A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimal Energy-Saving in Smart Energy Hub Considering Demand Management
Abstract This study focused on energy saving in energy hub system using smart grid technologies and management of the energy demand. The two-layer energy management is proposed for implementing energy saving. In first layer, energy demand such as electrical, thermal and natural gas are optimized subject to optimal level of the demand at day-ahead. Then, optimized energy demand is applied in second layer to reduction energy generation costs. The optimization of the proposed approach is done by shuffled frog leaping algorithm (SFLA), and results at several case studies to confirmation of the proposed approach are investigated.
Optimal Energy-Saving in Smart Energy Hub Considering Demand Management
Abstract This study focused on energy saving in energy hub system using smart grid technologies and management of the energy demand. The two-layer energy management is proposed for implementing energy saving. In first layer, energy demand such as electrical, thermal and natural gas are optimized subject to optimal level of the demand at day-ahead. Then, optimized energy demand is applied in second layer to reduction energy generation costs. The optimization of the proposed approach is done by shuffled frog leaping algorithm (SFLA), and results at several case studies to confirmation of the proposed approach are investigated.
Optimal Energy-Saving in Smart Energy Hub Considering Demand Management
Dwijendra, Ngakan Ketut Acwin (author) / Candra, Oriza (author) / Mubarak, Ihsan Ali (author) / Braiber, Hassan Taher (author) / Ali, Muneam Hussein (author) / Muda, Iskandar (author) / Sivaraman, R. (author) / Iswanto, A. Heri (author)
2022
Article (Journal)
English
Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving
| DOAJ | 2022
A stochastic model for energy resources management considering demand response in smart grids
| BASE | 2016