Sustainable Performances of Small to Medium-Sized Airports in the Adriatic Region

The aim of the present paper is to evaluate the greenhouse gas savings and economic benefits associated with sustainable water and energy management at six small-to-medium airports in the Adriatic region. All the data were provided by the airport authorities in terms of the consumption of water, electricity, and energy for heating and company-operated vehicles for three years (2016–2018), as well as information about good practices and the sustainable use of water and energy resources. For the water and energy benchmarks, the most plausible predictive variables were selected according to the literature relevant to the environmental benchmarking of airports. The stepwise linear regression method was used to select the most significant predictive variables in explaining the dataset. The airports showed positive steps towards sustainability, such as a higher share of natural gas in the mix of fuel used for heating, and a green electricity tariff. The CO2 emissions and budget related to motor fuels were less than a quarter of the emissions and budget for energy consumption for heating and electricity. To achieve the goal of zero-emission airports, the decarbonisation of motor fuels and transport should follow the actions aimed at increasing energy efficiency and clean energy for heating and electricity.

The next stage of green electricity labeling

The labeling of electricity is considered an important mechanism to differentiate renewable power generation and, thus, to incentivize the expansion of green energy. However, today's systems for documenting and trading green energy certificates suffer from multiple challenges. These could be addressed by a digital solution that holistically collects and processes production and consumption data. Blockchain-based architectures have repeatedly been suggested for this purpose since they can provide transparency and can likely be accepted by a broad group of stakeholders. Yet, there are significant scalability and privacy issues of a blockchain-based approach for storing and processing fine-grained production and consumption data. In this paper, we propose and discuss a potential solution that levers succinct cryptographic zero-knowledge proofs to balance the required level of transparency and privacy while at the same time providing a high degree of scalability.

Accelerating Energy Transition to Green Electricity through Artificial Intelligence

The presentation focuses on the role of artificial intelligence in accelerating the transition to green electricity in Germany. It discusses the challenges in the transition towards green electricity in Germany and the role of digitalization through smart metering. One of the methods to adopt and disseminate the use of green electricity is demand response. The presentation explains the definition of demand response concept and gives an example of projects that applies neural network to forecast power generation and consumption to enable calculation of dynamic electricity price. Finally, the presentation explores the adoption of green electricity in broader contexts, e.g., cities and districts, through a data-driven smart energy platform.