1. Introduction
Emissions of greenhouse gases have risen uncontrollably since the Industrial Revolution [
1]. Burning fossil fuels and the industrial processes that came with the Industrial Revolution led to accelerated CO
2 emissions. Developing countries represent about 80% of the world’s population, yet barely represent one-quarter of cumulative global emissions since the Industrial Revolution [
2]. Recent studies suggest an intimate relationship between GDP growth and the growth of anthropocentric emissions [
3]. It seems that development, often measured by indexes that include values akin to GDP [
4], is also therefore tied to increases in CO
2 emissions since increases in emissions can be projected from economic growth [
5]. The complication arises with a limited emission quota, the responsibility developed countries might have, and the requirements for development [
6]. Rising temperature-stabilization scenarios require emissions to be reduced to zero [
6]. As such, all aspects need to be considered, among them residential heat.
According to Polcyn et al. [
7], of the total final energy consumed in 2018 in Europe (including but not limited to space and water heating), 26% was used in the residential sector. Almost 49% of this energy came from fossil sources, 37.2% from natural gas, 10.3% from oil products, and about 1.3% from coal [
8]. The total final energy consumed in Denmark, Greece, Poland, and Switzerland for the year 2020 can be seen in
Table 1,
Table 2,
Table 3 and
Table 4, respectively.
This energy consumption, due to its reliance on fossil fuels, produces greenhouse gas emissions [
9,
10,
11]. The emissions measured in Denmark, Greece, Poland, and Switzerland for the years 2000, 2010, and 2021 can be seen in
Figure 1 [
12,
13]. Despite the reductions achieved, recent studies indicate an increasing trend of world emissions of up to 2200% from pre-industrial emissions by 2040 [
14].
In 2017, the primary energy source for space and water heating in Europe was natural gas, which contributed 43.4% of the final energy used, followed by biomass at 15.7%, fuel oil at 15.2%, district heating at 12%, electricity at 6.8%, coal with 3.2%, ambient heat at 2.4%, and solar energy at 1.2% [
15]. The residential sector represented the highest demand, requiring 67% of the final energy delivered [
15]. Of the heat demanded by the residential sector, about 10% was used for water heating and about 67% for space heating, while the rest (about 20%) was used for other end-uses [
15]. Of the total final energy delivered to the residential sector, 72.5% was supplied with non-renewable sources [
15].
A differentiation can be made between the sources of energy used to supply heat to the residential sector.
Figure 2 presents the sources of the final energy delivered for space and water heating. The outer circle represents the energy used for space heating, while the inner circle represents the energy used for water heating. Even though all four are European countries, their respective energy mixes vary drastically from one to the next. Poland, for example, used coal to supply 35% of the space heating demand and 40% of the water heating demand. In contrast, Switzerland relied on fuel oil to supply 25% of the space heating demand and 43% of the water heating demand. Due to its climate, Greece supplied 34% of its space heating demand with solar energy and another 33% with ambient heat but relied on fuel oil to supply 47% of its water heating demand.
Composting is a naturally occurring process in which organic matter is broken down into water, carbon dioxide, simple sugars, and mineral salts in the presence of oxygen and decomposing organisms [
16]. The composting process is generally divided into the mesophilic stage (25 °C to 45 °C), thermophilic stage (45 °C to 75 °C), cooling stage, and maturation stage [
17]. During the first two stages, mesophilic and thermophilic, the heat production rate is high, making composting an exothermic process [
18]. The optimal temperature at which the composting process runs best is given by the “minimum”, “maximum”, and “optimal” temperatures specific to the microbe strain used [
19]. The temperature at which the microbes in charge of the thermophilic stage start to be inhibited is around 67.8 °C [
20]. This temperature difference between the maximum microbial [
20] temperature (67.8 °C) and the maximum possible (about 75 °C) [
17] allows for the possibility of recovering this heat.
A possible use of the heat recovered from the composting process could be to reduce the share of fossil fuels used for residential heating. The exothermic quality of composting [
18] is not a new subject and many studies have been conducted on both heat production (
Table 5) and heat recovery (
Table 6).
Table 5 presents the heat produced during the composting process by using different substrates representative of the residential sector [
21]. These values were calculated using either the degradation method (DD), heat balance method (HB), oxygen consumption method (OC), or temperature method (TEM) by the respective authors.
