Next Article in Journal
Perceptions of Cultivated Meat in Millennial and Generation X Consumers Resident in Aotearoa New Zealand
Previous Article in Journal
The Impact of Value Cocreation on CSR Innovation and Economic Performance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Composting Heat Recovery for Residential Consumption: An Assessment of Viability

by
Vittorio Sessa
* and
Ramchandra Bhandari
*
Institute for Technology and Resources Management in the Tropics and Subtropics, TH Köln (University of Applied Sciences), Betzdorfer Strasse 2, 50679 Cologne, Germany
*
Authors to whom correspondence should be addressed.
Sustainability 2023, 15(5), 4006; https://doi.org/10.3390/su15054006
Submission received: 20 December 2022 / Revised: 13 February 2023 / Accepted: 20 February 2023 / Published: 22 February 2023
(This article belongs to the Section Energy Sustainability)

Abstract

:
The European heating sector is currently heavily dominated by fossil fuels. Composting is a naturally occurring process in which heat is liberated from the composting substrate at a higher rate than the process needs to support itself. This difference could be harnessed for low-heat applications such as residential consumption, alleviating some of the impacts fossil fuel emissions represent. In this study, the composting heat recovery reported in the literature was compared to the energy demand for space and water heating in four European countries. A review of potential heat production from the waste representative of the residential sector was performed. We found that the theoretically recoverable composting heat does not significantly reduce the need for district heating. However, it can significantly reduce the energy demand for water heating, being able to supply countries such as Greece with between 36% and 100% of the yearly hot water demand, or 12% to 53% of the yearly hot water of countries such as Switzerland, depending on the efficiency of heat recovery.

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 CO2 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 CO2 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.
Q R kWh = Q P , i kWh kg × W kg × η R
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/m2 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):
Q L T = Q S , i + Q I n f
where Q L T is the total heat losses, Q S , i is the surface losses for each of the “i” surfaces that make up the room, and Q I n f is the heat losses due to air exchanges and infiltration, as shown in Equation (5).
Q S = U W m 2 K × A m 2 × Δ T K
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).
U = 1 T h i c k n e s s i   m C o n d u c t i v i t y i   W / m K
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.
Q i n f = V m 3 × A C H × Δ T K × 0.005
where V is the volume of the room (115.2 m3), 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].
SurfaceU (W/m2 K)
Outer wall to air0.28
Window1.3
Exterior door1.5
Roof0.2
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−9−0.61−15.2
February−8−0.69−25.5
March−30.6127
April13.5869.7
May77.15913.5
June1210.491317.4
July1412.961519.8
August1312.921419.8
September1010.411117.1
October36.83713.6
November−13.3439.9
December−60.4607
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 g   CO 2 / MJ el for coal condensate [58], 81.9 g   CO 2 / MJ el for oil condensate [59], and 60.3 g   CO 2 / MJ el 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 CO2 equivalent range between 5.3 and 6.6 tons of CO2 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 CO2 emissions from water heating and 180 thousand tons of CO2 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.

Author Contributions

Conceptualization, R.B. and V.S.; methodology, V.S., R.B.; software, V.S.; validation, V.S., data curation, V.S.; writing—original draft preparation, V.S., R.B.; writing—review and editing, R.B., V.S.; funding acquisition, R.B. All authors have read and agreed to the published version of the manuscript.

Funding

APC was funded via Project RETO-DOSSO, which is funded by the German Federal Ministry of Education and Research (BMBF) through its Project Management Agency Jülich (PtJ) under the grant number: 03SF0598A.

Data Availability Statement

All data used is referenced and cited.

Acknowledgments

This scientific work was carried out at: Metabolon, a joint venture of TH Köln and BAV. The project REACT, under which the work of V.S. was carried out, is financially supported by the European Commission and the European Regional Development Fund (ERDF) under the slogan “Investing in our future”. The contribution of R.B. was carried out under the funding scheme of the RETO-DOSSO project.

