A master thesis from Aalborg University
Optimal Scheduling of Power Consumption in Green Smart Houses
[Optimal Planlægning af Strømforbrug i Green Smart Houses]
Author(s)
Term
4. term
Education
Publication year
2017
Submitted on
2017-09-27
Pages
76 pages
Abstract
På grund av den høje vækst i vedvarende energiproduktion, mer og mer fornybare systemer er produsert for husholdningsbruk. Integratie PV-systeem met energie-opslag zou toestaan dat huishoudens volledig worden verbroken van de grid. En af de største forbrukerne i et hus er det varmesystem. This work focuses on representing a complex system composed of: house, heating, battery, PV system, backup generator. Videre er det undersøkt det effektive energiforbruket eller opvarmningssystemet i et grundhus. Model Predictive Control (MPC) is gebruikt om volledig te integreren van de huidige toestand van het systeem en de weersverwachting. Videre, minimering av bruken av backupenergien i tilfellet av utilstrækkelig kraft er forfulgt, følgelig er bruken av fossile brændstoffer reduceret. Også, de prediktive regulatorkommandoer: oppvarmning av huset, energilagring og backupgenerering, og dermed holde husets temperaturer innenfor komfortgrenser. Ten slotte, een MPC-strategie is geïmplementeerd en verified through simulations.
Due to the high growth in renewable energy generation, more and more renewable systems are being manufactured for household usage. Integrating PV system accompanied with energy storage would permit households to completely disconnect from the grid. One of the biggest consumer in a building is the heating system. This work focuses on representing a complex system composed of: house, heating, battery, PV system, backup generator. Moreover, it is investigated the efficient energy usage of the heating system in a basic house. Model predictive control (MPC) is used to fully integrate the current state of the system and the weather forecast. Moreover, minimizing the use of the backup generator in the case of insufficient power is pursued, consequently the usage of fossil fuels is reduced. Also, the predictive controller commands: heating of the house, energy storage and backup generation, thus keeping the house temperatures within comfort limits. Finally, a MPC strategy is implemented and verified through simulations.
Keywords
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