This work aims to answer the following questions: Has the possibility and viability of using composting heat to supply some of the residential sector’s demand been widely studied? Can the heat recovered from the composting of household waste produce enough heat to reduce the demand for fossil fuel-based heating? How much CO2 could be avoided if composting heat replaced standard fuels for combined heat and power (CHP) generation?
Therefore, the objectives of the present paper are:
Perform a broad literature review to assess the research interest in residential use of composting heat.
Identify whether the heat recovered from the composting process can supply enough heat to the residential sector to decrease the heat demand from fossil sources.
Assess the possible emissions avoided by using heat recovered from household size composting for space and water heating.
2. Materials and Methods
In this section, the methodology followed is described. The steps followed in order of appearance are research interest assessment, calculation of the possible heat to be supplied from composting heat, heat demand yearly shape and monthly demand assessment, and lastly, calculation of the possible carbon dioxide emissions avoided in one year by using composting heat to supply part of the residential heat demand.
2.1. Research Interest Review
The research interest was assessed by using Scopus [
37]. Papers whose primary subject was “Composting” and “Heat” were assessed. The search results were filtered to be within the areas of “environment”, “Energy”, and “Engineering”. The abstract of each search result was then analyzed for keywords using Python 3 [
38]. The degree of interest was the number of papers that featured specific keywords. The keywords extracted from the abstracts were not filtered again to portray the raw results and avoid possible biases. The results were then tabulated and graphed. These can be found in
Section 3.
To answer the objective question of “Can the heat recovered from the composting of household waste produce enough heat to reduce the heating bill of cold countries?”, the following steps were taken: description of the possible heat supply, and characterization of the heat demand in European countries. The countries selected were Poland, Switzerland, Greece, and Denmark. The countries were selected solely based on the availability of whether previous work on the subject had been published. This selection served a dual purpose of data validation, as it was based on peer-reviewed papers, and as a result, ties in, as the results presented here are arguably relevant, so this work can serve as a step towards solving the issues presented in the reference papers.
2.2. Heat Supply
The theoretical available recoverable heat was calculated by taking the heat production values from the organic fraction of municipal solid waste (
Table 7). Each was assumed to be attainable in all the locations (Denmark, Greece, Poland, and Switzerland). The heat production values were multiplied by the amount of waste production per capita (W) [
39] and by a recovery efficiency factor derived from the work of Walther et al. [
40]. Equation (1) [
41,
42] describes this calculation.
The waste production is assumed to be representative of all the locations presented in this paper; therefore, the quantity of waste production remains constant from country to country. The recovery efficiency derived was 0.37 [
40]. This efficiency factor includes incomplete reaction, edge effects, and heat losses due to aeration. A lower value (0.25) was also used to account for other human-influenced losses and potential transmission losses. Therefore, the upper edge of the graphs of recoverable heat (found in
Section 3) uses Qp of 1.19 kWh/kg and 0.37 recovery efficiency, while the lower edge uses Qp of 0.39 kWh/kg and an artificial recovery efficiency of 0.25.
As reported in the literature, the heat recovery rate of substrates akin to residential or household waste is given a yearly distribution by multiplying the heat per quantity of substrate (kWh/kg) with the average waste produced by one person, as found in
Table 7.
To generate values representative of the countries studied, the average household size of each country was used to estimate the waste production and, therefore, the heat recovery. The average household size can be seen in
Table 8.
2.3. Heat Demand
The heat demand in each country was calculated to ascertain how much heat would be needed. Since the data available are yearly, the monthly demand was derived. For this, a monthly characterization was performed, followed by adapting the yearly demand to the demand curve shape obtained.
2.3.1. Monthly Characterization (Demand Shape)
Because the values of heat demand were in kWh/m
2 yr, a shape for the values for the different locations used was needed. A theoretical room was calculated in each country. The heat losses of this room of 3 × 12 × 3.2 m with two doors and four windows in each of the studied countries were calculated. The calculation follows Equation (2):
where
is the total heat losses,
is the surface losses for each of the “i” surfaces that make up the room, and
is the heat losses due to air exchanges and infiltration, as shown in Equation (5).
where
U represents the U-value (
Table 9), which measures how effectively a material performs as an insulator [
47]. It represents the reciprocal of the sum of thermal resistances (R-value) of each material that makes up a building element [
47]. The thermal resistance is calculated by multiplying the thickness of the element by its respective conductivity (k-value or λ-value) [
47]; see Equation (4).
A is the area of the surface and ∆T is the difference between the ambient temperature shown in
Table 10 and the design temperature (20 °C).
