Distributed cogeneration units are flexible and suited to providing balancing power, thereby contributing to the integration of renewable electricity. Against this background, we analysed the technical potential and ecological impact of CHP (combined heat and power) systems on the German minutes reserve market for 2010, 2020 and 2030. Typical CHP plants (from 1 to 2800 kWel) were evaluated in relation to typical buildings or supply cases in different sectors. The minutes reserve potential was determined by an optimisation model with a temporal resolution of 15 min. The results were scaled up to national level using a scenario analysis for the future development of CHP. Additionally, the extent to which three different flexibility measures (double plant size/fourfold storage volume/emergency cooler) increase the potential provision of balancing power was examined. Key findings demonstrate that distributed CHP could contribute significantly to the provision of minutes reserve in future decades. Flexibility options would further enhance the theoretical potential. The grid-orientated operating mode slightly increases CO2 emissions compared to the heat-orientated mode, but it is still preferable to the separate generation of heat and power. However, the impacts of a flexible mode depend greatly on the application and power-to-heat ratio of the individual CHP system.
The reduction of greenhouse gas (GHG) emissions by energyintensive industries to a net zero level is a very ambitious and complex but still feasible challenge, as recent studies show for the EU level. "Industrial Transformation 2050" by Material Economics (2019) is of particular relevance, as it shows how GHG-neutrality can be achieved in Europe for the sectors chemicals (plastics and ammonia), steel and cement, based on three main decarbonisation strategies. The study determines the resulting total demands for renewable electricity, hydrogen and for the capture and storage of CO2 (CCS). However, it analyses neither the regional demand patterns that are essential for the required infrastructure nor the needed infrastructure itself.
Against this background the present paper determines the regional distribution of the resulting additional demands for electricity, hydrogen and CCS in Europe in the case that the two most energy and CCS intensive decarbonisation strategies of the study above will be realised for the existing industry structure. It explores the future infrastructure needs and identifies and qualitatively assesses different infrastructure solutions for the largest industrial cluster in Europe, i.e. the triangle between Antwerp, Rotterdam and Rhine-Ruhr. In addition, the two industrial regions of Southern France and Poland are also roughly examined.
The paper shows that the increase in demand resulting from a green transformation of industry will require substantial adaptation and expansion of existing infrastructures. These have not yet been the subject of infrastructure planning. In particular, the strong regional concentration of additional industrial demand in clusters (hot spots) must be taken into account. Due to their distance from the high-yield but remote renewable power generation potentials (sweet spots), these clusters further increase the infrastructural challenges. This is also true for the more dispersed cement production sites in relation to the remote CO2 storage facilities. The existing infrastructure plans should therefore be immediately expanded to include decarbonisation strategies of the industrial sector.
Wind energy that can neither be fed into the grid nor be used regionally must be curtailed. This paper proposes different options to deal with such surplus wind energy amounts in a time horizon until 2020. It assesses their ability to handle the surplus energy in a sustainable way using a multi criteria analysis. The paper bases on a study that was prepared for the Ministry for Climate Protection, Environment, Agriculture, Nature Conservation and Consumer Protection of North Rhine-Westphalia between 2010 and 2012.
Energy systems with high shares of renewable electricity are feasible, but require balancing measures such as storage, grid exchange or demand-side management to maintain system stability. The demand for these balancing options cannot be assessed separately since they influence each other. Therefore, a model was developed to analyze these mutual dependencies by optimizing a concerted use of balancing technologies. This model is presented here. It covers the European electricity system in hourly resolution. Since this leads to a large optimization problem, several options for reducing system complexity are presented. The application of the model is illustrated with a case study outlining the effects of pumped hydro storage and controlled charging of electric vehicles in central Europe.