This research determines the potential impact of reducing food waste on future energy consumption and pollutant emissions. The study uses system dynamics modelling to simulate the complex link between population, food demand, food waste output and their interactions with energy consumption in the food system and carbon dioxide (CO2) emissions. Scenarios are developed by considering two elements: a reduction in food waste and an increase in energy output. Based on a case study of Delhi, food demand and energy consumption are expected to rise by 6% and 35% every year, respectively, from 2023 to 2033. The model predicts that a 20% reduction in food waste, combined with a 20% increase in energy efficiency, could reduce CO2 emissions by 23.17% by 2033. The combination scenario proved to be the most efficient in reducing carbon emissions and energy consumption. This significant reduction in emissions highlights the potential of integrated food waste and energy management strategies in mitigating environmental impact.
AdelodunBAgbelusiOOSomaT, et al. (2024) Rethinking food loss and waste to promote sustainable resource use and climate change mitigation in agri-food systems: A review. Waste Management & Research. Epub ahead of print 30 July 2024. DOI: 10.1177/0734242X241257655.
2.
AkadiriSSAlolaAABekunFV, et al. (2020) Does electricity consumption and globalization increase pollutant emissions? Implications for environmental sustainability target for China. Environmental Science and Pollution Research27: 25450–25460.
3.
AliNESionHC (2014) Solid waste management in Asian countries: A review of solid waste minimisation (3r) towards low carbon. IOP Conference Series: Earth and Environmental Science18: 12152.
4.
AndreyevaTLongMWBrownellKD (2010) The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food. American Journal of Public Health100: 216–222.
5.
ArañaJELeónCJ (2013) Can defaults save the climate? Evidence from a field experiment on carbon offsetting programs. Environmental and Resource Economics54: 613–626.
6.
BabalolaMA (2019) A system dynamics-based approach to help understand the role of food and biodegradable waste management in respect of municipal waste management systems. Sustainability11: 3456.
7.
BarlasY (1989) Multiple tests for validation of system dynamics type of simulation models. European Journal of Operational Research42: 59–87.
8.
Berrio-GiraldoLVillegas-PalacioCArango-AramburoS (2021) Understating complex interactions in socio-ecological systems using system dynamics: A case in the tropical Andes. Journal of Environmental Management291: 112675.
9.
Bhakta SharmaHPanigrahiSDubeyBK (2021) Food waste hydrothermal carbonization: Study on the effects of reaction severities, pelletization and framework development using approaches of the circular economy. Bioresource Technology333: 125187.
10.
BreukelmanHKrikkeHLöhrA (2022) Root causes of underperforming urban waste services in developing countries: Designing a diagnostic tool, based on literature review and qualitative system dynamics. Waste Management & Research40: 1337–1355.
11.
BureauJ-CAntónJ (2022) Agricultural Total Factor Productivity and the Environment: A Guide to Emerging Best Practices in Measurement. Paris: OECD Publishing.
12.
Bureau of Energy Efficiency (2022) Energising India Sustainability. New Delhi: Bureau of Energy Efficiency.
13.
Castro-AmoedoRDahmenABarbosa-PovoaA, et al. (2021) Network design optimization of waste management systems: The case of plastics. Computer Aided Chemical Engineering50: 185–190.
14.
Central Electricity Authority M of PI (2023) CO2 Baseline Database for the Indian Power Sector. New Delhi: CEA.
15.
de Almeida OroskiFda SilvaJM (2022) Understanding food waste-reducing platforms: A mini-review. Waste Management & Research41: 816–827.
16.
Department of Economic and Social Affairs (2023) The Sustainable Development Goals: Special Edition – Towards a Rescue Plan for People and Planet. United Nations.
17.
DingRChenSZhangB, et al. (2022) The reduce of energy consumption intensity: Does the development of science and technology finance matter? Evidence from China. Energy Reports8: 11206–11220.
18.
EconomouFChatziparaskevaGPapamichaelI, et al. (2024) The concept of food waste and food loss prevention and measuring tools. Waste Management & Research42: 651–669.
19.
FengYYChenSQZhangLX (2013) System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China. Ecological Modelling252: 44–52.
GiannisAChenMYinK, et al. (2017) Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore. Journal of Material Cycles and Waste Management19: 1177–1185.
23.
GirottoFPiazzaL (2022) Food waste bioconversion into new food: A mini-review on nutrients circularity in the production of mushrooms, microalgae and insects. Waste Management & Research40: 47–53.
24.
GyamfiBABeinMAAdedoyinFF, et al. (2022) To what extent are pollutant emission intensified by international tourist arrivals? Starling evidence from G7 Countries. Environment, Development and Sustainability24: 7896–7917.
25.
HendryDFPretisF (2023) Analysing differences between scenarios. International Journal of Forecasting39: 754–771.
26.
IEA (2021) India Energy Outlook 2021 World Energy Outlook Special Report. Available at: www.iea.org/t&c/ (accessed 23 August 2023).
27.
InghelsDDullaertW (2010) An analysis of household waste management policy using system dynamics modelling. Waste Management & Research29: 351–370.