The values used for the theoretical residence used to generate the consumption shape are the reference values found in DIN 4108 Bbl 2 [
48], shown in
Table 9.
where
V is the volume of the room (115.2 m
3),
ACH is the air exchanges per hour (4 [
49] + 1.3 [
50]), and 0.005 is the air’s specific heat.
The minimum temperatures for each month were used for the difference between the ambient and design temperature.
Table 10 presents the temperatures used for each month in the countries studied.
Table 9.
U-values of building surfaces [
48,
51].
Table 9.
U-values of building surfaces [
48,
51].
Surface | U (W/m2 K) |
---|
Outer wall to air | 0.28 |
Window | 1.3 |
Exterior door | 1.5 |
Roof | 0.2 |
Table 10.
Ambient temperatures used for calculations in degree Celsius.
Table 10.
Ambient temperatures used for calculations in degree Celsius.
| Poland [52] | Denmark [53] | Switzerland [54] | Greece [55] |
---|
January | −9 | −0.61 | −1 | 5.2 |
February | −8 | −0.69 | −2 | 5.5 |
March | −3 | 0.61 | 2 | 7 |
April | 1 | 3.58 | 6 | 9.7 |
May | 7 | 7.15 | 9 | 13.5 |
June | 12 | 10.49 | 13 | 17.4 |
July | 14 | 12.96 | 15 | 19.8 |
August | 13 | 12.92 | 14 | 19.8 |
September | 10 | 10.41 | 11 | 17.1 |
October | 3 | 6.83 | 7 | 13.6 |
November | −1 | 3.34 | 3 | 9.9 |
December | −6 | 0.46 | 0 | 7 |
Since the theoretical room has similar characteristics in size, materials, and composition, the difference between the trend lines of each country lies in the difference between their respective weather characteristics (
Table 10).
This room was only used to generate the shape of consumption, that is, when and how much heat would be demanded throughout the year. With the shapes generated for each country, the measurements (kWh/m2 yr) can follow the generated shapes to obtain a natural heat demand curve for the countries studied.
2.3.2. Adapting Data to Shape
With the shape of the heat losses drawn, a normalization was made to obtain the percentual increase or decrease from the average annual heat loss. The actual heat consumption [
15,
56] for space heating (SH) and water heating (WH) for each location (
Table 11) were then multiplied by these factors to obtain the theoretical monthly heat demand variation.
The space heating demand follows the theoretical monthly shape described above. For the water heating demand, two results are presented. The first one uses the same shape as the space heating. For the second one, an additional assumption was made in which heated water is consumed more regularly throughout the year.
2.4. Carbon Emissions Avoided
For this step, we calculated the carbon dioxide (equivalent) that would be emitted if the heat supplied from composting was instead supplied with natural gas as the primary energy carrier, assuming that the heat is generated with a natural gas combined heat and power (CHP) plant. The calculation is based on the work by Eriksson et al. [
57], in which for every 65 MW of “useful energy” generated, 10 MW is electric and 55 MW is thermal. Moreover, depending on the power source, the emissions of carbon dioxide equivalent are 212
for coal condensate [
58], 81.9
for oil condensate [
59], and 60.3
for natural gas [
59].
3. Results
A total of 1585 keywords were identified from the 685 papers found on Scopus within the areas of composting, heat, environment, energy, and engineering. The keywords that appeared in more than 15 papers can be seen in
Figure 3b.
Figure 3a presents the keywords with more than ten mentions that deal directly with research interest. Some, such as “Products”, present more mentions in
Figure 3a than
Figure 3b. This difference is due to the similarity of words, as singular and plural versions merged. Out of all the papers reviewed in this manner, ten (10) dealt with municipal solid waste (9 with “municipal” as the keyword, 1 with “MSW” (municipal solid waste) as the keyword), seven papers mentioned “building”, seven mentioned “wte” waste to energy, and four dealt with households (2 “household”, 1 “house”, and 1 “houses”). This lack of representation shows that, even though composting is a widely researched topic when heat is concerned, the application of this heat in household consumption has not been widely studied.
Based on the literature reviewed and the calculations made on the assumption that the heat released from composting the substrates mentioned in
Table 5 is similar and attainable in all four countries studied, the recoverable heat from composting could reach a minimum range of 0.30–1.36 kWh in September and a maximum range of 0.43–1.93 kWh in June. This is observable in
Figure 4. The recoverable heat presented in
Figure 4 represents the composting of the waste generated by one person. This paper works on the assumption that one person would generate the same amount of waste regardless of the country the person is located in.
