LOW CARBON OPERATING SYSTEM VS GREEN TECHNOLOGY

Low Carbon Operating Systems and green technology work hand in hand to reduce environmental impact and promote sustainability. Green technology provides the tools and innovations, like energy-efficient devices, renewable energy systems, and electric vehicles, that help cut down carbon emissions in everyday operations. It supports waste reduction through recycling and waste-to-energy systems and helps create smarter cities with clean energy and sustainable transportation. Industries also benefit from green technologies like carbon capture and eco-friendly manufacturing processes. Together, these systems and technologies make it easier to monitor emissions, save resources, and build a greener, healthier future for everyone.

Both Low Carbon Operating Systems (LCOS) and Green Technology are closely interconnected, as both focus on reducing environmental impact and promoting sustainability. Green technology provides the tools, innovations, and methodologies essential for implementing and enhancing low-carbon operations. Low-carbon systems provide the framework and goals for implementing sustainable practices, while green technology supplies the innovation and tools necessary to achieve these goals.

Relationship LCOS and Green Technology

Prepared by:

Dr Anis Sabirin Binti Baharom

Dr Wan Nazirah Binti Wan Adnan

ESG STRATEGIES FOR BUSINESS EXCELLENCE

 

Environmental, Social, and Governance (ESG)

Environmental, Social, and Governance (ESG) factors are no longer just a trend; they are becoming fundamental to long-term business success.

Integrating ESG principles into your business strategy can lead to significant benefits, including enhanced brand reputation, increased investor confidence, and improved operational efficiency

 ESG Framework

1.    Environmental (E):

Climate Change Mitigation: Reducing greenhouse gas emissions, transitioning to renewable energy sources, and implementing energy-efficient practices.

Resource Conservation: Optimizing resource usage, reducing waste, and promoting sustainable sourcing.

Pollution Prevention: Minimizing pollution and environmental impact throughout the value chain.

 

2.    Social (S):

Employee Relations: Fostering a positive work environment, promoting diversity and inclusion, and ensuring fair labor practices.

Customer Relations: Building strong customer relationships, prioritizing product safety and quality, and addressing customer concerns.

Community Engagement: Contributing to local communities, supporting social initiatives, and addressing social issues.

 

3.   Governance (G):

Ethical Leadership: Promoting ethical behavior at all levels of the organization and establishing a strong code of conduct.

Board Diversity: Ensuring board diversity in terms of skills, experience, and perspectives.

Risk Management: Identifying, assessing, and mitigating risks that could impact the business.

Transparency and Accountability: Providing clear and accurate information to stakeholders and holding the organization accountable for its actions.

 

Integrating ESG into Your Business Strategy

Prepared by:

 1. Dr Anis Sabirin binti Baharom

2. Dr Wan Nazirah binti Wan Adnan.

                           

ESG: A NEW ERA OF SUSTAINABLE BUSINESS

 

Environmental, Social, and Governance (ESG) has beyond basic buzzword status. It is emerging as the foundation of enduring company success. Integrating ESG concepts into your company's core can enhance brand recognition, attract discerning investors, and optimize operations.

Understanding the ESG Puzzle

Making ESG a Reality

To truly embed ESG into the business, should begin by assessing your current ESG performance. Identify the strengths and weaknesses to identify areas for improvement. Next, set distinct, measurable, and achievable ESG goals aligned with your overall business strategy. Integrate ESG considerations into every decision, from product development to supply chain management. Build strong relationships with stakeholders, actively seeking their input on ESG issues. Regularly report on your ESG progress to ensure transparency and accountability. Foster a company culture that values sustainability and empowers employees to contribute to ESG initiatives. Finally, invest in innovation to find innovative solutions to address ESG challenges and drive sustainable growth.

