 49/3/6 model. These have an installed nominal capacity of 3.16 MW and specific electricity provision of 32 kWh/TC. Excess power is sent to the national grid [12]. The existing back pressure power turbines have a limitation in generating excess power more than the current amount [10]. The feed water pumps are KSB brand, series HGM and are manufactured in Germany.
The cogeneration unit of traditional sugar mills is commonly equipped with back pressure turbines for power generation, and the main focus is the production of electricity for the factory’s consumption. Surplus power generation does not occur often, and only during the crushing season. The use of condensing extraction steam turbines however allows sugar mills to generate year round power generation [4]. During unplanned stoppages the cogeneration unit does not normally stop fully, rather the bagasse flow to the boiler will decrease, thus the boiler runs at a lower load. There are conditions where sugar mills use fuel oil during unplanned stoppages, incurring an extra cost and resulting in relatively high carbon dioxide emissions [13]. This is not the case in Carlos Baliño as the existing boilers can use only bagasse or wood. Thus, stored bagasse or purchased wood is used during unplanned stoppages as well as during boiler startups. On average, company records show that the factory operates at 70% of target capacity when including complete shutdowns in the statistics [7,8].

2.3. Technological Improvements under Consideration

Four technological improvements as described in previous works [7,8,9,10] are discussed below.

2.3.1. Option 1: Utilization of Excess Wastewater for Enhanced Imbibition

Figure 2 illustrates the overall concept of Option 1, where the excess wastewater is recycled for imbibition (resulting in higher sugar production). The idea for re-using the excess waste water for imbibition as analyzed in the previous work [7] was proposed after it was determined that the existing imbibition water amount is not optimized and additional water is needed. As can be seen from Figure 1, a portion of contaminated condensate is mixed with the imbibition water supply, illustrating that excess wastewater has the potential to be recycled for imbibition without treatment. The imbibition water flow is such that there will be a maximum profit regarding the increased sugar production. It should be noted that there is an optimum amount of imbibition water needed for maximum sugar production. On the other hand, most sugar mills use imbibition water in excess which results only excess wastewater instead of increased sugar production. This is because the amount of sucrose extracted is not only a function of amount of imbibition water but also other factors such as hydraulic pressure of the roller mills, fiber content of cane, and the amount of cane mille. Thus, beyond a certain amount of imbibition water amount, there will not be sucrose extraction. The imbibition water optimization was done by varying the efficiency of the milling pair, which is the result of varied mass flow of imbibition water. This in turn results in variation in the amount of produced sugar. The optimum amount of imbibition water is thus the amount that results in maximum economic gain regarding sales of sugar. After identifying the optimum amount of imbibition water, which was estimated to be 11 kg/s (96% increase from the currently used amount), part of the excess wastewater is reused and the remaining is sent to a wastewater treatment facility.

2.3.2. Option 2: Utilization of Waste Heat for Thermally Driven Cooling

The aim of the study was to analyze the possibilities of utilizing the waste heat in the excess wastewater flow as a heat source for a thermally driven absorption chiller in order to provide chilled water for air conditioning to laboratories and office areas of the mill. These facilities are currently air conditioned using electrically driven vapor compression air conditioning units. In this way the internal electricity use can be reduced, since heat-driven cooling consumes much less electricity than conventional compression coolers. The thermally driven absorption chiller considered in this study is driven on low-grade heat such as the waste water heat from the sugar mill. The temperature of the heat source can be as low as 75 °C and a cooling of 6 °C is produced [8]. A cooling effect is created when heat is absorbed during the evaporation of a refrigerant at low pressure in the absorption cooling cycle. The refrigerant vapor produced is then absorbed by an absorbent and the liquid solution formed is pumped to the generator in the cycle where heat is supplied and where the refrigerant is separated from the absorbent due to evaporation at high pressure. The refrigerant vapor then goes to a condenser where heat is rejected and the absorbent continues to the absorber and the cycle repeats.
Figure 3 illustrates the overall concept of this option. In order to determine the amount of waste heat available, wastewater flows of the sugar mill were traced and calculated from available data. Wastewater flows from boiler blow down, filter mud wash and floor washing were not considered in the calculation. The waste water flows considered in the previous work [8] are from juice heaters, evaporators and crystallizers. The temperature of the wastewater which is 96 °C is amenable for absorption cooling. The procedure for the calculation of the total amount of excess wastewater flow is similar to the case of Option 1.