Composting the waste generated by either one person or the average family size of each country results in a negligible amount of heat compared to the countries’ space heating demand (
Table 8). The recovered heat can only supply enough heat during the hot part of the year for countries with similar climate conditions to Greece. Colder climates, such as Poland, Switzerland, and Denmark, require more heat throughout the year than the composting of household waste can generate, as seen in
Figure 5.
Composting heat, however, can supply at least 25% of the water heating demand of all four countries when the water heating demand behaves similarly to the space heating demand. That is, they follow the same consumption shape; see
Figure 6a. When the waste production is proportionate to the average family size (
Table 8), the complete demand can be supplied by composting heat during warm months (
Figure 6b).
If the hot water consumption has a softer trend (following the assumption that hot water is more evenly used throughout the year), the composting heat can supply at least 15% of the hot water demand on its higher heat recovery rate with the waste produced by one person (see
Figure 7a). When the waste is again proportionate to the average family size, about 40% of the monthly demand in all four countries can be supplied, with Greece fully supplying any need for hot water from composting heat throughout the year. Poland and Switzerland, being colder, would require extra heating from other sources regardless of the month,
Figure 7b.
The results presented so far are derived from the calculations made as described in
Section 2 using heat production rates from the literature (
Table 5). However, values of heat recovery have also been reported in the literature (
Table 6). Using these reported heat recovery values (kWh th/kg) multiplied by the quantity of waste produced by one person results in available heat equivalent to that obtained using the calculations presented. This result validates the method and presents the heat obtainable from different substrates similar to household waste. These values can be found in
Table 12. The minimum theoretical recoverable heat (0.14 kWh) comes from a fruit, meat, paper, and yard waste substrate. The maximum (5.24 kWh) is obtained by composting wood waste.
Suppose fossil fuels instead supply the heat that composting could provide in one year; the emissions of CO
2 equivalent range between 5.3 and 6.6 tons of CO
2 eq when natural gas is used. The emissions avoided by using composting heat instead of fossil fuels can be seen in
Table 13.
If the space and water heating supplied to the target countries were to be produced from renewable sources in their entirety, that is, if the sections labeled “coal”, “oil”, and “natural gas”, as well as the portion of the “electricity” label generated using the fossil fuels in
Figure 2 were replaced by renewables. The number of emissions avoided would be as shown in
Table 14. The country that would benefit the most emission-wise would be Poland, with 22 thousand tons of CO
2 emissions from water heating and 180 thousand tons of CO
2 emissions avoided from space heating.
4. Conclusions
Composting is not a new subject. Heat from composting has been widely studied, with 685 peer-reviewed papers in the Scopus search engine. However, the viability of the application or utilization of recoverable composting heat for the residential sector has not been widely studied. The lack of research is evident in the number of papers published. Of all the papers on composting heat, only eleven mention being targeted to the residential sector. This work, although primarily a review, tries to fill a small part of this evident gap by proving that compost heat is viable for household use.
Composting, an exothermal process, releases heat while decomposing the composting substrate. According to the literature reviewed, the heat recoverable during the composting process ranges between 0.39 and 1.19 kWh/kg of the substrate when the substrate is representative of residential dwellers. The waste produced by one person is not nearly enough to supply a portion of the space heating demand of a household to be of any significance.
Compost heat, however, can supply a significant amount of the water heating demand of a household. Depending on the efficiency of heat recovery, compost heat could supply between 36% and 100% of the yearly hot water demand of Greece, between 15% and 67% of the yearly hot water demand of Denmark, between 13% and 60% of the yearly hot water demand of Poland, and between 12% and 53% of the yearly hot water demand of Switzerland.
If composting heat were to replace fossil fuel-based heat generation, a maximum of 23 tons of CO2 from using coal condensate could be avoided, about 9 tons of CO2 from oil condensate, or around 6 tons of CO2 from natural gas, provided that the composting heat recovery is at its highest efficiency. However, if all the fossil fuel-based residential heat was replaced entirely with renewable energy-based heat in Poland, then as much as 180,000 tons of CO2 emissions a year could be avoided from space heating alone.
Although entirely theoretical, this paper identified possible uses for compost heat in households. The next step in this work would be experimentally proving that the calculated hot water demand could be supplied with household-scale composting. Moreover, life cycle assessments could be performed to fully ascertain whether providing heat from composting is a better option than current methods of heat supply.