JinLDuanKTangX (2018) What is the relationship between technological innovation and energy consumption? Empirical analysis based on provincial panel data from China. Sustainability10: 145.
31.
KalaKBoliaN (2021) Analysis of citizen’s perception towards segregation and composting. Environment, Development and Sustainability23: 1–24. https://doi.org/10.1007/s10668-020-01084-3
32.
KalaKBoliaNB (2024) Empowering the informal sector in urban waste management: Towards a comprehensive waste management policy for India. Environmental Development49: 2211–4645. https://doi.org/10.1016/j.envdev.2024.100968
33.
KalaKBoliaNBSushil (2022) Analysis of informal waste management using system dynamic modelling. Heliyon8: e09993.
34.
KoladyDESrivastavaSKJustD, et al. (2021) Food away from home and the reversal of the calorie intake decline in India. Food Security13: 369–384.
35.
KumarASharmaAKYadavRK, et al. (2023) Agricultural Statistics at a Glance 2022. New Delhi. Available at: https://agricoop.nic.in/ (accessed 18 August 2023).
36.
KumarDKalitaP (2017) Reducing postharvest losses during storage of grain crops to strengthen food security in developing countries. Foods6: 1–22.
37.
Ladha-SaburABakalisSFryerPJ, et al. (2019) Mapping energy consumption in food manufacturing. Trends in Food Science & Technology86: 270–280.
38.
LeeCKMNgKKHKwongCK, et al. (2019) A system dynamics model for evaluating food waste management in Hong Kong, China. Journal of Material Cycles and Waste Management21: 433–456.
39.
LiGChenXYouXY (2023) System dynamics prediction and development path optimization of regional carbon emissions: A case study of Tianjin. Renewable and Sustainable Energy Reviews184: 113579.
40.
LinGPalopoliMDadwalV (2020) From causal loop diagrams to system dynamics models in a data-rich ecosystem. In: AnthonyCLMajumderMSOrdóñezP, et al. (ed.) Leveraging Data Science for Global Health. Cham: Springer International Publishing, pp.77–98.
41.
LiuYHuangTPengD, et al. (2020) Optimizing the co-digestion supply chain of sewage sludge and food waste by the demand oriented biogas supplying mechanism. Waste Management & Research39: 302–313.
MiaoZChenXBaležentisT (2021) Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition. Applied Energy283: 116296.
44.
MobaseriMMousaviSNHaghighiMHM (2021) Environmental effects of food waste reduction using system dynamics approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects : 1–19.
45.
МoxobВDemyanenkoTDemyanenkoKV (2017) Analysis of formalized methods for forecasting the volume of electricity consumption. Journal of Computational and Engineering Mathematics4: 3–14.
46.
PandeyBRebaMJoshiP K, et al. (2020) Urbanization and food consumption in India. Scientific Reports10: 17241.
47.
PatelSDoraMHahladakisJN, et al. (2021) Opportunities, challenges and trade-offs with decreasing avoidable food waste in the UK. Waste Management & Research39: 473–488.
48.
PazJBenavidesHAriasJ (2009) Measuring agricultural GDP: A technical note. COMUNIICA 5.
49.
PelletierNAudsleyEBrodtS, et al. (2011) Energy intensity of agriculture and food systems. Annual Review of Environment and Resources36: 223–246.
50.
PooreJNemecekT (2018) Reducing food’s environmental impacts through producers and consumers. Science360: 987–992.
51.
RamK (2017) Explaining calorie consumption puzzle in India: An empirical study based on national and international data-sets since 1990s. Social Scientist45: 35–53.
SagiVGokarnS (2023) Determinants of reduction of food loss and waste in Indian agri-food supply chains for ensuring food security: A multi-stakeholder perspective. Waste Management & Research41: 575–584.
56.
SaudiMHMSinagaORoespinoedjiD, et al. (2019) The impact of technological innovation on energy intensity: Evidence from Indonesia. International Journal of Energy Economics and Policy9: 11–17.
ShabirIDashKKDarAH, et al. (2023) Carbon footprints evaluation for sustainable food processing system development: A comprehensive review. Future Foods7: 100215.
Statistic Division (2023) SDG Indicators, Global indicator framework for the Sustainable Development Goals and targets of the 2030 Agenda for Sustainable Development. Available at: https://unstats.un.org/sdgs/indicators/indicators-list/ (accessed 26 August 2023).
61.
StermanJ (2000) Business Dynamics, System Thinking and Modeling for a Complex World. Boston: Irwin McGraw-Hill.
62.
SunTZhangTTengY, et al. (2019) Monthly electricity consumption forecasting method based on X12 and STL decomposition model in an integrated energy system. Mathematical Problems in Engineering, 2019: 9012543. https://doi.org/10.1155/2019/9012543
van DijkMMorleyTRauML, et al. (2021) A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050. Nature Food2: 494–501.
66.
WeiTWuJChenS (2021) Keeping track of greenhouse gas emission reduction progress and targets in 167 cities worldwide. Frontiers in Sustainable Cities3: 696381.
67.
YuYShiJ (2022) Environmental regulation, low-carbon technology progress and energy efficiency. Frontiers in Environmental Science10: 1012229.
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