2.3.3. Option 3: Utilization of Excess Bagasse for Pellet

Similar to any biomass, bagasse has a bulky nature which makes its handling and transportation a bit difficult. A more compact form of the bagasse in the form of pellets have the advantage of improving its handling and transportation [14]. In addition, bagasse pellets can be stored for utilization during the off-season. The fact that bagasse pellets have a much lower moisture content than the raw bagasse improves combustion in the boiler. The bagasse pelletization process basically involve drying, milling, conditioning and cooling. The heat needed for drying before pelletization of the bagasse is assumed to be obtained from flue gas heat recovery and the optimum particle size is recommended to be less than 3 mm [15]. More information on the pelletization principle can be found on [9,15]. The idea here is to pelletize excess bagasse for sale to various customers. Figure 4 illustrates the concept behind this option.

2.3.4. Option 4: Modification of the Cogeneration Unit for Maximum Electric Power Generation

The aim of this option is to maximize electric power generation via dried bagasse and installation of a condensing extraction steam turbine (CEST). The bagasse drying results in reduced moisture content (MC) of the bagasse which in turn leads to improved heating value. This improves the combustion temperature and boiler efficiency. As the final exhaust steam pressure from CEST is below atmospheric, the expansion of live steam down to this pressure will generate more power than if the same amount of live steam with the same conditions were expanded in a back-pressure turbine. In addition, in the case where there is excess bagasse available for use during off-season, the CEST will enable year round generation of electricity for sales to the grid regardless of the absence of sugar/ethanol production. Figure 5 illustrates the concept behind the technological improvement 4.

2.4. Wastewater Treatment

As sugar mills generally produce a significant amount of wastewater, the treatment of this in a well-functioning wastewater treatment system is necessary both from environmental point of view as well as the re-use of the treated water for different activities such as irrigation and factory cleaning. The most common wastewater treatment methods include: up flow anaerobic sludge blanket (UASB) reactors, waste stabilization pond system and aerated lagoons. The existing wastewater management system at Carlos Baliño sugar mill is out of function and thus implementing proper wastewater treatment is crucial. Abdulhadi and Larsson [7] have proposed a wastewater management system for Carlos Baliño that consists of two unaerated ponds, each with facultative and maturation ponds. This wastewater treatment measure can also be applied to the other technological improvements as well and needs further investigation. Referring to the technological improvement where thermally driven cooling is considered, there are two main issues related to the contaminants in the wastewater highlighted by Feychting and Vitez [8]. The first one is that the wastewater contains some amount of sugar and this necessitates the continual cleaning of the generator unit of the absorption chilling system. The second issue is that there is a possible contamination of the wastewater by for example metallic residues from the absorption chiller. As there will be a need to re-use the wastewater after the absorption chiller for cleaning and irrigation purposes, treatment of the wastewater becomes inevitable.
Abdulhadi and Larsson [7] had collected and partly measured wastewater parameters of the Carlos Baliño sugar mill. The data can be found in Appendix N in [7]. The average measured values are acidity (pH): 6.4, temperature: 33.7 °C and electric conductivity (EC): 1.05–1.08. The Biological Oxygen Demand (BOD5) data obtained from the sugar mill lies in the range 38.5–2750. The collected data from the sugar mill has shown some variation from the measured values due to improper functioning of the lagoon 2 and also some variation of the wastewater quality during different months. Such fluctuations in the characteristics of the wastewater during different periods the year will negatively affect activities like irrigation. For instance the pH of the wastewater should not be below 6.2 for the proper functioning of anaerobic bacteria and their survival. As per the measurement, the EC indicates the wastewater has average salinity which makes it suitable for irrigation; however, as per the collected data the EC lies between 2.09 and 3.28 showing a big difference from the measured data and that the salinity is unstable. This shows that the wastewater cannot be guaranteed for use for irrigation purposes due to its dehydration effect on young crops given its occasional high salinity. This high salinity of the wastewater calls for the use of additional water supply for lowering the salinity. As Carlos Baliño sugar mill produces organic sugar, there are water quality standards that need to be followed during the process in order to meet both environmental conservation as well as the organic sugar production process requirements. The wastewater generated from organic sugar production has relatively lower content of pollutants than that generated from non-organic sugar production. Thus, such wastewater need not be wasted and reutilizing it for some activities should be considered.

