Geothermal Heating and Cooling Networks for Green and Livable Urban Transformations – Part II

As stated in part one of “how geothermal heating and cooling networks may support the green and livable urban transformation,” geothermal energy can be very efficiently used as a resource for district heating and cooling networks and can have the ability to be a key technology for a necessary heat energy transition. Compared to natural gas, the reduction of CO2-emissions using geothermal energy in an average project can be up to 88 percent (Stichting Platform Geothermie et al., 2018), hence the implementation of geothermal energy could be an important step to reach EU climate goals. In the Netherlands, for instance, it is predicted that geothermal energy can contribute 15 percent to the necessary CO2-emission reduction in the heat sector by 2030 and up to 25 percent by 2050 (Stichting Platform Geothermie et al., 2018). In contrast to that, geothermal energy only plays a minor role in the European heating and cooling sector. Hence there is a need to strengthen the role of geothermal energy and to intensify a know-how transfer about the potential of this technology. Therefore, the COST Action Geothermal-DHC wants to foster this knowledge exchange and will develop a roadmap towards a better integration of geothermally supplied heating and cooling networks in Europe in the next three years. Showcases and good practice examples offer a reliable option to exchange experiences and achieved success and can incentivize stakeholders to integrate similar solutions in their concepts and strategies. Some of such practice examples, implementing geothermal energy for heating and cooling in various European countries, are described in the following, which show a high variety of application possibilities

Variability of behaviour in electricity load profile clustering: who does things at the same time each day?

UK electricity market changes provide opportunities to alter households' electricity usage patterns for the benet of the overall electricity network. Work on clustering similar households has concentrated on daily load proles and the variability in regular household behaviours has not been considered. Those households with most variability in reg- ular activities may be the most receptive to incentives to change timing. Whether using the variability of regular behaviour allows the creation of more consistent groupings of households is investigated and compared with daily load prole clustering. 204 UK households are analysed to nd repeating patterns (motifs). Variability in the time of the motif is used as the basis for clustering households. Dierent clustering algorithms are assessed by the consistency of the results. Findings show that variability of behaviour, using motifs, provides more consistent groupings of households across dierent clustering algorithms and allows for more ecient targeting of behaviour change interventions

Alternative use of artificial quarry lakes as a source of thermal energy for greenhouses

In northern Italy, most greenhouses rely on gas or oil heaters which are sometimes subject to high operating costs. Several greenhouses are nearby quarry lakes, which are the legacy of the expansion of cities in the last decades, including Turin (NW Italy). About 20 quarry lakes were excavated close to the Po riverbed in the southern part of this urban area, along a belt of more than 30 km in length, with an overall volume exceeding 10 million m3 water. The study addresses these artificial lakes as a low enthalpy thermal energy source, potentially providing heat to surrounding agri-business buildings. Detailed temperature monitoring of a large lake quarry was conducted over two years at different depths, measuring the surrounding groundwater level as well. Two different behaviors of the lake during the winter and summer seasons enabled the definition of a quite low water mixing process between the surrounding aquifers and the lake (in the range of 2–4◦ C). An evaluation of the heat extraction potential using the lake as a heat source, depending on water temperature and its volume, and a qualitative comparison with groundwater systems are proposed. This study contributes to increasing knowledge on an overlooked resource for sustainable heating

Modeling Local Energy Market for Energy Management of Multi-Microgrids

The diffusion of distributed energy resources (DERs) has changed the supply-demand balance of power systems. One option to modernize the management of the electricity distribution is to operate the distribution system with interconnected micro-grids (MGs). However, the MG participation in wholesale energy and ancillary service markets creates several challenges in the interactions among the energy market managing entities. To solve these problems, local energy markets (LEMs) have been proposed, where the MGs can trade energy with each other under the management of the LEM manager (LEMM) to minimize their operation cost. In this paper, a local energy market is modeled for multi-MGs (MMGs) to minimize the operation cost of MGs individually and their social welfare in cooperation with each other. In such model, the optimal scheduling of the DERs in each MG is done through the market clearing process. To investigate the effectiveness of the proposed approach, the local energy market is applied to a distribution network with three MGs