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The Danish government has set ambitious targets regarding the future exploitation of renewable energy in the Danish energy system. In many respects, the prospective increase in renewable energy resources (RES) will substantially impact the entire future Danish energy system. Renewable gas is a fuel that can contribute to the sustainable transition towards an energy system independent of fossil fuels in the longterm. This study investigates the role of renewable gas production in a renewable based Danish energy system. To facilitate the modelling of renewable gas, improvements of the structure in the spatiotemporal optimization model OptiFlow is carried out. The OptiFlow model is hard-linked to the existing energy system model Balmorel, allowing modelling the gas chain from up-stream renewable gas production, through storage facilities to end consumers. Balmorel is a bottom-up, deterministic, partial equilibrium model, which minimizes systems costs under perfect market conditions. The developments in OptiFlow enable modelling of various processing technologies, e.g. biological- and thermal- gasification as well as electrolysis technologies. The co-simulation of OptiFlow and Balmorel leads to the socio-economic optimal system, where investments and operations optimization is facilitated for the integrated electricity, district heating, and gas system. The results of this study show that production of RE-gas is socio-economically attractive in all the investigated scenarios. Furthermore, the results show that RE-gas directly injected into the natural gas pipeline network is preferred. The analysis show that geographical allocation of resources has an impact on the results. Moreover, it was shown that hydrogen was not produced in periods with high electricity prices.

Denmark is one of the Northern European countries that have set up ambitious longterm targets to reduce GHG emissions from the transport as well as from other sectors. In Denmark the target is to make the transport sector independent of fossilfuel consumption by 2050 at the latest. This paper compares a likely scenario with two alternative ways to achieve the goal - either with a high percentage of electric vehicles (EV) or with a high percentage of hydrogen (H2) use in the transport sector. The STREAM model - an energy scenario simulating tool - provides insight into different potential energy mixes and calculates socio economic costs. It is used to model the different transport scenarios and their system integration with the electricity and heating sectors. The major findings of this paper are that an increased share of electric vehicles could significantly reduce the socio-economic cost of the energy system in 2050. Electricity demand for H2 generation via electrolysis is more flexible than EV charging and the production can therefore, to a larger degree be used to out-balance variable electricity surplus from a high share of wind and solar energy in the power system. H2 production may generate heat that can be used as district heating - replacing traditional heating plants, heat pumps and in some cases combined heat and power plants. Therefore the energy generation mix (electricity and heat) is more affected in the H2 scenario than in the EV scenario. Whether the H2 scenario is more costly to implement than the EV scenario mainly depends on the technological development - especially the improvement on the efficiency of the conversion from electricity to H2. It is found that a higher efficiency in the H2 production via electrolysis plays a more important role in decreasing the total cost of the energy system than a lower level of electrolyser capital cost. Therefore, the major driver of a successful H2 scenario is a high efficient and flexible H2 production in 20

Denmark is one of the Nordic countries that have set up ambitious long-term targets to reduce GHG emissions from the transport as well as from other sectors. In Denmark the target is to make the transport sector independent of fossil-fuel consumption by 2050 at the latest. This paper compares a likely scenario with two alternative ways to achieve the goal - either with a high percentage of electric vehicles (EV) or with a high percentage of hydrogen (H2) use in the transport sector. The STREAM model - an energy scenario simulating tool - provides insight into different potential energy mixes and calculates socio economic costs. It is used to model the different transport scenarios and their system integration with the electricity and heating sectors. The major findings of this paper are that an increased share of electric vehicles could significantly reduce the socio-economic cost of the system in 2050. Compared to the EV scenario, H2 generation from electrolysis is more flexible and the production can therefore to a larger degree be used to out-balance fluctuating electricity surplus from a high share of wind energy in the power system. H2 production may generate heat that can be used as district heating - replacing traditional heating plants, heat pumps and in some cases combined heat and power plants. Therefore the energy generation mix (electricity and heat) is more affected in the H2 scenario than in the EV scenario. Whether the H2 scenario is more costly to implement than the EV scenario mainly depends on the technological development - especially the efficiency of the electricity to H2 development. It is found that a higher efficiency in the H2 production is more important than a lower level of the capital cost. Therefore, the major driver of a successful H2 scenario is a high efficient and flexible H2 production in 2050. In other words, from a socio-economic view point this paper estimates that the technological path in innovation should have

The aim of the TOPWASTE project is to evaluate current and future optimal treatment of waste fractions in terms of economy and the environment, with a focus on recycling versus Waste-to-Energy technologies. After optimization of the waste management system, results must be analysed so as to identify drivers and barriers that efficient waste utilization in Denmark is facing and discuss the economic and/or environmental benefits that might arise from a change of the current waste management system.