2.5. Mass and Energy Balance Relations

Unplanned stoppages are often experienced at the Carlos Baliño sugar mill [7] and there is a variation in the seasonal value of the cane crushed. Thus, it is obvious that operation of the sugar mill at nominal parameters is not always the case. The actual operational parameters vary throughout the crushing season due to unexpected interruptions during the operation of the sugar mill [13]. This leads to variation of collected data in different crushing season and this is experienced during the in-field study conducted in different years resulting some difference in the actual operation data collected from the Baliño [7,8,9,10]. On the other hand, an actual operation parameter is more interesting for a certain analysis than a nominal value, so the analysis involves using actual operation parameters.
The base case plant data are shown in Table 1.
Table 2 summarizes the equations used for calculating some parameters for the different technological options.
The energy saving for Options 1, 3 and 4 is calculated based on the equations provided in Table 3; for Option 2, data are taken from Feychting and Vitez [8].
The equations used for calculating key the economic parameters used in the analysis of this study are provided in Table 4. The electricity price is varied from 0.25 to 0.34 USD/kWh to see its influence on the financial gain and DPBP (discounted payback period).

3. Results

In this section, the comparison results for the four technological options are presented.

3.1. Summary of Key Results from the Four Technological Options

3.1.1. Option 1

Table 5 provides some of the main results for Option 1. The excess wastewater flow was calculated to be 10 kg/s with a temperature of 96 °C. In the study by Abdulhadi and Larsson [7], the wastewater was considered to be partly utilized for imbibition and partially available for a wastewater management system which will be generating treated water for irrigation. The crushing season was considered to be 140 days per year. The amount of the optimized imbibition water was estimated as 11 kg/s whereas the base case imbibition water flow was calculated to be 5.6 kg/s. The amount of wastewater remaining for wastewater management system was estimated to be 4 kg/s. The total sugar production after the optimized imbibition water flow is used is estimated to be 2.5 kg/s which is an 8.7% increase from the base case sugar production. The model result of the study indicated that there will be a net financial gain of USD 1.4 million due to the optimized imbibition flow and thus increased sugar production.

3.1.2. Option 2

The main results for Option 2 are summarized in Table 6. The excess water flow was calculated to be 10 kg/s with a temperature of 96 °C. The maximum cooling demand is estimated to be 288 kW. Energy saving per crushing season is 140,000 kWh, which corresponds to the current electricity consumption of the vapor compression units (equivalent of 40,000 USD/season). The potential revenue from excess electricity production of the base case plant is USD 800,640 per year based on an electricity price of 0.3 USD/kWh and 0.8 MW peak export capacity. In the study for this option, the crushing season is considered to be 139 days per year. Considering the 140,000 kWh, financial savings of USD 40,000 per year with a payback of 3–6 years (depending on the type of equipment selected) were estimated.

3.1.3. Option 3

Some of the main results for Option 3 as taken from [9] are summarized in Table 7. The study model results for the third technological option showed that the seasonal practical amount of excess bagasse was 11,500 t/season, whereas the seasonal nominal amount of excess bagasse was estimated to be 37,000 t/season. Considering the practical amount of excess bagasse, the study result indicated that 7300 ton of pellets/year can be produced. The investment cost was calculated to be USD 3.4 million and the crushing season was considered to be 125 days per year.

3.1.4. Option 4

This selected scenario considers the bagasse drying and installation of a condensing extraction steam turbine. Key results for Option 4 are provided in Table 8. The results from this scenario showed that the maximum surplus electrical energy reaches close to 13.4 GWh and the investment cost for installing a new dryer and turbine is estimated to be USD 6.3 million with a payback time of 1.7 years. The yearly profit is estimated to be USD 3.7 million. The crushing season is considered to be 140 days per year.

