Introduction

Throughout the world, agro-industrial sector is subjected to tighter and stricter environmental regulations, and the need to introduce effective monitoring and handling systems. Treatment and safe disposal of the ever increasing amounts of industrial by-products pose continual energetic, economic and environmental challenges to enterprises (Castaldi and Melis 2002; Rashad et al. 2010).

In many developing countries, organic wastes including agro-industrial wastes, among other waste streams, are traditionally directly incinerated or deposited in landfills resulting in the production of significant amounts of greenhouse gases, besides removing valuable and oftentimes a limited land resource (Zhang et al. 2013). Unless managed properly, agro-industrial waste may pose both environmental and health problems (Sharma et al. 1997). For example, Abu Qdais and Alshraideh (2016) reported that there are 118 olive oil mills in Jordan producing annually about 35,561 tons of solid waste from the olive oil industry. Deterioration of natural water bodies due to olive oil mill wastes is a serious problem as reported by Azbar (2004) and Alburquerque et al. (2006). In contrast, composting and/or co-composting of organic wastes is considered as an effective component in any integrated waste management strategy (Bari and Koenig 2002), and considered as an environmentally friendly option for treatment of such wastes (Korner et al. 2003). The term “composting” refers to the controlled decomposition and stabilization of organic wastes by biological means under aerobic conditions (Dees and Ghiorse 2001; Paredes et al. 1996). Co-composting, however, is the simultaneous composting of two or more types of waste material (Das et al. 2011; Petric et al. 2012), with the potential added benefit of enhancing end compost quality (Paredes et al. 1996).

In addition to being a low-cost, environment-friendly process, composting benefits also include reduction of volume, weight, moisture content, potential odor, and pathogens, as well as increasing potential nutrients of the waste (Scheutz et al. 2011). Most importantly, perhaps, the end product can be used as a useful soil amendment: fertilizer and/or soil conditioner (Huang et al. 2006; Iqbal et al. 2010), besides other uses such as pellets for fuel (Zajonc et al. 2014), isolating various microbial control agents (Larkin and Tavantzis 2013), and potential heat recovery from the composting process (Al-Widyan et al. 2008). However, compost from agro-industrial wastes in particular is more reliable and is considered ‘‘clean biowaste,’’ and thus may be utilized in crop systems as a fertilizer or soil conditioner with a good quality. (Ben Rebah et al. 2007). Olive milling wastes (OMW), grain dust (GD) from grain handling facilities, and coffee-processing wastes (CPW) represent three major agro-industrial waste streams. Meanwhile, in many regions like the Mediterranean, where agriculture is a major activity, soil quality has witnessed continued deterioration due to the widespread implementation of inadequate agricultural production techniques that constitute a serious threat to the sustainability of this vital sector (Zalidis et al. 2002; Lasaridi et al. 2006; Reynolds and Borlaug 2006; Verhulst et al. 2010; Martínez-Blanco et al. 2011). In addition, soils in this region in general suffer from low levels of organic content that is most commonly substituted by chemical fertilizers that have short-term impact on yield, typically up to 2 years, but fail to improve soil physical properties (Shiralipour et al. 1992; Carpenter-Boggs et al. 2000). Meanwhile, the Mediterranean has traditionally been and is projected to continue to be the world’s major olive producer, although olive industry is expanding beyond the Mediterranean into new territories such as Australia, for instance, where olive culture is witnessing a rapid growth.

However, before applying compost to crop systems, due care should be taken to make sure that the compost is of a good quality, sufficiently mature and stable (Bachert et al. 2008). In addition to the C/N ratio, pH, and the physical structure of the substrate, such factors as aeration rate, temperature, and moisture content play a vital role in effective composting (Korner et al. 2003; Huang et al. 2004).

In light of all the above, this study was initiated by establishing a total of seven pilot scale indoor and outdoor static composting windrows that consisted of three agro-industrial waste streams, namely olive cake (the solid by-product of olive processing), grain dust, and coffee-barley, or mixtures thereof. The purpose was to examine the composting and co-composting kinetics by monitoring the degradation process in terms of volatile solids (VS) content, temperature and moisture variations of the windrows over the composting periods. Composting kinetics modeling is necessary to design and operate composting facilities that comply with strict market demands and stringent environmental regulations (Hamelers 2004). This can be achieved once the composting kinetics is well understood. (Hamoda et al. 1998). Proper modeling of the progress of substrate degradation is of great importance in the prediction of operating variable of the composting process. One of the most commonly used approaches in modeling the composting kinetics is the substrate degradation models, where the independent variable is either the quantity or concentration of the substrate remaining. In the present study, remaining amount of the substrate was selected as indicator to model the composting kinetics and to find out which reaction order the composting kinetics follow.

Materials and methods

As indicated earlier, this study involved three agro-industrial waste types, namely, OMW, GD, and CPW, as well as various two-material mixture combinations thereof. Sufficient amounts of each substrate were collected and brought to the laboratory in plastic bags and maintained under prevailing laboratory conditions. Fresh and dry OMW and GD were brought in from, respectively, an olive mill and a major national grain storage facility, both located in the vicinity of Jordan University of Science and Technology (JUST) campus. As for CPW, it was gathered from an instant coffee factory in Amman about 100 km away from JUST campus.

