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• 2021-2025close
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This Milestone, namely M3.3, is part of Task 3.3 “Downscaling of future climate projections at the case-study scale and their transfer to the Partners”. The aim of M3.3 is to outline the results of the climate change evaluation over the investigated pilot sites. For the future projections of the climate variables (precipitation and temperature), the data provided by EURO-CORDEX initiative under two emission scenarios (RCP4.5 and RCP8.5) are used. The main information on the pilot sites, available data, analyses and results are presented. The data are freely downloadable from the web repository https://doi.org/10.5281/zenodo.7247977. This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.

This Milestone, namely M3.3, is part of Task 3.3 “Downscaling of future climate projections at the case-study scale and their transfer to the Partners”. The aim of M3.3 is to outline the results of the climate change evaluation over the investigated pilot sites. For the future projections of the climate variables (precipitation and temperature), the data provided by EURO-CORDEX initiative under two emission scenarios (RCP4.5 and RCP8.5) are used. The main information on the pilot sites, available data, analyses and results are presented. The data are freely downloadable from the web repository https://doi.org/10.5281/zenodo.7247977. This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.

Green ammonia is gaining momentum as a globally significant technology for deep decarbonisation. In this thesis, several models are developed across chemical, techno-economic, and energy system modelling disciplines to explore the future role of green ammonia. First, standalone models of production (i.e., power-to-ammonia) and re-electrification (i.e., ammonia-to-power) are developed and compared to competing technologies. Second, these models are integrated into a planning and dispatch energy system model (ESM) of India to 2050. The ESM has several novel additions including the sector coupling of hydrogen and ammonia, multiple years of granular weather data, and learning-curve-based technology cost forecasts. India is chosen as an ideal case study given its globally unmatched demand growth in all three relevant sectors: electricity, green hydrogen, and green ammonia. The projected electricity demands for green hydrogen and ammonia production account for 25% of the total Indian electricity demand in 2050, underscoring the transformational potential that green hydrogen and ammonia sector coupling can have on the Indian energy system. The results of the state-of-the-art ESM highlight synergistic effects of hydrogen and ammonia sector coupling with the power system. The least-cost system employs seasonal green ammonia production paired with up to 40 million tonnes (i.e., 200 TWh) of ammonia storage, as well as some re-electrification via gas turbines. Sector coupling reduces system curtailment, addresses challenges of long-duration storage, and improves system resilience to interannual weather variations. While India is a crucial case study from a global decarbonisation perspective, the methodology and findings are generally applicable, and it is the aim of this work to motivate and accelerate the wider research community into considering the potential impacts of green ammonia sector coupling on electricity grid design. Finally, this work highlights strategic technology development direction for ammonia producers and gas turbine manufacturers, as well as implications for policymakers.

Green ammonia is gaining momentum as a globally significant technology for deep decarbonisation. In this thesis, several models are developed across chemical, techno-economic, and energy system modelling disciplines to explore the future role of green ammonia. First, standalone models of production (i.e., power-to-ammonia) and re-electrification (i.e., ammonia-to-power) are developed and compared to competing technologies. Second, these models are integrated into a planning and dispatch energy system model (ESM) of India to 2050. The ESM has several novel additions including the sector coupling of hydrogen and ammonia, multiple years of granular weather data, and learning-curve-based technology cost forecasts. India is chosen as an ideal case study given its globally unmatched demand growth in all three relevant sectors: electricity, green hydrogen, and green ammonia. The projected electricity demands for green hydrogen and ammonia production account for 25% of the total Indian electricity demand in 2050, underscoring the transformational potential that green hydrogen and ammonia sector coupling can have on the Indian energy system. The results of the state-of-the-art ESM highlight synergistic effects of hydrogen and ammonia sector coupling with the power system. The least-cost system employs seasonal green ammonia production paired with up to 40 million tonnes (i.e., 200 TWh) of ammonia storage, as well as some re-electrification via gas turbines. Sector coupling reduces system curtailment, addresses challenges of long-duration storage, and improves system resilience to interannual weather variations. While India is a crucial case study from a global decarbonisation perspective, the methodology and findings are generally applicable, and it is the aim of this work to motivate and accelerate the wider research community into considering the potential impacts of green ammonia sector coupling on electricity grid design. Finally, this work highlights strategic technology development direction for ammonia producers and gas turbine manufacturers, as well as implications for policymakers.