3.1.5. Comparison of the Different Technological Options

In all four technological improvement studies, the electricity sales price was considered to be 0.3 $/kWh, and for detailed sensitivity analysis of the electricity price along with other parameters the reader is referred to [8,9,10]. As per the calculation results from this study, for Option 1, the variation of the electricity price from 0.25 to 0.34 USD/kWh does not produce a significant variation in the calculated net financial gain and DPBP. For Option 2, the net financial gain and the DPBP vary from 33,404 to 45,851 USD/year and 8 to 5 years, respectively. For Option 3, the net financial gain and the DPBP vary from 526,821 to 847,195 USD/year and 3 to 2 years, respectively. For Option 4, the net financial gain and the DPBP vary from 3 million to 4.3 million USD/year and 2 to 1.4 years, respectively. For all the options, the discount rate was considered to be 15% as Cuba is a developing country and compared to developed countries there is lower risk in the economy [7,8,9].
The results of the calculated parameters based on data provided in Table 1 and using equations in Table 2 are presented in Table 9. The table also shows cycle efficiency as considered for the four options. As can be seen in the table, the efficiency of the cycle is more sensitive to the technological improvements Option 3 and 4 as compared to the other two options.
Based on the input data collected from the four studies [7,8,9,10] and the calculated parameters in Table 9, two comparison charts are generated as shown in Figure 6 and Figure 7. Figure 6 illustrates the energy savings and cycle efficiency increments of all four options.
Figure 7 illustrates the financial saving per year and the DPBP for the four options. The cycle efficiency for Options 3 and 4 are relatively higher than for the other options as surplus power generation (Option 4) and pellets (Option 3) are produced.
For options 3 and 4, the contribution of the technological improvement to minimize emission is obvious in that the use of bagasse for power generation is a CO2-neutral alternative, whereas for Options 1 and 2, in addition to heat recovery, the reuse of part of the wastewater reduces BOD and Chemical Oxygen Demand (COD) concentrations in the river where it is disposed. In addition, for Option 2, the implementation of heat driven absorption cooling system instead of the existing vapour compression systems that are driven by fossil fuel generated electricity, the CO2 emission is calculated by considering the amount of electric power (140,000 kWh) consumed by the existing vapour compression systems. Similarly, for Options 3 and 4, the CO2 emission savings are calculated based on the amount of energy saved per crushing season. The amount of CO2 from fuel oil-based power generation considered in the calculation of the CO2 emission saved equals 675 g CO2/kWh [19]. Figure 8 illustrates the CO2 emissions saved in tonnes/year and the cost of CO2 reduction per tonne of CO2 for Options 2–4. The CO2 emissions associated with Option 1 are unaffected by the technological improvement made; however, the sugar yield increases. Option 3 represents the most cost-effective CO2 reduction technology, although its level is much higher than benchmarks like the EU Emissions Trading Scheme [20].
As can be seen from Figure 6 and Figure 8, the amount of CO2 emission saved corresponds to the amount of energy saved for the respective options. The CO2 emissions saved for Option 2 is quite small as compared to the emissions saved from the other options and are estimated to be 94.5 tonnes/year.
The choice of which technological option should be prioritized depends on its relevance to the current Carlos Baliño sugar mill situation. The advantage with implementing Option 3 and Option 4 together can be that taking into account the seasonality of sugar production, the pellets can be saved for off-season and can either be sold or used for power generation by the sugar mill during off-season. In addition, during unexpected interruptions, the pellets can be used as a back-up fuel. Considering Option 2, though the cycle efficiency is not affected much by the re-use of the waste heat in the wastewater for absorption cooling technology. However, the implementation of Option 2 is a viable technology and worth investment if the priority of Carlos Baliño sugar mill is to have a cooling supply which is based on a renewable energy resource. On the other hand, Option 2 is reliable only for the crushing season and so does not guarantee a cooling supply during off-season.

4. Conclusions

The purpose of this study was to compare the four technological options that were proposed for the Carlos Baliño sugar mill and suggest which option is suitable to implement. For this, different factors are considered as comparison parameters, and the implementation of technological improvements 3 and 4 have more sensitivity to the improvement of the cycle efficiency. The cycle efficiencies calculated for Option 3 and Option 4 are 37.9% and 36.8%, respectively. This alone, however, does not necessarily lead to the conclusion that these options need to be prioritized compared to Option 1 and Option 2. Option 2 can be attractive, if an improved and environmentally friendly air conditioning system for the factory is prioritized regardless of the longer DPBP compared to the other options. The prioritizing of the four options was examined from other points of views as well: financial gains, DPBP and energy saving. The CO2 emissions saved due to Option 4 are the highest (21,538 tonnes/year) and for Option 2 it is the lowest (94.5 tonnes/year). The cost of CO2 emissions saved for Options 2 (highest) and 3 (lowest) is estimated to be 423 and 41 USD/tonne of CO2 emissions saved, respectively.