Conflicts of Interest

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

Nomenclature

MtoeMega tons of oil equivalent
DDDegradation method
HBHeat balance method
OCOxygen consumption method
TEMTemperature method
BOMBiodegradable organic matter
DMDry matter
WWWet weight
OFMSWOrganic fraction of municipal solid waste
QRRecoverable heat
QPHeat production
W Weight
NrHeat recovery efficiency
QLTTotal heat losses
QSSurface heat losses
QinfInfiltration losses
UReciprocal of the sum of thermal resistances (1/R)
RThermal resistance
AArea
T Temperature
VVolume
ACHAir exchanges per hour
SHSpace heating
WHWater heating

References

  1. Global Emissions. Center for Climate and Energy Solutions. Available online: https://www.c2es.org/content/international-emissions/ (accessed on 13 February 2023).
  2. Raupach, M.R.; Marland, G.; Ciais, P.; Le Quéré, C.; Canadell, J.G.; Klepper, G.; Field, C.B. Global and regional drivers of accelerating CO2 emissions. Proc. Natl. Acad. Sci. USA 2007, 104, 10288–10293. [Google Scholar] [CrossRef] [Green Version]
  3. Le Quéré, C.; Raupach, M.R.; Canadell, J.G.; Marland, G.; Bopp, L.; Ciais, P.; Conway, T.J.; Doney, S.C.; Feely, R.A.; Foster, P.; et al. Trends in the sources and sinks of carbon dioxide. Nat. Geosci. 2009, 2, 831–836. [Google Scholar] [CrossRef] [Green Version]
  4. United Nations. “Human Development Index,” United Nations. Available online: https://hdr.undp.org/data-center/human-development-index (accessed on 13 February 2023).
  5. Friedlingstein, P.; Houghton, R.A.; Marland, G.; Hackler, J.; Boden, T.A.; Conway, T.J.; Canadell, J.G.; Raupach, M.R.; Ciais, P.; Le Quéré, C. Update on CO2 emissions. Nat. Geosci. 2010, 3, 811–812. [Google Scholar] [CrossRef]
  6. Friedlingstein, P.; Andrew, R.M.; Rogelj, J.; Peters, G.P.; Canadell, J.G.; Knutti, R.; Luderer, G.; Raupach, M.R.; Schaeffer, M.; van Vuuren, D.P.; et al. Persistent growth of CO2 emissions and implications for reaching climate targets. Nat. Geosci. 2014, 7, 709–715. [Google Scholar] [CrossRef]
  7. Polcyn, J.; Us, Y.; Lyulyov, O.; Pimonenko, T.; Kwilinski, A. Factors Influencing the Renewable Energy Consumption in Selected European Countries. Energies 2021, 15, 108. [Google Scholar] [CrossRef]
  8. IEA. IEA Sankey Diagram. Available online: https://www.iea.org/sankey/#?c=OECD%20TotalJapan&s=Final%20consumption (accessed on 2 December 2022).
  9. Hammons, T. Impact of electric power generation on green house gas emissions in Europe: Russia, Greece, Italy and views of the EU power plant supply industry—A critical analysis. Int. J. Electr. Power Energy Syst. 2006, 28, 548–564. [Google Scholar] [CrossRef]
  10. Adedoyin, F.; Abubakar, I.; Bekun, F.V.; Sarkodie, S.A. Generation of energy and environmental-economic growth consequences: Is there any difference across transition economies? Energy Rep. 2020, 6, 1418–1427. [Google Scholar] [CrossRef]
  11. Carvalho, A.D.; Mendrinos, D.; De Almeida, A.T. Ground source heat pump carbon emissions and primary energy reduction potential for heating in buildings in Europe—Results of a case study in Portugal. Renew. Sustain. Energy Rev. 2015, 45, 755–768. [Google Scholar] [CrossRef]
  12. EU: Carbon Dioxide Emissions by Country 2021 Statista. Available online: https://www.statista.com/statistics/1171389/co2-emissions-european-union/ (accessed on 24 January 2023).
  13. CO2 Emissions (kt)—Denmark|Data. Available online: https://data.worldbank.org/indicator/EN.ATM.CO2E.KT?end=2019&locations=DK&start=1990&view=chart (accessed on 24 January 2023).
  14. Shahzad, M.W.; Burhan, M.; Ang, L.; Ng, K.C. Energy-water-environment nexus underpinning future desalination sustainability. Desalination 2017, 413, 52–64. [Google Scholar] [CrossRef]
