Development of a data-driven model to characterize the heat storage of the building thermal mass in energy planning tools
In the one hand, energy planning tools compute the cost-optimal investment in the energy system minimizing life cycle costs (LCC). These tools often consider optimal control. The building (or cluster of buildings) is represented by a node where the time profiles of energy demands are given as inputs...
Main Authors: | Georges Laurent, Storlien Elin, Askeland Magnus, Lindberg Karen Byskov |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2021-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/22/e3sconf_hvac2021_10001.pdf |
Similar Items
-
Integrating Thermal-Electric Flexibility in Smart Buildings using Grey-Box modelling in a MILP tool
by: Bagle Marius, et al.
Published: (2022-01-01) -
Evaluation Method for the Hourly Average CO<sub>2eq.</sub> Intensity of the Electricity Mix and Its Application to the Demand Response of Residential Heating
by: John Clauß, et al.
Published: (2019-04-01) -
Residential electric vehicle charging datasets from apartment buildings
by: Åse Lekang Sørensen, et al.
Published: (2021-06-01) -
Improved thermal energy storage for heating and cooling of buildings
by: Koželj Rok, et al.
Published: (2019-01-01) -
Demand response with active phase change material based thermal energy storage in buildings
by: Aneesh Chandra Nunna, et al.
Published: (2023-05-01)