Acknowledgments

Many thanks for the financial support of the Swedish International Development Cooperation Agency (SIDA) that funds this project. Thanks to all from Carlos Baliño sugar mill staff for providing data and necessary information during the field study. Our thanks to the scholarship providers from SIDA’s Minor Field Studies (MFS) in developing countries programme and Din Els Miljöfond, which funded the field trips to Cuba. Publishing costs were assumed by KTH, Division of Heat and Power Technology.

Author Contributions

E. Birru has substantially contributed to the writing of the manuscript, the analysis regarding the comparison of the technological options considered in this study and to the interpretation of results. C. Erlich and A. Martin have contributed to the design of the study and to the preparation of the manuscript. I. Herrera provided data from Carlos Baliño sugar mill. The remaining authors have contributed via BSc thesis work: B. E. Abdulhadi and A. Larsson (Option 1 study); S. Feychting and F Vitez (Option 2 study); E. Onoszko and M. Hallerbo (Option 3 study); and L. Weilenmann and L. Puskoriute (Option 4 study).

Conflicts of Interest

The authors declare no conflict of interest. The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

Nomenclature

CharacterParameterUnit
Mass flowkg/s
Q ˙ Heat flowkW or MW
PowerkW or MW
ηEfficiency%
hEnthalpykJ/kg
EEnergyGWh
cpSpecific heat capacitykJ/kg∙°C
CCostUSD/year
nPeriodyears
rDiscount rate%
IInvestmentUSD
GFinancial gainUSD/year
RevRevenueUSD/year
tCrushing seasondays
Volume flowm3/h
λElectricity priceUSD/kWh
ρDensitykg/m3
gStandard gravitym/s2
Hheadm

Superscripts

bBagasse
BCBase Case plant
exExcess
elElectricity
fFuel
netNet mass flow
mMaintenance
optOption
psProcess
stSteam
SHSuperheated
TotTotal
TexTurbine exhaust
FWFeed water
dDry basis
OptimOptimum
CycCycle
savSaving
wwWastewater
imbimbibition
nomnominal
wwater
pracpractical
m&oOperation and maintenance
ssugar
mmaintenance
absabsorption chiller

Abbreviations

CESTCondensing extraction steam turbine
MCMoisture content
BODBiological Oxygen Demand
DPBPDiscounted Payback Period
TCDTonne of cane per day
CODChemical Oxygen Demand
SGISteam Generation Index
LHVLower Heating Value
HHVHigher Heating Value