  15. New Data Set Reveals the Natural Gas Dependency of Space Heating in Several EU Countries, Fraunhofer Institute for Systems and Innovation Research ISI. Available online: https://www.isi.fraunhofer.de/en/presse/2022/presseinfo-18-erdgas-abhaengigkeit-eu-raumwaerme-sektor-neue-daten.html (accessed on 2 December 2022).
  16. Ernst, A.-A. A review of solid waste management by composting in Europe. Resour. Conserv. Recycl. 1990, 4, 135–149. [Google Scholar] [CrossRef]
  17. Fan, S.; Li, A.; ter Heijne, A.; Buisman, C.J.; Chen, W.-S. Heat potential, generation, recovery and utilization from composting: A review. Resour. Conserv. Recycl. 2021, 175, 105850. [Google Scholar] [CrossRef]
  18. Boniecki, P.; Dach, J.; Mueller, W.; Koszela, K.; Przybyl, J.; Pilarski, K.; Olszewski, T. Neural prediction of heat loss in the pig manure composting process. Appl. Therm. Eng. 2013, 58, 650–655. [Google Scholar] [CrossRef]
  19. Rosso, L.; Lobry, J.; Flandrois, J.-P. An Unexpected Correlation between Cardinal Temperatures of Microbial Growth Highlighted by a New Model. J. Theor. Biol. 1993, 162, 447–463. [Google Scholar] [CrossRef]
  20. Vasiliadou, I.A.; Chowdhury, A.K.M.M.B.; Akratos, C.S.; Tekerlekopoulou, A.G.; Pavlou, S.; Vayenas, D.V. Mathematical modeling of olive mill waste composting process. Waste Manag. 2015, 43, 61–71. [Google Scholar] [CrossRef]
  21. Taeporamaysamai, O.; Ratanatamskul, C. Co-composting of various organic substrates from municipal solid waste using an on-site prototype vermicomposting reactor. Int. Biodeterior. Biodegrad. 2016, 113, 357–366. [Google Scholar] [CrossRef]
  22. Robinzon, R.; Kimmel, E.; Avnimelech, Y. Energy and mass balances of windrow composting system. Trans. Am. Soc. Agric. Eng. 2000, 43, 1253–1259. [Google Scholar] [CrossRef]
  23. Lemus, G.R.; Lau, A.K. Biodegradation of lipidic compounds in synthetic food wastes during composting. Can. Biosyst. Eng. 2002, 44, 6.33–6.36. [Google Scholar]
  24. de Guardia, A.; Petiot, C.; Benoist, J.; Druilhe, C. Characterization and modelling of the heat transfers in a pilot-scale reactor during composting under forced aeration. Waste Manag. 2012, 32, 1091–1105. [Google Scholar] [CrossRef]
  25. Neugebauer, M. The use of biological waste as a source of low-temperature heat for hotbeds in spring in north-eastern Poland. J. Environ. Manag. 2018, 225, 133–138. [Google Scholar] [CrossRef]
  26. Yeh, C.K.; Lin, C.; Shen, H.C.; Cheruiyot, N.K.; Camarillo, M.E.; Wang, C.L. Optimizing Food Waste Composting Parameters and Evaluating Heat Generation. Appl. Sci. 2020, 10, 2284. [Google Scholar] [CrossRef] [Green Version]
  27. Viel, M.; Sayag, D.; Peyre, A.; André, L. Optimization of In-vessel Co-composting through heat recovery. Biol. Wastes 1987, 20, 167–185. [Google Scholar] [CrossRef]
  28. Kimman, N. Modeling of a Heating System equipped with a Biomeiler and a Heat Pump; Technical University Delft, 28 May 2019; Available online: https://biomeiler.nl/model-for-a-heating-system-equipped-with-a-biomeiler-and-a-heat-pump/ (accessed on 19 February 2023).
  29. Bajko, J.; Fišer, J.; Jicha, M. Temperature measurement and performance assessment of the experimental composting bioreactor. EPJ Web Conf. 2018, 180, 02003. [Google Scholar] [CrossRef]
  30. Rada, E.C.; Ragazzi, M.; Villotti, S.; Torretta, V. Sewage sludge drying by energy recovery from OFMSW composting: Preliminary feasibility evaluation. Waste Manag. 2014, 34, 859–866. [Google Scholar] [CrossRef]
  31. Bajko, J.; Fišer, J.; Jícha, M. Condenser-Type Heat Exchanger for Compost Heat Recovery Systems. Energies 2019, 12, 1583. [Google Scholar] [CrossRef] [Green Version]
