![]() Abdullah, Aisha ![]() ![]() ![]() Report (2021) Detailed reference viewed: 216 (29 UL)![]() ; Hansen, Joachim ![]() in Applied Energy (2017), 208 Studies and publications from the past ten years demonstrate that generally the energy efficiency of Waste Water Treatment Plants (WWTPs) is unsatisfactory. In this domain, efficient pump energy ... [more ▼] Studies and publications from the past ten years demonstrate that generally the energy efficiency of Waste Water Treatment Plants (WWTPs) is unsatisfactory. In this domain, efficient pump energy management can generate economic and environmental benefits. Although the availability of on-line sensors can provide high-frequency information about pump systems, at best, energy assessment is carried out a few times a year using aggregated data. Consequently, pump inefficiencies are normally detected late and the comprehension of pump system dynamics is often not satisfactory. In this paper, a data-driven methodology to support the daily energy decision-making is presented. This innovative approach, based on fuzzy logic, supports plant managers with detailed information about pump performance, and provides case-based suggestions to reduce the pump system energy consumption and extend pump life spans. A case study, performed on a WWTP in Germany, shows that it is possible to identify energy inefficiencies and case-based solutions to reduce the pump energy consumption by 18.5%. [less ▲] Detailed reference viewed: 61 (0 UL)![]() ; ; et al in Data, Information and Knowledge Visualization in Decision Support Systems, 282 (2017) Detailed reference viewed: 81 (4 UL)![]() ; Hansen, Joachim ![]() in Lecture Notes in Computer Science (2017) Detailed reference viewed: 150 (15 UL)![]() Schiel, Kerry ![]() ![]() in Renewable Energy (2016), 86 Due to the rapidly increasing percentage of the population living in urban centres, there is a need to focus on the energy demand of these cities and the use of renewable energies instead of fossil fuels ... [more ▼] Due to the rapidly increasing percentage of the population living in urban centres, there is a need to focus on the energy demand of these cities and the use of renewable energies instead of fossil fuels. In this paper, we develop a spatial model to determine the potential per parcel for using shallow geothermal energy, for space heating and hot water. The method is based on the space heating and hot water energy demand of each building and the specific heat extraction potential of the subsurface per parcel. With this information, along with the available space per parcel for boreholes, the percentage of the energy demand that could be supplied by geothermal energy is calculated. The potential reduction in CO2 emissions should all possible geothermal energy be utilised, is also calculated. The method is applied to Ludwigsburg, Germany. It was found that CO2 emissions could potentially be reduced by 29.7% if all space heating and hot water requirements were provided by geothermal energy, which would contribute to the sustainability of a city. The method is simple in execution and could be applied to other cities as the data used should be readily available. Another advantage is the implementation into the web based Smart City Energy platform which allows interactive exploration of solutions across the city. [less ▲] Detailed reference viewed: 336 (14 UL)![]() Schiel, Kerry ![]() ![]() Computer development (n.d.) Associated with the working paper "GIS-based Modelling of Shallow Geothermal Energy Potential for CO2 Emission Mitigation in Urban Areas" #by Kerry Schiel and Geoffrey Caruso (University of Luxembourg ... [more ▼] Associated with the working paper "GIS-based Modelling of Shallow Geothermal Energy Potential for CO2 Emission Mitigation in Urban Areas" #by Kerry Schiel and Geoffrey Caruso (University of Luxembourg); Olivier Baume and Ulrich Leopold (Luxembourg Institute of Science and Technology) [less ▲] Detailed reference viewed: 179 (11 UL) |
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