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Figure 1. Flow sheet of Carlos Baliño sugar mill [8].
Figure 1. Flow sheet of Carlos Baliño sugar mill [8].
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Figure 2. Wastewater for enhanced imbibition.
Figure 2. Wastewater for enhanced imbibition.
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Figure 3. Sugar mill waste heat for thermally driven cooling.
Figure 3. Sugar mill waste heat for thermally driven cooling.
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Figure 4. Utilization of excess bagasse for pellets.
Figure 4. Utilization of excess bagasse for pellets.
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Figure 5. Maximum electric power generation using bagasse drying and new turbine setup.
Figure 5. Maximum electric power generation using bagasse drying and new turbine setup.
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Figure 6. Energy saving and cycle efficiency increment (relative to base case) for the four options.
Figure 6. Energy saving and cycle efficiency increment (relative to base case) for the four options.
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Figure 7. Financial savings and DPBP (discount payback period) for the four options.
Figure 7. Financial savings and DPBP (discount payback period) for the four options.
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Figure 8. Amount of CO2 emission saved and cost of CO2 reduction per tonne CO2 for Options 2–4.
Figure 8. Amount of CO2 emission saved and cost of CO2 reduction per tonne CO2 for Options 2–4.
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Table 1. Selected operation parameters for base case plant [10].
Table 1. Selected operation parameters for base case plant [10].
ParameterValueUnitReference
MC50%[10]
LHVtot,50% MC7960kJ/kg[10]
b,tot4.25kg/s[10]
b,ex0.85kg/s[10]
SGI2.2 [10]
hTEX2726kJ/kg[10]
hps293kJ/kg[10]
hSH3053kJ/kg[10]
el,BC2.8 aMW[10]
ww,ex10kg/s[7,8]
Tww,ex96°C[7,8]
Timb70°C[7,8]
a 2 MW is for in-house consumption and 0.8 MW is sold to the grid.
Table 2. Equations used for mass and energy balance related calculations.
Table 2. Equations used for mass and energy balance related calculations.
ParameterEquationUnit
Net bagasse flow m ˙ b , net = m ˙ b , tot m ˙ b , ex kg/s
Total steam flow m ˙ st , tot = SGI m ˙ b , net kg/s
Heat to process Q ˙ ps = m ˙ st , tot ( h TEX h FW ) kW
Electrical power output P ˙ el = m ˙ st , tot ( h SH h TEX ) kW
Lower heating value at a certain bagasse MC a L H V tot , M C = L H V d ( 1 M C ) 2443 M C kJ/kg
Mass flow of bagasse at a certain bagasse MC m ˙ b , M C = m ˙ b , tot ( 1 0.5 ) ( 1 M C ) kg/s
Fuel energy to the cycle Q ˙ f = m ˙ b , net L H V tot kW
Efficiency of the cycle (BC plant) η cyc , BC = P el + Q ˙ ps Q ˙ f 100 %
Efficiency of the cycle for a specific technological option η cyc , opt = P el + Q ˙ ps + ( E ˙ sav , opt t opt 24 ) Q ˙ f 100 %
a For Option 4, the dry basis LHV (Lower Heating Value) is estimated based on HHV (Higher Heating Value) provided in [10].
Table 3. Equations used for calculating energy saving for options 1, 3 and 4.
Table 3. Equations used for calculating energy saving for options 1, 3 and 4.
ParameterEquationUnit
Energy savings for Option1 E sav , opt 1 = m ˙ ww , imb c p , w ( T ww , ex T imb ) t opt 1 24 MWh/year
Energy savings for Option 2 E sav , opt 2 = 140 [8]MWh/year
Energy savings for Option 3 E sav , opt 3 = m ˙ b , ex , prac L H V tot , 50 % M C t opt 3 24 MWh/year
Energy savings for Option 4 a E sav , opt 4 = ( m ˙ b , tot m ˙ b , MC ) L H V tot , MC t opt 4 24 MWh/ year
a The MC (moisture content) used is 35%.
Table 4. Summary of equations used for calculations related to economic parameters.
Table 4. Summary of equations used for calculations related to economic parameters.
ParameterEquationUnit
Cost of capital a C capital = ( R e v opt C m & o ) 1 ( 1 + r ) n r I tot [8,9]USD/year
Yearly net profit b P r o f i t yearly = R e v opt C m & o USD/year
Maintenance and operation cost for option 1 c
-Maintenance cost c C m , opt 1 = 0.1 I tot , opt 1 USD/year
-Energy price d E price , opt 1 = V ~ imb , w H ρ w g λ el t opt 2 24 3.6 10 6 η p η m USD/year
a By setting the cost of capital to zero and solving for n, the discounted payback period (DPBP) is estimated; b This is the same as the financial gain for Options 1–4; c The labour cost is negligible. The maintenance cost is assumed to be 10% per year of the initial investment cost [16]; d The volume flowrate is estimated about 22.5 m3/h based on the additional 6 kg/s imbibition water [7]. The water is assumed to be under a 3 m head [17] and the density taken at 96 °C. The pump and electric motor efficiencies are assumed to be 90% each. The acceleration due to gravity is 9.81 m/s2.
Table 5. Results for Option 1.
Table 5. Results for Option 1.
ParameterValueUnitReference
Part of excess wastewater reused for imbibition, ww,imb6kg/s[7]
Optimized imbibition water flow, optim,imb11kg/s[7]
Crushing season, topt1140Days[7]
Revenue from sugar produced, Revs a1.4106 USD/year[7]
Investment cost, Iopt1 b3500USD[18]
Maintenance and operating cost, Cm&o c570USD/year
a Calculated value and refers to the net revenue from the increased sugar production; b cost of the pump needed for the additional imbibition water; c calculated value using equations in Table 4.
Table 6. Results for Option 2 as taken from [8].
Table 6. Results for Option 2 as taken from [8].
ParameterValueUnit
Total bagasse flow, b,tot8.8 akg/s
Energy saving per crushing season, Esav,opt1140,000 bkWh
Crushing season, topt1139Days
Total investment cost, Itot152,326USD/year
Maintenance and operating cost, Cm&o1171USD/year
Revenue c, Revabs41,490USD/year
a When estimating the excess bagasse flow, the ratio of the excess bagasse and total bagasse flow presented in Table 1 will be considered; b Corresponds to the current electricity consumption of the vapor compression units; c Due to saved electricity after installing thermally driven absorption chiller.
Table 7. Results for Option 3 as taken from [9].
Table 7. Results for Option 3 as taken from [9].
ParameterValueUnit
Practical amount of excess bagasse flow, b,ex,prac11.5103 tonnes/year
Nominal amount of excess bagasse flow, b,ex,nom37103 tonnes/year
Yearly pellet production capacity, pellet7.3 a103 tonne/year
Crushing season, topt3125Days
Total investment cost, Itot1307103 USD/year
Maintenance and operating cost, Cm&o363103 USD/year
Revenue, Revpellet1068 a103 USD/year
a Considering the practical amount of excess bagasse.
Table 8. Results for Option 4 as taken from [10].
Table 8. Results for Option 4 as taken from [10].
ParameterValueUnit
Excess power capacity, el,ex3.9MW
Crushing season, topt4140Days
Total investment cost, Itot5045103 USD/year
Maintenance and operating cost, Cm&o195103 USD/year
Revenue, Revel,ex3931103 USD/year
Table 9. Calculated parameters and cycle efficiency for the four options.
Table 9. Calculated parameters and cycle efficiency for the four options.
ParameterUnitOption 1Option 2Option 3Option 4
Mass flow of net bagassekg/s7.0 a7.0 a3.73.3
Total steam flow, BC iskg/s15.5 b15.5 b8.1 b11.4
Fuel inputMW56.056.029.327.1 c
Electrical power output (2 MW in-house and 0.8 MW is sold)MW2.82.81.62.8
Process heat demandMW37.737.719.718.2
Efficiency of cycle (BC), LHV basis%72.272.272.877.6
Efficiency cycle (Options), LHV basis%73.472.8100.4106.1
a Estimated by taking ration of 0.85 to 4.25 from Carlos Baliño data and then recalculating from the 8.8 kg/s of Option 1 and 2; b Steam: bagasse = 2.2 (SGI) is considered for options 1–3 and the total amount of bagasse is considered with 35% MC for Option 4; c LHV (@35% MC) 9682.6 kJ/kg and Qf (@35% MC) = 31.6 MW.

