Stochastic Optimization for Integration of Renewable Energy Technologies in District Energy Systems for Cost-Effective Use
Stochastic optimization of a district energy system (DES) is investigated with renewable energy systems integration and uncertainty analysis to meet all three major types of energy consumption: electricity, heating, and cooling. A district of buildings on the campus of the University of Utah is used...
Main Authors: | Thomas T. D. Tran, Amanda D. Smith |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/12/3/533 |
Similar Items
-
Smart energy systems and 4th generation district heating
by: Poul Alberg Østergaard, et al.
Published: (2016-12-01) -
Decomposition Strategy for Districts as Renewable Energy Hubs
by: Luise Middelhauve, et al.
Published: (2022-01-01) -
Life Cycle Cost of Heat Supply to Areas with Detached Houses—A Comparison of District Heating and Heat Pumps from an Energy System Perspective
by: Moa Swing Gustafsson, et al.
Published: (2018-11-01) -
A Brief History of District Heating and Combined Heat and Power in Denmark: Promoting Energy Efficiency, Fuel Diversification, and Energy Flexibility
by: Katinka Johansen
Published: (2022-12-01) -
Comparative Analysis of Renewable Energy Community Designs for District Heating Networks: Case Study of Corticella (Italy)
by: Maria Alessandra Ancona, et al.
Published: (2022-07-01)