scholarly journals Statistical analysis of 200 digital twins for thermal load of Swiss buildings created from smart grid monitoring data

2021 ◽  
Vol 2042 (1) ◽  
pp. 012009
Author(s):  
Andreas Melillo ◽  
Esther Linder ◽  
Braulio Barahona ◽  
Philipp Schuetz
Keyword(s):  
Statistical Analysis ◽  
Residential Buildings ◽  
Thermal Inertia ◽  
Monitoring Data ◽  
Smart Meter ◽  
Thermal Dynamics ◽  
Heating Systems ◽  
Digital Twins ◽  
Remote Identification ◽  
Regional Comparisons

Abstract Exploiting thermal inertia of buildings as flexibility for the electric grid requires information about thermal dynamics in the system. The presented paper proposes a new method to create digital twins based on smart meter monitoring data and has been applied to 200 Swiss residential buildings. The statistical analysis of these heat pump based heating systems shows expected distributions of key parameters such as heat losses, solar gain factors and thermal capacities. Regional comparisons for crucial building parameters have been carried out and the remote identification of potential renovation candidates has shown promising results.

scholarly journals Automated modelling of residential buildings and heating systems based on smart grid monitoring data

2020 ◽  
Vol 229 ◽  
pp. 110453
Author(s):  
P. Schuetz ◽  
A. Melillo ◽  
F. Businger ◽  
R. Durrer ◽  
S. Frehner ◽  
...  
Keyword(s):  
Smart Grid ◽  
Residential Buildings ◽  
Monitoring Data ◽  
Heating Systems ◽  
Grid Monitoring

scholarly journals Demand response strategies in residential buildings clusters to limit HVAC peak demand

2021 ◽  
Vol 312 ◽  
pp. 09001
Author(s):  
Alice Mugnini ◽  
Fabio Polonara ◽  
Alessia Arteconi
Keyword(s):  
Demand Response ◽  
Residential Buildings ◽  
Management Strategies ◽  
Thermal Inertia ◽  
Heating System ◽  
Peak Reduction ◽  
Peak Demand ◽  
Heating Systems ◽  
Response Strategies ◽  
Residential Heating

Due to the increasing spread of residential heating systems electrically powered, buildings show a great potential in producing demand side management strategies addressing their thermal loads. Indeed, exploiting the intrinsic characteristics of the heating/cooling systems (i.e. the thermal inertia level), buildings could represent an interesting solution to reduce the electricity peak demand and to optimize the balance between demand and supply. The objective of this paper is to analyse the potential benefits that can be obtained if the electricity demand derived from the heating systems of a building cluster is managed with demand response strategies. A simulation-based analysis is presented in which a cluster of residential archetypal buildings are investigated. The buildings differ from each other for construction features and type of heating system (e.g. underfloor heating or with fan coil units). By supposing to be able to activate the energy flexibility of the single building with thermostatic load control, an optimized logic is implemented to produce programmatically an hourly electricity peak reduction. Results show how the involvement of buildings with different characteristics depends on the compromise that wants to be achieved in terms of minimization of both the rebound effects and the variation of the internal temperature setpoint.

scholarly journals Energy Saving Potential of Radiant Floor Heating Assisted by an Air Source Heat Pump in Residential Buildings

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1321
Author(s):  
Yu-Jin Hwang ◽  
Jae-Weon Jeong
Keyword(s):  
Energy Saving ◽  
Heat Pump ◽  
Residential Buildings ◽  
Heating Systems ◽  
Air Source Heat Pump ◽  
Heating Capacity ◽  
Heating Loads ◽  
Radiant Floor Heating ◽  
Floor Heating ◽  
Floor Temperature

The objective of this research is to establish an appropriate operating strategy for a radiant floor heating system that additionally has an air source heat pump for providing convective air heating separately, leading to heating energy saving and thermal comfort in residential buildings. To determine the appropriate optimal operating ratio of each system taking charge of combined heating systems, the energy consumption of the entire system was drawn, and the adaptive floor surface temperature was reviewed based on international standards and literature on thermal comfort. For processing heating loads with radiant floor heating and air source heating systems, the heating capacity of radiant floor heating by 1 °C variation in floor temperature was calculated, and the remaining heating load was handled by the heating capacity of the convective air heating heat pump. Consequently, when the floor temperature was 25 °C, all heating loads were removed by radiant floor heating only. When handling all heating loads with the heat pump, 59.2% less energy was used compared with radiant floor heating only. Considering the local discomfort of the soles of the feet, the floor temperature is expected to be suitable at 22–23 °C, and 31.5–37.6% energy saving compared with those of radiant floor heating alone were confirmed.

Occupancy detection of residential buildings using smart meter data: A large-scale study

2019 ◽  
Vol 183 ◽  
pp. 195-208 ◽  
Author(s):  
Rouzbeh Razavi ◽  
Amin Gharipour ◽  
Martin Fleury ◽  
Ikpe Justice Akpan
Keyword(s):  
Large Scale ◽  
Residential Buildings ◽  
Smart Meter ◽  
Large Scale Study ◽  
Occupancy Detection

scholarly journals Statistical Analysis: A Tool for Understanding Monitoring Data

7th FMGM 2007 ◽  
2007 ◽  
Author(s):  
Domenico Bruzzi ◽  
Alessandro Fassò ◽  
Orietta Nicolis ◽  
Giorgio Pezzetti
Keyword(s):  
Statistical Analysis ◽  
Monitoring Data

Cost and environmental performance of forced air and hot water heating systems in post-Soviet countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Begmyrat Kulmedov ◽  
Serdar Durdyev
Keyword(s):  
Natural Gas ◽  
Environmental Performance ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Cost Effective ◽  
Hot Water ◽  
Design Stage ◽  
High Price ◽  
Content Type ◽  
Heating Systems

PurposeThe aim of the present study is to assess the selected heating systems (furnace and boiler) commonly used in the dwellings of seven post-USSR (the Union of Soviet Socialist Republics) countries. The systems were assessed in terms of their cost and environmental performance, with natural gas and electricity used as the main source of energy.Design/methodology/approachThe cost-effectiveness and environmental performance of the selected heating systems that have been commonly used in the selected post-USSR countries was assessed. Current energy (natural gas and electricity) prices that are applied in those countries were used.FindingsResults show that the furnace is the cheapest option, while natural gas is the cheapest source of energy, despite its high price in Tajikistan and Kyrgyzstan. Both heating systems could be considered eco-friendly options, although their efficiencies need to be considered at the design stage. Turkmenistan, Uzbekistan and Kazakhstan, which are the top natural gas producers, offer natural gas for the selected heating systems as both cost-effective and eco-friendly options.Practical implicationsA considerable reduction in electricity consumption and less harm to our environment can be achieved through the systems used in residential buildings in the region.Originality/valueThe outcomes of the present study offer value (in terms of cost-effective and eco-friendly options) for the end-users in the region.

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