Significance and Vision of Nutrient Recovery for Sustainable City Food Systems in Germany by 2050
Abstract
:1. Introduction
2. Methodology
3. Key Elements and Enabling Technologies Based on the SUSKULT Vision of a Circular Food Supply in Urban Areas
3.1. Analysis of Urban Resource Potential
3.2. Cultivation Systems and Crop Varieties for Circular Food Supply in Urban Areas
- Use of the total biomass produced;
- Increase of valuable plants substances (primary and secondary plant constituents);
- Process engineering approaches (production system);
- A regionally differentiated or usage related species and varieties selection.
3.2.1. Tomatoes (Solanum lycopersicum)
3.2.2. Duckweed (Lemna and Wolffiella)
3.2.3. Sweet Potato (Ipomoea batatas)
3.3. Consumer Demands and Perceptions of the SUSKULT Vision
3.3.1. Consumer Awareness and Information Demands Regarding SUSKULT
- (1)
- Food security of vegetables cultivated in SUSKULT,
- (2)
- Nutritional value of vegetables cultivated in SUSKULT,
- (3)
- Sustainability of the SUSKULT approach compared to conventional agricultural cultivation systems,
- (4)
- Energy consumption and energy costs of the SUSKULT approach,
- (5)
- Consumers prices regarding final SUSKULT products,
- (6)
- Interaction of the SUSKULT approach with established agricultural production and distribution systems,
- (7)
- Impact of the SUSKULT approach on farmers near to SUSKULT cultivation systems.
3.3.2. Risk Assessment and Transparency Related to SUSKULT
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Material Flow/Process | Assumptions and Calculation Methods |
---|---|
Raw wastewater | |
Nutrient loads: | N = 8.8 g/(PE∙d) [38,39] **; xN = 1.9 g/(PE∙d) calculated according to [40,41]; P = 1.4 g/(PE∙d) [38,39] **; sP = 2/3∙P [42]; K = 4.9 g/(PE∙d) [43]; sK = 0.975∙K [44] |
Volume flows: | Q = 175 L/(PE∙d) [41]; QDW = 130 L/(PE∙d); [45]; QHW = 0.3∙Qdw [42] |
Further parameters: | COD = 96 g/(PE∙d) [38,39] **; xCOD = 62.7 g/(PE∙d) calculated according to [41] with 1,6 gCOD/gVS; TS= 56 g/(PE∙d) [38,39]; VS = 0.7∙TS |
Primary clarifier | |
Clarifier: | Separation efficiency according to [41] with τ = 1 h: ηN = 10%; ηP = 10%; ηTS = 50%; ηCOD = 30%; ηxCOD = 45%, K no enhanced separation assumed |
Sludge parameters: | TS = 4% [39]; VS = 0.75∙TS [39]; RBS = 0.7∙VS [39] |
Biological Treatment (denitrification, nitrification, phosphorous removal, secondary clarifier) | |
Biological process: | Calculation for COD, N, P, TS, vs. according to [41] with Tdesign = 12 °C; SRT = 15 d and average influence factors; xKBM = 0.3∙PBM [46] |
Effluent: | sNinorg = 6.5 mg/L; sP= 0.5 mg/L dissolved effluent concentrations of N and P were assumed 50% of permissible emission standards in Germany for a WWTP > 6.000 kg BOD5/d; Norg = 2 mg/L [41]; TS= 12 mg/L [41,47] |
Waste-activated sludge parameters: | TS= 0.7% [39]; RBS = 0.45∙VS [39] |
Sludge thickener | TS = 5% [39]; TS separation efficiency 90% [48] |
Digestion | |
Gas production: | T = 37 °C [39]; SRT = 20 d [39]; degradable rate of RBS = 85% [39]; gas yield primary sludge = 0.95 m3 i.s.s./kg [39]; gas yield waste-activated sludge = 0.85 m3 i.s.s./kg [39]; digester gas composition: 1/3 CO2 and 2/3 CH4 [39] |
Dissolution: | Calculation of N, P and K dissolution according to [49]; assumed P refixation with xP = 0.95∙P [50] |
Dewatering | Centrifuge assumed: separation efficiency 98% [51,52]; TS = 26% [51] |
Heat usage | |
Water temperature: | Calculation according to [42] with THW = 35 °C [42]; TPW= 10 °C [42]; TIW= 10 °C [42]; no heat loss assumed; |
Usable heat: | calculation according to [53] with Tmin in effluent = 5 °C and Tmin previous to biological treatment = Tdesign; no heat usage in sludge treatment previous to digester assumed |
CO2 1 | N 1 | xN 1 | sN 1 | P 1 | xP 1 | sP 1 | K 1 | xK 1 | sK 1 | Q 2 | W 3 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0.0 | 8.8 | 1.9 | 6.9 | 1.4 | 0.5 | 1.0 | 4.9 | 0.1 | 4.8 | 175 | 725 |