  32. Smith, M.M.; Aber, J.D. Energy recovery from commercial-scale composting as a novel waste management strategy. Appl. Energy 2018, 211, 194–199. [Google Scholar] [CrossRef]
  33. Di Maria, F.; Benavoli, M.; Zoppitelli, M. Thermodynamic analysis of the energy recovery from the aerobic bioconversion of solid urban waste organic fraction. Waste Manag. 2008, 28, 805–812. [Google Scholar] [CrossRef]
  34. Micale, C. Energy Recovery from Heat Produced During Aerobic Treatment Of Organic Waste Through Exploitation By Micro Organic Rankine Cycle (ORC). In Proceedings of the 2nd Interantional Conference on Sustainable Solid Waste Management, Greece, Athens, 12–14 June 2014; Available online: https://www.athens2014.biowaste.gr/pdf/Micale.pdf (accessed on 19 February 2023).
  35. Di Maria, F.; Micale, C.; Sordi, A. Electrical energy production from the integrated aerobic-anaerobic treatment of organic waste by ORC. Renew. Energy 2014, 66, 461–467. [Google Scholar] [CrossRef]
  36. Di Maria, F.; Postrioti, L.; Micale, C.; Sordi, A.; Marconi, M. Energy Recovery from Low Temperature Heat Produced During Aerobic Biological Treatment. Energy Procedia 2014, 45, 81–90. [Google Scholar] [CrossRef] [Green Version]
  37. Scopus. Scopus–Document Search. Available online: https://www.scopus.com/search/form.uri?display=basic (accessed on 30 October 2020).
  38. Welcome to Python.org, Python.org. Available online: https://www.python.org/ (accessed on 3 April 2022).
  39. Sailer, G.; Eichermüller, J.; Poetsch, J.; Paczkowski, S.; Pelz, S.; Oechsner, H.; Müller, J. Dataset for a full-year time series characterization of separately collected organic fraction of municipal solid waste from rural and urban regions in Germany. Data Brief 2021, 39, 107543. [Google Scholar] [CrossRef]
  40. Walther, E.; Ferrier, R.; Bennacer, R.; De Sa, C.; Thierry, E. Heat recovery in compost piles for building applications. Therm. Sci. 2017, 21, 775–784. [Google Scholar] [CrossRef]
  41. Warmup Inc. How to Calculate Heat Loss in a House. 15 July 2021. Available online: https://www.warmup.com/blog/how-to-calculate-heat-loss (accessed on 2 December 2022).
  42. Heat Loss Due to Infiltration using the Air-Change Method. University of Texas at Austin. Available online: https://soa.utexas.edu/heat-loss-due-infiltration-using-air-change-method (accessed on 11 October 2022).
  43. Denmark: Households by Household Size 2022, Statista. Available online: https://www.statista.com/statistics/582641/households-by-household-size-in-denmark/ (accessed on 14 December 2022).
  44. Esri. Average Household Size in Greece—Overview. Available online: https://www.arcgis.com/home/item.html?id=a417a0f129934c51b904581f2aafb0cc (accessed on 14 December 2022).
  45. Sas, A. Poland: Number of Persons in Household 2020, Statista. Available online: https://www.statista.com/statistics/1007214/poland-number-of-persons-in-household/ (accessed on 14 December 2022).
  46. CEIC. Switzerland|Average Household Size|CEIC. Available online: https://www.ceicdata.com/en/switzerland/average-household-size (accessed on 14 December 2022).
  47. What is a U-value? Heat Loss, Thermal Mass and Online Calculators Explained, NBS. Available online: https://www.thenbs.com/knowledge/what-is-a-u-value-heat-loss-thermal-mass-and-online-calculators-explained (accessed on 24 January 2023).
  48. Horschler, S. WÄRMESCHUTZ—DIE NEUE DIN 4108 BBL 2. Buro Fur Bauphysik. 2019. Available online: https://www.lebensraum-ziegel.de/fileadmin/user_upload/Dokumente/Downloads/04_Horschler_Mauerwerkstag-Stuttgart_2019.pdf (accessed on 19 February 2023).
  49. Air Change Rates in typical Rooms and Buildings. Available online: https://www.engineeringtoolbox.com/air-change-rate-room-d_867.html (accessed on 24 January 2023).