In face of increased efforts to mitigate climate change, biofuels may be included in reduction plans forgreenhouse gas emissions. Feedstock for first generation biofuels and food crops both use arable land andmay compete for it. Also, fuel is an input for the production and transport of food. The purpose of thispaper is to quantify with empirical data how these two aspects affect market outcomes and to introduce acounterfactual setting where the latter aspect dominates the former. The setting allows an expansion ofbiofuel production to increase food production by lowering costs of production and transport. Namely,lower costs increase market access, allowing a higher utilization of idle production capacities for foodcrops. For this quantification, I develop an open market, welfare maximizing, partial equilibrium modelfor three interdependent goods fuel, fuel feedstock, and food (these goods are represented by diesel/biodiesel,palm oil, and cassava/maize respectively). The model is calibrated to Zambia, which exhibits the necessaryunderlying conditions of underutilized agricultural capacity, high transport costs, and low exports offood. Compared to a baseline, model results show the counterfactual switch from fossil diesel to biodieselto reduce the diesel price by51%. This increases food supply (cassava and maize combined) by0.4%and decreases related prices by3%. Overall welfare increases by9.9%. If additionally, a higher worldmarket price of maize renders exports just profitable, overall welfare continues to gain9.9%, domesticfood supply rises by0.3%, and related prices drop by2%, but food supply including exports grows by32%. Furthermore, the introduction of a palm oil based biodiesel sector eliminates import dependency onfossil diesel and palm oil.

In face of increased efforts to mitigate climate change, biofuels may be included in reduction plans forgreenhouse gas emissions. Feedstock for first generation biofuels and food crops both use arable land andmay compete for it. Also, fuel is an input for the production and transport of food. The purpose of thispaper is to quantify with empirical data how these two aspects affect market outcomes and to introduce acounterfactual setting where the latter aspect dominates the former. The setting allows an expansion ofbiofuel production to increase food production by lowering costs of production and transport. Namely,lower costs increase market access, allowing a higher utilization of idle production capacities for foodcrops. For this quantification, I develop an open market, welfare maximizing, partial equilibrium modelfor three interdependent goods fuel, fuel feedstock, and food (these goods are represented by diesel/biodiesel,palm oil, and cassava/maize respectively). The model is calibrated to Zambia, which exhibits the necessaryunderlying conditions of underutilized agricultural capacity, high transport costs, and low exports offood. Compared to a baseline, model results show the counterfactual switch from fossil diesel to biodieselto reduce the diesel price by51%. This increases food supply (cassava and maize combined) by0.4%and decreases related prices by3%. Overall welfare increases by9.9%. If additionally, a higher worldmarket price of maize renders exports just profitable, overall welfare continues to gain9.9%, domesticfood supply rises by0.3%, and related prices drop by2%, but food supply including exports grows by32%. Furthermore, the introduction of a palm oil based biodiesel sector eliminates import dependency onfossil diesel and palm oil.

Within the scope of sustainable development goals and climate change mitigation, this study focuses on investigating the effects of energy consumption, agriculture, and economic growth on CO 2 emissions in the top ten agricultural countries for the period 1997-2016. By investigating the validity of the agricultural induced environmental Kuznets curve (EKC), the study mainly aims to explore how agricultural activities affect environmental quality. In doing so, this study utilizes the augmented mean group (AMG) estimator that allows for heterogeneity and cross-sectional dependence. The results of the AMG estimator suggest that the agricultural induced EKC hypothesis is valid for six out of the ten countries. The empirical results also indicate that agriculture reduces CO2 emissions, while energy consumption accelerates environmental degradation. All these results suggest that agricultural production and economic development can play an essential role in reducing environmental pollution.

Within the scope of sustainable development goals and climate change mitigation, this study focuses on investigating the effects of energy consumption, agriculture, and economic growth on CO 2 emissions in the top ten agricultural countries for the period 1997-2016. By investigating the validity of the agricultural induced environmental Kuznets curve (EKC), the study mainly aims to explore how agricultural activities affect environmental quality. In doing so, this study utilizes the augmented mean group (AMG) estimator that allows for heterogeneity and cross-sectional dependence. The results of the AMG estimator suggest that the agricultural induced EKC hypothesis is valid for six out of the ten countries. The empirical results also indicate that agriculture reduces CO2 emissions, while energy consumption accelerates environmental degradation. All these results suggest that agricultural production and economic development can play an essential role in reducing environmental pollution.

The use of heliostats for hot water supply has a wide application in the southern regions of Russia, where there is a sufficient amount of solar radiation. The article presents GOSTs and international standards for the use of solar installations. The amount of solar radiation coming to the surface of the earth in different regions of Russia is described. The purpose of the article is defined. Arguments for the application of solar collector as a source of hot water supply for greenhouses in the Rostov region are presented. The tables also show statistical data on cloud cover and the number of sunny days by month. The main characteristics of the solar collector, the area of application and advantages and disadvantages are presented.