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Performance of Environmental and Energy Audit for Manufacturing Industrial Buildings. Norfishah Ab Wahab; N. A. Sahril; A. Amiruddin; Zuhaila Mat Yasin; N. A. Salim; N. A. Rahmat; N. F. A. Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp534-541

Abstract

Environmental and energy audit of industrial building is important as it may help in providing a comfortable workplace for the staff as well as to observe the company’s environmental practices during operational hours while managing the energy usage in an efficient manner. It is also important in ensuring the company comply with applicable laws and regulations This paper discusses on the environmental and energy audit to identify the performance of environmental and energy efficiency in two manufacturing industrial buildings with heavy machineries. Analyses on the energy performance, visual comfort and thermal improvement including recommended solutions for optimization of energy efficiency and environmental aspects of the two buildings are presented. Energy efficiency and environmental aspects covered in this audit study are the illuminance of the building, indoor building temperature, relative humidity and carbon dioxide (CO2) percentage in indoor air quality. Jabatan Kerja Raya (JKR) standards is used as a benchmark to observe the illuminance of the buildings, Malaysian Standard 1525 (MS1525) is used as a quality control for temperature and relative humidity, while Department of Occupational Safety and Health, 2005 (DOSH 2005) is used as a quality control for CO2 percentage in air. Based on the results from the audit, the performance for both industrial building is compared. It was found that the energy efficiency and environmental performance for Factory A is better than Factory B.
Optimal location and sizing of battery energy storage system using grasshopper optimization algorithm Nur Syifa Nasyrah Razali; Zuhaila Mat Yasin; Nofri Yenita Dahlan; Siti Zaliha Mohammad Noor; Nurfadzilah Ahmad; Elia Erwani Hassan
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp647-654

Abstract

An energy storage system called a battery energy storage system (BESS) collects energy from various sources, builds up that energy, and then stores it in rechargeable batteries for future use. The battery's electrochemical energy can be discharged and supplied to buildings such as residences, electric cars, and commercial and industrial buildings. The advantages of utilizing BESSs, such as minimizing energy loss, improving voltage profile, peak shaving, and increasing power quality, may be reduced if incorrect decisions about the appropriate position and capacity for BESSs are chosen. Furthermore, the optimal position and size for BESSs are critical since deploying a BESS at every bus, particularly in an extensive network, is not a cost-effective option, and installing oversized BESSs would result in higher investment expenses. Hence, this study suggests a proficient method for identifying the most suitable position and the sizes of BESS to save costs. The grasshopper optimization algorithm (GOA) and evolutionary programming (EP) were employed to address the optimization challenge on the IEEE 69-bus distribution test system. The goal of the optimization is to minimize the overall cost. The findings indicate that the GOA has strong resilience and possesses a superior capacity for optimizing cost reduction in comparison to EP.