Before being subjected to composting, initial contents of moisture and volatile solids were determined for all samples. Moisture content was determined by oven drying at 105 °C for about 24 h, while volatile solids were determined by incinerating the dry samples in a muffle furnace at 550 °C for 1 h. Values of these parameters for each type of waste are listed in Table 1. It can be observed that the highest volatile solids content is in fresh olive milling waste (87.40 %), while it is the lowest in dry olive milling waste (55 %). This can be explained by the fact that the dry olive milling waste has lost some of its volatile solids contents during the drying process.

Table 1 Initial moisture content and volatile solids for the organic wastes used in the study

The study involved a total of seven laboratory scale composting piles (windrows). Particularly, three indoor piles were prepared; one of which was of GD, the other of CPW, and the third involved a mixture of GD and CPW. Two more outdoor piles were established; one of a mix of GD and dry OMW, and the other consisted of a mix of CB and dry OMW. The remaining two were indoor piles; one consisted of a mix of fresh OMW and GD, and the other was purely fresh OMW. Detailed information of each composting pile is provided in Table 2.

Table 2 Information on the composting and co-composting piles

It may be noted that composting activity of CPW extended over a longer period of time compared to either GD or GD + CPW mix at the same temperature. This is because the active composting period was the parameter that dictated the termination of the experiment, rather than the composting duration itself.

Following Rynk (1992), all piles were passively aerated windrow type with low parabolic shape. The geometric characteristics of the piles used in this study are depicted in Fig. 1. In the case of mixed piles, equal amount of each of the two materials would be piled together and gradually wetted and continuously and thoroughly mixed manually in order, so as, to secure a 50:50 mix and, to achieve optimum initial moisture content of about 60 % (w.b.).

Fig. 1
figure 1

Dimensions and shape of the aerated composting pile

In order to avoid undesirable consequences of anaerobic pockets formation within the piles (Bachert et al. 2008) and maintain aerobic conditions, pile aeration was provided by using perforated pipes that were inserted at the bottom of each pile at a regular distance. Specifically, five 10-cm diameter PVC perforated pipes were utilized to supply air to the passively aerated windrows. Each pipe had two rows of 1.25 cm diameter holes that were 30 cm apart along the pipes. To prevent blockage of the holes, pipes were covered by sawdust with holes made facing downward to avoid the direct cooling effect of air (Rynk 1992). Besides aeration, piles were manually wetted and turned once their temperature dropped below 40 °C and/or moisture content dropped below 40 % (Tiquia et al. 1997). Table 3 shows the wetting and turning frequency of the piles throughout the composting period.

Table 3 Turning frequency of various composting piles

Throughout the data collection period, the ambient temperature was recorded on a daily basis. In addition and in light of the absence of any standard in this respect (Wichuk and McCartney 2008; Isobaev et al. 2014), it was deemed appropriate to record the temperature at four locations along the pile at 60, 120, 180, and 240 from the pile’s end. At each of these locations, temperature was measured on a daily basis at three different points within the windrow at a depth of 40–50 cm into the compost mass. In each windrow, four locations would be specified on day 1 of the process for moisture and volatile solids sampling and measurement. Using and sticking to these same locations throughout the process, moisture measurement was conducted twice a week during off-winter and once a week during winter. Volatile solid contents were determined one a week from these same four locations. Each moisture/volatile solids reading was for a mixture of the four samples from the four locations. All temperature measurements were made by thermocouples and digital thermometers.

Volatile solids

Volatile solids (VS) determination was accomplished using ignition method (Tchobanoglous et al. 1993). Samples of substrate were withdrawn from the compost piles on a weekly basis and subjected to drying and ignition in a muffle furnace. Comparing the volatile solid concentration at any time to the initial volatile solids in each pile was used to calculate the volatile solids index according to the following equation:

$${\text{Volatile solids index }} = \frac{\text{Volatile solids content}}{\text{Initial volatile solids content}}$$
(1)

Results and discussions

Temperature–time history

The variation of compost mass temperature over time for the three groups of windrows is shown in Figs. 2, 3, 4. These figures indicate that all runs showed the general temperature–time pattern of a composting pile and were mostly in the thermophilic range with a maximum pile temperature of about 65 °C, which is in agreement with values reported in literature (Mbuligwe et al. 2002; Weppen 2001).

Fig. 2
figure 2

Temperature variation for the indoor piles over the composting period

Fig. 3
figure 3

Temperature variation for the outdoor piles over the composting period

Fig. 4
figure 4

Temperature variation for indoor piles (winter) over the composting time

Close examination of the figures reveals that the indoor piles (Fig. 2) experienced the most vigorous composting. Figure 2 shows that composting time of the indoor pile maintained for longer duration followed by outdoors piles. This trend may be attributed to the ambient temperature which was about 27 °C for laboratory ambient conditions compared to more than 30.4 °C for outdoor ambient air temperature. For comparison Table 3 shows composting conditions (i.e., indoor or outdoor), composting times and ambient temperature for each pile.