References:

• United Nations Global Compact: https://www.unglobalcompact.org/
• Sustainable Accounting Standards Board (SASB): https://www.sasb.org/
• Task Force on Climate-related Financial Disclosures (TCFD): https://www.fsb-tcfd.org/
• Global Reporting Initiative (GRI): https://www.globalreporting.org/

Prepared by:

 1. Dr Anis Sabirin binti Baharom

2. Dr Wan Nazirah binti Wan Adnan.

KURSUS PENDEK CANVA FOR BEGINNERS 2024

 

Kursus pendek "Canva for Beginners" telah diadakan pada 20 Julai 2024 (Sabtu) di Makmal Komputer, Sekolah Menengah Islam Hira’ & Maahad Tahfiz Al-Quran Hira', Jeram, Kuala Selangor. Kursus ini menyasarkan pelajar sekolah dari pelbagai peringkat umur, iaitu antara 13 hingga 17 tahun. Program ini memberikan peluang kepada pelajar untuk mereka bentuk grafik dengan cara mudah bagi mencipta pelbagai bahan visual dan dapat memenuhi ciri-ciri keperluan Pendidikan di bilik darjah. Kursus ini telah dikendalikan oleh tenaga pengajar yang berpengalaman luas dan mahir, iaitu Puan Rohaizah Ghazali, pensyarah dari Fakulti Kejuruteraan dan Sains Hayat, dibantu oleh fasilitator dari fakulti yang sama. Struktur kursus ini merangkumi sesi teori dan praktikal, di mana para pelajar diberi peluang untuk mempraktikkan apa yang mereka pelajari dengan bimbingan yang berterusan. Antara topik utama termasuklah pengenalan kepada Canva dan perinciannya, merekabentuk slaid, video dan poster. Diantara penekanan dalam rekabentuk adalah tajuk, kombinasi bentuk, warna, tulisan, element, susun atur dan tulisan.

Gambar 1: Tenaga pengajar Pn Rohaizah Ghazali memberi penerangan kepada para peserta

Gambar 2: Peserta-peserta membuat latihan sambil diberi tunjuk ajar oleh fasilitator

     

Gambar 3: Sesi perbincangan menentukan pemenang bagi setiap kategori.

Gambar 4: Pemenang kategori poster (Noor Aisyah Humaira Binti Ismail)

Gambar 5: Pemenang kategori video (Muhammad Adam Haiqal bin Fauzi)

Gambar 6: Pemenang kategori slaid (Aisyah Irdina Binti Abdul Halim)

Gambar 7: Peserta-peserta bergambar dengan sijil masing-masing didalam bilik makmal komputer Sekolah Menengah Islam Hira’ dan Maahad Tahfiz Al Quran Hira’

Gambar 8: Penyampaian sijil penghargaan serta cenderahati kepada Mualim dan Pembantu Makmal Sekolah Menengah Islam Hira’ dan Maahad Tahfiz Al Quran Hira’

Secara keseluruhan, "Canva for Beginners" ini telah mencapai matlamatnya dalam meningkatkan pengetahuan dan minat pelajar dalam rekabentuk dan membantu meningkatkan pembelajaran melalui pemanfaatan visual dan kreatif. Diharapkan program seperti ini dapat diteruskan pada masa hadapan bagi memberi manfaat kepada lebih ramai pelajar dalam penggunaan teknologi dalam proses pengajaran dan pembelajaran.

Disediakan oleh

DR. Anis Sabirin Binti Baharom

Pengarah Progam Kursus Pendek "Canva for Beginners"

Ahli Jawatankuasa Program: Dr. Wan Nazirah Wan Adnan, Dr. Mohd Arif Mat Norman, Ts. Mohamed Faisal Abdul Waduth, Ts. Dr. Siti Birkha Mohd Ali, Siti Nor Baizura Zawawi, Rohaizah Mohd Ghazali & Ir Rabitah Handan

OPTIMIZATION TECHNIQUES IN ELECTRICAL POWER SYSTEM.

 

Techniques for power system optimisation are crucial for improving electrical grid stability, dependability, and efficiency. The complexity of power systems has been addressed by a variety of approaches brought about by recent developments, such as machine learning, soft computing, and traditional optimisation techniques. The main optimisation techniques used in power systems are described in the sections that follow:

Optimization Techniques in Electrical Power System

Machine Learning Techniques

·     End-to-end optimisation: This method streamlines procedures by combining machine learning and conventional optimisation.

·   ML-Enhanced Optimisation: Makes use of past data to enhance operational effectiveness and decision-making [1].

·      Joint-Driven Optimisation: Provides reliable solutions by combining machine learning and physical system properties [1].