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Birru, E.; Erlich, C.; Herrera, I.; Martin, A.; Feychting, S.; Vitez, M.; Abdulhadi, E.B.; Larsson, A.; Onoszko, E.; Hallersbo, M.; et al. A Comparison of Various Technological Options for Improving Energy and Water Use Efficiency in a Traditional Sugar Mill. Sustainability 2016, 8, 1227. https://doi.org/10.3390/su8121227

AMA Style

Birru E, Erlich C, Herrera I, Martin A, Feychting S, Vitez M, Abdulhadi EB, Larsson A, Onoszko E, Hallersbo M, et al. A Comparison of Various Technological Options for Improving Energy and Water Use Efficiency in a Traditional Sugar Mill. Sustainability. 2016; 8(12):1227. https://doi.org/10.3390/su8121227

Chicago/Turabian Style

Birru, Eyerusalem, Catharina Erlich, Idalberto Herrera, Andrew Martin, Sofia Feychting, Marina Vitez, Emma Bednarcik Abdulhadi, Anna Larsson, Emanuel Onoszko, Mattias Hallersbo, and et al. 2016. "A Comparison of Various Technological Options for Improving Energy and Water Use Efficiency in a Traditional Sugar Mill" Sustainability 8, no. 12: 1227. https://doi.org/10.3390/su8121227

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