It should be noted that the discontinuities appearing in the figures as sharp increases in pile temperature particularly in Figs. 2 and 3 indicate an incident of turning and wetting of the piles. Still, however, it seems that for this particular waste material and study conditions, once pile temperature experiences the first significant drop, turning and wetting effect only a short-lived temperature rise that declines relatively quickly thereafter.

As may be seen in Figs. 5, 6, 7 where a sudden overshoot in pile moisture indicates an incident of wetting and turning

Fig. 5
figure 5

Moisture variation in the indoor piles over the composting period

Fig. 6
figure 6

Moisture variation in the outdoor piles over the composting period

Fig. 7
figure 7

Moisture variation in the indoor piles over the composting period (winter)

Pile moisture variation

The variation of piles moisture content with composting time is depicted in Figs. 5, 6, 7 for the three runs. Given the significant effect of pile moisture on composting and the fact that a minimum of about 40 % moisture should be maintained for active composting, Figs. 5, 6, 7 indicate that under the prevailing conditions of this work, pile moisture diminished relatively quickly for outdoor piles compared to the indoor piles, although indoor piles that were made in winter period have a relatively slow drying rate. This is expected in light of the fact that ambient temperature is significantly lower in winter than in summer, while humidity is much higher.

Composting kinetics

Figures 8, 9, 10 show the degradation progress during the composting process by monitoring the volatile solids index. It can be observed that for all composting piles the degradation process follows an exponential decay trend as confirmed by Fig. 11 that shows the correlation of the exponential function for the first group of composting piles with high value of coefficient of determination (R 2), which was 0.99, 0.98 and 0.88 for grain dust, grain dust with coffee-processing waste and coffee-processing waste, respectively.

Fig. 8
figure 8

Volatile solids index for indoor piles

Fig. 9
figure 9

Volatile solids index for outdoor piles

Fig. 10
figure 10

Volatile solids index for indoor piles (winter)

Fig. 11
figure 11

Exponential correlations of the volatile solids for the first group of composting piles

Since the degradation of organic matter as a function of time follows first-order kinetics, the rate of degradation can be expressed by the following equation:

$${\text{dVS}}/{\text{d}}t \, = \, - \, k{\text{VS}}$$
(2)

where:

VS is the concentration of biodegradable volatile solids at any time in grams

t is the time in days

k is the first-order reaction rate constant in day−1

Integrating Eq. 2 by letting VS = VS0 at t = 0, the concentration of organic matter at any time in the compost mass can be expressed as follows:

$${\text{Ln }}\left( {{\text{VS}}/{\text{VS}}_{0} } \right) \, = \, - \, kt$$
(3)

During the composting process, samples of composted substrates were withdrawn from the piles on a weekly basis and subjected to ignition process to determine the volatile solids content of the piles. By knowing the initial volatile solids content and following the change in the volatile solids with time, and by applying the first-order reaction equation, it was possible to calculate the reaction rate constant (k) for each pile. Values of the reaction rate constant are presented in Table 4

Table 4 Values of first-order reaction rate constant for each composting pile

Volatile solids are used as an indicator of organic matter content and their measurement can serve as a quick and reliable indicator of organic matter degradation kinetics during the composting process.

Examining Table 4 carefully, it can be observed that the compost pile that has the highest biodegradability is the grain dust with a reaction rate constant of 0.0055 d−1, followed by coffee-processing waste and fresh olive milling waste with reaction rate constants of 0.0039 and 0.0015 d−1, respectively. On the other hand, among the co-composting piles, the grain dust with coffee-processing waste had the highest biodegradability with reaction rate constant of 0.0045 d−1, followed by grain dust with dry olive-processing waste that had a rate constant of 0.0036 d−1, and coffee-processing waste plus fresh olive milling waste with rate constant of 0.0024 d−1 and finally the grain dust with fresh olive milling waste of 0.0022 d−1. This is also evident by the higher value of temperature that was achieved in the grain dust piles, which resulted from the microbial respiration during the biodegradation process. This implies that the grain dust is a much easier biodegradable substrate than the others, while the olive cake both old and fresh had the lowest biodegradability. This is in agreement with other researchers who reported a relatively slow biodegradation rate of olive waste (Alburquerque et al. 2006). This is expected since the olive residues contain phenolic and complex lipids which are phytotoxic and stable compounds that inhibit microbial activity and slow the biodegradation process.

Conclusions and recommendations

Information on substrate biodegradability and its composting kinetics is important for planning and design of the composting facility. The composting and co-composting experiments on a pilot scale revealed that all agro-industrial wastes followed first-order kinetics during composting and co-composting processes. However, the substrates differ in biodegradability rate. Grain dust had the highest biodegradability, while the olive cake in dry and wet status had the lowest biodegradability. For future research, it is recommended to test the produced compost from agro-industrial waste in nurseries and field to check its capability in amending the soil properties and improving fertility.