Soft Computing Techniques

·       Evolutionary Algorithms: To optimise system parameters, methods such as Genetic Algorithms(GA) and Particle Swarm Optimisation (PSO) efficiently traverse vast solution spaces [2].

·     Neural networks and fuzzy logic: these techniques improve flexibility and judgement in changing circumstances [2].

Generic Algorithm

Classical and Hybrid Techniques

·   Linear and Nonlinear Programming: Strategies like gradient-based optimisation and the Simplex approach are essential for resolving a range of power system issues [3].

·    FACTS Device Optimisation: Uses classical, metaheuristic, and hybrid approaches to get the best configuration while including mixed integer and nonlinear constraints [4].

Even though power system performance is much enhanced by these optimisation techniques, uncertainties and the growing complexity of contemporary power networks still present difficulties. Subsequent studies could concentrate on creating more resilient techniques that can adjust to these changing difficulties.

[1]      Zhan, Shi., Yan, Dong., Tian, Jie., Yudong, Lu., Xinying, Wang. (2024). “Research on Power System Optimization Algorithm Frameworks Empowered by Machine Learning.”, doi: 10.1109/yac63405.2024.10598728

[2]       Dr., Aayushi, Arya., Puneet, Garg., Sameera, Vellanki., Dr., M., Latha., Dr., Mohammad, Ahmar, Khan. (2024). “Optimisation Methods Based on Soft Computing for Improving Power System Stability.”, Journal of Electrical Systems, doi: 10.52783/jes.2837

[3] Renchang, Dai., Guangyi, Liu. (2023). ”Optimization Problems.” doi: 10.1002/9781119903895.ch6

[4]  I., Marouani., Tawfik, Guesmi., Badr, M., Alshammari., Khalid, Alqunun., Ahmed, Alshammari., S., Albadran., Hsan, Hadj, Abdallah., Salem, Rahmani. (2023). “Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods.” Sustainability, doi: 10.3390/su15129348

 

Prepared by:

Siti Nor Baizura Zawawi

Rohaizah Mohd Ghazali

 

KURSUS PENDEK ARDUINO WORKSHOP FOR BEGINNERS 2024

 

Kursus pendek "Arduino Workshop for Beginners" telah diadakan pada 29 Mei 2024 (Rabu) di Makmal Komputer, Fakulti Kejuruteraan dan Sains Hayat, UNISEL. Kursus ini menyasarkan pelajar sekolah dari pelbagai peringkat umur, iaitu antara 10 hingga 17 tahun dan telah diadakan semasa cuti sekolah pada bulan Mei 2024, memberikan peluang kepada pelajar untuk mengisi masa lapang mereka dengan aktiviti yang bermanfaat.

Tambahan pula, kursus ini telah dikendalikan oleh tenaga pengajar yang berpengalaman luas dan mahir, iaitu Ts. Mohamed Faisal Abdul Waduth, serta dibantu oleh beberapa fasilitator yang lain. Struktur kursus ini merangkumi sesi teori dan praktikal, di mana para pelajar diberi peluang untuk mempraktikkan apa yang mereka pelajari dengan bimbingan yang berterusan. Antara topik utama termasuklah pengenalan kepada Arduino dan komponennya., cara menyambung dan mengendalikan Arduino, penulisan kod asas untuk mengawal peranti elektronik serta eksperimen-eksperimen seperti mengawal LED, motor, dan sensor.

Gambar 1: Tenaga pengajar Ts. Mohamed Faisal Abdul Waduth memberi penerangan kepada para peserta

Gambar 2: Para fasilitator bersedia membantu peserta-peserta

 

Gambar 3: Peserta-peserta membuat eksperimen Arduino

Selain itu, kursus ini bertujuan untuk memberi pendedahan awal kepada pelajar tentang STEM (Sains, Teknologi, Kejuruteraan, dan Matematik) serta dapat membuka peluang kepada pelajar untuk mengembangkan kemahiran dan minat mereka dalam teknologi.