  50. Younes, C.; Shdid, C.A.; Bitsuamlak, G. Air infiltration through building envelopes: A review. J. Build. Phys. 2011, 35, 267–302. [Google Scholar] [CrossRef]
  51. HISS REET GmbH. Insulation of Exterior Walls. Available online: https://www.hiss-reet.de/en/building-material/insulation/insulation-of-exterior-walls (accessed on 2 December 2022).
  52. National Centers for Environmental Information (NCEI). Available online: https://www.ncei.noaa.gov/ (accessed on 2 December 2022).
  53. World Bank Climate Change Knowledge Portal. Available online: https://climateknowledgeportal.worldbank.org/ (accessed on 2 December 2022).
  54. Climate & Weather Averages in Zürich, Zurich, Switzerland. Available online: https://www.timeanddate.com/weather/switzerland/zurich/climate (accessed on 2 December 2022).
  55. Greece Weather & Climate—Athens Weather Forecast. Available online: https://www.travelonline.com/greece/weather-climate.html (accessed on 2 December 2022).
  56. Balaras, C.A.; Droutsa, K.; Dascalaki, E.; Kontoyiannidis, S. Heating energy consumption and resulting environmental impact of European apartment buildings. Energy Build. 2005, 37, 429–442. [Google Scholar] [CrossRef]
  57. Eriksson, O.; Finnveden, G.; Ekvall, T.; Björklund, A. Life cycle assessment of fuels for district heating: A comparison of waste incineration, biomass- and natural gas combustion. Energy Policy 2007, 35, 1346–1362. [Google Scholar] [CrossRef]
  58. Björklund, A.; Johansson, J.; Nilson, M.; Eldh, P.; Finnveden, G. Environmental Assessment of a Waste Incineration Tax. case study and evaluation of a framework for strategic environmental assessment., FOI-Swedish Defence Research Agency, Sep. 2003. Available online: https://www.sei.org/publications/environmental-assessment-waste-incineration-tax-case-study-evaluation-framework-strategic-environmental-assessment/ (accessed on 15 December 2022).
  59. Uppenberg, S.; Brandel, M.; Lindfors, L.-G.; Marcus, H.-O.; Wachtmeister, A.; Zetterberg, L. Miljöfaktabok för Bränslen Del 2. Bakgrundsinformation Och Teknisk Bilaga; IVL report B 1334 B; Swedish Environmental Research Institute (IVL): Stockholm, Sweden, 1999. [Google Scholar]
Figure 1. Carbon dioxide emissions for Denmark, Greece, Poland, and Switzerland for the years 2000, 2010, and 2021. Based on data from [12,13].
Figure 1. Carbon dioxide emissions for Denmark, Greece, Poland, and Switzerland for the years 2000, 2010, and 2021. Based on data from [12,13].
Sustainability 15 04006 g001
Figure 2. Space (outer circle) and water (inner circle) heating final energy source for (a) Denmark, (b) Greece, (c) Poland, and (d) Switzerland. Data used for the graphs from [15].
Figure 2. Space (outer circle) and water (inner circle) heating final energy source for (a) Denmark, (b) Greece, (c) Poland, and (d) Switzerland. Data used for the graphs from [15].
Sustainability 15 04006 g002
Figure 3. (a) Research interest. (b) Most-mentioned keywords.
Figure 3. (a) Research interest. (b) Most-mentioned keywords.
Sustainability 15 04006 g003
Figure 4. Recoverable heat from composting organic waste produced by one person.
Figure 4. Recoverable heat from composting organic waste produced by one person.
Sustainability 15 04006 g004
Figure 5. Space heating demand and recoverable heat from composting organic waste produced by one person.
Figure 5. Space heating demand and recoverable heat from composting organic waste produced by one person.
Sustainability 15 04006 g005
Figure 6. (a) Water heating demand and recoverable heat from composting organic waste produced by one person. (b) Monthly percentage of coverage from composting heat produced by the average household size in each country.
