Optimization Model of Power Generation and Load Equipment Selection for near Zero Energy Building with Rooftop PV Integrated

Fahmy Miftahurrahman, Farizal, M. Dachyar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The average power consumption for the residential sector in Indonesia is quite high. It makes sense to reduce consumption by applying the near Zero Energy Building concept. The retrofit strategy is one strategy for combining energy efficiency and cost-effectiveness. PV system equipment selection will impact directly to generated power, need to be optimized. On the other side, load equipment selection also needs to be optimized for energy consumption efficiency. In this research, minimizing the retrofit cost and find a 'cost-optimal' package, energy efficiency technologies and Renewable energy generation systems be combined and investigated. Equipment selection for lighting, space cooling, and general appliances type held based on cost per load energy and equipment price. The preliminary result of this study was a mathematical model from optimization of the combination of appliances types, PV Modules types, and minimum PV system capacity to achieve a cost-optimized nZEB.

Original languageEnglish
Title of host publicationICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728140827
DOIs
Publication statusPublished - Dec 2019
Event6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019 - Kuala Lumpur, Malaysia
Duration: 20 Dec 201921 Dec 2019

Publication series

NameICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences

Conference

Conference6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019
CountryMalaysia
CityKuala Lumpur
Period20/12/1921/12/19

Keywords

  • nZEB
  • optimization
  • photovoltaic
  • retrofit
  • selection

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