                                                       

Gambar 4: Peserta-peserta bergambar dengan sijil masing-masing

Secara keseluruhan, "Arduino Workshop for Beginners" ini telah mencapai matlamatnya dalam meningkatkan pengetahuan dan minat pelajar dalam bidang STEM. Diharapkan program seperti ini dapat diteruskan pada masa hadapan bagi memberi manfaat kepada lebih ramai pelajar.

 

Disediakan oleh

Rohaizah Mohd Ghazali

Pengarah Progam Kursus Pendek "Arduino Workshop for Beginners"

Bersama Ahli Jawatankuasa Program: Dr. Wan Nazirah, Dr. Arif, Ts. Mohamed Faisal, Ts. Dr. Siti Birkha, Dr Anis Sabirin, Siti Nor Baizura & Suzana

MEASUREMENT AND VERIFICATION (M&V): CONCEPT AND APPROACH FOR DETERMINING ENERGY SAVINGS

 

Energy saving in Malaysia is an important aspect of the country's sustainable development initiatives. With increasing energy demand driven to industrialization and urbanization, the Malaysian government has made energy efficiency a top priority. In line with this, the Malaysian government has introduced Energy Conservation Measures (ECM) projects, aimed specifically at reducing energy consumption in buildings. To accurately assess the impact of these projects, Measurement and Verification (M&V) activities were introduced. M&V is a process that uses measurements to reliably quantify the actual savings generated by specific actions under an energy management program.  Although M&V implementation in Malaysia is still relatively new, it is critical for ensuring accuracy and managing uncertainty in baseline energy modelling and savings reports. This accuracy is especially important when the savings are used as a basis to justify the return on investment for energy savings projects.

Several protocols and guidelines have been established for determining and verifying energy savings, with the International Performance Measurement and Verification Protocol (IPMVP) being the most comprehensive and widely adopted. The IPMVP, developed by the Efficiency Valuation Organization, provides a complete framework for M&V projects and has been applied to various energy efficiency measures worldwide. The key principles of the IPMVP for reporting energy savings are to ensure accuracy, completeness, consistency, relevance, and transparency. The IPMVP provides four measurement options to evaluate the savings [1] according to their area of application, namely; Option A, B, C and D where,

Option	Description
Option A	Key Parameter Measurement Retrofit Isolation. To determine the energy savings at retrofit point, where at least one parameter needs to be measured and others can be estimated using the building’s history or the manufacturer’s specifications.
Option B	All Parameter Measurements Retrofit Isolation. To determine the energy savings at retrofit point, where all parameters need to be measured. No estimations are allowed for this option.
Option C	Whole Facility. To determine the energy savings; where energy use for the whole or sub facility needs to be measured. Usually, energy data for this option is obtained from the electricity bills calculated using the energy suppliers’ meters
Option D	Calibrated Simulation. To determine the energy savings; where energy use for the whole or sub facility or retrofitted point is determined using energy simulation software.

Since energy savings cannot be measured directly, they are determined by comparing energy use before and after the implementation of an ECM. The figure below illustrates the M&V conceptual framework, which visualizes energy use during the baseline and post-retrofit periods, as well as the process for determining energy savings.

M&V Conceptual Framework

To accurately report savings, the baseline energy use pattern (before ECM implementation) is analysed to establish the relationship between energy use and independent variables. According to the IPMVP, in order to properly determine savings using M&V, a baseline energy model must first be developed using regression analysis to identify the relationship between energy use and independent variables. An independent variable is any factor that affects energy use in a building and is expected to vary, such as weather conditions, occupancy, or production levels. A baseline energy model is considered valid for determining savings if it meets the statistical correlation criteria specified by the IPMVP. After ECM implementation, this baseline energy model is used to estimate how much energy would have been used if the ECM had not been implemented. This estimate is referred to as the adjusted baseline energy. Savings are then calculated as the difference between the adjusted baseline energy and the energy measured during the post-retrofit period. If the baseline energy model meets the correlation criteria specified by the IPMVP, it is considered acceptable for reporting energy savings. The smaller the error in the baseline model, the more accurate the reported energy savings will be.

[1]      Efficiency Valuation Organization, “International Performance Measurement and Verification Protocol (IPMVP),” 2012.

Prepared by:

Dr Wan Nazirah Wan Md Adnan

Dr Anis Sabirin Baharom