Figure 6. (a) Water heating demand and recoverable heat from composting organic waste produced by one person. (b) Monthly percentage of coverage from composting heat produced by the average household size in each country.
Sustainability 15 04006 g006
Figure 7. (a) Water heating demand soft trend and recoverable heat from composting from organic waste produced by one person. (b) Monthly percentage of coverage from composting heat produced by the average-sized household in each country.
Figure 7. (a) Water heating demand soft trend and recoverable heat from composting from organic waste produced by one person. (b) Monthly percentage of coverage from composting heat produced by the average-sized household in each country.
Sustainability 15 04006 g007
Table 1. Final energy consumption in Mtoe of Denmark for the year 2020 [8].
Table 1. Final energy consumption in Mtoe of Denmark for the year 2020 [8].
(Mtoe)IndustryTransportResidentialOtherNon-Energy Use
Oil00000
Oil products0.453.630.180.460.22
Coal0.10000
Natural gas0.670.010.590.240
Biofuels and waste0.20.240.790.110
Electricity0.740.040.940.960
Heat0.0901.580.770
Solar/tide/wind
Geothermal
000.0100
Table 2. Final energy consumption in Mtoe of Greece for the year 2020 [8].
Table 2. Final energy consumption in Mtoe of Greece for the year 2020 [8].
(Mtoe)IndustryTransportResidentialOtherNon-Energy Use
Oil00000
Oil products0.694.911.290.460.45
Coal0.160000
Natural gas0.50.020.440.140.38
Biofuels and waste0.160.20.640.050
Electricity1.020.021.51.550
Heat000.0500
Solar/tide/wind000.280.010
Geothermal0000.010
Table 3. Final energy consumption in Mtoe of Poland for the year 2020 [8].
Table 3. Final energy consumption in Mtoe of Poland for the year 2020 [8].
(Mtoe)IndustryTransportResidentialOtherNon-Energy Use
Oil00000
Oil products0.8520.080.622.763.74
Coal2.8705.21.280.1
Natural gas3.860.353.841.192.05
Biofuels and waste2.811.044.850.770
Electricity4.750.272.584.20
Heat0.8603.641.140
Solar/tide/wind000.070.010
Geothermal000.020.010
Table 4. Final energy consumption in Mtoe of Switzerland for the year 2020 [8].
Table 4. Final energy consumption in Mtoe of Switzerland for the year 2020 [8].
(Mtoe)IndustryTransportResidentialOtherNon-Energy Use
Oil00000
Oil products0.234.781.410.770.43
Coal0.090000
Natural gas0.910.031.130.630
Biofuels and waste0.490.180.460.290
Electricity1.430.241.661.460
Heat0.1700.20.140
Solar/tide/wind000.050.010
Geothermal00000
Table 5. Heat production from composting using different substrates. Table adapted from [17].
Table 5. Heat production from composting using different substrates. Table adapted from [17].
SubstrateHeat ProductionMethodReference
OFMSW0.75 kWh/kg BOMDD[22]
Food waste, wood waste0.74–1.19 kWh/kg BOMDD and HB[23]
Food waste, wood chips1.19 kWh/kg DMOC[24]
Kitchen waste, garden waste0.39 kWh/kg WWHB[25]
Food waste, saw dust, manure compost0.83 kWh/kg WWTEM[26]
Note: OFMSW refers to the organic fraction of municipal solid waste.
Table 6. Composting heat recovery from substrates representative of or similar to the residential sector. Table adapted from [17].
Table 6. Composting heat recovery from substrates representative of or similar to the residential sector. Table adapted from [17].
SubstrateHeat Recovery (kWh th/kg)Reference
Sludge, fat, poplar, sawdust0.22[27]
Wood1.18[28]
Wood chips, horse manure, vegetable waste, and leaves0.45–0.62[29]
Food waste, green waste0.30[30]
Wood chips, horse manure, fresh grass, leaves, matured compost0.14[31]
Cow manure, horse manure/bedding mix, waste hay0.13–0.24[32]
Food waste, yard waste, mixed paper1.11–1.38[33]
OFMSW0.61[34]
Fruit waste, meat waste, paper and yard waste0.05–1.25[35]
