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akaturk Akademik ölçüm

Makale detayı · 2021

Predictive control co-design for enhancing flexibility in residential housing with battery degradation

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YÖKSİS OpenAlex Açık erişim · diamond SJR Q3 Atıf 2 Yüzdelik 42.7% FWCI 0.11
Yıl
2021
ISSN
2405-8963
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

İngilizce (OpenAlex)

Buildings are responsible for about a quarter of global energy-related CO2 emissions. Consequently, the decarbonisation of the housing stock is essential in achieving net-zero carbon emissions. Global decarbonisation targets can be achieved through increased efficiency in using energy generated by intermittent resources. The paper presents a co-design framework for simultaneous optimal design and operation of residential buildings using Model Predictive Control (MPC). The framework is capable of explicitly taking into account operational constraints and pushing the system to its efficiency and performance limits in an integrated fashion. The optimality criterion minimises system cost considering time-varying electricity prices and battery degradation. A case study illustrates the potential of co-design in enhancing flexibility and self-sufficiency of a system operating under different conditions. Specifically, numerical results from a low-fidelity model show substantial carbon emission reduction and bill savings compared to an a-priori sizing approach.

Konular

  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • Advanced Control Systems Optimization

Birincil konu Building Energy and Comfort Optimization

Yazarlar

  1. Paola Falugi
  2. Edward O'Dwyer
  3. ERCAN ATAM BOĞAZİÇİ ÜNİVERSİTESİ
  4. Eric C. Kerrigan
  5. Marta A Zagorawska
  6. Goran Strbac
  7. Nilay Shah