2 | 0.0 | 7.9 | 1.0 | 6.9 | 1.3 | 0.3 | 1.0 | 4.9 | 0.1 | 4.8 | 174 | 722 |
3 | 0.0 | 9.0 | 1.3 | 7.8 | 1.6 | 0.5 | 1.0 | 5.1 | 0.1 | 5.0 | 180 | 746 |
4 | 0,.0 | 1.5 | 0.0 | 1.5 | 0.1 | 0.0 | 0.1 | 4.8 | 0.0 | 4.8 | 175 | 2146 |
5 4 | 58.0 | 6.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 |
6 | 0.0 | 0.9 | 0.9 | 0.0 | 0.1 | 0.1 | 0.0 | 0.1 | 0.1 | 0.0 | 1 | 0 |
7 | 0.0 | 1.3 | 1.3 | 0.0 | 1.5 | 1.5 | 0.0 | 0.3 | 0.2 | 0.1 | 5 | 0 |
8 | 0.0 | 2.2 | 2.1 | 0.1 | 1.6 | 1.6 | 0.0 | 0.4 | 0.2 | 0.2 | 6 | 0 |
9 | 0.0 | 1.9 | 1.9 | 0.0 | 1.4 | 1.4 | 0.0 | 0.2 | 0.2 | 0.0 | 1 | 0 |
10 | 0.0 | 1.9 | 1.0 | 0.9 | 1.4 | 1.2 | 0.3 | 0.2 | 0.1 | 0.1 | 1 | 32 |
11 | 0.0 | 1.1 | 1.0 | 0.1 | 1.3 | 1.3 | 0.0 | 0.1 | 0.1 | 0.0 | 0 | 5 |
12 | 0.0 | 0.3 | 0.2 | 0.1 | 0.2 | 0.2 | 0.0 | 0.2 | 0.0 | 0.1 | 5 | 19 |
13 | 0.0 | 0.8 | 0.0 | 0.8 | 0.1 | 0.0 | 0.1 | 0.1 | 0.0 | 0.1 | 1 | 34 |
14 | 0.0 | 1.1 | 0.2 | 0.9 | 0.3 | 0.2 | 0.1 | 0.3 | 0.0 | 0.2 | 6 | 53 |
15 4 | 11.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 |
Date | Type of Survey | Tool | Real-Time Interaction between Researchers and Stakeholders | Format | Participants | Sample (n) |
---|---|---|---|---|---|---|
2–16 September 2019 | stakeholder survey | Lime Survey | / | online | internal and external stakeholders | 29 |
10 December 2019 | student survey | written survey | √ | on-site | students from Justus Liebig-University Giessen | 75 |
September 2019 March 2020 | five expert interviews | semi-structured interview | √ | on-site and by telephone | representatives from the public sector and private companies | 5 |
September 2020 | stakeholder survey | / | online | Twitter users | 526 | |
12 September 2020 | stakeholder survey | Mentimeter | √ | on-site | audience of a public panel discussion | 17 |
11 November 2020 | student survey | Sli.do | √ | online | students from Justus Liebig University Gießen | 143 |
26 November–3 December 2020 | student survey | Lime Survey | / | online | students from Bauhaus-Universität Weimar | 18 |
17 December 2020 | stakeholder discussion | group discussion | √ | online | students from Bauhaus-Universität Weimar | 43 |
4 December 2020 | three integrated stakeholder workshops | group discussion | √ | online | internal and external stakeholders | 39 |
2 July 2021 | focus group workshop | group discussion | √ | online | internal and external stakeholders from the food retailing and agricultural sectors | 19 |
914 |
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Keuter, V.; Deck, S.; Giesenkamp, H.; Gonglach, D.; Katayama, V.T.; Liesegang, S.; Petersen, F.; Schwindenhammer, S.; Steinmetz, H.; Ulbrich, A. Significance and Vision of Nutrient Recovery for Sustainable City Food Systems in Germany by 2050. Sustainability 2021, 13, 10772. https://doi.org/10.3390/su131910772
Keuter V, Deck S, Giesenkamp H, Gonglach D, Katayama VT, Liesegang S, Petersen F, Schwindenhammer S, Steinmetz H, Ulbrich A. Significance and Vision of Nutrient Recovery for Sustainable City Food Systems in Germany by 2050. Sustainability. 2021; 13(19):10772. https://doi.org/10.3390/su131910772
Chicago/Turabian StyleKeuter, Volkmar, Sebastian Deck, Heidi Giesenkamp, Denise Gonglach, Victor Takazi Katayama, Sica Liesegang, Finn Petersen, Sandra Schwindenhammer, Heidrun Steinmetz, and Andreas Ulbrich. 2021. "Significance and Vision of Nutrient Recovery for Sustainable City Food Systems in Germany by 2050" Sustainability 13, no. 19: 10772. https://doi.org/10.3390/su131910772
APA StyleKeuter, V., Deck, S., Giesenkamp, H., Gonglach, D., Katayama, V. T., Liesegang, S., Petersen, F., Schwindenhammer, S., Steinmetz, H., & Ulbrich, A. (2021). Significance and Vision of Nutrient Recovery for Sustainable City Food Systems in Germany by 2050. Sustainability, 13(19), 10772. https://doi.org/10.3390/su131910772