Predicting Energy Efficiency Performance for Building Integrated Photovoltaic
(Towards Greener Building, Universitas Ciputra Surabaya)
- DOI
- 10.2991/assehr.k.220703.010How to use a DOI?
- Keywords
- Consumption; EDGE; Efficiency; Energy; Renewable
- Abstract
One-third of the world’s energy are consumed by buildings. In Indonesia, the main source of this energy is fossil fuel that act as the main contributor to global warming and climate change. Improving energy efficiency on a building is important to approach greener environment. EDGE is a tool that respond to the need for a measurable and credible solution to approach green design, including the energy-efficient building design. Here, the calculation of energy efficiency covers the comparative measurement of base case and improved case, including the comparison of geometry and building orientation, mapping of energy use, and prediction of energy harvesting from renewable energy resources. Studying this concept further is important to predict cost of going green, to ensure utility savings, as well as to reduce negative impacts to the environment. This study presents Universitas Ciputra building as the proposed case. This building is chosen since it already had some green features. Additionally, the building also has the potential for on-site renewable energy integration, particularly for solar energy with BIPV concept. Experimental method with simulation as its tool is used to find the energy-efficiency performance of the proposed case. Base case is provided by EDGE. The UC’s existing building is set as the 1st treatment (improved case 1) and UC building with additional PV is set as the 2nd treatment (improved case 2). The result from EDGE simulation shows that the improved case 1 has 28.66% better energy-efficiency performance. While the improved case 2 (with only 7% annual electricity substituted by renewable energy from PV) has 33.23% better energy performance.
- Copyright
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Susan Susan AU - Dyah Kusuma Wardhani PY - 2022 DA - 2022/07/08 TI - Predicting Energy Efficiency Performance for Building Integrated Photovoltaic BT - Proceedings of the International Webinar on Digital Architecture 2021 (IWEDA 2021) PB - Atlantis Press SP - 58 EP - 65 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220703.010 DO - 10.2991/assehr.k.220703.010 ID - Susan2022 ER -