Municipal waste0.45–0.6[36]
Note: OFMSW refers to the organic fraction of municipal solid waste.
Table 7. Monthly production of OFMSW per person [39].
Table 7. Monthly production of OFMSW per person [39].
OFMSW Kg/Person
January3.30
February2.76
March3.21
April3.49
May3.67
June4.44
July4.25
August4.13
September3.08
October3.80
November3.61
December3.14
Table 8. Average household size in countries studied.
Table 8. Average household size in countries studied.
CountryAverage Household SizeReference
Denmark2.09[43]
Greece2.6[44]
Poland2.48[45]
Switzerland2.202[46]
Table 11. Heating demand and space heating to water heating ratio [15,56].
Table 11. Heating demand and space heating to water heating ratio [15,56].
CountrySH + WH SH to WH RatioAv. Floor Space (Single Family)
[56] [15][15]
Denmark144.1kWh/m2 yr93%170 [m²/dwell.]
Greece108.4kWh/m2 yr84%53.49 [m²/dwell.]
Poland261.1kWh/m2 yr93%122.02 [m²/dwell.]
Switzerland172kWh/m2 yr90%142.40 [m²/dwell.]
Table 12. Theoretical heat recovery from modeled heat production from waste produced by one person.
Table 12. Theoretical heat recovery from modeled heat production from waste produced by one person.
JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
Sludge, fat, poplar, sawdust0.730.610.710.770.810.980.930.910.680.840.790.69
Wood3.893.263.794.124.335.245.014.883.644.494.263.71
Wood chips, horse manure, vegetable waste, and leaves1.481.241.441.571.652.001.911.861.391.711.621.41
Food waste, green waste0.990.830.961.051.101.331.271.240.921.141.080.94
Wood chips, horse manure, fresh grass, leaves, matured compost0.460.390.450.490.510.620.590.580.430.530.510.44
Cow manure, horse manure/bedding mix, waste hay0.430.360.420.450.480.580.550.540.400.490.470.41
OFMSW2.011.691.962.132.242.712.592.521.882.322.201.92
Food waste, yard waste, mixed paper3.663.073.563.884.074.934.714.593.424.224.013.49
Fruit waste, meat waste, paper, and yard waste0.160.140.160.170.180.220.210.210.150.190.180.16
Municipal waste1.481.241.441.571.652.001.911.861.391.711.621.41
Table 13. Carbon dioxide avoided from using composting heat instead of different fossil fuels for each study region.
Table 13. Carbon dioxide avoided from using composting heat instead of different fossil fuels for each study region.
CountryNatural Gas
(Ton CO2eq)
Oil Condensate
(Ton CO2eq)
Coal Condensate
(Ton CO2eq)
Denmark5.3007.19918.635
Greece6.5948.95623.182
Poland6.2908.54222.112
Switzerland5.5847.58519.634
Note: CO2eq refers to carbon dioxide equivalent.
Table 14. Tons of CO2 avoided if all the fossil-based residential heating was replaced with renewable energy base heat.
Table 14. Tons of CO2 avoided if all the fossil-based residential heating was replaced with renewable energy base heat.
SHDenmarkGreecePolandSwitzerland
Coal4205283917,8024692
Oil12,538846653,08713,992
Nat. Gas25,92217,503109,75528,927
Total42,66428,808180,64447,610
WHDenmarkGreecePolandSwitzerland
Coal1094231351191916
Oil1193252355832090
Nat. Gas2493527011,6624366
Total478010,10722,3648372
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sessa, V.; Bhandari, R. Composting Heat Recovery for Residential Consumption: An Assessment of Viability. Sustainability 2023, 15, 4006. https://doi.org/10.3390/su15054006

AMA Style

Sessa V, Bhandari R. Composting Heat Recovery for Residential Consumption: An Assessment of Viability. Sustainability. 2023; 15(5):4006. https://doi.org/10.3390/su15054006

Chicago/Turabian Style

Sessa, Vittorio, and Ramchandra Bhandari. 2023. "Composting Heat Recovery for Residential Consumption: An Assessment of Viability" Sustainability 15, no. 5: 4006. https://doi.org/10.3390/su15054006

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop