The present document is the deliverable number D2.4, entitled "Database of Dynamic Scenarios", included in the European project "HYCOOL - Industrial Cooling through Hybrid system based on Solar Heat" with project reference: 792073. HyCool Project Mission is increasing the use of Solar Heat in Industry Processes, with specially build Hybrid Heat Pumps for providing industrial cooling to be used in refrigeration systems in industry. The dynamic scenarios approach must provide a methodology to manage test site results for the different scenarios used in the project as pilot sites. The electricity savings and demand reduction relative to each case must be defined for each scenario and these potential energy savings and demand reduction estimates represent the maximum technical potential of the various strategies and do not consider financial or market considerations, these last considerations must employ the KPIs approach which is discussed in D2.5. The expected results applying dynamic scenarios approach must indicate that dynamic energy management serves to collect relevant data and information in real time, and it can be used to analyse additional energy savings and demand reduction potential that would not otherwise be captured by implementing traditional energy efficiency and demand analysis in a post information study. The additional potential is enabled by the integration of smart devices, advanced controls, and a communication architecture that may bring a dynamic analysis of the most relevant performance parameters to maintain or improve HyCool products.
HYCOOL D 2.4 Database of Dynamic Scenarios
V Palomba;A Frazzica
2019
Abstract
The present document is the deliverable number D2.4, entitled "Database of Dynamic Scenarios", included in the European project "HYCOOL - Industrial Cooling through Hybrid system based on Solar Heat" with project reference: 792073. HyCool Project Mission is increasing the use of Solar Heat in Industry Processes, with specially build Hybrid Heat Pumps for providing industrial cooling to be used in refrigeration systems in industry. The dynamic scenarios approach must provide a methodology to manage test site results for the different scenarios used in the project as pilot sites. The electricity savings and demand reduction relative to each case must be defined for each scenario and these potential energy savings and demand reduction estimates represent the maximum technical potential of the various strategies and do not consider financial or market considerations, these last considerations must employ the KPIs approach which is discussed in D2.5. The expected results applying dynamic scenarios approach must indicate that dynamic energy management serves to collect relevant data and information in real time, and it can be used to analyse additional energy savings and demand reduction potential that would not otherwise be captured by implementing traditional energy efficiency and demand analysis in a post information study. The additional potential is enabled by the integration of smart devices, advanced controls, and a communication architecture that may bring a dynamic analysis of the most relevant performance parameters to maintain or improve HyCool products.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


